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GA
- 基于遗传算法的配网重构 很适合初学者使用-Based on genetic algorithm with network reconfiguration
renconfiguration
- 含分布式电源的配网重构遗传算法 含基因环路编码 目标为网损最小-distributed generations
33bpso_ploss
- 以减小网损为目标的配电网重构问题求解，利用二进制粒子群优化算法(To solve the problem of distribution network reconfiguration with reduced network loss, binary particle swarm optimization algorithm is used.)
33节点配网重构
- 对IEEE 33节点配电网重构进行编程分析，适合初学者学习。(Program analysis of IEEE 33 node distribution network reconstruction for beginners to learn)
配电网络重构matlab代码
- 基于粒子群算法的配电网重构，可得到网损最小。(Based on the particle swarm optimization algorithm, the network loss can be minimized.)
基本粒子群 - 副本
- 对IEEE33节点系统进行配电网重构，利用基本粒子群迭代优化，采用前推回代计算潮流，有中文注释，是初学者必备的程序教程(Reconfiguration of the distribution network of the IEEE33 node system, using the basic particle swarm iterative optimization, using the pre-push back to the cal
配网故障恢复算法方法
- 实现配电网故障恢复和故障重构算法，文件算例是IEEE33节点系统(Implementation of fault recovery and fault reconstruction algorithms for distribution networks.File example is IEEE33 nodes system.)
配电网动态重构
- 有些配电网的动态重构，目标函数是电价等，程序中有注释(Some dynamic reconfiguration of distribution network, the objective function is the price of electricity, etc., there are notes in the program)