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Improvement of voltage sags indices by applying a reconfiguration technique based on genetic algorithms

机译:通过应用基于遗传算法的重构技术来改善电压骤降指数

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This paper presents an application of genetic algorithms to the improvement of voltage sags indices by reconfiguration of an electrical system. Considering known reference indices of voltage sags at system buses, the proposed methodology leads to a new configuration where the buses with previous indices of voltage sags outside the range of the reference values are reduced in order to minimize these values. In this paper, in order to streamline the solution process the Genetic Algorithm Matlab Toolbox® was used to solve the formulated optimization problem. The performance of the proposed methodology is assessed by means of case studies applied in the IEEE 24-bus Reliability Test System and in the IEEE 118-bus Test System.
机译:本文介绍了遗传算法在通过重新配置电气系统来改善电压暂降指数方面的应用。考虑到系统总线上的电压突降的已知参考指数,所提出的方法导致了一种新的配置,其中具有先前电压突降的指数在参考值范围之外的总线被减少以最小化这些值。在本文中,为了简化求解过程,使用了遗传算法MatlabToolbox®来解决公式化的优化问题。通过在IEEE 24-bus可靠性测试系统和IEEE 118-bus测试系统中应用的案例研究评估了所提出方法的性能。

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