• CSCD核心库收录期刊
  • 中文核心期刊
  • 中国科技核心期刊

Electric Power Construction ›› 2019, Vol. 40 ›› Issue (12): 86-95.doi: 10.3969/j.issn.1000-7229.2019.12.011

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Optimal Clustering Operation and Analysis of Multi-Microgrid Considering Power Sharing

GENG Qi1, HU Yan1, HE Jianzong2, ZHOU Yongyan3, ZHAO Wei3   

  1. 1. School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China;2. Dongguan Power Supply Bureau of Guangdong Power Grid Co., Ltd., Dongguan 523000, Guangdong Province, China;3. Electric Power Research Institute of Guangdong Power Grid Co., Ltd., Guangzhou 510080, China
  • Online:2019-12-01
  • Supported by:
    This work is supported by the National Key Research and Development Program of China (No. 2017YFB0903202).

Abstract: Microgrids are important parts of smart grids. They can integrate a variety of distributed renewable energy sources to satisfy the local loads. However, the intermittence of renewable energy sources limits the reliable operation of microgrids. Installation of energy storage systems and diesel generators can solve the intermittent problem of renewable energy sources, and the power sharing of microgrids is also an effective measure to ensure the reliable operation of microgrids. This paper firstly presents an offline algorithm that can produce optimal operation solutions of dual-microgrid system, assuming that the information of renewable energy sources and loads is known in advance. On this basis, the influence of power sharing and energy storage system on power purchasing cost of microgrids is studied. Then this paper develops online strategies that do not require any future information and are easier to be implemented in the actual smart grids. The simulation results show that the online strategies can obtain suboptimal solutions close to the optimal solutions of the offline algorithm. Finally, an online clustering strategy for multi-microgrid system is proposed on the basis of the online strategy of dual-microgrid system.

Key words: microgrid(MG), power sharing, optimal operation, clustering

CLC Number: