Electric Power ›› 2023, Vol. 56 ›› Issue (1): 106-111.DOI: 10.11930/j.issn.1004-9649.202106025

• Power System • Previous Articles     Next Articles

Reactive Power Compensation Capacity Optimization Method Based on BSSSO Algorithm

QI Shenglong1, LI Lei2, HE Yupeng3, ZHU Lin3, WANG Fang1, ZOU Hongbo4   

  1. 1. Electric Power Research Institute, State Grid Ningxia Electric Power Co., Ltd., Yinchuan 750001, China;
    2. Guyuan Power Supply Company, State Grid Ningxia Electric Power Co., Ltd., Guyuan 756000, China;
    3. State Grid Ningxia Electric Power Co., Ltd., Yinchuan 750002, China;
    4. College of Electrical Engineering and New Energy, China Three Gorges University, Yichang 443002, China
  • Received:2021-06-21 Revised:2022-11-05 Accepted:2021-09-19 Online:2023-01-23 Published:2023-01-28
  • Supported by:
    This work is supported by Science and Technology Project of State Grid Ningxia Electric Power Co., Ltd. (No.5229DK200003), National Natural Science Foundation of China (No.61876097).

Abstract: The objective of reactive compensation capacity is to minimize the active power loss and take into account the voltage balance. Firstly, according to the actual optimization of reactive power compensation capacity, a multi-objective reactive power compensation capacity optimization model considering active power loss, voltage deviation and voltage stability was established. Then, a BSSSO algorithm based on bird swarm algorithm (BSA) and shuffled shepherd optimization algorithm (SSOA) is proposed to optimize reactive power compensation capacity. Finally, the proposed method is verified by a simulation example, and the results show that the proposed method has superior performance and can take into account the balance of all indexes.

Key words: reactive power compensation, active power loss, multi-objective optimization