Enhanced Canvasback Swarm Algorithm for Active Power Loss Diminution and Voltage Stability Enhancement

Enhanced Canvasback swarm (ECS) algorithm is based on the examining activities of the Canvasback and in order to expand the exploration capability, canvasback swarm algorithm has been integrated with gemsbok optimization algorithm. In the exploration section canvasback queuing around the food spring region and canvasback disperses in that specific region for searching the food. Canvasback completes the search after food springs are identified and canvasback will be positioned rendering to the accessibility condition of the food springs and fitness value computed in that location. Location changing during foraging and excavating behaviour of gemsbok has been considered in the design of the gemsbok optimization algorithm. Gemsbok has a high capability of tracking rain and identifies regions of vegetation in the foraging conditions. Gemsbok owns high skill in excavating to take rest in a particular place. Design of the algorithm exploration grounded on foraging procedure of the gemsbok and exploitation is modeled based on excavating ability of the Gemsbok. Enhanced Canvasback swarm (ECS) algorithm validated in IEEE 30, 57 systems.