Enriched Firefly Algorithm for Solving Reactive Power Problem

In this paper, Enriched Firefly Algorithm (EFA) is planned to solve optimal reactive power dispatch problem. This algorithm is a kind of swarm intelligence algorithm based on the response of a firefly to the light of other fireflies. In this paper, we plan an augmentation on the original firefly algorithm. The proposed algorithm extends the single population FA to the interacting multi-swarms by cooperative Models. The proposed EFA has been tested on standard IEEE 30 bus test system and simulation results show clearly the better performance of the proposed algorithm in reducing the real power loss

Wolf Search Algorithm for Solving Optimal Reactive Power Dispatch Problem

This paper presents a new bio-inspired heuristic optimization algorithm called the Wolf Search Algorithm (WSA) for solving the multi-objective reactive power dispatch problem. Wolf Search algorithm is a new bio – inspired heuristic algorithm which based on wolf preying behaviour. The way wolves search for food and survive by avoiding their enemies has been imitated to formulate the algorithm for solving the reactive power dispatches. And the speciality  of wolf is  possessing  both individual local searching ability and autonomous flocking movement and this special property has been utilized to formulate the search algorithm .The proposed (WSA) algorithm has been tested on standard IEEE 30 bus test system and simulation results shows clearly about the good performance of the proposed algorithm

Rapid Particle Swarm Optimization Algorithm for Solving Optimal Reactive Power Dispatch Problem

In this paper Rapid Particle Swarm Optimization (RPSO) algorithm is proposed to solve the optimal    reactive    power     dispatch Problem. The Rapid Particle swarm Optimization (RPSO) algorithm is obtained by merging PSO with Cauchy mutation. Basic idea is to introduce the Cauchy mutation into PSO such that it prevents PSO from trapping into a local optimum through stretched jumps made by the Cauchy mutation. In order to evaluate the efficiency of the proposed algorithm, it has been tested on IEEE 30 bus system and compared other standard algorithms. Results show’s that RPSO is more efficient in reducing the real power loss and voltage index also improved

Blackfish Optimization Algorithm for Solving Reactive Power Problem

In this paper Blackfish Algorithm (BA) has been utilized to solve the optimal reactive power problem. BA is inspired from bubble net hunting strategy of the black fish. In this algorithm roulette wheel selection method has been used to improve the convergence rate. The proposed BA has been tested in standard IEEE 30 bus test system and simulation results show clearly about the better performance of the proposed algorithm in reducing the real power loss with control variables within the limits