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针对配电网设备检修计划优化模型,提出了一种新的优化算法。该混合智能算法将复合形法作为一个算子嵌入遗传算法内部,充分结合复合形法与遗传算法的优点,弥补复合形法与遗传算法自身存在的缺陷。通过算例计算,验证了该混合智能算法既有复合形法易收敛、局部寻优能力强的特点,又有遗传算法全局搜索能力强的特点。另外,通过算例结果比较,显示了混合智能算法与遗传算法相比在性能上的优越性。该混合智能算法的优化结果应用在配电网设备检修计划中,能很大程度上降低损耗,具有很好的经济应用价值。
Aiming at the optimization model of distribution system maintenance plan, a new optimization algorithm is proposed. The hybrid intelligent algorithm embeds the complex shape method as an operator inside the genetic algorithm and fully combines the advantages of the complex shape method and the genetic algorithm to make up for the defects of the complex shape method and the genetic algorithm itself. The results show that the hybrid intelligent algorithm has the characteristics of easy convergence and strong local search ability as well as strong global search ability of genetic algorithm. In addition, the comparison of the example results shows the superiority of the hybrid intelligent algorithm in comparison with the genetic algorithm. The hybrid intelligent algorithm optimization results applied to the distribution network equipment maintenance plan, to a large extent reduce losses, with good economic value.