期刊
PROCEEDINGS OF 2019 IEEE 3RD INTERNATIONAL ELECTRICAL AND ENERGY CONFERENCE (CIEEC)
卷 -, 期 -, 页码 1217-1222出版社
IEEE
DOI: 10.1109/CIEEC47146.2019.CIEEC-2019449
关键词
integrated community energy system (ICES); prediction error; robust optimization; micro energy grid; Chaotic particle swarm optimization (CPSO)
资金
- SGCC Science and Technology Project [5204BB19000N]
- National Natural Science Foundation of China [51577068]
An integrated community energy system (ICES) optimization operation method considering uncertainty of source and load is proposed in this paper. Firstly, the prediction error features of wind power, photovoltaic and load are analyzed. Then, the various aspects of ICES are modeled and analyzed. Based on this, a robust optimization model of ICES considering source-load prediction error is established. Finally, the chaotic particle swarm optimization (CPSO) algorithm is employed to solve the model, and the experimental optimization results under different prediction errors verify the correctness and effectiveness of the proposed model and method.
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