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9. Fuzzy Control for Multi-Energy Microgrids

Author

Horrillo-Quintero, Pablo, primary, García-Triviño, Pablo, additional, Hosseini, Ehsan, additional, García-Vázquez, Carlos Andrés, additional, Sánchez-Sainz, Higinio, additional, Ugalde-Loo, Carlos E., additional, Peric, Vedran, additional, and Fernández-Ramírez, Luis M., additional

Published
2024
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11. Control of Electrical/Thermal Multi-Energy Microgrid

Author

Horrillo-Quintero, Pablo, primary, García-Triviño, Pablo, additional, Hosseini, Ehsan, additional, García-Vázquez, Carlos Andrés, additional, Sánchez-Sainz, Higinio, additional, Ugalde-Loo, Carlos E., additional, Peric, Vedran, additional, and Fernández-Ramírez, Luis M., additional

Published
2023
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24. Control System for Quasi-Z-source Cascaded Hbridge Multilevel Inverter with PV Power Generation and Battery Energy Storage System.

Author

Horrillo-Quintero, Pablo, García-Triviño, Pablo, Sarrias-Mena, Raúl, García-Vázquez, Carlos A., and Fernández-Ramírez, Luis M.

Subjects
BATTERY storage plants, ENERGY management, PHOTOVOLTAIC power systems, ENERGY conversion, ELECTRIC power distribution grids
Abstract

Quasi-Z-source cascaded H-bridge multilevel inverters with energy storage (ES-qZS-CHBMLIs) have considerable advantages over traditional multilevel inverters. In particular, they allow a balanced voltage level to be achieved on the DC link, and power conversion is performed in a single stage without the need for an additional DC/DC converter. Furthermore, a higher voltage gain and improved output waveform (due to the elimination of switching dead times) are attained. The battery energy storage system (BESS) integrated into each cascade converter ensures energy storage to support the renewable power, photovoltaic (PV) power plant in this case, connected to the input of this converter. This paper presents a new energy management system (EMS) for a grid-connected ES-qZSCHBMLI with PV power generation. The EMS guarantees the correct operation of the BESS independently, limiting the state-ofcharge (SOC) between the minimum and maximum safety values, and setting its maximum charge or discharge power to its nominal power, extending the useful life of the BESS. A maximum power point tracking (MPPT) based on the Perturb & Observe (P&O) algorithm ensures optimal operation of the PV power plants connected to each cascade converter. The results obtained from MATLAB-Simulink on a grid-connected single-phase configuration based on an ES-qZS-CHBMLI with three cascade qZSI, each connected to a 4.8 kW PV power plant and operating in different conditions, validate the proposed configuration and the control system. [ABSTRACT FROM AUTHOR]

Published
2022

26. Model Predictive Control-Based Optimized Operation of a Hybrid Charging Station for Electric Vehicles

Author

Ingeniería Eléctrica, Ingeniería en Automática, Electrónica, Arquitectura y Redes de Computadores, González Rivera, Enrique, García Triviño, Pablo, Sarrias Mena, Raúl, Torreglosa, Juan P., Jurado, Francisco, Fernández Ramírez, Luis Miguel, Ingeniería Eléctrica, Ingeniería en Automática, Electrónica, Arquitectura y Redes de Computadores, González Rivera, Enrique, García Triviño, Pablo, Sarrias Mena, Raúl, Torreglosa, Juan P., Jurado, Francisco, and Fernández Ramírez, Luis Miguel

Abstract

This paper presents an energy management system (EMS) based on a novel approach using model predictive control (MPC) for the optimized operation of power sources in a hybrid charging station for electric vehicles (EVs). The hybrid charging station is composed of a photovoltaic (PV) system, a battery, a complete hydrogen system based on a fuel cell (FC), electrolyzer (EZ), and tank as an energy storage system (ESS), grid connection, and six fast charging units, all of which are connected to a common MVDC bus through Z-source converters (ZSC). The MPC-based EMS is designed to control the power flow among the energy sources of the hybrid charging station and reduce the utilization costs of the ESS and the dependency on the grid. The viability of the EMS was proved under a long-term simulation of 25 years in Simulink, using real data for the sun irradiance and a European load profile for EVs. Furthermore, this EMS is compared with a simpler alternative that is used as a benchmark, which pursues the same objectives, although using a states-based strategy. The results prove the suitability of the EMS, achieving a lower utilization cost (-25.3%), a notable reduction in grid use (-60% approximately) and an improvement in efficiency.

