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为应对碳排放增加和清洁能源消纳问题，根据柔性负荷的可转移、可平移、可削减特性，建立以系统运行成本和碳交易成本最低为优化目标的虚拟电厂低碳经济运行模型，选用Matlab+Yalmip工具箱调用Cplex求解器对算例进行求解。通过设置不同场景进行对比分析，验证在碳交易体系下，柔性负荷的合理调度对虚拟电厂进一步减少碳排放、降低系统成本可发挥的作用。仿真结果表明，在碳交易体系下，柔性负荷的合理调度能够有效提高系统的经济环境综合效益和电力系统的灵活性及抗风险能力，为我国电力市场的健康发展提供有力支持。
Abstract：In order to cope with the problems of increasing carbon emissions and clean energy consumption, a low-carbon economic operation model of virtual power plant is established based on the transferable, translational, and reducible characteristics of flexible loads, with the optimization goal of minimizing the system operation cost and carbon trading cost. Matlab+Yalmip toolbox is used to call the Cplex solver to solve the case. By comparing and analyzing different scenarios, it is verified that under the carbon trading system, the reasonable scheduling of flexible loads plays a role in the virtual power plant to further reduce carbon emissions and system costs. The simulation results show that under the carbon trading system, the rational scheduling of flexible loads can effectively improve the comprehensive economic and environmental benefits of the system as well as the flexibility and risk-resistance of the power system, which will provide strong support for the healthy development of China′s power market.
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基本信息:
DOI：10.19929/j.cnki.nmgdljs.2024.0064
中图分类号:
引用信息:
[1]姜立兵1,2,刘念1,庞万3等.计及碳交易和需求响应的虚拟电厂低碳经济运行分析[J],2024,42(05):28-37.DOI:10.19929/j.cnki.nmgdljs.2024.0064.
基金信息:
辽宁省自然科学基金联合基金面上项目“考虑冷热电气耦合特性的低碳区域综合能源系统优化方法研究”（2023-MSLH-263）