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An adaptive frequency regulation strategy with high renewable energy participating level for isolated microgrid

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Listed:
  • Zhang, Jing
  • Hu, Sijia
  • Zhang, Zhiwen
  • Li, Yong
  • Lin, Jinjie
  • Wu, Jinbo
  • Gong, Yusheng
  • He, Li

Abstract

To improve the renewable energy sources (RES) utilization of isolated microgrids (IMG) in frequency regulation process, an adaptive frequency regulation strategy with high renewable energy participating level is proposed in this paper: 1) an adaptive droop control method is conceived for primary frequency regulation, in which the designed droop coefficients are adjustable with the real-time wind velocity and state of charge (SoC) of energy storage units (ESUs); as the most important contribution, 2) a general flexible model predictive control (FMPC) framework with adaptive cost function and constraints is developed for secondary frequency regulation. For 2), i) the weight coefficients of the cost function can be adaptively adjusted according to frequency deviation through a pre-designed intelligent function, in which the specification of determining the key parameters is involved; ii) the designed constraints' boundaries can dynamically shift with wind velocity and ESU's SoC; iii) the negative impact of model's uncertainties can also be mitigated by implementing the proposed FMPC. Finally, the effectiveness of the proposal is verified by the comprehensive simulation and experimental study, and the results show that the proposal can significantly improve RES's utilization level while guaranteeing frequency regulation performance and operation safety in IMG.

Suggested Citation

  • Zhang, Jing & Hu, Sijia & Zhang, Zhiwen & Li, Yong & Lin, Jinjie & Wu, Jinbo & Gong, Yusheng & He, Li, 2023. "An adaptive frequency regulation strategy with high renewable energy participating level for isolated microgrid," Renewable Energy, Elsevier, vol. 212(C), pages 683-698.
  • Handle: RePEc:eee:renene:v:212:y:2023:i:c:p:683-698
    DOI: 10.1016/j.renene.2023.05.071
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    References listed on IDEAS

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    1. Yan, Xingyu & Abbes, Dhaker & Francois, Bruno, 2017. "Uncertainty analysis for day ahead power reserve quantification in an urban microgrid including PV generators," Renewable Energy, Elsevier, vol. 106(C), pages 288-297.
    2. Hirsch, Adam & Parag, Yael & Guerrero, Josep, 2018. "Microgrids: A review of technologies, key drivers, and outstanding issues," Renewable and Sustainable Energy Reviews, Elsevier, vol. 90(C), pages 402-411.
    3. Li, Huanhuan & Zhang, Runfan & Mahmud, Md. Apel & Hredzak, Branislav, 2022. "A novel coordinated optimization strategy for high utilization of renewable energy sources and reduction of coal costs and emissions in hybrid hydro-thermal-wind power systems," Applied Energy, Elsevier, vol. 320(C).
    4. Vaziri, Shabnam Mahmoudzadeh & Rezaee, Babak & Monirian, Masoud Amel, 2020. "Utilizing renewable energy sources efficiently in hospitals using demand dispatch," Renewable Energy, Elsevier, vol. 151(C), pages 551-562.
    5. El-Bidairi, Kutaiba S. & Nguyen, Hung Duc & Mahmoud, Thair S. & Jayasinghe, S.D.G. & Guerrero, Josep M., 2020. "Optimal sizing of Battery Energy Storage Systems for dynamic frequency control in an islanded microgrid: A case study of Flinders Island, Australia," Energy, Elsevier, vol. 195(C).
    6. Zhu, Xianwen & Xia, Mingchao & Chiang, Hsiao-Dong, 2018. "Coordinated sectional droop charging control for EV aggregator enhancing frequency stability of microgrid with high penetration of renewable energy sources," Applied Energy, Elsevier, vol. 210(C), pages 936-943.
    7. MansourLakouraj, Mohammad & Shahabi, Majid & Shafie-khah, Miadreza & Catalão, João P.S., 2022. "Optimal market-based operation of microgrid with the integration of wind turbines, energy storage system and demand response resources," Energy, Elsevier, vol. 239(PB).
    8. Hirase, Yuko & Abe, Kensho & Sugimoto, Kazushige & Sakimoto, Kenichi & Bevrani, Hassan & Ise, Toshifumi, 2018. "A novel control approach for virtual synchronous generators to suppress frequency and voltage fluctuations in microgrids," Applied Energy, Elsevier, vol. 210(C), pages 699-710.
    9. Razmjoo, A. & Gakenia Kaigutha, L. & Vaziri Rad, M.A. & Marzband, M. & Davarpanah, A. & Denai, M., 2021. "A Technical analysis investigating energy sustainability utilizing reliable renewable energy sources to reduce CO2 emissions in a high potential area," Renewable Energy, Elsevier, vol. 164(C), pages 46-57.
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