Optimal Allocation of Renewable-based DG Resources in Rural Areas Using Genetic Algorithms

被引：0
|
作者：
Albadi, M. H. [1 ]
Al-Hinai, A. S. [1 ]
Al-Abri, N. N. [1 ]
Al-Busafi, Y. H. [1 ]
Al-Sadairi, R. S. [1 ]
机构：
[1] Sultan Qaboos Univ, Dept Elect & Comp Engn, Muscat 123, Oman
来源：
2012 ASIA-PACIFIC POWER AND ENERGY ENGINEERING CONFERENCE (APPEEC) | 2012年
关键词：
Distributed Generation; Loss minimization; Genetic Algorithms;
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 presents a case study about the optimal allocation of renewable-based DG resources in rural areas using genetic algorithms. After building the power flow model based on the available data, the system performance in terms of power losses are studied for different scenarios. Based on loss minimization as an objective function, the optimal location and size of DG is found. In addition, the fuel saving, loss reduction and environmental benefits of the proposed DG size at the optimum location are quantified.
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页数：4
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