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Start Over Topic power, energy and industry applications Language english
3 results

1. Adequacy of operating reserves for power systems in future european wind power scenarios

Author

Marisciel Litong-Palima, Petr Maule, Poul Ejnar Sørensen, and Kaushik Das

Subjects
Engineering, Power, Energy and Industry Applications, Meteorology, Forecast error, 020209 energy, 02 engineering and technology, 7. Clean energy, Wind speed, Electric power system, ComputerApplications_MISCELLANEOUS, 0202 electrical engineering, electronic engineering, information engineering, Real-time systems, Engineering Profession, Wind forecasting, wind generation, Wind power generation, Wind power, business.industry, Engineering profession, variability, 020208 electrical & electronic engineering, forecast error, Power system stability, operating reserves, Europe, 13. Climate action, ENTSO-E, Frequency instability, business
Abstract

Wind power generation is expected to increase in Europe by large extent in future. This will increase variability and uncertainty in power systems. Imbalances caused due to uncertainty in wind power forecast can trigger frequency instability in the system. These imbalances are handled using operating reserves. To study the effects of these imbalances, anticipated wind scenarios for European power systems are modelled for 2020 and 2030. Wind power forecasts for different time scales and real-time available wind power are modelled. Based on these studies, this paper qualitatively analyzes the adequacy of primary and secondary reserves requirements for future European power systems. This paper also discusses the challenges due to the uncertainty in wind power forecasts and their possible solutions for wind installation scenarios for 2020 and 2030.

Published
2015

2. Real-time remedial action against aperiodic small signal rotor angle instability

Author

Jacob Østergaard, Hjortur Johannsson, and Tilman Weckesser

Subjects
IEEE standards, Engineering, Power, Energy and Industry Applications, Electric generator, Boundary (topology), 02 engineering and technology, Remedial actions, Signal, law.invention, load dispatching, IEEE 14-bus test system, law, power system stability, 0202 electrical engineering, electronic engineering, information engineering, Rotors (windings), aperiodic small signal rotor angle instability, Control methods, Impedance, Components, Circuits, Devices and Systems, Steady-state, rotors, real-time remedial action, power system security, Aperiodic graph, stability boundary monitoring, Restoration, Stability boundaries, Stability, power system generation redispatch, Steady state (electronics), 020209 energy, Real-time operation, Energy Engineering and Power Technology, maximum steady state active power injection, Instability, Stability (probability), Rotor angle stability, active power redispatch, Control theory, Electrical and Electronic Engineering, Real-time systems, Stable operation, Impedance plane, business.industry, Stability analysis, AC power, Power system control, Electric generators, Generators, Characteristic curve, secure operation, Security, Nordic32 test system, business, remedial action schemes
Abstract

This paper presents a method that in real-time determines remedial actions, which restore stable operation with respect to aperiodic small signal rotor angle stability (ASSRAS) when insecure or unstable operation has been detected. An ASSRAS assessment method is used to monitor the stability boundary for each generator in real-time. The ASSRAS boundary represents the condition when a generator reaches the maximum steady state active power injection. The proposed control method exploits analytically derived expressions for the ASSRAS boundary and other characteristic curves in the injection impedance plane to determine an active power redispatch among selected generators to restore stable and secure operation. Since the method is purely based on analytically derived expression, the computation of the remedial actions is fast and well suited for real-time operation. The method was tested on the IEEE 14-bus and the Nordic32 test systems where results show that the method can efficiently determine the required active power redispatch to avoid an imminent instability.

Published
2016

3. Improving offering strategies for wind farms enhanced with storage capability

Author

Yonghua Song, Pierre Pinson, Huajie Ding, and Zechun Hu

Subjects
Mathematical optimization, Artificial intelligence, wind power deviation, Power, Energy and Industry Applications, Computer science, energy storage system, wind farm, wind power plants, Profit (economics), Energy storage, storage capability, two-price balancing market rules, wind power forecast error, real-time operation, electricity markets, ESS, day-ahead bidding strategy, Simulation, Wind power, Balancing market, business.industry, energy storage, wind farms, Bidding, Bidding strategy, power markets, Electricity, Arbitrage, day-ahead contracts, business, Gradient descent, operation strategy, gradient methods, gradient descent algorithm
Abstract

Due to the flexible charging and discharging capability, energy storage system (ESS) is thought of as a promising complement to wind farms (WF) in participating into electricity markets. This paper proposes a reserve-based real-time operation strategy of ESS to make arbitrage and to alleviate the wind power deviation from day-ahead contracts. Taking into account the operation strategy as well as two-price balancing market rules, a day-ahead bidding strategy of WF-ESS system is put forward and formulated. A modified gradient descent algorithm is described to solve the formulations. In the case studies, the computational efficiency of the algorithm is validated firstly. Moreover, a number of scenarios with/without considering the temporal dependence of wind power forecast error are designed and employed to compare the proposed strategy with other common ones in terms of profit.

Published
2015