• 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 ›› 2023, Vol. 44 ›› Issue (2): 122-130.doi: 10.12204/j.issn.1000-7229.2023.02.012

• New Energy Power Generation • Previous Articles     Next Articles

Carrying Capacity Evaluation of Distribution Network for Distributed Photovoltaic Cluster Considering User-Side Demand Response

YU Haozheng1, ZHAO Hanjie2, LI Ke1, ZHU Xingxu2, HUANGFU Xiaowen1, FAN Jiangchuan1, LI Cuiping2, LI Junhui2()   

  1. 1. State Grid Henan Economic Research Institute, Zhengzhou 450000 China
    2. Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology, Ministry of Education(Northeast Electric Power University),Jilin 132012, Jilin Province, China
  • Received:2022-04-12 Online:2023-02-01 Published:2023-01-30
  • Supported by:
    project ‘Coordinated Development of Distribution Network Acceptance and Planning under High Proportion of Distributed Generation’(SGHAYJOOGHJS2100075);Jilin Provincial Natural Science Foundation Joint Fund Project(YDZJ202101ZYTS152)


Aiming at the problem that photovoltaic clusters are not considered in the traditional evaluation method of carrying capacity of distribution network for distributed photovoltaic power, a two-layer model of carrying capacity with photovoltaic clusters as the evaluation unit is constructed. In the outer layer of the model, PSO algorithm is used to describe the change of load demand through price elasticity coefficient, and the time-of-use price is optimized with the goal of maximizing the income of E-seller. In the inner layer, taking no reverse power transmission to the main network as the index, considering the voltage deviation and equipment thermal stability constraints, a sensitivity ranking method is proposed to calculate the carrying capacity for photovoltaic power. In the actual distribution network of a county in China, the impact of a single photovoltaic cluster on the carrying capacity of the distribution network is calculated, and the carrying capacity of the distribution network for the photovoltaic cluster is calculated to verify the effectiveness of the proposed model and algorithm.

Key words: distribution network, distributed photovoltaic power, demand response, carring capacity, cluster

CLC Number: