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Optimal Placement and Sizing of Distributed Generation Using Multi-Verse Optimization

机译:使用多版本优化的分布式发电系统优化布置和规模调整

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In this present situation, power loss minimization in distribution network is one of the challenging area of research. In distribution system losses are more compared to transmission system. High power loss occurs when the connected loads in the distribution network are moved away from distribution substation. Adequate allocation and sizing of distributed generation (DGs) and capacitors are the modern way to minimize the distribution power loss. Improper placement leads to increase in power loss and may affect system performance adversely. Computation intelligence based methods has been used to allocate the DGs in proper location. In this present work a recently developed nature inspired algorithm known as Multi Verse Optimization (MVO) has been implemented for DGs placement problem. The implementation of MVO has been tested on 33 bus radial distribution system. The obtained results have also been compared with the reported results in literature to establish effectiveness of the algorithm.
机译:在目前的情况下,配电网络中的功率损耗最小化是研究的挑战性领域之一。在配电系统中,与传输系统相比,损耗更大。当配电网络中连接的负载远离配电变电站时,会发生高功率损耗。分布式发电(DG)和电容器的适当分配和大小调整是使配电功率损耗最小化的现代方法。放置不当会导致功率损耗增加,并可能对系统性能产生不利影响。基于计算智能的方法已用于将DG分配到适当的位置。在本工作中,已针对DG的放置问题实施了一种最新开发的自然启发算法,称为多词优化(MVO)。 MVO的实现已在33总线径向分配系统上进行了测试。还将获得的结果与文献报道的结果进行比较,以建立算法的有效性。

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