考虑经济角度的辐射型配电网多目标DG和RPC规划

Jaydeepsinh Sarvaiya, M. Chudasama
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引用次数: 0

摘要

在配电网中不断提高DG渗透率,不仅可以减少碳排放,还可以提高配电网的性能。在重组的环境中,任何配电公用事业公司都需要解决DG的放置和规模问题,以找到适合特定投资的经济有效的解决方案。大多数作者都试图通过降低整个网络的实际功率损耗来解决这个问题。一些作者考虑基于电压稳定的分析来提高实际电网的负载性。然而,最优无功补偿也需要纳入成本效益的解决方案。本文试图以降低实际功率损耗、提高电压稳定性为多目标来解决各种类型的DG和RPC机组的引用和选型问题。一种新的方法是开发成本函数来寻找配网的成本效益解决方案。基于进化的遗传算法用于优化目标函数。该算法在IEEE-33总线径向配电系统上进行了测试。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Multi objective DG and RPC planning of radial type distribution network considering economic ViewPoints
DG penetration is continuously increased across distribution network not only to reduce carbon emission, but also to enhanced performance of the distribution network. In a restructured environment any distribution utility need to address DG placement and sizing problem to find a cost effective solution for the specific investment. Most of the authors have attempted to solve the problem based on real power loss reduction across the network. Some authors consider voltage stability based analysis for increased loadability of network with real power loss. However, optimal reactive power compensation also need to be incorporated for a cost effective solution. In this paper an attempt has been made to address various types of DG and RPC units citing and sizing problem with multi-objectives consists real power loss reduction, voltage stability improvement. A new approaches includes development of cost function to find cost-effective solution for distribution network. Evolutionary based Genetic Algorithm used to optimize objective function. Proposed algorithm is tested on IEEE-33 bus radial distribution system.
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