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All Journal Indonesian Journal of Electrical Engineering and Informatics (IJEEI)
B. Ravindhranath Reddy
Jawaharlal Nehru Technological University Kukatpally
Computer Science & IT Electrical & Electronics Engineering

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Wolf Search Algorithm for Solving Optimal Reactive Power Dispatch Problem Kanagasabai Lenin; B. Ravindhranath Reddy; M. Surya Kalavathi
Indonesian Journal of Electrical Engineering and Informatics (IJEEI) Vol 3, No 1: March 2015
Publisher : IAES Indonesian Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52549/ijeei.v3i1.133

Abstract

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 Kanagasabai Lenin; B. Ravindhranath Reddy; M. Surya Kalavathi
Indonesian Journal of Electrical Engineering and Informatics (IJEEI) Vol 5, No 2: June 2017
Publisher : IAES Indonesian Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52549/ijeei.v5i2.268

Abstract

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.
Co-Authors Kanagasabai Lenin M. Surya Kalavathi