Electric Power ›› 2022, Vol. 55 ›› Issue (4): 63-69.DOI: 10.11930/j.issn.1004-9649.202101025

• Operation Control and Evolution of Distribution Networks Based on Power Electronic Devices • Previous Articles     Next Articles

Generation-Storage Cooperative Optimization Control Method for Distribution Network Based on HSA-PSO Algorithm

DANG Bin1, ZOU Qiqun1, ZHANG Bin1, FU Dong1, YOU Mengkai2, LE Jian2   

  1. 1. State Grid Anyang Power Supply Company, Anyang 455000, China;
    2. School of Electrical Engineering and Automation, Wuhan University, Wuhan 430072, China
  • Received:2021-01-06 Revised:2022-03-07 Online:2022-04-28 Published:2022-04-24
  • Supported by:
    This work is supported by the National Key Research and Development Program of China (Key Technologies for Distribution Network Business Resource Collaboration and Interoperability, No.2021 YFB2401302).

Abstract: Currently voltage control and network loss caused by the integration of high-penetration of distributed generations are usually tackled out by means of reactive power compensation. However, there are fewer control methods that take into account distributed generations and energy storage systems. Based on the cooperation control of distributed generations and energy storage systems, this paper establishes a multi-objective optimal control model of the distribution network with the goals of minimizing voltage deviation, minimizing network power loss and maximizing the consumption of distributed generation. Combining harmony search algorithm and particle swarm optimization algorithm effectively, a harmony search-particle swarm optimal algorithm(HSA-PSO) is proposed to solve the established model. The simulation example verifies the effectiveness of the optimization control method.

Key words: distributed generation, distributed energy storage, coordinated control, network loss optimization