• 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 (11): 14-23.doi: 10.12204/j.issn.1000-7229.2022.11.002

• Key Technologies for Interaction between Power Distribution Network and New Load Driven by Carbon Peaking and Carbon Neutrality Goals •Hosted by Professor MU Yunfei and Professor-level Senior Engineer SONG Yi• • Previous Articles     Next Articles

Distribution Network Planning Considering the Flexibility of EV Virtual Power Plants and High Penetration of PV

YAN Huan1(), HU Junjie2(), HUANG Danli3(), ZHANG Zhanyu2(), YUE Yuanyuan1()   

  1. 1. Economic and Technology Research Institute of State Grid Shaanxi Electric Power Co., Ltd., Xi’an 710065, China
    2. State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources (North China Electric Power University), Beijing 102206, China
    3. Xiaogan Power Supply Company of State Grid Hubei Electric Power Co., Ltd., Xiaogan 432000, Hubei Province, China
  • Received:2022-05-23 Online:2022-11-01 Published:2022-11-03
  • Contact: HU Junjie E-mail:76946074@qq.com;junjiehu@ncepu.edu.cn;danlihuang@163.com;1946161842@qq.com;yueyuanyuan0913@163.com
  • Supported by:
    state Grid Corporation of China Research Program(SGSNJY00GPJS2100038);National Natural Science Foundation of China(51877078)


This paper studies the distribution network planning problem which considers high proportion of photovoltaic power and large-scale electric vehicles (EVs). Firstly, the paper quantifies the flexibility of the EV virtual power plant, and then establishes a distribution network planning model that comprehensively considers the flexibility of the EV virtual power plant and the high proportion of photovoltaic access. The model aims to minimize the annual investment cost of distribution network lines, while taking into account renewable energy consumption, investment costs of energy storage system and flexibility compensation costs of EV virtual power plant, in order to improve the economy of distribution network planning and realize peak shaving and valley filling of power system and improve the photovoltaic output consumption rate. Finally, the IEEE 24-node distribution network system is taken as an example for simulation verification. The example shows that the planning model proposed in this paper uses the flexibility of the energy storage system and electric vehicles to reduce the planning and operation cost of the system and improves the consumption rate of the photovoltaic power station in the distribution network. The model can provide reference for future power system planning including high penetration of renewable energy and virtual power plant flexibility resources.

Key words: distribution network planning, virtual power plant, electric vehicle, new energy consumption

CLC Number: