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通过分布式发电的优化选型和选择性配置提高辐射状电力系统的电能质量。

Enhancing the power quality in radial electrical systems using optimal sizing and selective allocation of distributed generations.

作者信息

Bogno Bachirou, Goron Deli, Nicodem Nisso, Shanmugan S, Kidmo Kaoga Dieudonné, Khan Akhlaque Ahmad, Fouad Yasser, Aillerie Michel

机构信息

Faculty of Science, University of Garoua, Cameroon, Garoua, Cameroon.

Laboratoire Matériaux Optiques, Photonique et Systèmes (LMOPS), Université de Lorraine & CentraleSupélec, Metz, France.

出版信息

PLoS One. 2024 Dec 30;19(12):e0316281. doi: 10.1371/journal.pone.0316281. eCollection 2024.

DOI:10.1371/journal.pone.0316281
PMID:39775517
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11684694/
Abstract

Optimizing energy resources is a major priority these days. Increasing household energy demand often leads to the deterioration of poorly sized distribution networks. This paper presents a method for energy compensation and optimization in radial distribution systems (ORDS). By integrating distributed generations (DG), an approach is used to evaluate voltage and power profiles, as well as power losses on radial distributed systems (PLRDSs). After integrating distributed generations, improved voltage and power profiles are established. A potential solution to power compensation and blackouts (PCB) can also be the use of hybrid distributed generation systems (HDGSs) that reinforce radial distribution networks (RDNs) by improving power quality. Accordingly, a proposed configuration system is shown in this work to inject multiple renewable energy sources (MRES) from selected regulated nodes. The feasibility of the proposed system is evaluated using particle swarm optimization (PSO), which was used to locate stable nodes and locations, sensitive to voltage fluctuations. The proposed approach is based on the evaluation of the power losses and voltage profiles of the IEEE 33 bus and IEEE 69 bus standards This MATLAB-based method establishes an objective function that converges more quickly to the optimal results.

摘要

如今，优化能源资源是一项首要任务。家庭能源需求的增加往往会导致规模不当的配电网恶化。本文提出了一种用于辐射状配电系统（ORDS）的能量补偿与优化方法。通过整合分布式发电（DG），采用一种方法来评估辐射状配电系统（PLRDSs）的电压和功率分布以及功率损耗。整合分布式发电后，建立了改善后的电压和功率分布。功率补偿与停电（PCB）的一个潜在解决方案也可以是使用混合分布式发电系统（HDGSs），该系统通过改善电能质量来加强辐射状配电网（RDNs）。因此，本文展示了一种提议的配置系统，用于从选定的调节节点注入多种可再生能源（MRES）。使用粒子群优化（PSO）对提议系统的可行性进行评估，PSO用于定位对电压波动敏感的稳定节点和位置。所提出的方法基于对IEEE 33节点和IEEE 69节点标准的功率损耗和电压分布的评估。这种基于MATLAB的方法建立了一个能更快收敛到最优结果的目标函数。

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