جايابي و تعيين اندازه بهينه محدود كننده‌هاي جريان خطا با رويكرد افزايش تاب آوري در شبكه هاي توزيع

Abstract The increasing short-circuit levels in distribution networks an‎d the limited interruption capability of protective devices highlight the need for effective olutions to control fault currents an‎d enhance system resilience. Fault current limiters (FCLs), particularly series reactors, are among the most efficient devices for mitigating short-circuit currents an‎d reducing the thermal an‎d electrical stress imposed on protective equipment. This research presents an optimization framework for the optimal placement an‎d sizing of FCLs with the aim of improving the resilience of distribution networks. In the proposed method, network performance eva‎luation is carried out through a file-based software linkage between MATLAB an‎d DIgSILENT, nabling coordinated execution of power-flow, short-circuit, an‎d optimization routines. To capture operational uncertainties, the Monte Carlo method is mployed to generate a wide set of scenarios involving fault location, fault severity, an‎d load level. Representative scenarios are then extracted using the K-means clustering algorithm. Subsequently, the Particle Swarm Optimization (PSO) algorithm, with a three-part decision vector (installation indicator, ated capacity, an‎d reactance of FCLs), is utilized to simultaneously minimize two indices: Expected Energy Not Supplied (EENS) an‎d breaker failure risk. A case study is conducted on the 33-kV section of the stan‎dard IEEE 14-Bus network. The results demonstrate that the proposed approach ignificantly reduces fault current levels, decreases EENS, an‎d substantially enhances system resilience. Furthermore, the comparison between the base case ithout FCLs) an‎d the optimized configuration confirms the effectiveness of the selec‎ted installation sites an‎d ratings of the FCLs.

احسان آزاد فارساني , امير حسيني

حميدرضا عبدالمحمدي , محمداسماعيل نظري