文章基本信息

标题：APPLICATION OF CLONAL SELECTION IMMUNE SYSTEM METHOD FOR OPTIMIZATION OF DISTRIBUTION NETWORK
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作者：RAMADONI SYAHPUTRA ; SLAMET SURIPTO ; SOEDIBYO 等
期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2017
卷号：95
期号：15
页码：3604
出版社：Journal of Theoretical and Applied
摘要：This paper proposes an application of clonal selection immune system method for optimization of distribution network. The distribution network with high-performance is a network that has a low power loss, better voltage profile, and loading balance among feeders. The task for improving the performance of the distribution network is optimization of network configuration. The optimization has become a necessary study with the presence of DG in entire networks. In this work, optimization of network configuration is based on an AIS algorithm. The methodology has been tested in a model of 33 bus IEEE radial distribution networks with and without DG integration. The results have been showed that the optimal configuration of the distribution network is able to reduce power loss and to improve the voltage profile of the distribution network significantly.
关键词：Artificial Intelligence; Artificial Immune System; Distribution Network; Distributed Generator