Optimal Sizing of a Grid-Connected PV/Wind/Battery System Using Particle Swarm Optimization

被引：16
|
作者：
Mahesh, Aeidapu [1 ]
Sandhu, Kanwarjit Singh [1 ]
机构：
[1] NIT Kurukshetra, Dept Elect Engn, Kurukshetra, Haryana, India
来源：
IRANIAN JOURNAL OF SCIENCE AND TECHNOLOGY-TRANSACTIONS OF ELECTRICAL ENGINEERING | 2019年 / 43卷 / 01期
关键词：
PV-wind-battery hybrid system; Size optimization; Particle swarm optimization; HYBRID SYSTEM; COST-ANALYSIS; WIND; DESIGN; ALLOCATION; SIZE;
D O I：
10.1007/s40998-018-0083-3
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
This paper presents a new optimal sizing strategy for a grid-connected PV/wind/battery hybrid system using particle swarm optimization and a novel energy filter algorithm. The objective function used is the total cost of the system and the constraints are the PV capacity, wind capacity and the battery capacity, while maintaining the system reliability and less fluctuations of power injected into the grid. In addition to the above constraints battery's state of charge is also taken into consideration to effectively size the system. A case study is also presented at the end to show the effectiveness of the proposed algorithm.
引用
收藏
页码：107 / 121
页数：15
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