Fuzzy based Locust Swarm Algorithm for Identification operating state of Electrical Energy System with Multiple units

This paper presents, modified locust search algorithm for identification of abnormal operation using a fuzzy control in integrated electrical energy system. Fuzzy membership modifies the locust search and hence proposed fuzzy based locust search algorithm (FB-LOA) is develop for power control in a electrical energy system. Search position of modified locust swarm calculated by the membership for every instant of swarm search control. Control for each locust swarm instant, particle distance d between two adjacent particles is calculated and continuous update the proposed locust search instant. Proposed locust search initiate the conformation of trip signal from distributed generator (DG) circuit trigger pulses under any normal operating event (NOEV) or abnormal operating event (ABEV). Electrical energy system state with two local energy source units is verified with proposed method.