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94 results on '"Jean-Yves Dieulot"'

1. Non-Linear Control of Interleaved Boost Converter Using Disturbance Observer-Based Approach

Author

Avinash Mishra, Sanjoy Mandal, Jean-Yves Dieulot, Mrinal R. Bachute, Mohd Faizan, Anna Pinnarelli, Mehrdad Heidari, and Alireza Soleimani

Subjects
Boost converter, disturbance estimation, dSPACE, integral sliding mode control, robust control, Electrical engineering. Electronics. Nuclear engineering, TK1-9971
Abstract

Applications such as fuel cell-based electric cars can benefit from the inherent characteristics of interleaved boost converters (IBCs), which include high voltage gain and minimal output voltage and input current ripples. To achieve effective regulation in the face of parameter changes, its critical to maintain the globally stable regulated IBC, especially as the use of highly variable loads increases. An innovative Integral sliding-mode controller along with a disturbance observer for the two-phase IBC (2PIBC) is suggested to ensure such large-signal stability. The time-domain approach is employed to verify the averaged model of the system, which forms basis of designing the controlled system. Several aspects of SMC design are discussed in detail, such as global stability, control signal creation, and sliding surface type selection. The proposed controller is shown to have excellent tracking capabilities with low computations. The use of the recommended control algorithm is demonstrated through MATLAB results and also using experiments based on prototype and using dSPACE 1104.

Published
2025
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2. Convolutional Neural Network for the Classification of the Control Mode of Grid-Connected Power Converters

Author

Rabah Ouali, Martin Legry, Jean-Yves Dieulot, Pascal Yim, Xavier Guillaud, and Frédéric Colas

Subjects
grid forming, grid following, deep learning, convolutional neural network, frequency admittance, Technology
Abstract

With the integration of power converters into the power grid, it becomes crucial for the Transmission System Operator (TSO) to ascertain whether they are operating in Grid Forming or Grid Following modes. Due to intellectual properties, classification can only be performed based on non-intrusive measurements and models, such as admittance at the PCC. This classification poses a challenge as the TSO lacks precise knowledge of the actual control structures and algorithms. This paper introduces a novel classification algorithm based on Convolutional Neural Networks (CNN), capable of detecting patterns in sequential data. The proposed CNN utilizes a new architecture to separate admittances along the d and q axes, and a decision layer allows to determine the correct converter mode. The performance of the proposed CNN model was assessed through two tests and compared to the traditional feedforward model. The proposed CNN architecture demonstrates significant classification capabilities, as it is able to identify the control mode of the converter even when its control structure is not part of the training dataset.

Published
2024
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3. Generic Dynamical Model of PEM Electrolyser under Intermittent Sources

Author

Sumit Sood, Om Prakash, Mahdi Boukerdja, Jean-Yves Dieulot, Belkacem Ould-Bouamama, Mathieu Bressel, and Anne-Lise Gehin

Subjects
proton exchange membrane electrolysis, green hydrogen, intermittent sources, graphical modelling, bond graph, dynamical simulation, Technology
Abstract

Proton Exchange Membrane (PEM) water electrolysis system is one of the promising technologies to produce green hydrogen from renewable energy sources (wind and solar). However, performance and dynamic analysis of PEM water electrolysis systems are challenging due to the intermittent nature of such sources and involved multi-physical behaviour of the components and subsystems. This study proposes a generic dynamical model of the PEM electrolysis system represented in a modular fashion using Bond Graph (BG) as a unified modelling approach. Causal and functional properties of the BG facilitate the formal PEM electrolyser model to adapt and to fit the different configurations of the electrolyser ranging from laboratory scale to industrial scale. The system-specific key parameter values are identified optimally for a laboratory-scale electrolyser system running on a multi-source energy platform using experimental data. The mean absolute percentage error between simulation and experimental data is found to be less than 5%. The performance characteristic curves of the electrolyser are predicted at different operating temperatures using the identified key parameters. The predicted performance is in good agreement with the expected behaviour of the electrolyser found in the literature. The model also estimates the different energy losses and the real-time efficiency of the system under dynamic inputs. With these capabilities, the developed model provides an economical mean for design, control, and diagnosis development of such systems.

Published
2020
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4. Stochastic Optimization of PQ Powers at the Interface between Distribution and Transmission Grids

Author

Jérôme Buire, Frédéric Colas, Jean-Yves Dieulot, and Xavier Guillaud

Subjects
distribution grid, hv/mv interface, stochastic optimization, reactive power control, volt-var control, Technology
Abstract

This paper addresses the volt-var control of distribution grids embedding many distributed generators (DGs). Specifically, it focuses on the compliance of powers to specified PQ diagrams at the high voltage/medium voltage (HV/MV) interface while the voltages remain well controlled. This is achieved using a two-stage optimization corresponding to two different classes of actuators. The tap position of capacitor banks is selected on a daily basis, given a stochastic model of the input powers prediction, which allows infrequent actuation and increases the device lifespan. In a second stage, a confidence level optimization problem allows to tune on an hourly basis the parameters of the DGs reactive power affine control laws. Results on a real-size grid show that the combined tuning of these actuators allows the ability to comply with European grid codes while the control effort remains reasonable.

Published
2019
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25. Robust diagnosis of PEM electrolysers using LFT bond graph

Author

Sumit Sood, Om Prakash, Jean-Yves Dieulot, Mahdi Boukerdja, Belkacem Ould-Bouamama, Mathieu Bressel, Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 (CRIStAL), Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS), and Indian Institute of Technology Patna (IITP)

Subjects
Fuel Technology, Renewable Energy, Sustainability and the Environment, [INFO.INFO-AU]Computer Science [cs]/Automatic Control Engineering, Energy Engineering and Power Technology, Condensed Matter Physics
Abstract

International audience

Published
2022
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38. Confidence Level Optimization of DG Piecewise Affine Controllers in Distribution Grids

Author

Xavier Guillaud, Frederic Colas, Jean-Yves Dieulot, Jerome Buire, Leticia De Alvaro, Laboratoire d’Électrotechnique et d’Électronique de Puissance - ULR 2697 [L2EP], L2EP - Équipe Réseaux, Laboratoire d'Électrotechnique et d'Électronique de Puissance (L2EP) - ULR 2697, Méthodes et Outils pour la Conception Intégrée de Systèmes [MOCIS], Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL], Laboratoire d’Électrotechnique et d’Électronique de Puissance - ULR 2697 (L2EP), Centrale Lille-Haute Etude d'Ingénieurs-Université de Lille-Arts et Métiers Sciences et Technologies, HESAM Université (HESAM)-HESAM Université (HESAM), HESAM Université (HESAM)-HESAM Université (HESAM)-Centrale Lille-Haute Etude d'Ingénieurs-Université de Lille-Arts et Métiers Sciences et Technologies, Méthodes et Outils pour la Conception Intégrée de Systèmes (MOCIS), Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 (CRIStAL), Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS), Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS), ENEDIS, Centrale Lille-Université de Lille-Arts et Métiers Sciences et Technologies, HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM)-HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM)-JUNIA (JUNIA), Université catholique de Lille (UCL)-Université catholique de Lille (UCL), and Université catholique de Lille (UCL)-Université catholique de Lille (UCL)-Centrale Lille-Université de Lille-Arts et Métiers Sciences et Technologies

Subjects
0209 industrial biotechnology, Optimization problem, General Computer Science, Computer science, Energie électrique [Sciences de l'ingénieur], 020209 energy, Gaussian, Probability density function, 02 engineering and technology, [SPI.AUTO]Engineering Sciences [physics]/Automatic, Normal distribution, symbols.namesake, 020901 industrial engineering & automation, Control theory, 0202 electrical engineering, electronic engineering, information engineering, piecewise affine controller, distribution network, Piecewise affine controller, Control tuning, Stochastic process, AC power, Grid, Distribution network, Stochastic power flow, stochastic power flow, Confidence level optimization, symbols, control tuning, Node (circuits)
Abstract

International audience; Distributed generators (DGs) reactive powers are controlled to mitigate voltage overshoots in distribution grids with stochastic power production and consumption. Classical DGs controllers may embed piecewise affine laws with dead-band terms. Their settings are usually tuned using a decentralized method which uses local data and optimizes only the DG node behavior. It is shown that when short-term forecasts of stochastic powers are Gaussian and the grid model is assumed to be linear, nodes voltages can either be approximated by Gaussian or sums of truncated Gaussian variables. In the latter case, the voltages probability density functions (pdf) that are needed to compute the overvoltage risks or DG control effort are less straightforward than for normal distributions. These pdf are used into a centralized optimization problem which tunes all DGs control parameters. The objectives consist in maximizing the confidence levels for which voltages and powers remain in prescribed domains and minimizing voltage variances and DG efforts. Simulations on a real distribution grid model show that the truncated Gaussian representation is relevant and that control parameters can easily be updated even when extra DGs are added to the grid. The DG reactive power can be reduced down to 50% or node voltages variances can be reduced down to 30%.

Published
2019
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39. LFT Bond Graph for Online Robust Fault Detection and Isolation of Hybrid Multi-Source System

Author

Anne-Lise Gehin, Jean-Yves Dieulot, Belkacem Ould-Bouamama, Omprakash, Mathieu Bressel, Sumit Sood, Mahdi Boukerdja, Youness Radi, Aissa Chouder, Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 (CRIStAL), and Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)

Subjects
History, [SPI]Engineering Sciences [physics], Computer science, Algorithm, Bond graph, Fault detection and isolation, Multi-source, Computer Science Applications, Education
Abstract

Green hydrogen is undoubtedly the most promising energy vector of the future because it is captured by renewable and inexhaustible sources, such as wind and/or solar energy, and can be stored over the long in high-pressure cylinders, which can be used to feed the fuel cells to produce the electricity without emitting any pollutants. The system incorporated renewable sources and process used to produce the green hydrogen is the hybrid multi-source system (HMS). The production of hydrogen needs a reliable HMS, which always requires online monitoring for real-time Fault Detection and Isolation (FDI) because the risk of accidents in HMS and safety issues increases due to the possibility of faults. However, online monitoring of FDI is challenging due to the multi-physics dynamics of HMS and the inclusion of uncertain parameters and several disturbances. This paper proposes an online robust fault detection algorithm to detect system faults based on the properties of the graphical linear fractional transformation bond graph (LFT-BG) modeling approach. Here, the analytical redundancy relations (ARRs) and their uncertain parts extracted from the LFT-BG model are used to develop an online robust FDI algorithm for HMS. Numerical evaluations of ARRs and their uncertain parts, respectively, generate the residual signals known as “faults indicators” and their uncertain bounds known as “adaptive thresholds.” These thresholds evolve with system variables in the presence of parameter uncertainties for ensuring robust FDI for HMS to minimize false alarms. The validation of this approach is carried out using 20sim software that is familiar with BG modeling.

Published
2021
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40. Non-Linear Primary Control Mapping for Droop-Like Behavior of Microgrid Systems

Author

Olivier Ducarme, Martin Legry, Frederic Colas, Jean-Yves Dieulot, Christophe Saudemont, Laboratoire d’Électrotechnique et d’Électronique de Puissance - ULR 2697 (L2EP), Centrale Lille-Université de Lille-Arts et Métiers Sciences et Technologies, HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM)-HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM)-JUNIA (JUNIA), Université catholique de Lille (UCL)-Université catholique de Lille (UCL), Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 (CRIStAL), Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS), L2EP - Équipe Réseaux, Université catholique de Lille (UCL)-Université catholique de Lille (UCL)-Centrale Lille-Université de Lille-Arts et Métiers Sciences et Technologies, ENGIE, Centrale Lille-Haute Etude d'Ingénieurs-Université de Lille-Arts et Métiers Sciences et Technologies, HESAM Université (HESAM)-HESAM Université (HESAM), Méthodes et Outils pour la Conception Intégrée de Systèmes (MOCIS), Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS), and HESAM Université (HESAM)-HESAM Université (HESAM)-Centrale Lille-Haute Etude d'Ingénieurs-Université de Lille-Arts et Métiers Sciences et Technologies

Subjects
Networked microgrids, Operating point, General Computer Science, Computer science, business.industry, 020209 energy, Energie électrique [Sciences de l'ingénieur], 020208 electrical & electronic engineering, Automatic frequency control, [SPI.NRJ]Engineering Sciences [physics]/Electric power, 02 engineering and technology, DER primary control, AC power, [SPI]Engineering Sciences [physics], Electric power system, Control theory, Nonlinear primary control, Distributed generation, 0202 electrical engineering, electronic engineering, information engineering, Voltage droop, Microgrid, PCC doop control, business, ComputingMilieux_MISCELLANEOUS
Abstract

International audience; Interconnecting microgrids in LV power system presents appealing features such as self-healing or power quality. When networked microgrids are not connected to a strong utility grid, their Point of Common Coupling (PCC) voltage and their power reserves vary with the operating point. An external droop control architecture is proposed that allows active and reactive power sharing among the different microgrids, thereby stabilizing the system frequency and PCC voltage, and the maximum achievable droop gains are supplied. Next, the design of appropriate primary controllers for the Distributed Energy Resources inside each microgrid allows to achieve a specified aggregated external droop controller at the connection point with little communication requirements. This methodology is applied to a modified CIGRE benchmark and shows good results while keeping a standard decentralized control architecture.

Published
2020
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41. Stochastic Optimization of PQ Powers at the Interface between Distribution and Transmission Grids

Author

Frederic Colas, Xavier Guillaud, Jean-Yves Dieulot, Jerome Buire, Laboratoire d’Électrotechnique et d’Électronique de Puissance - ULR 2697 [L2EP], Laboratoire d'Électrotechnique et d'Électronique de Puissance (L2EP) - ULR 2697, Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL], Laboratoire d’Électrotechnique et d’Électronique de Puissance - ULR 2697 (L2EP), Centrale Lille-Université de Lille-Arts et Métiers Sciences et Technologies, HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM)-HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM)-JUNIA (JUNIA), Université catholique de Lille (UCL)-Université catholique de Lille (UCL), Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 (CRIStAL), Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS), Centrale Lille-Haute Etude d'Ingénieurs-Université de Lille-Arts et Métiers Sciences et Technologies, and HESAM Université (HESAM)-HESAM Université (HESAM)

Subjects
Control and Optimization, Optimization problem, General Computer Science, Stochastic modelling, Computer science, Reactive power control, 020209 energy, Energie électrique [Sciences de l'ingénieur], Distribution grid, Stochastic optimization, Energy Engineering and Power Technology, 02 engineering and technology, lcsh:Technology, law.invention, reactive power control, law, Control theory, volt-var control, 0202 electrical engineering, electronic engineering, information engineering, Electrical and Electronic Engineering, Engineering (miscellaneous), distribution grid, lcsh:T, Renewable Energy, Sustainability and the Environment, 020208 electrical & electronic engineering, [SPI.NRJ]Engineering Sciences [physics]/Electric power, HV/MV interface, High voltage, Volt-var control, AC power, stochastic optimization, Grid, Capacitor, Transmission (mechanics), Transmission (telecommunications), Energy (miscellaneous), Voltage
Abstract

International audience; This paper addresses the volt-var control of distribution grids embedding many distributed generators (DGs). Specifically, it focuses on the compliance of powers to specified PQ diagrams at the high voltage/medium voltage (HV/MV) interface while the voltages remain well controlled. This is achieved using a two-stage optimization corresponding to two different classes of actuators. The tap position of capacitor banks is selected on a daily basis, given a stochastic model of the input powers prediction, which allows infrequent actuation and increases the device lifespan. In a second stage, a confidence level optimization problem allows to tune on an hourly basis the parameters of the DGs reactive power affine control laws. Results on a real-size grid show that the combined tuning of these actuators allows the ability to comply with European grid codes while the control effort remains reasonable.

Published
2019

42. Stochastic estimation of PQ powers at the interface between distribution and transport grids

Author

Leticia De Alvaro, Xavier Guillaud, Jerome Buire, Frederic Colas, and Jean-Yves Dieulot

Subjects
Stochastic modelling, Computer science, 020209 energy, 020208 electrical & electronic engineering, 02 engineering and technology, Power factor, AC power, Grid, Tap changer, law.invention, Capacitor, Position (vector), law, Control theory, 0202 electrical engineering, electronic engineering, information engineering, Stochastic optimization
Abstract

The insertion of stochastic renewable energies in distribution grids generates important voltage fluctuations and reactive power exchange between distribution grids and transmission grids. These variations need to comply with European grid codes. The control strategy involves the actuation of the On Load Tap Changer and Capacitor Banks tap position, and the reactive powers of the DGs. This paper focuses on the stochastic estimation of the powers at the interface and the influence of the Capacitor Bank tap position. The main results are that, using a simplified stochastic model of the grid, one can obtain the distribution of the powers, and select, on a daily basis, the tap position which minimizes the level of the prescribed PQ diagram violation risk. This study paves the way for a volt-var stochastic optimization of the distribution grid.

Published
2019
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43. Mixed integer quadratic programming receding horizon microgrid supervisor

Author

Christophe Saudemont, Olivier Ducarme, Frederic Colas, Martin Legry, Jean-Yves Dieulot, Laboratoire d’Électrotechnique et d’Électronique de Puissance - ULR 2697 (L2EP), Centrale Lille-Université de Lille-Arts et Métiers Sciences et Technologies, HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM)-HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM)-JUNIA (JUNIA), Université catholique de Lille (UCL)-Université catholique de Lille (UCL), L2EP - Équipe Réseaux, Université catholique de Lille (UCL)-Université catholique de Lille (UCL)-Centrale Lille-Université de Lille-Arts et Métiers Sciences et Technologies, Méthodes et Outils pour la Conception Intégrée de Systèmes (MOCIS), Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 (CRIStAL), Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS), ENGIE, Centrale Lille-Haute Etude d'Ingénieurs-Université de Lille-Arts et Métiers Sciences et Technologies, HESAM Université (HESAM)-HESAM Université (HESAM), and HESAM Université (HESAM)-HESAM Université (HESAM)-Centrale Lille-Haute Etude d'Ingénieurs-Université de Lille-Arts et Métiers Sciences et Technologies

Subjects
Optimization, Mathematical optimization, Optimization problem, Computer science, Economics, Energie électrique [Sciences de l'ingénieur], 020209 energy, 02 engineering and technology, Predictive models, Mathematical model, Computer Science::Systems and Control, Linear programming, 0202 electrical engineering, electronic engineering, information engineering, Decomposition (computer science), Microgrids, ComputingMilieux_MISCELLANEOUS, Load modeling, Supervisor, 020208 electrical & electronic engineering, [SPI.NRJ]Engineering Sciences [physics]/Electric power, Grid, Power (physics), State (computer science), Microgrid, Integer (computer science)
Abstract

International audience; This paper proposes to optimize the real time operation of a microgrid controlled with a two-layer Model Predictive Controller supervisor. Based on the classical decomposition of control level, the proposed supervisor tracks long-term economic references from a classical economic optimization routine. The optimization problem is formulated as a Mixed Integer Quadratic Problem and uses the different power references as levers to reach this optimum and maintain the state of the microgrid within limitations. In addition, it is able to minimize the grid losses.

Published
2019
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44. Convex formulation of confidence level optimization of DG affine reactive power controllers in distribution grids

Author

Xavier Guillaud, Jerome Buire, Leticia De Alvaro, Frederic Colas, Jean-Yves Dieulot, Laboratoire d’Électrotechnique et d’Électronique de Puissance - ULR 2697 (L2EP), Centrale Lille-Haute Etude d'Ingénieurs-Université de Lille-Arts et Métiers Sciences et Technologies, HESAM Université (HESAM)-HESAM Université (HESAM), L2EP - Équipe Réseaux, HESAM Université (HESAM)-HESAM Université (HESAM)-Centrale Lille-Haute Etude d'Ingénieurs-Université de Lille-Arts et Métiers Sciences et Technologies, Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 (CRIStAL), Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS), Méthodes et Outils pour la Conception Intégrée de Systèmes (MOCIS), Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS), ENEDIS, Laboratoire d’Électrotechnique et d’Électronique de Puissance - ULR 2697 [L2EP], Méthodes et Outils pour la Conception Intégrée de Systèmes [MOCIS], Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL], Laboratoire d'Électrotechnique et d'Électronique de Puissance (L2EP) - ULR 2697, Centrale Lille-Université de Lille-Arts et Métiers Sciences et Technologies, HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM)-HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM)-JUNIA (JUNIA), Université catholique de Lille (UCL)-Université catholique de Lille (UCL), and Université catholique de Lille (UCL)-Université catholique de Lille (UCL)-Centrale Lille-Université de Lille-Arts et Métiers Sciences et Technologies

Subjects
Mathematical optimization, Fractional programming problem, Computer science, Energie électrique [Sciences de l'ingénieur], 020209 energy, Gaussian, Energy Engineering and Power Technology, 02 engineering and technology, symbols.namesake, Convergence (routing), 0202 electrical engineering, electronic engineering, information engineering, Electrical and Electronic Engineering, ComputingMilieux_MISCELLANEOUS, Control tuning, Basis (linear algebra), Convex optimization problem, [SPI.NRJ]Engineering Sciences [physics]/Electric power, 020208 electrical & electronic engineering, AC power, Power (physics), Distribution network, Stochastic power flow, Confidence level optimization, symbols, Stochastic optimization, Node (circuits), Affine transformation
Abstract

Volatile productions and consumptions generate a stochastic behavior of distribution grids and make its supervision difficult to achieve. Usually, the Distributed Generators reactive powers are adjusted to perform decentralized voltage control. Industrial controllers are generally equipped with a local affine feedback law, which settings are tuned at early stage using local data. A centralized and more efficient tuning method should aim to maximize the probability that all the node voltages of distribution grids remain within prescribed bounds. When the characteristics of the stochastic power forecasts are known, the centralized algorithm allows to update the settings on a regular time basis. However, the method requires to solve stochastic optimization problem. Assuming that stochastic variables have Gaussian distributions, a procedure is given which guarantees the convergence of the stochastic optimization. Convex problems drastically reduce the difficulty and the computational time required to reach the global minimum, compared to nonconvex optimal power flow problems. The linear controllers with optimized parameters are compared to traditional control laws using simulations of a real distribution grid model. The results show that the algorithm is reliable and moreover fast enough. Hence, the proposed method can be used to update periodically the control parameters.

Published
2020
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45. Stochastic power flow of distribution networks including dispersed generation system

Author

Frederic Colas, Jean-Yves Dieulot, Xavier Guillaud, Jerome Buire, Leticia De Alvaro, Laboratoire d’Électrotechnique et d’Électronique de Puissance - ULR 2697 (L2EP), Centrale Lille-Haute Etude d'Ingénieurs-Université de Lille-Arts et Métiers Sciences et Technologies, HESAM Université (HESAM)-HESAM Université (HESAM), L2EP - Équipe Réseaux, HESAM Université (HESAM)-HESAM Université (HESAM)-Centrale Lille-Haute Etude d'Ingénieurs-Université de Lille-Arts et Métiers Sciences et Technologies, Méthodes et Outils pour la Conception Intégrée de Systèmes (MOCIS), Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 (CRIStAL), Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS), Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS), ENEDIS, Centrale Lille-Université de Lille-Arts et Métiers Sciences et Technologies, HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM)-HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM)-JUNIA (JUNIA), Université catholique de Lille (UCL)-Université catholique de Lille (UCL), and Université catholique de Lille (UCL)-Université catholique de Lille (UCL)-Centrale Lille-Université de Lille-Arts et Métiers Sciences et Technologies

