relation: https://khub.utp.edu.my/scholars/20129/
title: Generation Cost Minimization in Microgrids Using Optimization Algorithms
creator: Lakhina, U.
creator: Elamvazuthi, I.
creator: Badruddin, N.
creator: Jangra, A.
creator: Huy, T.H.B.
creator: Guerrero, J.M.
description: Optimization methods are applied to discover a near optimal or optimal solution for any distinguished problem. Many researchers have applied different optimization techniques on microgrids for cost optimization. In this paper, an improved multi-verse optimizer algorithm is proposed for generation cost minimization in microgrids. Two modifications are done in the original algorithm for solving local optima problem and improving exploration and exploitation process. Local optima problem is solved using average positioning and universe position updating equation is improved by hybridizing it with sine�cosine algorithm. Thus, the simulation results reported by the investigated algorithms show that the proposed algorithm outperforms the other algorithms in minimizing generation cost and reducing computation time. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.
publisher: Springer Science and Business Media Deutschland GmbH
date: 2024
type: Article
type: PeerReviewed
identifier:   Lakhina, U. and Elamvazuthi, I. and Badruddin, N. and Jangra, A. and Huy, T.H.B. and Guerrero, J.M.  (2024) Generation Cost Minimization in Microgrids Using Optimization Algorithms.  Lecture Notes in Electrical Engineering, 1116.  pp. 111-124.  ISSN 18761100     
relation: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85187788290&doi=10.1007%2f978-981-99-8646-0_10&partnerID=40&md5=26ccda5ca498b76300e36eb5db4b01b2
relation: 10.1007/978-981-99-8646-0₁₀
identifier: 10.1007/978-981-99-8646-0₁₀