University of Mohaghegh Ardabili Journal of Operation and Automation in Power Engineering 2322-4576 8 3 2020 12 01 Estimation of New Weighted Controlled Switching Overvoltage by RBFN Model تخمین اضافه ولتاژ وزندار جدید برای کلید کنترل لحظه وصل با استفاده از مدل شبکه مصنوعی شعاعی 234 244 915 10.22098/joape.2020.6987.1508 EN M. Hasanpour Department of Electrical Engineering, Gorgan Branch, Islamic Azad University, Gorgan, Iran M. Ghanbari Department of Electrical Engineering, Gorgan Branch, Islamic Azad University, Gorgan, Iran V. Parvin-Darabad Department of Electrical Engineering, Gorgan Branch, Islamic Azad University, Gorgan, Iran Department of Electrical Engineering, Golestan University, Gorgan, Iran Journal Article 2020 02 22 Mitigating switching overvoltages (SOVs) and conducting well-suited insulation coordination for handling stresses are very important in UHV transmission Lines. The best strategy in the absence of arresters is controlled switching (CS). Although elaborate works on electromagnetic transients are considered in the process of designing transmission systems, such works are not prevalent in day-to-day operations. The power utility and/or operator have to carefully monitor the peak values of SOVs so this values not to exceed the safe limits. In this paper, we present a novel CS approach in dealing with EMTP/ATP environment, where trapped charge (TC) is intended to train a radial basis function network (RBFN) meta-model that is implemented to calculate SOVs. A new weighted maximum overvoltage factor proposed to find locations of critical failure risk due to SOVs occurred along transmission lines. Power utilities or design engineers can benefit from the presented meta-model in designing a well-suited insulation level without spending time for taking into account the feasible risk value. Besides, the operators can energize the lines sequentially upon their choice; i.e., a safe and proper energization. https://joape.uma.ac.ir/article_915_08296c5e92b21d0612a6d879486684e0.pdf