Detection of the Most Suitable Method to Estimate Short-Circuit Parameter's Values of the Electric Facility

Short-circuit is a damaging event for electrical facilities and electric networks. Thus short circuit capacity of a main circuit breaker of an electrical facility must be determined correctly. Otherwise, then circuit breaker cannot cut shortcircuit current, and so protection and measuring elements are damaged. Primarily short-circuit parameter values of electric facility which will be connected to an electrical network must be determined correctly to determine short-circuit capacity of main circuit breaker of electric facility. In this study, short circuit parameter's values of electric facility were estimated by using clonal selection algorithm (CSA) and genetic algorithm (GA). The end of this study, accuracy rate of estimated short-circuit parameters with CSA and GA was compared. The best solution algorithm was determined for these problems.