电力建设2026，Vol.47Issue(2)：136-146,11.DOI:10.12204/j.issn.1000-7229.2026.02.011
协同综合需求侧响应的多能微网低碳优化调度与低保守度鲁棒求解方法
Multi-Energy Microgrid Low-Carbon Optimization Scheduling and Robust Solution Method with Low Conservatism Based on Collaborative Comprehensive Demand Side Response
摘要
Abstract
[Objective]To address the negative impacts of renewable energy and load uncertainty on the economic performance and low-carbon optimization operation of multi-energy microgrids,this paper explores the potential of comprehensive demand response and proposes a low-conservatism robust solution method for the electric-thermal microgrid.[Methods]Firstly,a low-carbon scheduling model for multi-energy microgrids is constructed based on the constraints of the power grid and thermal network,as well as the characteristics of the combined electric-thermal demand response and the electric-thermal conversion process.To enhance the robustness and disturbance resistance of the operation mode in complex uncertainty environments,a theory of constructing uncertain sets based on high-dimensional linear polyhedra is proposed,which transforms the proposed model into a low-conservatism robust optimization model for solution;further,using the strong duality theory,the proposed robust model is transformed into a mixed integer optimization model for solution.This paper uses the IEEE 33-node multi-energy microgrid test system for calculation.[Results]The calculation results show that,compared with the traditional optimization scheduling strategy,the proposed scheduling method reduces the operation cost and carbon emission by 5.30%and 6.46%;considering the comprehensive demand response,the proposed model reduces the operation cost by 4.11%.[Conclusions]The calculation results verify the economic and low-carbon performarce of the proposed method.关键词
多能源微电网/鲁棒优化/对偶理论/综合需求响应Key words
multi-energy microgrid/robust optimization/duality theory/comprehensive demand response分类
信息技术与安全科学引用本文复制引用
杨晨,王龙,王宗义,金鑫,潘廷哲..协同综合需求侧响应的多能微网低碳优化调度与低保守度鲁棒求解方法[J].电力建设,2026,47(2):136-146,11.基金项目
This work is supported by Key Special Project of the National Key R&D Program"Government-to-Government Transnational Cooperation"(No.2019YFE0118700)and Science and Technology Project of China Southern Power Grid Company(No.ZBKJXM20240185). 国家重点研发计划"政府间跨国合作"项目重点专项(2019YFE0118700) （No.2019YFE0118700）
南方电网公司科技项目(ZBKJXM20240185) （ZBKJXM20240185）
