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计及电动汽车的微电网经济调度方法
引用本文:王 璟,王利利,郭 勇,孙义豪,关朝杰.计及电动汽车的微电网经济调度方法[J].电力系统保护与控制,2016,44(17):111-117.
作者姓名:王 璟  王利利  郭 勇  孙义豪  关朝杰
作者单位:国网河南省电力公司经济技术研究院,河南 郑州 450052,国网河南省电力公司经济技术研究院,河南 郑州 450052,国网河南省电力公司经济技术研究院,河南 郑州 450052,国网河南省电力公司经济技术研究院,河南 郑州 450052,国网河南省电力公司经济技术研究院,河南 郑州 450052
摘    要:针对电动汽车接入后微电网的节能减排发电调度问题,提出了结合电动汽车有序充放电控制的微电网多目标经济调度方案。分析电动汽车的行驶特性,建立基于峰谷分时电价的有序充放电负荷模型。以微网发电成本和环境效益的综合最优为目标函数,采用改进遗传算法,根据实时负荷供电需求,动态确定各可控分布式电源出力大小。在Matlab平台上以一个包含风、光、柴油发电机、微型燃气轮机、燃料电池以及电动汽车的小型微电网系统为例进行仿真。仿真结果表明:所提调度方法通过合理引导电动汽车的有序充放电,减少了负荷高峰时段微电网各发电单元的供电负担,以尽量低的发电成本实现良好的环境效益,验证了该优化调度方案的可行性和有效性。

关 键 词:电动汽车  有序充放电  微电网  经济调度  改进遗传算法
收稿时间:9/5/2015 12:00:00 AM
修稿时间:2015/12/30 0:00:00

Microgrid economic dispatch method considering electric vehicles
WANG Jing,WANG Lili,GUO Yong,SUN Yihao and GUAN Zhaojie.Microgrid economic dispatch method considering electric vehicles[J].Power System Protection and Control,2016,44(17):111-117.
Authors:WANG Jing  WANG Lili  GUO Yong  SUN Yihao and GUAN Zhaojie
Affiliation:State Grid Henan Economic Research Institute, Zhengzhou 450052, China,State Grid Henan Economic Research Institute, Zhengzhou 450052, China,State Grid Henan Economic Research Institute, Zhengzhou 450052, China,State Grid Henan Economic Research Institute, Zhengzhou 450052, China and State Grid Henan Economic Research Institute, Zhengzhou 450052, China
Abstract:Considering problems of energy-saving and emission-reducing in microgrid power generation scheduling with electric vehicles, the multi-objective microgrid economic dispatch method combined with electric vehicles coordinated charging/discharging regulation is proposed. The travel characteristics of vehicles are analyzed, and the load model with coordinated charging/discharging based on time-of-use tariff is established, then the comprehensive optimization between generation cost and environmental benefit is selected to be the objective function and output power of the controlled distributed generation sources can be determined dynamically according to the immediate power supply requirements by adopting a developed genetic algorithm. Simulation researches are carried out based on the MATLAB platform by employing a small microgird system containing a wind turbine, a photovoltaic, a diesel engine, a micro turbine, a fuel cell and electric vehicles, hence the feasibility and effectiveness of the proposed dispatch strategy are verified by simulation results indicating that the power demand in load peak period can be evidently reduced by intelligent charging/discharging mode of electric vehicles and the better environmental benefits can be reached at lower generation cost.
Keywords:electric vehicle  ordered charging/discharging  microgrid  economic dispatch  developed genetic algorithm
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