Research on Optimization of Operation Control Strategy of CCHP Microgrid System
2023 Panda Forum on Power and Energy (PandaFPE)(2023)
摘要
For the sake of reducing the running cost of multi-energy complementary microgrid containing cold, heat, electricity and gas loads, and to solve the problems of high energy consumption, slow response and poor stability of the microgrid system under the traditional control method, this paper proposes the main and sub-population dynamic weight PSO optimization algorithm, and conducts a comparison test between the traditional scheduling method and the scheduling method under the control of the optimization algorithm, and the arithmetic results confirm that this control strategy is the best in terms of economy and optimization efficiency. The arithmetic results show that the control strategy is optimal in terms of economy and optimization efficiency, and provides an economic, safe and efficient control strategy for power users, with good engineering practicality.
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关键词
Distributed energy,micro-grid system of combined cold and hot power supply,primary and secondary population particle swarm,day-ahead economic optimization
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