Published
2021

27. Averaged Dynamic Modeling and Control of a Quasi-Z-Source Inverter for Wind Power Applications

Author

Ingeniería Eléctrica, Ingeniería en Automática, Electrónica, Arquitectura y Redes de Computadores, Soares-Ramos, Emanuel P. P., De Oliveira-Assis, Lais, Sarrias Mena, Raúl, García Triviño, Pablo, García Vázquez, Carlos Andrés, Fernández Ramírez, Luis Miguel, Ingeniería Eléctrica, Ingeniería en Automática, Electrónica, Arquitectura y Redes de Computadores, Soares-Ramos, Emanuel P. P., De Oliveira-Assis, Lais, Sarrias Mena, Raúl, García Triviño, Pablo, García Vázquez, Carlos Andrés, and Fernández Ramírez, Luis Miguel

Abstract

Typically, permanent magnet synchronous generator (PMSG)-driven wind turbines (WTs) present a two-stage power converter topology based on a DC/DC boost converter and voltage source inverter. In this study, this configuration is substituted by a quasi-Z-source inverter (qZSI), which is an attractive solution for boosting and converting the voltage from DC to AC in a single stage. A 2 MW PMSG WT with qZSI was studied herein. A switched dynamic model (SDM) of the qZSI (including the modeling of all switches and firing pulses) is not recommended for steady-state stability studies, long-term simulations, or large electric power systems. For such studies, two averaged dynamic models are proposed in this work. Both models present the same control system as the SDM, except for the generation of firing pulses, which is not necessary in the averaged models. The two proposed models were evaluated and compared with the SDM in the large-scale WT under different operating conditions, such as wind speed fluctuations, variable power references, and grid disturbances (voltage sag and 3(rd) and 5(th) order harmonics injection), in order to demonstrate their adequacy to represent the system response with a high reduction in the simulation time and computational efforts.

Published
2021

28. Optimal energy management system using biogeography based optimization for grid-connected MVDC microgrid with photovoltaic, hydrogen system, electric vehicles and Z-source converters

Author

Ingeniería Eléctrica, De Oliveira-Assis, Lais, García Triviño, Pablo, Soares-Ramos, Emanuel P. P., Sarrias Mena, Raúl, García Vázquez, Carlos Andrés, Ugalde-Loo, Carlos Ernesto, Fernández Ramírez, Luis Miguel, Ingeniería Eléctrica, De Oliveira-Assis, Lais, García Triviño, Pablo, Soares-Ramos, Emanuel P. P., Sarrias Mena, Raúl, García Vázquez, Carlos Andrés, Ugalde-Loo, Carlos Ernesto, and Fernández Ramírez, Luis Miguel

Abstract

Currently, the technology associated with charging stations for electric vehicles (EV) needs to be studied and improved to further encourage its implementation. This paper presents a new energy management system (EMS) based on a Biogeography-Based Optimization (BBO) algorithm for a hybrid EV charging station with a configuration that integrates Z-source converters (ZSC) into medium voltage direct current (MVDC) grids. The EMS uses the evolutionary BBO algorithm to optimize a fitness function defining the equivalent hydrogen consumption/generation. The charging station consists of a photovoltaic (PV) system, a local grid connection, two fast charging units and two energy storage systems (ESS), a battery energy storage (BES) and a complete hydrogen system with fuel cell (FC), electrolyzer (LZ) and hydrogen tank. Through the use of the BBO algorithm, the EMS manages the energy flow among the components to keep the power balance in the system, reducing the equivalent hydrogen consumption and optimizing the equivalent hydrogen generation. The EMS and the configuration of the charging station based on ZSCs are the main contributions of the paper. The behaviour of the EMS is demonstrated with three EV connected to the charging station under different conditions of sun irradiance. In addition, the proposed EMS is compared with a simpler EMS for the optimal management of ESS in hybrid configurations. The simulation results show that the proposed EMS achieves a notable improvement in the equivalent hydrogen consumption/generation with respect to the simpler EMS. Thanks to the proposed configuration, the output voltage of the components can be upgraded to MVDC, while reducing the number of power converters compared with other configurations without ZSC.

