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计及需求响应的海岛微电网群优化运行研究

黄冬梅 吕嘉欣 时帅 李媛媛 傅望安 王晓亮

电力系统保护与控制2024,Vol.52Issue(9):88-98,11.
电力系统保护与控制2024,Vol.52Issue(9):88-98,11.DOI:10.19783/j.cnki.pspc.231127

计及需求响应的海岛微电网群优化运行研究

Optimal operation of island microgrid clusters considering demand response

黄冬梅 1吕嘉欣 2时帅 2李媛媛 2傅望安 3王晓亮4

作者信息

  • 1. 上海电力大学电子与信息工程学院,上海 201306
  • 2. 上海电力大学电气工程学院,上海 200090
  • 3. 华能(浙江)能源开发有限公司清洁能源分公司,浙江 杭州 310014
  • 4. 自然资源部东海海域海岛中心,上海 200136
  • 折叠

摘要

Abstract

With the background of the island renewable energy substitution and the large-scale application of electric vehicle technology,then to solve the electricity demand of remote island residents,an optimization method for electric vehicle access to the island microgrid cluster is proposed.First,the charging behavior of electric vehicles is modelled based on an actual monitoring data set,a joint evaluation and indices of various distribution forms are compared,and a well-fitting probability distribution function is obtained.Second,this paper selects multiple islands and constructs a low-carbon island energy system.Considering renewable energy penetration and user satisfaction,the optimization model of the microgrid cluster is established,with the aim of optimizing the economic and environmental benefits of the cluster.The spider wasp optimization(SWO)algorithm is used for analysis.Finally,taking an island cluster in Zhejiang as an example,the calculations show that the proposed island microgrid cluster optimization model can effectively reduce the system cost and be more economical when there is a high penetration rate of renewable energy.

关键词

海岛微电网群/电动汽车/需求响应/蜘蛛蜂优化算法

Key words

island microgrid cluster/electric vehicle/demand response/spider wasp optimization(SWO)

引用本文复制引用

黄冬梅,吕嘉欣,时帅,李媛媛,傅望安,王晓亮..计及需求响应的海岛微电网群优化运行研究[J].电力系统保护与控制,2024,52(9):88-98,11.

基金项目

This work is supported by the National Key Research and Development Program of China(No.2021YFC3101602). 国家重点研发计划项目资助(2021YFC3101602) (No.2021YFC3101602)

华能集团总部科技项目"HNKJ20-H66 基于深远海的海上风电选址和支撑技术研究"资助 ()

电力系统保护与控制

OA北大核心CSTPCD

1674-3415

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