Subjects
Computer science, Stochastic process, 020209 energy, Gaussian, Linear model, Probability density function, 02 engineering and technology, AC power, Grid, Topology, Tap changer, [SPI.AUTO]Engineering Sciences [physics]/Automatic, symbols.namesake, 0202 electrical engineering, electronic engineering, information engineering, symbols, Node (circuits), ComputingMilieux_MISCELLANEOUS
Abstract

The insertion of stochastic renewable energies in distribution grids generates important voltage fluctuations. However, the influence of the On Load Tap Changer and Distributed Generators (DGs) controllers, and specifically the existence of dead-bands in the control laws, has been seldom evaluated. Under the assumptions of Gaussian inputs and a linear model of the grid, it is shown that node voltages can be approximated either by Gaussian variables or sums of truncated Gaussian variables. A procedure is necessary to select the Probability Density Function (PDF) which fits best each node voltage. A signal based method and another algorithm relying on the grid topology are presented and compared when the modeling is applied to a real distribution grid. The model is accurate and can be used for confidence level or chance-constrained optimization of control parameters.

Published
2018

46. A Two-layer Model Predictive Control Based Secondary Control with Economic Performance Tracking for Islanded Microgrids

Author

Frederic Colas, Olivier Ducarme, Jean-Yves Dieulot, Christophe Saudemont, Martin Legry, L2EP - Équipe Réseaux, Laboratoire d’Électrotechnique et d’Électronique de Puissance - ULR 2697 (L2EP), Centrale Lille-Université de Lille-Arts et Métiers Sciences et Technologies, HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM)-HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM)-JUNIA (JUNIA), Université catholique de Lille (UCL)-Université catholique de Lille (UCL)-Centrale Lille-Université de Lille-Arts et Métiers Sciences et Technologies, Université catholique de Lille (UCL)-Université catholique de Lille (UCL), Méthodes et Outils pour la Conception Intégrée de Systèmes (MOCIS), Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 (CRIStAL), Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS), Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS), Centrale Lille-Haute Etude d'Ingénieurs-Université de Lille-Arts et Métiers Sciences et Technologies, HESAM Université (HESAM)-HESAM Université (HESAM)-Centrale Lille-Haute Etude d'Ingénieurs-Université de Lille-Arts et Métiers Sciences et Technologies, and HESAM Université (HESAM)-HESAM Université (HESAM)

Subjects
0209 industrial biotechnology, Hierarchical control, Discretization, Computer science, Energy management, Energie électrique [Sciences de l'ingénieur], 020208 electrical & electronic engineering, Two layer, 02 engineering and technology, 7. Clean energy, Uniformization (probability theory), [SPI.AUTO]Engineering Sciences [physics]/Automatic, Model predictive control, Predictive Control, Energy Management System, 020901 industrial engineering & automation, State of charge, Control theory, Power Management System, 0202 electrical engineering, electronic engineering, information engineering, Microgrid, Microgrids, ComputingMilieux_MISCELLANEOUS
Abstract

This paper proposes a two-layer microgrid supervisor based on Model Predictive Control (MPC). The supervisor in the upper layer relies on an economical optimization that considers the cost of energy and the load and production forecasts to define the State of Charge (SoC) targets for each storage device on a timescale of 15 minutes. The lower layer displays a shorter timescale and aims to control the equipment to ensure the stability of the overall system and SoC tracking while satisfying the economic constraints specified by the upper layer. These two layers require an uniformization of the timestep and of the references in order to behave properly. The main contributions of this paper are the microgrid network modelling embedded in the optimization routine of the lower layer and a discretization for integrating upper-layer references.

Published
2018
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47. A port-Hamiltonian framework for operator force assisting systems: Application to the design of helicopter flight controls

Author

Jean-Yves Dieulot, Julien Gomand, Matthieu Touron, Pierre-Jean Barre, Laboratoire des Sciences de l'Information et des Systèmes (LSIS), Centre National de la Recherche Scientifique (CNRS)-Arts et Métiers Paristech ENSAM Aix-en-Provence-Université de Toulon (UTLN)-Aix Marseille Université (AMU), Méthodes et Outils pour la Conception Intégrée de Systèmes (MOCIS), Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 (CRIStAL), Université de Lille-Ecole Centrale de Lille-Centre National de la Recherche Scientifique (CNRS)-Université de Lille-Ecole Centrale de Lille-Centre National de la Recherche Scientifique (CNRS), Université de Lille-Ecole Centrale de Lille-Centre National de la Recherche Scientifique (CNRS), Laboratoire d’Électrotechnique et d’Électronique de Puissance - ULR 2697 (L2EP), Ecole Centrale de Lille-Haute Etude d'Ingénieurs-Université de Lille-Arts et Métiers Sciences et Technologies, HESAM Université (HESAM)-HESAM Université (HESAM), Administrateur Ensam, Compte De Service, Laboratoire des Sciences de l'Information et des Systèmes [LSIS], Méthodes et Outils pour la Conception Intégrée de Systèmes [MOCIS], Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL], Laboratoire d’Électrotechnique et d’Électronique de Puissance - ULR 2697 [L2EP], Aix Marseille Université (AMU)-Université de Toulon (UTLN)-Arts et Métiers Paristech ENSAM Aix-en-Provence-Centre National de la Recherche Scientifique (CNRS), Ecole Centrale de Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Ecole Centrale de Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS), Ecole Centrale de Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS), Laboratoire d’Ingénierie des Systèmes Physiques et Numériques (LISPEN), Arts et Métiers Sciences et Technologies, HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM)-HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM), Polytech'Montpellier, Université Montpellier 2 - Sciences et Techniques (UM2), Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS), Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS), and Polytech

