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提高配电网承载力的分布式光伏双层规划方法

杨志淳 朱炳兆 操燕春 王丹

华中科技大学学报(自然科学版)2024,Vol.52Issue(7):69-75,7.
华中科技大学学报(自然科学版)2024,Vol.52Issue(7):69-75,7.DOI:10.13245/j.hust.240665

提高配电网承载力的分布式光伏双层规划方法

Distributed photovoltaic bilevel programming method for improving carrying capacity of distribution networks

杨志淳 1朱炳兆 2操燕春 3王丹2

作者信息

  • 1. 国网湖北省电力有限公司电力科学研究院,湖北 武汉 430074
  • 2. 华中科技大学电气与电子工程学院,湖北 武汉 430074
  • 3. 国网湖北省电力有限公司黄冈供电公司,湖北 黄冈 438000
  • 折叠

摘要

Abstract

In response to the explosive growth and large-scale grid connection of photovoltaic power generation,significant changes in the structure and operation status of the distribution network,and challenges to the reliability and safety of the distribution network,the generalized short circuit ratio(gSCR),voltage correlated margin index(VIMI),and voltage deviation were used as evaluation indicators for the carrying capacity of the distribution network.A distributed photovoltaic location and capacity dual layer planning model was proposed to improve the carrying capacity of the distribution network.The upper level aims to maximize the load-bearing capacity of the distribution network,and in which the location and capacity of distributed photovoltaic equipment were selected.The lower level planning aims to minimize grid losses,in which the reactive power output of photovoltaic equipment was adjusted,and the photovoltaic access capacity was optimized.The beetle antennae search algorithm(BAS)particle swarm optimization algorithm and second-order cone relaxation method was used to solve the model.Finally,the effectiveness of the model was verified through a case study,and the results show that the proposed scheme has good robustness and applicability.

关键词

承载能力/配电网/分布式光伏/选址定容/双层规划

Key words

carrying capacity/distribution network/distributed photovoltaic/site selection and capacity determination/bi-level programming

分类

信息技术与安全科学

引用本文复制引用

杨志淳,朱炳兆,操燕春,王丹..提高配电网承载力的分布式光伏双层规划方法[J].华中科技大学学报(自然科学版),2024,52(7):69-75,7.

基金项目

国网湖北黄冈供电公司2022年度高新区供电中心资助项目(52153222001H). (52153222001H)

华中科技大学学报(自然科学版)

OA北大核心CSTPCD

1671-4512

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