Minimization of Power Losses in the Distribution System by Controlling Tap Changing Transformer using the PSO Algorithm

Chodagam Srinivas, V. Bhargavi, Nallagangula Srinu Babu, Paluri Harika, Pathula Kranthi
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引用次数: 1

Abstract

Earlier, power consumption was very low, and people were also less aware of electronic devices. Most people prefer natural methods for cooking, washing, grinding, ironing clothes, and other tasks. Recently, power consumption is increasing as the number of consumers in the distribution system increases. AC, washing machines, fans, TVs, rice cookers, refrigerators, and other appliances were in high demand. When fans, TVs, cooking, gadgets, and washing machines are used during the day, the load requirement is higher than when they are used at night. As a result of the uncertainty in demand, power losses and low voltage will occur. The primary goal of this research work is to reduce distribution system power losses by optimizing the tapings of the distribution transformer using the PSO algorithm and also achieve power compensation by locating the DG and capacitor banks, and results are analyzed by using MATLAB software. The backward forward sweep technique has been adapted to identify voltage levels of buses in the system, and the proposed approach was then examined on the IEEE 15 bus system.
用粒子群算法控制分接变换变压器使配电系统的功率损耗最小
早些时候,电力消耗非常低,人们也不太了解电子设备。大多数人喜欢用自然的方法来做饭、洗衣服、磨衣服、熨衣服和做其他事情。最近,随着配电系统中用户数量的增加,电力消耗也在增加。空调、洗衣机、风扇、电视、电饭煲、冰箱和其他电器的需求量很大。白天使用电扇、电视、炊事、电器、洗衣机时,负荷要求比夜间使用时要高。由于需求的不确定性,会造成电力损耗和低电压。本研究的主要目标是利用粒子群算法对配电变压器的接线进行优化,从而降低配电系统的功率损耗,并通过对DG组和电容器组的定位来实现功率补偿,并利用MATLAB软件对研究结果进行了分析。将后向扫描技术用于识别系统中总线的电压水平,并在IEEE 15总线系统上对所提出的方法进行了验证。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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