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Enhanced Virtual Synchronous Generator with Angular Frequency Deviation Feedforward and Energy Recovery Control for Energy Storage System

Author

Listed:
  • Alisher Askarov

    (School of Energy & Power Engineering, National Research Tomsk Polytechnic University, Tomsk 634050, Russia)

  • Vladimir Rudnik

    (School of Energy & Power Engineering, National Research Tomsk Polytechnic University, Tomsk 634050, Russia)

  • Nikolay Ruban

    (School of Energy & Power Engineering, National Research Tomsk Polytechnic University, Tomsk 634050, Russia)

  • Pavel Radko

    (School of Energy & Power Engineering, National Research Tomsk Polytechnic University, Tomsk 634050, Russia)

  • Pavel Ilyushin

    (Department of Research on the Relationship between Energy and the Economy, Energy Research Institute of the Russian Academy of Sciences, Moscow 117186, Russia)

  • Aleksey Suvorov

    (School of Energy & Power Engineering, National Research Tomsk Polytechnic University, Tomsk 634050, Russia)

Abstract

Frequency control is one of the most important tasks in electric power systems. At the same time, in modern power systems with inertia-free converter-interfaced generation, this task has become more complex. Such an issue is especially relevant for microgrids, which are characterized by a significant increase in the rate of change of frequency and its nadir or zenith. An effective way is through the use of energy storage systems (ESSs) with a grid-forming control in microgrids. For this purpose, this paper proposes a novel structure of the control algorithm based on a current-control virtual synchronous generator (CC-VSG), in which the damping is performed using a feedforward controller. In addition, a simple proportional–integral controller is added to the CC-VSG structure to control the state of charge of the ESS. The performed frequency analysis proves the independence of the different control loop operations within the developed CC-VSG. At the same time, a methodology based on the bandwidth separation of different control loops is proposed for the CC-VSG tuning, which allows for the achievement of the desired quality of frequency regulation in the microgrid, taking into account both the energy recovery and the permissible frequency variation. Finally, the time-domain simulation using PSCAD/EMTDC is performed to confirm the obtained results.

Suggested Citation

  • Alisher Askarov & Vladimir Rudnik & Nikolay Ruban & Pavel Radko & Pavel Ilyushin & Aleksey Suvorov, 2024. "Enhanced Virtual Synchronous Generator with Angular Frequency Deviation Feedforward and Energy Recovery Control for Energy Storage System," Mathematics, MDPI, vol. 12(17), pages 1-26, August.
    • Handle: RePEc:gam:jmathe:v:12:y:2024:i:17:p:2691-:d:1466879
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    References listed on IDEAS

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    1. Ali Hadi Abdulwahid & Muna Al-Razgan & Hassan Falah Fakhruldeen & Meryelem Tania Churampi Arellano & Vedran Mrzljak & Saber Arabi Nowdeh & Mohammad Jafar Hadidian Moghaddam, 2023. "Stochastic Multi-Objective Scheduling of a Hybrid System in a Distribution Network Using a Mathematical Optimization Algorithm Considering Generation and Demand Uncertainties," Mathematics, MDPI, vol. 11(18), pages 1-30, September.
    2. Mokhtar Aly & Emad A. Mohamed & Abdullah M. Noman & Emad M. Ahmed & Fayez F. M. El-Sousy & Masayuki Watanabe, 2023. "Optimized Non-Integer Load Frequency Control Scheme for Interconnected Microgrids in Remote Areas with High Renewable Energy and Electric Vehicle Penetrations," Mathematics, MDPI, vol. 11(9), pages 1-31, April.
    3. Aleksey Suvorov & Alisher Askarov & Nikolay Ruban & Vladimir Rudnik & Pavel Radko & Andrey Achitaev & Konstantin Suslov, 2023. "An Adaptive Inertia and Damping Control Strategy Based on Enhanced Virtual Synchronous Generator Model," Mathematics, MDPI, vol. 11(18), pages 1-29, September.
    4. Xiaoyu Deng & Ruo Mo & Pengliang Wang & Junru Chen & Dongliang Nan & Muyang Liu, 2023. "Review of RoCoF Estimation Techniques for Low-Inertia Power Systems," Energies, MDPI, vol. 16(9), pages 1-19, April.
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