IDEAS home Printed from https://ideas.repec.org/a/gam/jmathe/v12y2024i17p2691-d1466879.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7390/12/17/2691/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2227-7390/12/17/2691/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    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. 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.
    3. 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.
    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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Matheus Schramm Dall’Asta & Telles Brunelli Lazzarin, 2024. "A Review of Fast Power-Reserve Control Techniques in Grid-Connected Wind Energy Conversion Systems," Energies, MDPI, vol. 17(2), pages 1-29, January.
    2. Nihuan Liao & Zhihong Hu & Vedran Mrzljak & Saber Arabi Nowdeh, 2024. "Stochastic Techno-Economic Optimization of Hybrid Energy System with Photovoltaic, Wind, and Hydrokinetic Resources Integrated with Electric and Thermal Storage Using Improved Fire Hawk Optimization," Sustainability, MDPI, vol. 16(16), pages 1-30, August.
    3. Hassan M. Hussein Farh, 2024. "Neural Network Algorithm with Reinforcement Learning for Microgrid Techno-Economic Optimization," Mathematics, MDPI, vol. 12(2), pages 1-24, January.
    4. Genzhu Wu & Weilin Zhong & Muyang Liu & Xiqiang Chang & Xianlong Shao & Ruo Mo, 2024. "Online Evaluation for the POI-Level Inertial Support to the Grid via Ambient Measurements," Energies, MDPI, vol. 17(20), pages 1-17, October.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jmathe:v:12:y:2024:i:17:p:2691-:d:1466879. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.