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考虑差异化需求响应不确定性的综合能源系统低碳经济优化调度

赵安新 张智晟

电力需求侧管理2025,Vol.27Issue(2):35-41,7.
电力需求侧管理2025,Vol.27Issue(2):35-41,7.DOI:10.3969/j.issn.1009-1831.2025.02.006

考虑差异化需求响应不确定性的综合能源系统低碳经济优化调度

Low-carbon economy optimization scheduling of integrated energy system considering the uncertainty of differentiated demand response

赵安新 1张智晟1

作者信息

  • 1. 青岛大学 电气工程学院,青岛 266071
  • 折叠

摘要

Abstract

In order to further reduce the load pressure during peak and valley periods in the integrated energy system,improve the low-car-bon economy of system operation,and reduce system operation risks,the differences in demand response of different loads and the uncer-tainty of demand response are considered.The uncertainty of demand response is fuzzily processed,and a low-carbon economic dispatch model for the integrated energy system considering the uncertainty of differentiated demand response is established.Firstly,differentiate pricing for different types of loads and use a tiered carbon emission cost model to constrain carbon emissions.On this basis,a planning model is established with the goal of minimizing the total operating cost of the system,including the operation and maintenance cost,ener-gy sales revenue,and carbon emission cost.Then,the squirrel algorithm is improved and solved using the chaotic squirrel optimization al-gorithm.Through actual case analysis,the results show that considering the uncertainty of differentiated demand response can improve sys-tem reliability,smooth the load curve,and improve the low-carbon economy of the system.This verifies the effectiveness of the established scheduling model,and the data also shows that the chaotic squirrel algorithm has better optimization ability.

关键词

综合能源系统/差异化需求响应/混沌松鼠优化算法/低碳经济/实时电价/模糊机会约束

Key words

integrated energy system/differentiated demand response/chaotic squirrel search algorithm/low carbon economy/real-time electricity price/fuzzy chance constraint

分类

动力与电气工程

引用本文复制引用

赵安新,张智晟..考虑差异化需求响应不确定性的综合能源系统低碳经济优化调度[J].电力需求侧管理,2025,27(2):35-41,7.

基金项目

国网山东省电力公司科技项目(2020A-022) (2020A-022)

电力需求侧管理

1009-1831

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