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新能源小镇综合能源系统两阶段鲁棒优化配置

胡利 程静

电力工程技术2026,Vol.45Issue(2):21-29,9.
电力工程技术2026,Vol.45Issue(2):21-29,9.DOI:10.12158/j.2096-3203.2026.02.003

新能源小镇综合能源系统两阶段鲁棒优化配置

Two-stage robust optimization configuration of comprehensive energy system for the new energy town

胡利 1程静1

作者信息

  • 1. 新疆大学可再生能源发电与并网控制教育部工程研究中心,新疆 乌鲁木齐 830047
  • 折叠

摘要

Abstract

A two-stage robust optimization configuration strategy for the new energy town is proposed to address the issue of insufficient power supply reliability in integrated energy systems due to the fluctuation and intermittency characteristics during the integration of a high proportion of renewable energy.In the first stage,historical source-load data is utilized to make preliminary decisions on unit capacity configuration,with the objective of minimizing system configuration costs.In the second stage,polyhedral uncertainty sets are employed to describe the uncertainties of source-load,aiming to minimize system operation costs,and power data predictions for the worst-case scenarios are obtained based on the decision outcomes of the first stage.An uncertainty parameter is then introduced to control the conservativeness of the robust optimization configuration scheme.The model is solved using the column and constraint generation(C&CG)algorithm,which iteratively determines unit capacity configuration and converges to the optimal configuration scheme.A case study of the new energy town in Northern China is conducted,and the results verify the effectiveness and feasibility of the proposed strategy and optimization method,demonstrating their capability to enhance the power supply reliability and economy of the new energy town.

关键词

容量配置/两阶段鲁棒优化/双重不确定性/新能源小镇/多面体不确定集/列与约束生成(C&CG)算法

Key words

capacity configuration/two-stage robust optimization/dual uncertainty/new energy town/polyhedral uncertainty set/column and constraint generation(C&CG)algorithm

分类

信息技术与安全科学

引用本文复制引用

胡利,程静..新能源小镇综合能源系统两阶段鲁棒优化配置[J].电力工程技术,2026,45(2):21-29,9.

基金项目

新疆维吾尔自治区重大科技专项资助项目(2022A01001-4) (2022A01001-4)

电力工程技术

2096-3203

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