Considering Source-Charge-Storage Multiple Time Scale Cooperative Control Strategy
Author(s) -
Tao Zheng,
Jing Cao,
Yufeng Yang,
Hui Gao
Publication year - 2021
Publication title -
mathematical problems in engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.262
H-Index - 62
eISSN - 1026-7077
pISSN - 1024-123X
DOI - 10.1155/2021/5526783
Subject(s) - energy storage , power (physics) , control (management) , computer science , function (biology) , mode (computer interface) , scale (ratio) , multi objective optimization , demand response , reliability engineering , mathematical optimization , automotive engineering , engineering , electricity , electrical engineering , physics , mathematics , quantum mechanics , artificial intelligence , evolutionary biology , machine learning , biology , operating system
In order to achieve the optimization of power consumption mode, improve user power efficiency, and realize the coordination of power supply and demand, considering the advantages of distributed energy and energy storage, a source-charge-storage multi-time-scale coordinated control strategy is proposed. According to the needs of the hybrid energy system, we analyze the complementary potential of the hybrid energy system from the output side and analyze the response priority mechanism of the integrated energy system equipment, taking the economic cost and pollutant gas emissions as the objective function, economy, environment, and system. This is a constrained source-load-storage multiobjective joint optimization and adjustment model, which is solved by a multi-time-scale cooperative control strategy. Finally, a calculation example is used to verify the feasibility of the proposed method and provide technical support for the coordinated and optimized operation of “source-load-storage.”
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