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首页> 外文期刊>Energy Conversion & Management >A fuzzy genetic approach for network reconfiguration to enhance voltage stability in radial distribution systems
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A fuzzy genetic approach for network reconfiguration to enhance voltage stability in radial distribution systems

机译：用于网络重构的模糊遗传方法，以增强径向配电系统中的电压稳定性

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摘要

This paper presents a fuzzy genetic approach for reconfiguration of radial distribution systems (RDS) so as to maximize the voltage stability of the network for a specific set of loads. The network reconfiguration involves a mechanism for selection of the best set of branches to be opened, one from each loop, such that the reconfigured RDS possesses desired performance characteristics. This discrete solution space is better handled by the proposed scheme, which maximizes a suitable optimizing function (computed using two different approaches). In the first approach, this function is chosen as the average of a voltage stability index of all the buses in the RDS, while in the second approach, the complete RDS is reduced to a two bus equivalent system and the optimizing function is the voltage stability index of this reduced two bus system. The fuzzy genetic algorithm uses a suitable coding and decoding scheme for maintaining the radial nature of the network at every stage of genetic evolution, and it also uses a fuzzy rule based mutation controller for efficient search of the solution space. This method, tested on 69 bus and 33 bus RDSs, shows promising results for the both approaches. It is also observed that the network losses are reduced when the voltage stability is enhanced by the network reconfiguration.
机译：本文提出了一种用于重新配置径向配电系统（RDS）的模糊遗传方法，以针对一组特定的负载最大化网络的电压稳定性。网络重新配置涉及一种机制，该机制用于从每个循环中选择要打开的最佳分支集，从而使重新配置的RDS具有所需的性能特征。提议的方案可以更好地处理这种离散的解决方案空间，该方案可以最大化合适的优化功能（使用两种不同的方法进行计算）。在第一种方法中，选择此函数作为RDS中所有总线的电压稳定性指标的平均值，而在第二种方法中，将完整的RDS简化为两总线等效系统，而优化函数是电压稳定性这样减少了两个总线系统的索引。模糊遗传算法使用合适的编码和解码方案在遗传进化的每个阶段都保持网络的径向特性，并且还使用基于模糊规则的变异控制器来有效地搜索解空间。该方法在69总线和33总线RDS上进行了测试，两种方法均显示出令人满意的结果。还观察到，当通过网络重新配置来增强电压稳定性时，网络损耗会降低。

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