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考虑关于期望缺供电量有效线性化表达式的发电扩展规划

Donglei Sun Zhijie Zheng Shuai Liu Mingqiang Wang Yi Sun Dong Liu

全球能源互联网(英文)2021,Vol.4Issue(3):273-284,12.
全球能源互联网(英文)2021,Vol.4Issue(3):273-284,12.DOI:10.14171/j.2096-5117.gei.2021.03.005

考虑关于期望缺供电量有效线性化表达式的发电扩展规划

Generation expansion planning considering efficient linear EENS formulation

Donglei Sun 1Zhijie Zheng 1Shuai Liu 2Mingqiang Wang 2Yi Sun 1Dong Liu1

作者信息

  • 1. Economic & Technology Research Institute,State Grid Shandong Electric Power Company,Jinan 250021,Shandong Province,P.R China
  • 2. Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education,Shandong University,Jinan 250061,Shandong Province,P.R China.
  • 折叠

摘要

Abstract

Power system equipment outages are one of the most important factors affecting the reliability and economy of power systems.It is crucial to consider the reliability of the planning problems.In this paper,a generation expansion planning(GEP)model is proposed,in which the candidate generating units and energy storage systems(ESSs)are simultaneously planned by minimizing the cost incurred on investment,operation,reserve,and reliability.The reliability cost is computed by multiplying the value of lost load(VOLL)with the expected energy not supplied(EENS),and this model makes a compromise between economy and reliability.Because the computation of EENS makes the major computation impediment of the entire model,a new efficient linear EENS formulation is proposed and applied in a multi-step GEP model.By doing so,the computation efficiency is significantly improved,and the solution accuracy is still desirable.The proposed GEP model is illustrated using the IEEE-RTS system to validate the effectiveness and superiority of the new model.

关键词

设备故障/期望缺供电量/发电扩展规划/线性化方法

Key words

Expected energy not supplied/Generation expansion planning/Linearization methods

引用本文复制引用

Donglei Sun,Zhijie Zheng,Shuai Liu,Mingqiang Wang,Yi Sun,Dong Liu..考虑关于期望缺供电量有效线性化表达式的发电扩展规划[J].全球能源互联网(英文),2021,4(3):273-284,12.

基金项目

This work was supported by project of State Grid Shandong Electric Power Company (52062520000Q) and the National Key Research and Development Program of China (2019YFE0118400). (52062520000Q)

全球能源互联网(英文)

OACSCDCSTPCDEI

2096-5117

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