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基于多目标优化的电力-交通系统协同运行分析 被引量:11

Analysis on Coordinated Power-Transportation System Operation Based on Multi-objective Optimization
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摘要 电动汽车渗透率的日益提升显著增强了城市交通系统和电力系统的耦合程度。综合考虑电力-交通耦合系统的多主体特性以及在经济成本、碳排放量等多目标上的优化调度需求,提出一种基于多目标优化的电力-交通系统协同运行模型。首先,采用混合用户均衡模型和二阶锥DistFlow模型来描述交通流和电力流的分布情况;其次,建立了描述经济成本和碳排放量的函数模型,并根据不同的利益主体和调度目标分别建立了3组多目标优化调度模型;再次,结合增强epsilon约束法和若干线性化手段高效求解各多目标优化的帕累托前沿,提出了基于公平性的折中解获取方法以平衡各主体利益;最后,基于12节点环形交通网和IEEE 33节点配电网对各组多目标问题的调度结果进行了深入分析。 The increasing penetration of electric vehicles has significantly strengthened the coupling between urban transportation systems and power systems.Comprehensively considering the multi-stakeholder characteristics of the coupled power-transportation system and the optimal dispatch requirements on multiple objectives such as economic costs and carbon emissions,a coordinated operation model of the power-transportation system based on multi-objective optimization is proposed.Firstly,the mixed user equilibrium model and the second-order cone Dist Flow model are adopted to describe the distribution of traffic flow and power flow.Secondly,the function models describing economic costs and carbon emissions are established,and three groups of multiobjective optimal dispatch models are established according to different stakeholders and dispatch objectives.Thirdly,the enhanced epsilon-constrained method combined with several linearization methods is adopted to efficiently derive the Pareto frontier of each multi-objective optimization.A method for capturing a fair compromise solution is proposed to balance the interest of each stakeholder.Finally,based on a 12-bus ring transportation network and a modified IEEE 33-bus distribution network,the dispatch results of each group of multi-objective problems are thoroughly analyzed.
作者 吕思 卫志农 马骏超 陈胜 彭琰 LYU Si;WEI Zhinong;MA Junchao;CHEN Sheng;PENG Yan(College of Energy and Electrical Engineering,Hohai University,Nanjing 211100,China;Electric Power Research Institute of State Grid Zhejiang Electric Power Co.,Ltd.,Hangzhou 310014,China)
出处 《电力系统自动化》 EI CSCD 北大核心 2022年第12期98-106,共9页 Automation of Electric Power Systems
基金 国家自然科学基金资助项目(U1966205) 中央高校基本科研业务费专项资金资助项目(B220203016) 江苏省研究生科研与实践创新计划项目(KYCX_220603)。
关键词 电动汽车 电力系统 交通系统 多目标优化 帕累托前沿 增强epsilon约束法 electric vehicle power system transportation system multi-objective optimization Pareto frontier enhanced epsilonconstrained method
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