基于Jaya算法的多目标优化中DG和DSTATCOM同时放置的综合研究

S. Nath, S. Chatterjee, Sayantan Mandal, Dipanwita Chatterjee
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引用次数: 0

摘要

电力系统正在经历范式转变,不断采用新技术以提高运行效率。为了应对日益增长的负荷需求,分布式发电技术已经显现出来,其中分布式发电技术的应用已经超越了其他技术,给现代电力系统带来了显著的变化。dg的位置和大小对功率损耗有显著影响。为了服务于预测的峰值负荷,分布式电网是延缓输配电扩容的最佳替代方案之一。这项研究工作提出了一个优化模型,使用参数独立的Jaya算法来确定最佳DG大小和位置,以最大限度地减少有功和无功功率损失,同时增强系统电压分布确保。为了实现这一目标,研究了1型和3型dg以及DSTATCOM的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Comprehensive Study of Simultaneous Placement of DG and DSTATCOM for Multi-Objective Optimization using Jaya Algorithm
Power system is undergoing a paradigm shift and new technologies are being adopted on a continuous basis to improve the operational efficiency. To cope with the increasing load demand several techniques have been manifested and amidst these Distributed Generators (DG) have outshined every other technique and brought a noteworthy change in the modern power system. The location and size of the DGs have a remarkable affect on power loss. In order to serve the forecasted peak load, DGs present themselves as one of the best alternative solutions to procrastinate the transmission and distribution expansion. This research work proposes an optimization model using parameter independent Jaya algorithm to determine optimal DG size and sites that would minimize the active and reactive power looses along with enhanced systems voltage profile ensuring. Performance of type-1 and type-3 DGs along with DSTATCOM is studied to achieve the objective.
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