摘要
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。
A new optimal algorithm is proposed for the optimal model of distribution device maintenance scheduling. In the hybrid intelligent algorithm, the complex method is embedded in the genetic algorithm, and is treated as one operator of the genetic algorithm. It sufficiently combines the advantages of the complex method and the genetic algorithm, and remedies the drawbacks of each algorithm. The practical example verifies that the hybrid intelligent algorithm has the characters of easy convergence and powerful local optimization of the complex method, and the powerful global search of the genetic algorithm. Through comparison of the example＇s results, the hybrid intelligent algorithm is verified to be effective. The application of the hybrid intelligent algorithm＇s optimal results to the device maintenance scheduling reduces the loss of the distribution grids.
出处
《现代电力》
2010年第1期22-25,共4页
Modern Electric Power
基金
北京市教委科技成果转化与产业化项目
关键词
电力系统
配电网
遗传算法
复合形法
检修计划
power system
distribution networks
genetic algorithm
complex method
maintenance scheduling
