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BPSO
- 粒子群算法用于电力系统的优化方面，如电网重构供电恢复等-Particle swarm algorithm for the optimization of the power system, such as network reconfiguration power is restored
33system
- 33节点的配电网重构程序，基于粒子群算法。相当快速。但是需要再修改源码才可以重新生成数据。-33 node distribution network reconfiguration procedures, based on particle swarm optimization. Pretty fast. But the need to modify the source code before they can re-generate the data.
2
- 配电网采用二进制粒子群算法进行重构，同时使用普通粒子群算法对接入的DG注入功率进行优化(The distribution network adopts binary particle swarm algorithm to refactor, and the DG injection power is optimized by using the general particle swarm algorithm)
综合程序所有计算结果和数据
- 用于配电网重构的粒子群算法。用了好久整理的(Particle swarm optimization for distribution network reconfiguration)
论文粒子群算法的程序和迭代收敛图
- 用于配电网重构的粒子群算法，可以给大家参考(Particle swarm optimization for distribution network reconfiguration)
IEEE33
- 用于配电网重构的粒子群算法，可以供大家参考(Particle swarm optimization for distribution network reconfiguration)
配电网粒子群算法
- 基于粒子群算法，直流潮流计算实现配电网网架结构重构(Reconfiguration of distribution network structure)
Network reconstruction
- 仿真配电网IEEE33节点，创建群粒子，然后判断是否为环路，利用粒子群算法对网络网络重构。(Simulate the IEEE33 node of the distribution network, create group particles, and then judge whether it is a loop, and use the particle swarm algorithm to reconstruct the network network.)
粒子优化群算法进行配电网络重构
- 配电网网络重构是配电系统极为重要的优化手段.以配电网网损最低为目标函数,结合约束条件确定配电网静态重构的数学模型,提出基于环路编码、分环替代的策略对配电网重构问题进行求解,最后结合IEEE-33节点算例,证明提出的算法,在降低搜索空间,提高寻优成功率和增加寻优效率上都有突出表现.(Distribution network reconfiguration is a very important means of optimization in distribution system. Taking