Efficient immune-GA method for DNOs in sizing and placement of distributed generation units

Alireza Soroudi, M. Ehsan
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引用次数: 33

Abstract

This paper proposes a hybrid heuristic optimization method based on genetic algorithm and immune systems to maximize the benefits of Distribution Network Operators (DNOs) accrued due to sizing and placement of Distributed Generation (DG) units in distribution networks. The effects of DG units in reducing the reinforcement costs and active power losses of distribution network have been investigated. In the presented method, the integration of DG units in distribution network is done considering both technical and economical aspects. The strength of the proposed method is evaluated by applying it on a small and a realistic large scale distribution network and the results are compared with analytical classic and other heuristic methods and discussed. Copyright © 2010 John Wiley & Sons, Ltd.
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基于免疫遗传算法的分布式发电机组优化设计
本文提出了一种基于遗传算法和免疫系统的混合启发式优化方法,以最大限度地提高配电网中分布式发电机组的规模和布局所带来的配电网运营商的收益。研究了分布式发电机组在降低配电网加固费用和有功损耗方面的作用。该方法从技术和经济两个方面考虑配电网中DG机组的集成问题。将该方法应用于小型配电网和实际大型配电网,对其强度进行了评价,并与经典解析法和其他启发式方法进行了比较和讨论。版权所有©2010 John Wiley & Sons, Ltd
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来源期刊
European Transactions on Electrical Power
European Transactions on Electrical Power 工程技术-工程:电子与电气
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审稿时长
5.4 months
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