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A multi-objective network reconfiguration of distribution network with solar and wind distributed generation using NSPSO

机译:使用NSPSO的太阳能和风能分布式发电的配电网络多目标网络重构

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In this paper, network reconfiguration of distribution network with solar and wind generation is solved using non-dominated sorting particle swarm optimization (NSPSO). Three objective functions including system loss minimization, minimization of maximum voltage deviation and minimization of number of switching operations, are considered. The proposed NSPSO based algorithm has been tested on IEEE 33-bus radial distribution system. A comparison of network performance with respect to system loss and maximum voltage deviation for the three cases i.e., without network reconfiguration, with optimal but fixed network reconfiguration and with optimal but dynamic/adaptive network reconfiguration has been shown. The results indicate that better network performance is achieved from dynamic/adaptive network reconfiguration strategy than with other cases.
机译:本文利用非支配的排序粒子群优化算法(NSPSO)解决了具有太阳能和风能发电的配网网络重构问题。考虑了三个目标函数,包括系统损耗最小化,最大电压偏差最小化和开关操作次数最小化。该基于NSPSO的算法已在IEEE 33总线径向分配系统上进行了测试。在三种情况下,即没有网络重新配置,具有最佳但固定的网络重新配置以及具有最佳但动态/自适应的网络重新配置的情况下,已将网络性能相对于系统损耗和最大电压偏差进行了比较。结果表明,通过动态/自适应网络重配置策略可以实现比其他情况更好的网络性能。

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