• 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 ›› 2022, Vol. 43 ›› Issue (6): 84-92.doi: 10.12204/j.issn.1000-7229.2022.06.009

• Power System Planning • Previous Articles     Next Articles

Distribution Network Planning Method Considering Flexibility Resource Attribute of Microgrids

XU Jiayin1(), WANG Tao1(), WANG Jiaqing2(), LIU Chen3(), MA Yinghao3()   

  1. 1. Economic and Technology Research Institute of State Grid Anhui Electric Power Co., Ltd., Hefei 230022, China
    2. State Grid Anhui Electric Power Co., Ltd., Hefei 230022, China
    3. Department of Electrical and Automation Engineering, Hefei University of Technology,Hefei 230009, China
  • Received:2021-11-11 Online:2022-06-01 Published:2022-05-31
  • Contact: MA Yinghao E-mail:xujiayinah1989@163.com;hfut_wt@163.com;wangjqah@163.com;liuchen0318@163.com;yinghao_ma@126.com
  • Supported by:
    State Grid Anhui Electric Power Co., Ltd. Research Program(521209200013)

Abstract:

Aiming at the distribution network with microgrid, a distribution network planning method considering the flexibility resource attribute of microgrids is proposed. The flexibility resource attribute of microgrids is considered from substation planning and grid planning. Firstly, the mathematical models of flexible resources in microgrids are established and then the external equivalent model of microgrids is formed. Then, the flexibility resources are considered by updating the constant volume formula and adding constraints in network planning. Finally, a distribution network programming model with minimum investment and operating cost as the objective function is established and it is solved by improved genetic algorithm. Case study is designed according to the area to be planned with three microgrids. The results show that the planning method proposed in the paper can improve the system transmission flexibility with a small increase in cost, so when the distributed power supply fluctuates or the load forecast is inaccurate during the operation of the distribution network in the future, the line will have enough flexibility for the main network or the microgrid to transmit power, which proves the rationality and effectiveness of the proposed model.

Key words: microgrid, flexibility resource, substation planning, network planning, improved genetic algorithm, distribution network flexibility

CLC Number: