Solving optimal reactive power problem by Alaskan Moose Hunting, Larus Livens and Green Lourie Swarm Optimization Algorithms

Abstract

Abstract In this paper real power loss reduction is done by Alaskan Moose Hunting Optimization (AMHO) algorithm, Larus Livens Optimization (LLO) algorithm, Green Lourie Swarm (GLS) algorithm, Green Lourie Swarm (GLS) algorithm are used to solve the reactive power problem. Projected algorithm AMHO is based on the procedure of the hunting the Alaskan Moose done by the hunter. Once the most excellent positions have been determined then every individual in the population will try to reach that most excellent position then subsequently the procedure of modernization will start. With respect to the Alaskan Moose position the hunter will adjust the position. Each hunter will move towards the most excellent position but when there is unsuccessful move done by the leader ( X leader ) , other hunters will remain in the current location. Then Larus Livens Optimization (LLO) algorithm is applied to solve the problem. Larus Livens are normally yellow footed, they normally migrate season to season and also they possess attacking mode behavior to get the food. In general Larus Livens are searcher and hunter. They eat reptiles, small fish and so on. They have ability to catch the fish and also earth worms which concealed below the earth. In the projected algorithm two deeds of Larus Livens are mainly utilized to model the exploration and exploitation. Through migration Larus Livens will move to other places it has been modeled as Exploration in the proposed algorithm. Attacking behavior of the Larus Livens has been imitated to model the exploitation. Then Green Lourie Swarm (GLS) algorithm is applied to solve the problem. Proposed GLS algorithm has been modeled based on the social behavior of the Green Lourie bird. GLS algorithm has been formulated based on the foraging behavior, vigilance behavior and flight behavior. In the algorithm Periodic mode has been implemented to enhance the diversity of the swarm. At first Proposed AMHO, LLO, GLS algorithms is evaluated in IEEE 30 bus system with considering voltage stability index and in standard IEEE 14, 30, 57, 300 bus test systems without considering the voltage stability index. Real power loss minimization, voltage deviation minimization, and voltage stability index augmentation has been achieved.