Stochastic Optimal Management of Renewable Microgrid. Using Simplified Particle Swarm Optimization Algorithm

被引：0
|
作者：
Ravi, Lekah [1 ]
Kumar, C. Venkatesh [1 ]
Babu, M. Ramesh [1 ]
机构：
[1] St Josephs Coll Engn, Dept Elect & Elect Engn, Madras, Tamil Nadu, India
来源：
2018 4TH INTERNATIONAL CONFERENCE ON ELECTRICAL ENERGY SYSTEMS (ICEES) | 2018年
关键词：
Micro-grid; optimal energy management; PSO (particle swarm optimization); renewable energy; ENERGY MANAGEMENT;
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：
Micro-grid is one of the developing way for generating the power using the micro-sources. The optimal energy management of microgrid is necessary to overcome the environmental aspects such as weather conditions. To maintain the micro-grid effective by reducing the losses and cost of generating power. Losses are reduced at distribution level and operational cost is reduced by using optimization techniques. In this paper, the mathematical model is developed, and particle swarm optimization algorithm is used to solve the problem. Therefore, proposed work to optimize the operating cost of micro-grid by using the hourly forecast output power from different micro sources. Sources are renewable sources such as wind, solar etc. and their performance is illustrated.
引用
收藏
页码：261 / 266
页数：6
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