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Artificial bee colony algorithm solution for optimal reactive power flow

机译：最优无功潮流的人工蜂群算法求解

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摘要

Artificial bee colony (ABC) algorithm is an optimization algorithm based on the intelligent foraging behavior of honeybee swarm. Optimal reactive power flow (ORPF) based on ABC algorithm to minimize active power loss in power systems is studied in this paper. The advantage of ABC algorithm is that it does not require these parameters, because it is very difficult to determine external parameters such as cross over rate and mutation rate as in case of genetic algorithm and differential evolution. The other advantage is that global search ability of the algorithm is implemented by introducing a neighborhood source production mechanism which is similar to mutation process. Because of these features, ABC algorithm attracts much attention in recent years and has been used successfully in many areas. ORPF problem is one of these areas. In this paper, proposed algorithm is tested on both standard IEEE 30-bus test system and IEEE 118-bus test system. To show the effectiveness of proposed algorithms, the obtained results are compared with different approaches as available in the literature.
机译：人工蜂群（ABC）算法是一种基于蜜蜂群智能觅食行为的优化算法。研究了基于ABC算法的最优无功潮流（ORPF），以最大程度地降低电力系统的有功功率损耗。 ABC算法的优点是不需要这些参数，因为像遗传算法和差分进化一样，很难确定诸如交叉率和变异率之类的外部参数。另一个优点是算法的全局搜索能力是通过引入类似于变异过程的邻域源生成机制来实现的。由于这些特性，ABC算法近年来引起了广泛关注，并已在许多领域成功使用。 ORPF问题是这些领域之一。本文在标准的IEEE 30总线测试系统和IEEE 118总线测试系统上对提出的算法进行了测试。为了显示所提出算法的有效性，将获得的结果与文献中可用的不同方法进行了比较。

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