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用于配电系统中功率损耗最小化和电压分布改善的最优网络重构

Optimal network reconfiguration for power loss minimization and voltage profile enhancement in distribution systems.

作者信息

Salau Ayodeji Olalekan, Gebru Yalew Werkie, Bitew Dessalegn

机构信息

Department of Electrical/Electronics and Computer Engineering, Afe Babalola University, Ado-Ekiti, Nigeria.

Department of Electrical and Computer Engineering, Debre Markos University, Ethiopia.

出版信息

Heliyon. 2020 Jun 20;6(6):e04233. doi: 10.1016/j.heliyon.2020.e04233. eCollection 2020 Jun.

DOI:10.1016/j.heliyon.2020.e04233
PMID:32613115
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7322260/
Abstract

This paper presents an optimal method for optimizing network reconfiguration (NR) problems in a power distribution system (PDS) for the purpose of power loss reduction and voltage profile (VP) improvement. Furthermore, a modified algorithm was presented to address this problem in order to provide a more efficient PDS. Various works which used NR to improve VP and reduce power loss were discussed and summarized in detail. In particular, a modified Selective particle swarm optimization (SPSO) method was used for NR in existing networks considering different loading conditions. The main objective of this study is to minimize real power losses and enhance VP of a distribution system using the proposed SPSO method. The SPSO method was programmed in MATLAB R2016b software and tested using IEEE 33-bus radial distribution system (RDS). The obtained test results show that the real power was enhanced by 99.341%, 97.289%, and 95.389% for the light, normal, and heavy load conditions, respectively. Also, the minimum voltage level in the worst case was significantly enhanced from 0.8841 p.u. to 0.9510 p.u. Towards the end, a comparative analysis of the proposed SPSO with existing methods for distribution network reconfiguration (DNR) is presented. The comparative results show that the proposed SPSO was found to be more efficient in reducing voltage deviation (VD) and power losses in the system.

摘要

本文提出了一种优化配电系统(PDS)中网络重构(NR)问题的最优方法,旨在降低功率损耗并改善电压分布(VP)。此外,还提出了一种改进算法来解决该问题,以提供更高效的配电系统。详细讨论并总结了各种利用网络重构来改善电压分布和降低功率损耗的工作。特别是,针对现有网络,在考虑不同负载条件的情况下,采用了一种改进的选择性粒子群优化(SPSO)方法进行网络重构。本研究的主要目标是使用所提出的SPSO方法,使配电系统的有功功率损耗最小化,并提高其电压分布。SPSO方法在MATLAB R2016b软件中进行编程,并使用IEEE 33节点辐射状配电系统(RDS)进行测试。获得的测试结果表明,对于轻载、正常负载和重载条件,有功功率分别提高了99.341%、97.289%和95.389%。此外,在最坏情况下的最低电压水平也从0.8841标幺值显著提高到0.9510标幺值。最后,对所提出的SPSO方法与现有配电网重构(DNR)方法进行了对比分析。对比结果表明,所提出的SPSO方法在降低系统电压偏差(VD)和功率损耗方面更有效。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4818/7322260/5264373492ac/gr8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4818/7322260/2bf691e6d1d2/gr1.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4818/7322260/76f310c40383/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4818/7322260/e5aba49a238a/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4818/7322260/1be0acdcc745/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4818/7322260/c810544e5722/gr7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4818/7322260/5264373492ac/gr8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4818/7322260/2bf691e6d1d2/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4818/7322260/6af24fa46e34/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4818/7322260/526d8af8484f/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4818/7322260/76f310c40383/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4818/7322260/e5aba49a238a/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4818/7322260/1be0acdcc745/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4818/7322260/c810544e5722/gr7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4818/7322260/5264373492ac/gr8.jpg

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