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A cooperative control for the reserve management of isolated microgrids

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  • Cagnano, A.
  • Caldarulo Bugliari, A.
  • De Tuglie, E.

Abstract

The purpose of this paper is to examine how a coordinated control strategy for managing the active power reserve in isolated microgrids is presented. This methodology can be applied in those microgrids where a specified generator assumes the role of the isochronous generator for the overall system. The derived algorithm evaluates control actions in the on-line environment by solving a constrained dynamic optimization problem aimed at maximizing the overall spinning reserve and, in particular, the reserve offered by the master unit equipped with the isochronous governor controller. The solution of this problem is obtained by adopting the direct Lyapunov theorem applied to the Sensitivity theory, ensuring the algorithm’s stability.

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  • Cagnano, A. & Caldarulo Bugliari, A. & De Tuglie, E., 2018. "A cooperative control for the reserve management of isolated microgrids," Applied Energy, Elsevier, vol. 218(C), pages 256-265.
    • Handle: RePEc:eee:appene:v:218:y:2018:i:c:p:256-265
    DOI: 10.1016/j.apenergy.2018.02.142
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    6. Giaouris, Damian & Papadopoulos, Athanasios I. & Patsios, Charalampos & Walker, Sara & Ziogou, Chrysovalantou & Taylor, Phil & Voutetakis, Spyros & Papadopoulou, Simira & Seferlis, Panos, 2018. "A systems approach for management of microgrids considering multiple energy carriers, stochastic loads, forecasting and demand side response," Applied Energy, Elsevier, vol. 226(C), pages 546-559.
    7. Byeong-Cheol Jeong & Dong-Hwan Shin & Jae-Beom Im & Jae-Young Park & Young-Jin Kim, 2019. "Implementation of Optimal Two-Stage Scheduling of Energy Storage System Based on Big-Data-Driven Forecasting—An Actual Case Study in a Campus Microgrid," Energies, MDPI, vol. 12(6), pages 1-20, March.
    8. Haolan Liang & Zhangjie Liu & Hua Liu, 2019. "Stabilization Method Considering Disturbance Mitigation for DC Microgrids with Constant Power Loads," Energies, MDPI, vol. 12(5), pages 1-19, March.
    9. Jingfeng Chen & Ping Yang & Jiajun Peng & Yuqi Huang & Yaosheng Chen & Zhiji Zeng, 2018. "An Improved Multi-Timescale Coordinated Control Strategy for Stand-Alone Microgrid with Hybrid Energy Storage System," Energies, MDPI, vol. 11(8), pages 1-23, August.
    10. Cagnano, A. & De Tuglie, E. & Mancarella, P., 2020. "Microgrids: Overview and guidelines for practical implementations and operation," Applied Energy, Elsevier, vol. 258(C).
    11. Basu, M., 2023. "Dynamic optimal power flow for isolated microgrid incorporating renewable energy sources," Energy, Elsevier, vol. 264(C).
    12. Nelson, James & Johnson, Nathan G. & Fahy, Kelsey & Hansen, Timothy A., 2020. "Statistical development of microgrid resilience during islanding operations," Applied Energy, Elsevier, vol. 279(C).
    13. Ying Ji & Jianhui Wang & Jiacan Xu & Xiaoke Fang & Huaguang Zhang, 2019. "Real-Time Energy Management of a Microgrid Using Deep Reinforcement Learning," Energies, MDPI, vol. 12(12), pages 1-21, June.
    14. Malik, Sarmad Majeed & Sun, Yingyun & Huang, Wen & Ai, Xin & Shuai, Zhikang, 2018. "A Generalized Droop Strategy for Interlinking Converter in a Standalone Hybrid Microgrid," Applied Energy, Elsevier, vol. 226(C), pages 1056-1063.
    15. Zeyan Lv & Yanghong Xia & Junwei Chai & Miao Yu & Wei Wei, 2018. "Distributed Coordination Control Based on State-of-Charge for Bidirectional Power Converters in a Hybrid AC/DC Microgrid," Energies, MDPI, vol. 11(4), pages 1-15, April.

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