机译:使用进化规划和遗传算法同时进行网络重新配置和DG大小调整,以最大程度地减少功率损耗
1.Faculty of Electrical Engineering University of Malaya 50603 Kuala Lumpur Malaysia 2.UM Power Energy Dedicated Advanced Centre (UMPEDAC) Level 4 Wisma R D University of Malaya 59990 Kuala Lumpur Malaysia 3.Department of Marine Electrical Engineering Malaysian Institute of Marine Engineering Technology Universiti Kuala Lumpur 32000 Perak Malaysia;
1.Faculty of Electrical Engineering University of Malaya 50603 Kuala Lumpur Malaysia 2.UM Power Energy Dedicated Advanced Centre (UMPEDAC) Level 4 Wisma R D University of Malaya 59990 Kuala Lumpur Malaysia;
1.Faculty of Electrical Engineering University of Malaya 50603 Kuala Lumpur Malaysia 2.UM Power Energy Dedicated Advanced Centre (UMPEDAC) Level 4 Wisma R D University of Malaya 59990 Kuala Lumpur Malaysia;
1.Faculty of Electrical Engineering University of Malaya 50603 Kuala Lumpur Malaysia 2.UM Power Energy Dedicated Advanced Centre (UMPEDAC) Level 4 Wisma R D University of Malaya 59990 Kuala Lumpur Malaysia;
4.Faculty of Electrical and Electronics Engineering Universiti Teknologi MARA 40450 Shah Alam Selangor Malaysia;
Distributed generation; Power loss reduction; Reconfiguration; Evolutionary programming; Genetic algorithm;
机译:基于重新排序方法的配电网重构最小功率损失的改进遗传算法
机译:基于再级方法的分布网络重新配置,改进的功率损耗遗传算法最小化
机译:在存在插入电动车辆中的DG进入径向分配网络的最佳整合,以最大限度地减少日常有源功率损耗,并使用生物启发优化算法改善系统的电压曲线
机译:具有同声最佳DG尺寸的分析方法径向分布网络中的主动功率损耗最小化
机译:基于图论算法的电网重新配置。
机译:使用自然启发算法优化多个DG单元的选址和选型以增强传输系统中的电压分布并降低损耗
机译:利用遗传算法(GA)在径向分布系统中增加电容器和分布式发电(DG)放置(DG)放置,用于增加功率输出有源DG(GA)
机译:遗传算法与进化规划