Enriched Lamprey Optimization Algorithm for Power Loss Diminution

In this paper Enriched Lamprey Optimization Algorithm (LOA) has been utilized to solve the optimal reactive power problem. Bubble net hunting tactic has been imitated to form the Lamprey Algorithm (LOA). Modernized solution is mainly depended on the current best candidate solution in Lamprey optimization algorithm (LOA). An inertia weight is introduced into Lamprey optimization algorithm alike in particle swarm optimization algorithm, to acquire the Enriched Lamprey optimization algorithm (LOA). Roulette wheel selection method has been used to perk up the convergence rate of proposed enriched Lamprey optimization algorithm (LOA). Humpback Lampreys will impulse within a recoil circle and spiral-shaped path concurrently. To model this concurrent performance, it has been assumed that there is a probability of ۵۰% to select between either the recoil surrounding mechanism otherwise the spiral model to modernize the position of Lamprey during optimization. The proposed LOA has been tested in standard ۳۰ bus system and simulation results show clearly about the better performance of the proposed algorithm in reducing the real power loss.

Keywords:

Optimal reactive power , Transmission loss , Lamprey Optimization