Microgrid DG siting and sizing with consideration of EV energy management

被引：0

作者：

Zhang M. ^{[1
]}

Li L. ^{[1
]}

Du Z. ^{[2
]}

Ouyang L. ^{[2
]}

机构：

[1] College of Electronic and Information Engineering, Tongji University, Shanghai

[2] Central Academe of Shanghai Electric Group Co., Ltd., Shanghai

来源：

Dianli Zidonghua Shebei/Electric Power Automation Equipment | 2017年 / 37卷 / 07期

基金：

上海市自然科学基金;

关键词：

Distributed power generation; Electric vehicles; Energy management; NSGA-II; Siting and sizing;

D O I：

10.16081/j.issn.1006-6047.2017.07.008

中图分类号：

学科分类号：

摘要：

A siting and sizing model of microgrid DGs (Distributed Generators ) including EVs (Electric Vehicles) and a corresponding strategy of EV operation and management are proposed according to the properties of EV as a moving load and energy storage. Three EV energy management modes are developed based on the price incentive mechanism, i.e. uncoordinated charging, coordinated charging, and coordinated charging/discharging. With the minimum investment cost, the minimum interactive power fluctuation rate and the minimum islanded microgrid power-loss probability as the optimization objectives, the NSGA-II(Non-dominated Sorting Genetic Algorithm II) based on the elitist strategy is adopted to solve the model for getting the optimal DG planning scheme. Simulative results show that, compared with the uncoordinated charging mode, the coordinated charging and coordinated charging/discharging modes may effectively reduce the planning capacity of DGs, decrease the overall cost of microgrid and smooth the interactive power fluctuation. The ancillary service of EV delay charging/discharging may remarkably enhance the power-supply reliability of islanded microgrid. © 2017, Electric Power Automation Equipment Press. All right reserved.

引用

页码：46 / 54

页数：8

共 27 条

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