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考虑光伏场景聚合的配电网光储选址定容

颜勤 余国翔 曾林俊

湖南大学学报(自然科学版)2024,Vol.51Issue(8):117-126,10.
湖南大学学报(自然科学版)2024,Vol.51Issue(8):117-126,10.DOI:10.16339/j.cnki.hdxbzkb.2024284

考虑光伏场景聚合的配电网光储选址定容

Distribution Grid Siting and Capacity Sizing for Distributed PV and Storage Considering PV Scenario Aggregation

颜勤 1余国翔 1曾林俊2

作者信息

  • 1. 长沙理工大学 电气与信息工程学院,湖南 长沙 410114
  • 2. 长沙理工大学 能源与动力工程学院,湖南 长沙 410114
  • 折叠

摘要

Abstract

The research on PV aggregation scenarios is the basis and premise for realizing the joint planning of distributed PV and energy storage in regional power grids.It plays a significant role in promoting the full consumption of distributed PV in regional power grids.By analyzing the historical PV data based on the improved K-means++algorithm aggregation,the typical PV output scenarios were generated.Starting from the distribution network economy,environmental protection and reliability,a PV and energy storage siting and capacity planning model considering the aggregation of photovoltaic scenarios was established.And an analytic hierarchy process(AHP)was introduced to transform the multi-objective optimization problem into a single-objective problem.The multi-objective optimization problem was transformed into a single-objective problem and solved by particle swarm optimization(PSO).The results of the case study show that the proposed PV-scenario aggregation model more accurately depicts the uncertainty of PV output,verifying the effectiveness and feasibility of the model.

关键词

光伏聚合/分布式光伏/储能电池/选址定容/配电网

Key words

photovoltaic aggregation/distributed photovoltaic generation/energy storage battery/site selection and capacity planning/distribution network

分类

信息技术与安全科学

引用本文复制引用

颜勤,余国翔,曾林俊..考虑光伏场景聚合的配电网光储选址定容[J].湖南大学学报(自然科学版),2024,51(8):117-126,10.

基金项目

国家自然科学基金资助项目(52307080),National Natural Science Foundation of China(52307080) (52307080)

湖南省自然科学基金资助项目(2024JJ6057),Natural Science Foundation of Hunan Province(2024JJ6057) (2024JJ6057)

湖南省教育厅优秀青年项目(22B0318) (22B0318)

长沙市自然科学基金资助项目(kq2208230) (kq2208230)

湖南大学学报(自然科学版)

OA北大核心CSTPCD

1674-2974

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