1. Considering Source-Charge-Storage Multiple Time Scale Cooperative Control Strategy
- Author
-
Cao Jing, Yang Yufeng, Zheng Tao, and Hui Gao
- Subjects
0209 industrial biotechnology ,Mathematical optimization ,Article Subject ,Computer science ,business.industry ,020209 energy ,General Mathematics ,Scale (chemistry) ,Control (management) ,General Engineering ,Mode (statistics) ,02 engineering and technology ,Engineering (General). Civil engineering (General) ,Energy storage ,Supply and demand ,Power (physics) ,020901 industrial engineering & automation ,Distributed generation ,QA1-939 ,0202 electrical engineering, electronic engineering, information engineering ,TA1-2040 ,business ,Electrical efficiency ,Mathematics - Abstract
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.”
- Published
- 2021