Factual power loss lessening by synthetic supportive exploration algorithm

In this work an innovative synthetic supportive exploration (SSE) algorithm is utilized for solving optimal reactive power problem. Projected based on communication between two simulated fabulous creatures as both of them intermingle and voyage to altered zones find comprehensive minimum. a definite zone according the climate altering conditions amount food can be found will varied. Due reason, develop seasonal exodus deeds out improved sources. Earlier divide into subgroups in order source. Coordination sub-groups determine performance search. Communication are key creatures. Also, make decision marauder prey by sub creature. Proposed has been tested IEEE 14 300 bus systems. Real loss reduction achieved.