Published
2021

29. Averaged Dynamic Modeling and Control of a Quasi-Z-Source Inverter for Wind Power Applications

Author

Soares-Ramos, Emanuel P. P., De Oliveira-Assis, Lais, Sarrias Mena, Raúl, García Triviño, Pablo, García Vázquez, Carlos Andrés, Fernández Ramírez, Luis Miguel, Ingeniería Eléctrica, and Ingeniería en Automática, Electrónica, Arquitectura y Redes de Computadores

Subjects
wind turbine, modeling, Control system, quasi-Z-source inverter
Abstract

Typically, permanent magnet synchronous generator (PMSG)-driven wind turbines (WTs) present a two-stage power converter topology based on a DC/DC boost converter and voltage source inverter. In this study, this configuration is substituted by a quasi-Z-source inverter (qZSI), which is an attractive solution for boosting and converting the voltage from DC to AC in a single stage. A 2 MW PMSG WT with qZSI was studied herein. A switched dynamic model (SDM) of the qZSI (including the modeling of all switches and firing pulses) is not recommended for steady-state stability studies, long-term simulations, or large electric power systems. For such studies, two averaged dynamic models are proposed in this work. Both models present the same control system as the SDM, except for the generation of firing pulses, which is not necessary in the averaged models. The two proposed models were evaluated and compared with the SDM in the large-scale WT under different operating conditions, such as wind speed fluctuations, variable power references, and grid disturbances (voltage sag and 3(rd) and 5(th) order harmonics injection), in order to demonstrate their adequacy to represent the system response with a high reduction in the simulation time and computational efforts., This work was supported in part by the Spain's Ministerio de Ciencia, Innovacion y Universidades (MCIU), Agencia Estatal de Investigacion (AEI), and Fondo Europeo de Desarrollo Regional (FEDER) Union Europea (UE) under Grant RTI2018-095720-B-C32, in part by the National Council of Technological and Scientific Development (CNPq), Brazil, in part by the Federal Center for Technological Education of Minas Gerais, Brazil, under Process 23062-010087/2017-51, and in part by the Regional Ministry of Economic Transformation, Industry, Knowledge and Universities of Junta de Andalucia under Grant PY20_00317.

Published
2021

34. Predictive energy management for a wind turbine with hybrid energy storage system.

Author

González‐Rivera, Enrique, Sarrias‐Mena, Raúl, García‐Triviño, Pablo, and Fernández‐Ramírez, Luis M.

Subjects
ENERGY storage, WIND power, ENERGY management, HYBRID systems, POWER resources, WIND turbines
Abstract

Summary: Hybrid energy storage systems (HESSs) help mitigating the fluctuations and variable availability of certain renewable sources, such as wind power, as they can provide support in different time scales. Therefore, regulating their state‐of‐charge (SOC) becomes crucial to ensure that the hybrid system complies with generation commitments agreed in time‐ahead markets despite subsequent unexpected wind speed variations. So far, research has been mainly targeted at avoiding extreme SOC situations in the storage devices, whereas the regulation of this parameter to specific values has often been disregarded. A novel approach is proposed in this work, where model predictive control (MPC) is used to regulate the SOC of a HESS under variable wind and grid demand scenarios. The MPC‐based supervisory controller developed for the hybrid system has been implemented and simulated under different situations. This controller monitors the future variation of the SOC with the aim of having the HESS available to develop its assigned functions successfully. The results show that a proper regulation of the SOC in the HESS increases the capacity to manage the active power supplied to the grid by the hybrid system based on wind power, as well as the level of compliance with generation commitments established time ahead. [ABSTRACT FROM AUTHOR]

Published
2020
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36. Regreso al futuro

Author

García Triviño, Pablo and García Triviño, Pablo

Published
2010

37. Viabilidad económica de instalaciones fotovoltaicas de pequeña potencia para viviendas mediante la modalidad de balance neto.

Author

García-Triviño, Pablo, Llorens-Iborra, Francisco, García-Pichardo, Eloy, García-Vázquez, Carlos Andrés, and Fernández-Ramírez, Luis Miguel

Subjects
SMALL power plants, ECONOMIC change, PHOTOVOLTAIC power systems, ELECTRICITY, ELECTRIC power consumption
Abstract

Copyright of DYNA - Ingeniería e Industria is the property of Publicaciones Dyna SL and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Published
2014
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38. Gestión de energía para tranvía híbrido basado en pila de combustible, batería y supercondensador.

