Optimal management of MicroGrid based on a modified particle swarm optimization algorithm

被引：0
|
作者：
Dou, Chun-xia [1 ]
Jia, Xing-bei [1 ]
Bo, Zhi-qian [2 ]
Zhao, Fang [1 ]
Liu, Dong-le [1 ]
机构：
[1] Yanshan Univ, Inst Elect Engn, Qinhuangdao, Peoples R China
[2] AREVA Protect Control Ltd, Stafford, England
来源：
2011 ASIA-PACIFIC POWER AND ENERGY ENGINEERING CONFERENCE (APPEEC) | 2011年
基金：
美国国家科学基金会;
关键词：
Objective function; MicroGrid (MG); optimal management; operating cost; emissions; Objective constraints; particle swarm-based-simulated annealing;
D O I：
暂无
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
This paper proposes a new objective function for solving the optimal management of MicroGrid (MG) problem. This objective function aims to minimize MicroGrid's operating cost as well as the emissions of atmospheric pollutants while constraining it to meet the load demands. Some Objective constraints are presented in this paper for the safety of MG system. Moreover, the particle swarm-based-simulated annealing (PSO-B-SA) optimization algorithm is proposed to optimizing microsource output for the MG problem. The simulation study is on a sixteen bus system for one day load demands. The results demonstrate the validity and high-efficiency of the proposed algorithm to reduce the cost as well as the emissions while satisfying the load demands.
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页数：8
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