Multi-Objective Optimal Dispatching of Microgrid With Large-Scale Electric Vehicles

被引：32
|
作者：
Jiang, Haoyu [1 ,2 ]
Ning, Shiyuan [3 ]
Ge, Quanbo [3 ,4 ]
机构：
[1] Southeast Univ, Res Inst Automat, Nanjing 211189, Jiangsu, Peoples R China
[2] Hangzhou Zhongheng Prov Key Emerprise Res Inst Po, Hangzhou 310053, Zhejiang, Peoples R China
[3] Hangzhou Dianzi Univ, Sch Automat, Hangzhou 310018, Zhejiang, Peoples R China
[4] Guangdong Ocean Univ, Shenzhen Inst, Shenzhen 518120, Guangdong, Peoples R China
来源：
IEEE ACCESS | 2019年 / 7卷
关键词：
Microgrid; electric vehicle; particle swarm optimization; peak and valley price; optimal scheduling;
D O I：
10.1109/ACCESS.2019.2945597
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Dispatching the output of distributed power sources is the main task in the microgrid operation phase. This task is more concerned with the optimal dispatch of large electric vehicles connected to the grid-connected microgrid today. Full consider the influence of storage battery and peak-valley electricity price, its objective is to minimize the operating cost of microgrid and the cost of environmental protection, and establishing economic dispatching model of microgrid. To solve this constrained optimization problem, an annealing mutation particle swarm optimization algorithm is proposed. Through simulation and comparison, the dispatching cost results of microgrid are obtained under two dispatching modes of electric vehicle disorder and order. It is concluded that the orderly charging and discharging mode guided by electricity prices can effectively reduce the operating cost and environmental protection cost of microgrid. Improving the economy and reliability of microgrid operation.
引用
收藏
页码：145880 / 145888
页数：9
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