南方电网技术2025，Vol.19Issue(9)：72-81,10.DOI:10.13648/j.cnki.issn1674-0629.2025.09.007
多种碳排放约束下的燃气发电系统优化调度
Optimal Scheduling of Gas Power Generation System under Multiple Carbon Emission Constraints
摘要
Abstract
Against the backdrop of global climate change and energy transition,the power system is facing multiple challenges,includ-ing economic viability.To ensure the good economic benefits of the new power system and implement the low-carbon development strategy,this paper proposes an optimal scheduling method for gas power generation system under various carbon emission constraints,including carbon emission quota constraints,carbon emission intensity constraints,and the addition of carbon capture and storage technology constraints.Firstly,system economy and new energy consumption are taken as optimization objectives,and the carbon emission constraint proposed in this paper is introduced on top of the basic operational constraints.Secondly,the relevant parameters are determined,and multi-objective particle swarm optimization algorithm is used to solve the model.Finally,the optimization results are compared and analyzed under multiple constraints and scenarios.The experimental results show that this method has significant effects on reducing system costs and improving the capacity of new energy consumption,which is of great practical significance to achieve low-carbon transformation of the power system.关键词
碳排放约束/系统经济运行/新能源消纳/多目标粒子群算法/优化调度Key words
carbon emission constraints/system economic operation/new energy consumption/MOPSO/optimal dispatch分类
信息技术与安全科学引用本文复制引用
花涵晓,延星,王光星,邵文才,范倚伟..多种碳排放约束下的燃气发电系统优化调度[J].南方电网技术,2025,19(9):72-81,10.基金项目
国家自然科学基金资助项目(42475151) （42475151）
江苏省科学技术厅产学研合作项目(BY20230734) （BY20230734）
"锡山英才计划"高校创新领军人才项目(2023xsyc003) （2023xsyc003）
无锡学院引进人才科研启动专项经费资助(2022r023). Supported by the National Natural Science Foundation of China(42475151) （2022r023）
Jiangsu Province Industry Univercity Research Cooperation Project(BY20230734) （BY20230734）
the Innovative Leading Talents Project in Univercity of Xishan Talents Program(2023xsyc003) （2023xsyc003）
Wuxi Univercity Research Start-Up Fund for Introduced Talents-Research(2022r023). （2022r023）
