基于CPLEX与MATLAB的电动汽车充电站优化调度仿真系统 |
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引用本文:程杉1,王贤宁1,2,冯毅煁1,王睿娟1.基于CPLEX与MATLAB的电动汽车充电站优化调度仿真系统[J].电网与清洁能源,2018,34(1):123~127 |
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基金项目:国家自然科学基金资助项目(5160070515) |
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中文摘要:以实现电动汽车充电站收益最大化为目标,针对电动汽车充电站对电动汽车如何选择充电时段的优化调度问题,建立了基于CPLEX和MATLAB的电动汽车充电站优化调度仿真系统。分别采用无序充电、集中式控制充电、分散式控制充电3种方式运行,同时对比了它们对当地日负荷曲线的影响。利用MATLAB中图形用户界面设计功能(GUI)建立了仿真系统界面,进而通过设置各个控件的属性功能及编制M文件来实现优化控制的功能。最后经过编译形成可操作文件。该仿真系统具有可视性、多功能性及可控性等优点,有助于完成电动汽车充电站对电动汽车的优化调度仿真实验。 |
中文关键词:充电站收益 分散式控制 集中式控制 拉格朗日松弛法 仿真实验 |
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Optimal Simulation System of Electric Vehicle Charging Station Based on CPLEX and MATLABCHENG Shan1, WANG Xianning1,2, FENG Yichen1, WANG Ruijuan1 |
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Abstract:To maximize the profit of electric vehicle charging stations, an optimal scheduling simulation system based on CPLEX and MATLAB is established to address how to select the optimal charging period for electric vehicles in electric vehicle charging stations. In this paper, we use three approaches, namely, disorder charging, centralized control charging and decentralized control charging, and compare the influences of each approach on the local daily load curve. Furthermore, the interface of the simulation system is established using the graphical user interface design function(GUI)in MATLAB and then the properties of each control and compiles the M file is set to realize the optimization control function, and finally form an operational file through compiling. The simulation system has advantages of visibility, versatility and controllability, which can help to complete the optimal scheduling simulation experiments of charging optimization in electric vehicle charging stations. |
keywords:profit of charging station decentralized control centralized control Lagrange Relaxation simulation |
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