期刊
ELECTRONICS
卷 11, 期 17, 页码 -出版社
MDPI
DOI: 10.3390/electronics11172742
关键词
multi-microgrid; power dispatching; cuckoo search; battery charged state; optimization
资金
- Items of Institution of Higher Education Scientific Research of Hebei Province [ZD2022162]
- Hebei Provincial Key Research and Development Program [21312102D]
- Suzhou Social Developing Innovation Project of Science and Technology [SS202134]
- Top Youth Talent support Program of Hebei Province [[2018]-27]
This paper proposes a model for optimizing power dispatching in multi-microgrids, using an improved cuckoo search algorithm which outperforms other algorithms, and the model's effectiveness is confirmed in a case study.
The multi-microgrid is gradually springing up with widespread use of the distributed generation. It is of great meaning to have research on the energy mutual optimization of the multi-microgrid to improve the new energy-consumption capacity. In this paper, a comprehensive economic model of the multi-microgrid is proposed for optimizing the power dispatching, and the source-network-load-storage is taken into account. Different from other studies, the special novelty of this paper is the improved cuckoo search (CS) algorithm which is adopted to optimize the power dispatching of the multi-microgrid. Comparing with the particle swarm optimization (PSO) algorithm, the improved CS algorithm has better performance in solving the proposed model. The optimal power supply strategy is determined by predicting the optimal state of charge of the battery in the model of the multi-microgrid. The model effectiveness of the multi-microgrid is confirmed in the case study of Wangjiazhai area. With this method, the optimal power dispatching is determined.
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