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On multi-objective optimal reconfiguration of MV networks in presence of different grounding

机译:不同接地情况下MV网络的多目标最优重配置

摘要

The present work faces the traditional multi-objective optimal reconfiguration problem of a distribution grid including the safety issue in the objective functions. Actually, in many medium voltage networks still transformers with ungrounded neutral and with resonant grounded neutral coexist in the same area. This may be sometimes cause of problems during a single-line-to-ground fault if the ground electrodes of one or more cabins, initially designed for satisfying the safety conditions in a resonant grounded neutral network, after the reconfiguration are in a grounded neutral one or vice versa. In the paper a safety objective function is defined and the Non dominated Sorting Genetic Algorithm II used for solving the optimization problem formulated considering the minimization of the energy losses, the maximization of the load balancing among the transformers, and the minimization of the safety function. The safety function is defined both in the case of independent grounding systems and in the case of grounding systems interconnected by the metal shields of the cables. Also the effects of a Global Grounding System on the multi-objective reconfiguration problem so formulated are discussed. Finally a case study is analyzed presenting also a comparison between the Non dominated Sorting Genetic Algorithm II and a traditional Fuzzy Evolution Strategy algorithm.
机译:当前的工作面对配电网的传统多目标最优重构问题,其中包括目标函数中的安全问题。实际上,在许多中压网络中,中性点不接地和中性点接地的变压器仍然共存。如果一个或多个机舱的接地电极最初设计为在谐振接地中性网络中满足安全条件,而在重新配置后处于接地中性,则有时可能会在单线接地故障期间引起问题或相反亦然。在本文中,定义了一个安全目标函数,并使用非支配排序遗传算法II解决了优化问题,该优化问题考虑了能量损失的最小化,变压器之间的负载平衡的最大化以及安全性函数的最小化。在独立接地系统的情况下以及在通过电缆金属屏蔽层互连的接地系统的情况下,均定义了安全功能。还讨论了全球接地系统对如此制定的多目标重新配置问题的影响。最后,分析了一个案例研究,提出了非支配排序遗传算法II与传统模糊进化策略算法之间的比较。

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