含电动汽车的微网系统多目标经济调度

发布时间：2018-01-29 11:39

本文关键词： 微网经济调度电动汽车入网多目标优化 NSGA-II Pareto最优解前沿优先顺序法　出处：《电工技术学报》2014年S1期 　论文类型：期刊论文

【摘要】：根据电动汽车的时空特性,建立了电动汽车无序充电和有序充放电的负荷模型。将电动汽车纳入微网,与其他分布式电源共同参与调度。构建了包含运行成本最低、二氧化碳排放最少、污染物处理费用最低的多目标微网系统经济调度模型。基于NSGA-II算法分析了多目标函数间的关系,最优解均匀地分布在Pareto最优解前沿上,保证了最优解的多样性。最后,将多目标函数处理为单目标函数,采用优先顺序法,基于不同的调度控制策略,对含电动汽车的微网系统进行经济调度。通过算例系统,验证了模型和策略的正确性。结果表明,电动汽车通过有序充放电模式入网比无序充电入网经济性更好,与此同时,负荷的波动越大,微网系统的运行总费用越高。
[Abstract]:According to the space-time characteristic of electric vehicle, the load model of disordered charging and orderly charging and discharging of electric vehicle is established, and the electric vehicle is incorporated into the microgrid. Participate in scheduling with other distributed power sources. Build with the lowest operating cost and minimum carbon dioxide emissions. Based on the NSGA-II algorithm, the relationship between the multi-objective functions is analyzed, and the optimal solution is uniformly distributed on the front edge of the Pareto optimal solution. The diversity of the optimal solution is ensured. Finally, the multi-objective function is treated as a single-objective function, and the priority order method is adopted, based on different scheduling control strategies. The economic dispatch of the microgrid system with electric vehicle is carried out. The correctness of the model and the strategy is verified by the example system. The results show that the model is correct. The charging and discharging mode of electric vehicle is more economical than the disordered charging mode. At the same time, the more the load fluctuates, the higher the total operating cost of the microgrid system is.
【作者单位】：合肥工业大学电气与自动化工程学院;中国电力科学研究院;
【基金】：国家高技术研究发展计划(863计划)项目(2011AA05A107) 国家自然科学基金项目(51177036) 国家电网公司总部技术服务项目(PDB51201404085)
【分类号】：TM73
【正文快照】： 1引言电动汽车(Electric Vehicle,EV)的大规模接入势必会给电网带来诸多影响[1],大量电动汽车的无序充电不仅会加重电网负荷高峰时的负担,还会影响系统电压和频率。随着电动汽车入网(Vehicleto Grid,V2G)概念[2]的提出,这些问题可能会得到缓解。V2G,即电动汽车作为储能单元,在

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