计及出租车充电行为的微电网能量管理研究  

Research on Energy Management of Microgrid with Consideration of Taxi Charging Behavior

作　　者：陈宇 吴晓刚[1] 杜玖玉[2] 孙金磊[3] Chen Yu;Wu Xiaogang;Du Jiuyu;Sun Jinlei(School of Electrical and Electronic Engineering,Harbin University of Science and Technology,Harbin 150006;Tsinghua University,State Key Laboratory of Automotive Safety and Energy,Beijing 100084;School of Automation,Nanjing University of Science and Technology,Nanjing 210094)

机构地区：[1]哈尔滨理工大学电气与电子工程学院,哈尔滨150006 [2]清华大学,汽车安全与节能国家重点实验室,北京100084 [3]南京理工大学自动化学院,南京210094

出　　处：《汽车工程》2022年第4期525-534,共10页Automotive Engineering

基　　金：国家国际科技合作专项(2019YFE0100200)资助。

摘　　要：针对可再生能源发电和电动汽车并网的不确定性给微电网运行的经济性和稳定性带来挑战,本文在设定不同充电场景的基础上,构建了考虑光伏发电和出租车充电不确定性的微电网经济运行模型,以最小化微电网总发电成本为目标,各分布式电源的功率限值与功率平衡为约束,采用混合粒子群优化算法进行求解,得到不同充电场景下各分布式电源的最优功率输出和系统在调度周期内的最低运行成本。优化结果表明,综合优化充电行为能提高孤立微电网的可调度性,使微电网的运行成本降低21.2%。In view of the challenges to the economy and stability of micro-grid’s operation brought about by the uncertainty of renewable energy electricity generation and electric vehicles’ batteries connected to the grid,the economic operation model of micro-grid is constructed in this paper,on the basis of setting different charging scenes with consideration of the uncertainty of photovoltaic electricity generation and taxi charging. A simulation is conducted by adopting the hybrid particle swarm optimization algorithm to solve out the optimum power output of each distributed power source and the lowest operation cost of system in different charging scenes,with minimizing the total cost of electricity generation in micro-grid as objective,and the power limits of each distributed power source and power balance as constraints. The results of optimization show that comprehensively optimizing the charging behavior can enhance the dispatchability of the isolated micro-grid,reducing the operation cost of the micro-grid by 21.2%.

关 键 词：电动汽车 微电网 经济性 充电场景 

分 类 号：TM73[电气工程—电力系统及自动化] U491.8[交通运输工程—交通运输规划与管理]