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Enriched Firefly Algorithm for Solving Reactive Power Problem K. Lenin; B. Ravindhranath Reddy; M. Surya Kalavathi
Indonesian Journal of Electrical Engineering and Informatics (IJEEI) Vol 3, No 4: December 2015
Publisher : IAES Indonesian Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52549/ijeei.v3i4.175

Abstract

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.
Blackfish Optimization Algorithm for Solving Reactive Power Problem K. Lenin; B. Ravindhranath Reddy; M. Surya Kalavathi
Indonesian Journal of Electrical Engineering and Informatics (IJEEI) Vol 4, No 3: September 2016
Publisher : IAES Indonesian Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (135.41 KB) | DOI: 10.52549/ijeei.v4i3.222

Abstract

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.