• 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 ›› 2020, Vol. 41 ›› Issue (5): 81-92.doi: 10.12204/j.issn.1000-7229.2020.05.010

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Bi-Level Multi-Objective Control Strategy of Active Distribution System Under the Cognition of Cell-Tissue Theory

ZHAO Haibing1,ZHANG Huanyun1,GE Yang1,CHENG Haoyuan2,GAO Wenhao1,AI Qian2   

  1. 1. Dezhou Power Supply Company, State Grid Shandong Electric Power Company, Dezhou 253000, Shandong Province, China; 2. School of Electronic Information and  Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
  • Online:2020-05-01 Published:2020-05-15
  • Supported by:
    This work is supported by Research Program of State Grid Shandong Electric Power Company(No.520608180062).

Abstract: In recent years, large-scale renewable energy has been widely integrated into the power system, and the dominant form of distribution system has also gradually changed from traditional distribution network to microgrid cluster. To optimize the integration of renewable resource with uncertainty into the power system, considering the intelligent management of microgrid cluster to improve the distribution network performance, this paper proposes a new bi-level multi-objective dynamic energy management strategy based on the cell-tissue theory. The relationship between active distribution network and microgrid cluster are classified, and described by the energy game matrix and bi-level multi-objective control strategy. Finally, this paper adopts the hierarchical genetic algorithm-NSGA-Ⅱ to solve the energy management problem, and verifies the advantages of the proposed control strategy in power consumption, energy efficiency and simulation operation time through the analysis on the IEEE 33-node network based on microgrid cluster.

Key words: cell-tissue, micro-grid, active distribution system, multi-objective, energy management, NSGA-Ⅱ

CLC Number: