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考虑新能源多时间尺度不确定性的低碳电源规划方法

Yuanze Mi Chunyang Liu Jinye Yang Hengxu Zhang Qiuwei Wu

全球能源互联网(英文)2021,Vol.4Issue(3):261-272,12.
全球能源互联网(英文)2021,Vol.4Issue(3):261-272,12.DOI:10.14171/j.2096-5117.gei.2021.03.004

考虑新能源多时间尺度不确定性的低碳电源规划方法

Low-carbon generation expansion planning considering uncertainty of renewable energy at multi-time scales

Yuanze Mi 1Chunyang Liu 1Jinye Yang 1Hengxu Zhang 1Qiuwei Wu1

作者信息

  • 1. Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education(Shandong University),Jinan 250061,Shandong,P.R.China
  • 折叠

摘要

Abstract

With the development of carbon electricity,achieving a low-carbon economy has become a prevailing and inevitable trend.Improving low-carbon expansion generation planning is critical for carbon emission mitigation and a low-carbon economy.In this paper,a two-layer low-carbon expansion generation planning approach considering the uncertainty of renewable energy at multiple time scales is proposed.First,renewable energy sequences considering the uncertainty in multiple time scales are generated based on the Copula function and the probability distribution of renewable energy.Second,a two-layer generation planning model considering carbon trading and carbon capture technology is established.Specifically,the upper layer model optimizes the investment decision considering the uncertainty at a monthly scale,and the lower layer one optimizes the scheduling considering the peak shaving at an hourly scale and the flexibility at a 15-minute scale.Finally,the results of different influence factors on low-carbon generation expansion planning are compared in a provincial power grid,which demonstrate the effectiveness of the proposed model.

关键词

新能源/多时间尺度/不确定性/低碳/电源规划

Key words

Renewable energy/Multi-time scales/Uncertainty/Low-carbon/Generation planning

引用本文复制引用

Yuanze Mi,Chunyang Liu,Jinye Yang,Hengxu Zhang,Qiuwei Wu..考虑新能源多时间尺度不确定性的低碳电源规划方法[J].全球能源互联网(英文),2021,4(3):261-272,12.

基金项目

This study was supported partly by the National Key R&D Program of China (2018YFA0702200) and the Science and Technology Project of State Grid Shandong Electric Power Company (520604190002). (2018YFA0702200)

全球能源互联网(英文)

OACSCDCSTPCDEI

2096-5117

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