Subjects
0209 industrial biotechnology, Engineering, [SPI] Engineering Sciences [physics], Aerospace Engineering, 02 engineering and technology, Sciences de l'ingénieur, [SPI.AUTO]Engineering Sciences [physics]/Automatic, symbols.namesake, [SPI]Engineering Sciences [physics], 020901 industrial engineering & automation, 0203 mechanical engineering, Helicopter flight controls, Helicopter Flight-axis control, Scaling, ComputingMilieux_MISCELLANEOUS, Haptic technology, Continuously variable transmission, 020301 aerospace & aeronautics, business.industry, Port-Hamiltonian, Control engineering, Swashplate, Control system, Dissipative system, symbols, business, Hamiltonian (quantum mechanics), Assisting system Passivity
Abstract

International audience; An energetic representation of helicopter flight controls, viewed as an Operator Assisting System, is proposed within the Port-Hamiltonian framework. The assisting controller modifies the dynamical behavior between the pilot stick and the swashplate, linked through a Continuous Variable Transmission, by enforcing force scaling and providing appropriate force feedback to the operator. Generic sufficient conditions are given on the assistance location and structure which allow the assisted system to bedissipative, hence providing nice stability and power scaling properties. Results are applied to the design of an assistance for a simplified flight control system. Simulations show the relevance of the method and are compared to real-life results.

Published
2018
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48. Embedding OLTC nonlinearities in predictive Volt Var Control for active distribution networks

Author

Frederic Colas, Jean-Yves Dieulot, Juliette Morin, Sébastien Grenard, Xavier Guillaud, Laboratoire d’Électrotechnique et d’Électronique de Puissance - ULR 2697 [L2EP], Laboratoire d'Électrotechnique et d'Électronique de Puissance (L2EP) - ULR 2697, Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL], Laboratoire d’Électrotechnique et d’Électronique de Puissance - ULR 2697 (L2EP), Centrale Lille-Haute Etude d'Ingénieurs-Université de Lille-Arts et Métiers Sciences et Technologies, HESAM Université (HESAM)-HESAM Université (HESAM), Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 (CRIStAL), Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS), Centrale Lille-Université de Lille-Arts et Métiers Sciences et Technologies, HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM)-HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM)-JUNIA (JUNIA), Université catholique de Lille (UCL)-Université catholique de Lille (UCL), Laboratoire d’Électrotechnique et d’Électronique de Puissance (L2EP), Ecole Centrale de Lille-Haute Etude d'Ingénieurs-Université de Lille-Arts et Métiers Sciences et Technologies, Méthodes et Outils pour la Conception Intégrée de Systèmes (MOCIS), Centre de Recherche en Informatique, Signal et Automatique de Lille (CRIStAL) - UMR 9189 (CRIStAL), Ecole Centrale de Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Ecole Centrale de Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS), Ecole Centrale de Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS), and ERDF

Subjects
0209 industrial biotechnology, Engineering, Energie électrique [Sciences de l'ingénieur], 020209 energy, Gaussian, Energy Engineering and Power Technology, 02 engineering and technology, Smart Grids, [SPI.AUTO]Engineering Sciences [physics]/Automatic, symbols.namesake, 020901 industrial engineering & automation, Control theory, Convergence (routing), 0202 electrical engineering, electronic engineering, information engineering, Electrical and Electronic Engineering, Distribution Network, Mixed Integer Continuous Programming, Model Predictive Control, On-Load-Tap-Changer, Reactive Power Management, Voltage Control, ComputingMilieux_MISCELLANEOUS, business.industry, [SPI.NRJ]Engineering Sciences [physics]/Electric power, Power (physics), Model predictive control, Smart grid, symbols, Stochastic optimization, Node (circuits), Affine transformation, business
Abstract

