文件名称:69
- 所属分类：
- 人工智能/神经网络/遗传算法
- 资源属性：
- [Matlab] [源码]
- 上传时间：
- 2015-12-05
- 文件大小：
- 340kb
- 下载次数：
- 0次
- 提 供 者：
- y**
- 相关连接：
- 无
- 下载说明：
- 别用迅雷下载，失败请重下，重下不扣分！
介绍说明－－下载内容均来自于网络，请自行研究使用
含有DG配电网重构，基于小波神经网络优化电网损耗并且考虑了电压降落和电压偏移多目标-DG containing distribution network reconfiguration, optimize network losses wavelet neural network and considering the voltage drop and voltage offset multi-target
(系统自动生成,下载前可以参看下载内容)
下载文件列表
含各种节点重构比较69
....................\fbm.m
....................\fitness.m
....................\fitness_PI2.asv
....................\fitness_PI2.m
....................\fitness_PIPQ.asv
....................\fitness_PIPQ.m
....................\fitness_PIPQVPQ.m
....................\fitness_PIPQVPQPV.m
....................\fitness_PQ2.asv
....................\fitness_PQ2.m
....................\fitness_PQPQV.m
....................\fitness_PQV.m
....................\fitness_PQV2.asv
....................\fitness_PQV2.m
....................\fitness_PQVPI.asv
....................\fitness_PQVPI.m
....................\fitness_PQVPQ.asv
....................\fitness_PQVPQ.m
....................\fitness_PQVPV.asv
....................\fitness_PV2.asv
....................\fitness_PVPQ.asv
....................\get_psoOptions.m
....................\infesible ratio.asv
....................\infesible_ratio.m
....................\powflow_guan.m
....................\psoOptions.m
....................\QPSO.m
....................\QPSOmain.asv
....................\QPSOmain.m
....................\quxian_plot.asv
....................\quxian_plot.m
....................\不考虑越限转换含PV重构
....................\......................\fbm.m
....................\......................\fitness_PQVPV.m
....................\......................\fitness_PV2.m
....................\......................\fitness_PVPI.m
....................\......................\fitness_PVPQ.m
....................\......................\get_psoOptions.m
....................\......................\psoOptions.m
....................\......................\QPSO.m
....................\......................\QPSOmain.m
....................\考虑PVPQPV越限转换含PV重构
....................\..........................\fbm.m
....................\..........................\fitness_multiPVtransPQPV.asv
....................\..........................\fitness_multiPVtransPQPV.m
....................\..........................\fitness_PQVPVtransPQPV.m
....................\..........................\fitness_PV2TransPQ.m
....................\..........................\fitness_PV2transPQPV.asv
....................\..........................\fitness_PV2transPQPV.m
....................\..........................\fitness_PVPItransPQPV.m
....................\..........................\fitness_PVPQPVTransform.m
....................\..........................\fitness_PVPQTransform.asv
....................\..........................\fitness_PVPQTransform.m
....................\..........................\fitness_PVPQtransPQ.m
....................\..........................\fitness_PVPQtransPQPV.asv
....................\..........................\fitness_PVPQtransPQPV.m
....................\..........................\get_psoOptions.m
....................\..........................\multiPVs.asv
....................\..........................\multiPV_powflowtransPQPV.m
....................\..........................\powflow_guan.m
....................\..........................\psoOptions.m
....................\..........................\PV1PVPQpowflow.m
....................\..........................\PV1PVPQPVpowflow.m
....................\..........................\QPSO.m
....................\..........................\QPSOmain.m
....................\考虑含PV越限惩罚因子的重构
....................\..........................\fitness_PV2transPQPV.asv
....................\..........................\QPSO.asv
....................\..........................\仅将越限PV电压达不到满足的粒子丢弃而不改变QPSO内核
....................\..........................\..................................................\fbm.m
....................\..........................\..................................................\fitness_multiPVtransPQPV.m
....................\..........................\..................................................\fitness_PV2transPQPV.m
....................\..........................\..................................................\fitness_PVPQtransPQPV.m
....................\..