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"双碳"目标下电热-电蓄热接入配电网拓扑多目标规划

宋卓然 李剑峰 范宇航 姜涛 刘宇 黄南天

电力建设2024,Vol.45Issue(4):57-65,9.
电力建设2024,Vol.45Issue(4):57-65,9.DOI:10.12204/j.issn.1000-7229.2024.04.006

"双碳"目标下电热-电蓄热接入配电网拓扑多目标规划

Multiobjective Planning of Electric Heating-Electric Heat Storage Device Access to Distribution Network Topology under Dual Carbon Target

宋卓然 1李剑峰 1范宇航 2姜涛 1刘宇 1黄南天2

作者信息

  • 1. 国网辽宁省电力有限公司,沈阳市 110006
  • 2. 东北电力大学电气工程学院,吉林省吉林市 132012
  • 折叠

摘要

Abstract

ABSTRACT:In the context of"carbon emission peaks and carbon neutrality,"electric heating has become the mainstream heating method.Electric heating loads typically increase the operating pressure of the distribution network;therefore,it is necessary to expand the distribution network.Traditional planning methods have difficulty in solving the problem of flexible distribution network planning with a large number of electric heating-electric heat storage devices.Therefore,a low-carbon expansion planning method for a distribution network considering access to electric heating-electric heat storage devices is proposed.First,based on the optimal room temperature for heating buildings,wind speed and other factors were comprehensively considered to derive a temperature time-varying equation and solve it to obtain the heat load demand.Next,the output characteristics of the heat load demand,wind power,and photovoltaic power were used during the planning process to optimize the operation mode of the thermal storage electric boiler to achieve the lowest carbon emissions.Finally,the range and variance of the load rate was used as the uniformity index of the distribution network,and the multiobjective expansion plan for the distribution network was carried out to achieve comprehensive cost and line load rate uniformity.A case study was solved using a nested hybrid particle swarm optimization algorithm,which introduces a dynamic inertia weight to enhance the optimization ability of particle swarm optimization.Actual data from a specific area in Northeast China were used in the case studies to verify the feasibility of the proposed method.

关键词

扩展规划/电蓄热/多目标规划/系统均匀性/混合粒子群优化

Key words

expansion plan/electric heat storage/multiobjective planning/system uniformity/hybrid particle swarm optimization algorithm

分类

信息技术与安全科学

引用本文复制引用

宋卓然,李剑峰,范宇航,姜涛,刘宇,黄南天.."双碳"目标下电热-电蓄热接入配电网拓扑多目标规划[J].电力建设,2024,45(4):57-65,9.

基金项目

This work is supported by National Key R8D Program of China(No.2022YFB2404002)and State Grid Liaoning Electric Power Co.,Ltd.Technology Projects(No.SGTYHT/21-JS-226).国家重点研发计划项目(2022YFB2404002) (No.2022YFB2404002)

国网辽宁省电力有限公司科技项目(SGTYHT/21-JS-226) (SGTYHT/21-JS-226)

电力建设

OA北大核心CSTPCD

1000-7229

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