Optimal Off-Grid Hybrid Renewable Energy System for Residential Applications Using Particle Swarm Optimization

被引：0
|
作者：
Abuzeid, Osama [1 ]
Daoud, Amjad [2 ]
Barghash, Mahmoud [3 ]
机构：
[1] Univ Jordan, Mech Engn Dept, Amman 11942, Jordan
[2] Higher Coll Technol, Engn Dept, Al Ain, U Arab Emirates
[3] Univ Jordan, Ind Engn Dept, Amman 11942, Jordan
来源：
JORDAN JOURNAL OF MECHANICAL AND INDUSTRIAL ENGINEERING | 2019年 / 13卷 / 02期
关键词：
off-grid; hybrid; Particle Swarm optimization (PSO); Levelized Cost of Energy (LCE); TECHNOECONOMIC ANALYSIS; RURAL ELECTRIFICATION; POWER-SYSTEMS; PERFORMANCE ANALYSIS; COST; DESIGN;
D O I：
暂无
中图分类号：
TH [机械、仪表工业];
学科分类号：
0802 ;
摘要：
We propose a hybrid off-grid energy system that comprises photovoltaic panels, wind turbines, diesel generators, and a battery bank. The proposed system could be adjusted to reflect real world conditions in order to optimize the cost of energy. Using Particle Swarm optimization searching methods, an optimal combination that follows load demand data of a typical house is found. From this configuration, the optimal mix that minimizes the levelized cost of energy (LCE) is formed and is found to be comparable to the cost of grid electricity. (C) 2019 Jordan Journal of Mechanical and Industrial Engineering. All rights reserved
引用
收藏
页码：117 / 124
页数：8
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