PMOGA应用于配电系统自动重合闸分配问题

Guilherme Pauli, Edison Antonio Cardoso Aranha Neto, D. Tenfen
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引用次数: 0

摘要

随着配电服务质量的不断提高,配电系统的规划是配电公司面临的重要挑战。在最近的文献中,使用开关和保护装置可以提高配电服务的质量,从而提高系统的可靠性指标。这项工作的主要目的是提出一个模型,通过多目标遗传算法(MOGA)在配电馈线中优化分配闭锁器,该模型通过详尽的研究进行建模和验证,在可能的情况下,由于计算限制,证明其有效性。在这些可能性中,我们选择了Pareto多目标优化遗传算法(PMOGA)。然后,将所开发的方法应用于实际馈电系统中。最后得出结论,所提出的重合闸分配模型足以解决这一问题,并对可靠性产生积极影响,可用于目前大多数配电网。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
PMOGA Aplicado ao Problema de Alocação de Religadores Automáticos em Sistemas de Distribuição Elétrica
The planning of electrical distribution systems is essential and achallenge for Electric Power Distribution Companies along withthe need to improve the quality of the energy distribution service.As presented in the recent literature, the use of switches andprotection devices can improve the quality of the electricitydistribution service and, thus, system reliability indices. The mainobjective of this work is to propose a model to optimally allocatereclosers in distribution feeders with a Multi-Objective GeneticAlgorithm (MOGA) that is modeled, validated by exhaustivesearch, when possible, due to computational limitation, proving itseffectiveness. Among the possibilities, the Pareto Multi-objectiveOptimization Genetic Algorithm (PMOGA) was chosen for thiswork. Then, the developed methodology was applied in real feederswith and without Distributed Generation. Finally, it is concludedthat the proposed model for the allocation of reclosers is adequateto solve the problem and positively affects the reliability and canbe used in most of the current electricity distribution networks.
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