International audience; Volatile productions and consumptions generate a stochastic behavior of distribution grids and make its supervision difficult to achieve. Usually, the Distributed Generators reactive powers are adjusted to perform decentralized voltage control. Industrial controllers are generally equipped with a local affine feedback law, which settings are tuned at early stage using local data. A centralized and more efficient tuning method should aim to maximize the probability that all the node voltages of distribution grids remain within prescribed bounds. When the characteristics of the stochastic power forecasts are known, the centralized algorithm allows to update the settings on a regular time basis. However, the method requires to solve stochastic optimization problem. Assuming that stochastic variables have Gaussian distributions, a procedure is given which guarantees the convergence of the stochastic optimization. Convex problems drastically reduce the difficulty and the computational time required to reach the global minimum, compared to nonconvex optimal power flow problems. The linear controllers with optimized parameters are compared to traditional control laws using simulations of a real distribution grid model. The results show that the algorithm is reliable and moreover fast enough. Hence, the proposed method can be used to update periodically the control parameters.

Published
2017

49. Optimal reactive power flow in a HV grid connected to several distribution grids with predictive Volt Var Control

Author

Sébastien Grenard, Xavier Guillaud, Frederic Colas, Jean-Yves Dieulot, Juliette Morin, Laboratoire d’Électrotechnique et d’Électronique de Puissance - ULR 2697 (L2EP), Centrale Lille-Haute Etude d'Ingénieurs-Université de Lille-Arts et Métiers Sciences et Technologies, HESAM Université (HESAM)-HESAM Université (HESAM), Méthodes et Outils pour la Conception Intégrée de Systèmes (MOCIS), Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 (CRIStAL), Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS), Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS), Laboratoire d’Électrotechnique et d’Électronique de Puissance - ULR 2697 [L2EP], Méthodes et Outils pour la Conception Intégrée de Systèmes [MOCIS], Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL], Laboratoire d'Électrotechnique et d'Électronique de Puissance (L2EP) - ULR 2697, Centrale Lille-Université de Lille-Arts et Métiers Sciences et Technologies, HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM)-HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM)-JUNIA (JUNIA), and Université catholique de Lille (UCL)-Université catholique de Lille (UCL)

Subjects
021103 operations research, Computer science, 020209 energy, Interface (computing), 0211 other engineering and technologies, Volt, High voltage, 02 engineering and technology, AC power, Grid, law.invention, [SPI.AUTO]Engineering Sciences [physics]/Automatic, Transmission (mechanics), Transmission (telecommunications), Flow (mathematics), Control and Systems Engineering, law, Control theory, 0202 electrical engineering, electronic engineering, information engineering, Electronic engineering, ComputingMilieux_MISCELLANEOUS, Voltage
Abstract

This paper proposes an optimal power flow to supervise several distribution networks connected to a transmission grid. MV (Medium Voltage)grids can support the voltages of the HV (High Voltage) network by controlling adequately the reactive power exchange at the HV/MV interface. The interaction between the distribution grids equipped with predictive Volt-Var Controllers (VVC) and the optimal coordination is investigated. From a case study involving a rural network, several recommendations are given to tune and combine these controllers.

Published
2017
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50. Joint DSO–TSO reactive power management for an HV system considering MV systems support

Author

Juliette Morin, Frederic Colas, Xavier Guillad, Jean-Yves Dieulot, Sébastien Grenard, Laboratoire d’Électrotechnique et d’Électronique de Puissance - ULR 2697 [L2EP], Laboratoire d'Électrotechnique et d'Électronique de Puissance (L2EP) - ULR 2697, Méthodes et Outils pour la Conception Intégrée de Systèmes [MOCIS], Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL], Laboratoire d’Électrotechnique et d’Électronique de Puissance - ULR 2697 (L2EP), Centrale Lille-Université de Lille-Arts et Métiers Sciences et Technologies, HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM)-HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM)-JUNIA (JUNIA), Université catholique de Lille (UCL)-Université catholique de Lille (UCL), Méthodes et Outils pour la Conception Intégrée de Systèmes (MOCIS), Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 (CRIStAL), Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS), Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS), ERDF, Centrale Lille-Haute Etude d'Ingénieurs-Université de Lille-Arts et Métiers Sciences et Technologies, and HESAM Université (HESAM)-HESAM Université (HESAM)

Subjects
Computer science, 020209 energy, Interface (computing), 020208 electrical & electronic engineering, Control (management), [SPI.NRJ]Engineering Sciences [physics]/Electric power, 02 engineering and technology, General Medicine, AC power, Reactive power management, Reliability engineering, Operator (computer programming), Reactive power control, 0202 electrical engineering, electronic engineering, information engineering, Joint (building), ComputingMilieux_MISCELLANEOUS
Abstract

This article deals with a joint distribution system operator–transmission system operator (DSO–TSO) reactive power management to support TSO operations at high-voltage level. This management is based on the coordination of several volt-var control schemes of medium-voltage networks able to control the reactive power at the DSO–TSO interface. The coordination is achieved through the resolution of an OPF problem. The definition of this latter is further discussed and recommendations are raised.

Published
2017
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