• 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 ›› 2021, Vol. 42 ›› Issue (9): 129-139.doi: 10.12204/j.issn.1000-7229.2021.09.014

• Smart Grid • Previous Articles     Next Articles

Two-Stage Reactive Power Optimization for Distribution Network Considering Reactive Power Margin

HU Rong, QIU Xiaoyan, ZHANG Zhirong   

  1. Intelligent Electric Power Grid Key Laboratory of Sichuan Province( Sichuan University), Chengdu 610065, China
  • Received:2020-11-27 Online:2021-09-01 Published:2021-09-02
  • Contact: QIU Xiaoyan
  • Supported by:
    Key Research and Development Project of Science & Technology Department of Sichuan Province(21ZDYF3753);Key Research and Development Project of Chengdu(2019-YF05-02107-SN)


To solve the coordinated dispatch and spatiotemporal coupling of various adjustable resources after high-proportion renewable distributed generation (RDG) is connected to the distribution network, a two-stage reactive power optimization for distribution network considering reactive power margin is proposed. The Copula theory is used to establish a prediction model which considers the uncertainty and correlation of wind power and photovoltaic output. In the first stage, a day-ahead multi-objective optimization model is established by considering voltage deviation, operation cost and dynamic reactive power margin. In the second stage, the continuous regulating device is used to respond the fluctuations of photovoltaic and wind power, which realizes the differentiated management of reactive power regulating devices with different fast and slow time constants while fully coordinating the adjustable resources in the distribution network in a short time scale. Finally, the simulation example carried out on the improved IEEE 33-node system shows that the collaborative optimization strategy can improve the safety and economic benefits of the system, and verify the influence of the wind-photovoltaic correlativity on the system.

Key words: optimization of active power, optimization of reactive power, renewable distributed generation (RDG), multi-objective optimization, Copula correlativity, reactive power margin

CLC Number: