考虑条件风险价值的公路交通能源系统多能流管控策略  

Multi-Energy Flow Management and Control Strategy for Highway Traffic Energy System Considering Conditional-Value-at-Risk

作　　者：苏粟[1] 韦存昊 聂晓波[1] 李玉璟 王磊 Su Su;Wei Cunhao;Nie Xiaobo;Li Yujing;Wang Lei(School of Electrical Engineering Beijing Jiaotong University,Beijing 100044 China;School of Electrical Engineering Southeast University,Nanjing 210096 China;CCCC Mechanical&Electrical Engineering Co.Ltd,Beijing 101318 China)

机构地区：[1]北京交通大学电气工程学院,北京100044 [2]东南大学电气工程学院,南京210096 [3]中交机电工程局有限公司,北京101318

出　　处：《电工技术学报》2024年第21期6834-6849,共16页Transactions of China Electrotechnical Society

基　　金：国家重点研发计划资助项目(2021YFB2601403)。

摘　　要：为了实现公路交通背景下多能源系统和电动汽车换电站的经济运行与利益共赢,该文提出考虑条件风险价值(CVaR)的公路交通能源系统(HTES)多能流管控策略。首先,建立了主从博弈双层优化模型,其中上层模型以最小化HTES的综合成本为目标,对其进行多能流的合理管控与优化定价;在下层模型中,换电站根据HTES制定的价格灵活地调整各电池的充放电功率,在满足电能需求的前提下最小化与HTES进行能量交互的成本。然后基于多场景法,引入CVaR衡量可再生能源出力的不确定性所带来的风险成本,利用Karush-Kuhn-Tucker(KKT)条件和强对偶定理将原主从博弈双层模型转换为单层混合整数线性规划问题以计算其纳什均衡解,进而获取最优的运行和定价方案。最后,进行算例仿真。结果表明,所提策略可以兼顾HTES和换电站不同主体间的经济利益,实现运行成本和风险成本的平衡。To steadily promote carbon reduction policies,the development of electric vehicles(EVs)is currently experiencing a period of rapid growth.As a result,incorporating EV battery swapping stations into the highway traffic infrastructure has become one of the means to alleviate range anxiety and meet the fast charge-replenishment needs of EV users during long-distance driving.However,the introduction of battery swapping stations has also brought new challenges to the energy management and economic operation of highway traffic energy systems(HTES).Considering the unique application scenario of highway traffic,there is still a lack of comprehensive exploration regarding the complex relationship between HTES and battery swapping stations,as well as the joint operation and interaction mode between them.To address these gaps,this paper proposes a multi-energy flow management and control strategy for HTES considering conditional value-at-risk(CVaR).By taking into account the benefits of both HTES and battery swapping stations,as well as the uncertainty of renewable energy,this strategy aims to provide energy management and optimized pricing solutions.Firstly,a Stackelberg game bilevel optimization model is established.In the upper level of the established model,the reasonable control of multi-energy flows and optimal pricing are carried out to minimize the comprehensive cost of HTES.In the lower level,the battery swapping station flexibly schedules the charging and discharging power of each battery according to the price set by HTES,and then minimizes the cost of energy interaction with HTES on the premise of meeting the power demand.Next,based on the multi-scenario method,CVaR is introduced to measure the risk cost caused by the uncertainty of renewable energy output.Then,using the Karush-Kuhn-Tucker condition and strong duality theorem,the original Stackelberg game bilevel model is transformed into a single-layer mixed integer linear programming problem to solve the Nash equilibrium solution,and hence the optimal operatio

关 键 词：条件风险价值 主从博弈 多能流管控 公路交通能源系统 换电站 

分 类 号：TM73[电气工程—电力系统及自动化] TK01[动力工程及工程热物理]