Optimal sizing and siting techniques for distributed generation in distribution systems: A review

被引:213
|
作者
Prakash, Prem [1 ]
Khatod, Dheeraj K. [1 ]
机构
[1] IIT Roorkee, Alternate Hydro Energy Ctr, Roorkee, Uttarakhand, India
来源
关键词
Distributed generation; Distribution system; Optimal sizing and siting; PARTICLE SWARM OPTIMIZATION; VOLTAGE STABILITY MARGIN; OPTIMAL PLACEMENT; OPTIMAL ALLOCATION; DISTRIBUTION NETWORKS; DG UNITS; OPTIMAL LOCATION; MULTIOBJECTIVE OPTIMIZATION; GENETIC ALGORITHM; LOSS REDUCTION;
D O I
10.1016/j.rser.2015.12.099
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
To extract the maximum potential advantages in light of environmental, economical and technical aspects, the optimum installation and sizing of Distributed Generation (DG) in distribution network has always been challenging for utilities as well as customers. The installation of DG would be of maximum benefit where setting up of central power generating units are not practical, or in remote and small areas where the installation of transmission lines or availability of unused land is out of question. The objective of optimal installation of DG in distribution system is to achieve proper operation of distribution networks with minimization of the system losses, improvement of the voltage profile, enhanced system reliability, stability and loadability etc. In this respect analytical (classical) methods, although well matched for small systems, perform adversely for large and complex objective functions. Unlike the analytical (classical) methods, the intelligent techniques for optimal sizing and siting of DGs are speedy, possess good convergence characteristics, and are well suited for large and complex systems. However, to find a global optimal solution of complex multi-objective problems, a hybrid of two or more meta heuristic optimization techniques give more effective and reliable solution. This paper presents the fundamentals of DG and DG technologies review the classical and heuristic approaches for optimal sizing and placement of DG units in distribution networks and study their impacts on utilities and customers. An attempt has also been made to compare the analytical (classical) and meta-heuristic techniques for optimal sizing and siting of DG in distribution networks. The present study can contribute meaningful knowledge and assist as a reference for investigators and utility engineers on issues to be considered for optimal sizing and siting of DG units in distribution systems. (C) 2015 Elsevier Ltd. All rights reserved.
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页码:111 / 130
页数:20
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