Author

Pérez-Torreglosa, Juan, Jurado-Melguizo, Francisco, García-Triviño, Pablo, and Fernández-Ramírez, Luis Miguel

Subjects
ENERGY management, ELECTRIC batteries, SUPERCAPACITORS, PROPULSION systems, PROTON exchange membrane fuel cells, LITHIUM-ion batteries, DC-to-DC converters, ENERGY storage
Abstract

Copyright of DYNA - Ingeniería e Industria is the property of Publicaciones Dyna SL and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Published
2012
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39. Algoritmo Biogeography-Based-Optimization para el control de potencia de un convertidor en fuente de tensión

Author

Olmedo Ávila, Antonio, Sarrias Mena, Raúl, García Triviño, Pablo, and Ingeniería en Automática, Electrónica, Arquitectura y Redes de Computadores

Subjects
Convertidor en fuente de tensión, BBO, Control inteligente, Algoritmos metaheurísticos, Biogeografía, Control adaptativo, Biogeography-Based-Optimization, VSC, Control PI
Abstract

Durante el desarrollo de este proyecto se estudiará el uso de algoritmos metaheurísticos para controlar el mecanismo de adaptación de un controlador PI. Con ello se pretende dar a conocer la importancia y utilidad de la aplicación de este tipo de algoritmos para el control inteligente de sistemas. En la actualidad los algoritmos bioinspirados son uno de los campos emergentes más prometedores de los últimos tiempos. Los procesos estocásticos son un problema que afectan al rendimiento de los sistemas eléctricos y son difíciles de controlar, pues suelen ser magnitudes aleatorias que presentan una evolución en el tiempo con una distribución estadística. Estos suelen surgir como errores de medida, envejecimiento de la planta, desviaciones del punto de operación, etc. La Optimización Basada en Biogeografía permite la optimización de los sistemas estocásticos de una manera sencilla. Esta trata de estudiar los factores de la distribución geográfica de especies en función de las características de los diferentes hábitats, definidos como un área aislada donde reside una determinada especie. Una de las ventajas del uso de este tipo de algoritmo es la robustez que aporta al sistema, haciéndolo capaz de resistir perturbaciones y variaciones en la planta que se pueden dar debido al envejecimiento de esta o a la variación del SetPoint. Básicamente partiremos de un punto acotado dentro de unos márgenes y el algoritmo irá variando los parámetros del controlador según las distintas soluciones que vaya obteniendo de la exploración, conservando siempre la mejor solución encontrada durante el proceso iterativo.

Published
2019

40. Biogeography-Based-Optimization for power control in VSC

Author

Olmedo Ávila, Antonio, Sarrias Mena, Raúl, García Triviño, Pablo, and Ingeniería en Automática, Electrónica, Arquitectura y Redes de Computadores

Subjects
Convertidor en fuente de tensión, BBO, Control inteligente, Algoritmos metaheurísticos, Biogeografía, Control adaptativo, Biogeography-Based-Optimization, VSC, Control PI
Abstract

Durante el desarrollo de este proyecto se estudiará el uso de algoritmos metaheurísticos para controlar el mecanismo de adaptación de un controlador PI. Con ello se pretende dar a conocer la importancia y utilidad de la aplicación de este tipo de algoritmos para el control inteligente de sistemas. En la actualidad los algoritmos bioinspirados son uno de los campos emergentes más prometedores de los últimos tiempos. Los procesos estocásticos son un problema que afectan al rendimiento de los sistemas eléctricos y son difíciles de controlar, pues suelen ser magnitudes aleatorias que presentan una evolución en el tiempo con una distribución estadística. Estos suelen surgir como errores de medida, envejecimiento de la planta, desviaciones del punto de operación, etc. La Optimización Basada en Biogeografía permite la optimización de los sistemas estocásticos de una manera sencilla. Esta trata de estudiar los factores de la distribución geográfica de especies en función de las características de los diferentes hábitats, definidos como un área aislada donde reside una determinada especie. Una de las ventajas del uso de este tipo de algoritmo es la robustez que aporta al sistema, haciéndolo capaz de resistir perturbaciones y variaciones en la planta que se pueden dar debido al envejecimiento de esta o a la variación del SetPoint. Básicamente partiremos de un punto acotado dentro de unos márgenes y el algoritmo irá variando los parámetros del controlador según las distintas soluciones que vaya obteniendo de la exploración, conservando siempre la mejor solución encontrada durante el proceso iterativo.

Published
2019

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