基于遗传算法的配电网可靠性重构

O. Kahouli, S. Boubaker, L. Kolsi
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引用次数: 1

摘要

本研究旨在确定配电网的最佳配置和拓扑结构。这个问题被认为是一个优化问题,要求在尊重各种约束的同时最小化标准。重构过程中考虑的目标函数是网络的不供能(ENS)。该目标函数的最小化可以提高网络拓扑的可靠性,ENS最小的拓扑是最可靠的。所需要的目标函数用数学表达式表示,该数学表达式用于所提出的优化算法。首先,给出了优化问题中需要考虑的目标函数和约束条件。然后,针对IEEE1-33母线配电系统,采用穷尽研究和遗传算法(GA)来解决这一问题。基于所获得的结果,利用遗传算法对各种配置进行优化,定性地提高了可靠性指标、过渡电流、电源电压和执行时间。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Distribution Network Reconfiguration for reliability Enhancement via Genetic Algorithm approach
This study aims to determine the optimal configurations and topologies of an electrical distribution network. This problem is considered an optimization problem that requires criteria to be minimized while respecting various constraints. The objective function considered in the reconfiguration process is the energy not supplied (ENS) to the network. The minimization of this objective function can increase the reliability of network topologies, and the topology with the minimum ENS is the most reliable. The required objective function is expressed using a mathematical expression, which is used in the proposed optimization algorithms. First, this paper presents the objective function and constraints to be considered in the optimization problem. Then, to solve this problem, we use exhaustive research and the genetic algorithm (GA) for an IEEE1-33 bus distribution power system. Based on the obtained results, the optimization of various configurations using the GA contributed qualitatively to improving the reliability index, transited currents, power supply voltage, and execution time.
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