Cooperative Game-Based Collaborative Optimal Regulation-Assisted Digital Twins for Wide-Area Distributed Energy

Pengcheng Ni, Zhiyuan Ye, Can Cao, Zhimin Guo, Jian Zhao and Xing He ()
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Pengcheng Ni: Anhui Jiyuan Software Co., Ltd., Hefei 230000, China
Zhiyuan Ye: Anhui Jiyuan Software Co., Ltd., Hefei 230000, China
Can Cao: Anhui Jiyuan Software Co., Ltd., Hefei 230000, China
Zhimin Guo: State Grid Henan Electric Power Research Institute, Zhengzhou 450000, China
Jian Zhao: State Grid Henan Electric Power Research Institute, Zhengzhou 450000, China
Xing He: School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China

Energies, 2023, vol. 16, issue 6, 1-17

Abstract: With the wide use of renewable energy sources and the requirement for energy storage technology, the field of power systems is facing the need for further technological innovation. This paper proposes a wide-area distributed energy model based on digital twins. This model was constructed to more fully optimize the coordination of wide-area distributed energy in order to rationally deploy and utilize new energy units. Moreover, the minimization of the power deviation between the dispatch command and the actual power regulation output was also taken into account. In contrast to previous dispatch research, the cooperative game co-optimization algorithm was applied to this model, enabling a distributed approach that can quickly obtain a high-quality power command scheduling scheme. Finally, the simulation and comparison experiments using this algorithm with the wide-area distributed energy (WDE) model showed that it had the advantages of significantly reducing the tracking error, average error, and total error and effectively improving the tracking accuracy. The proposed method can help reduce total power deviations by about 61.1%, 55.7%, 53.1%, and 74.8%.

Keywords: wide-area distributed energy; cooperative game; collaborative optimal control; digital twins (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
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