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Issue title: Digital transformation through advances in artificial intelligence and machine learning
Guest editors: Hasmat Malik, Gopal Chaudhary and Smriti Srivastava
Article type: Research Article
Authors: Devarapalli, Ramesha; b | Venkateswara Rao, B.c | Dey, Bishwajita | Vinod Kumar, K.d | Malik, H.e; * | García Márquez, Fausto Pedrof
Affiliations: [a] Department of EE, IIT (ISM), Dhanbad, Jharkhand, India | [b] Department of EE, B. I. T. Sindri, Dhanbad, Jharkhand, India | [c] Department of EEE, V R Siddhartha Engineering College, Vijayawada, India | [d] Department of EEE, GITAM Deemed University, Visakhapatnam, India | [e] EE Department, IIT Delhi, India | [f] Ingenium Research Group, University of Castilla-La Mancha, Spain
Correspondence: [*] Corresponding author. H. Malik, EE Department, IIT Delhi, India. E-mail: [email protected].
Abstract: Nowadays, improvement in power system performance is essential to obtaine economic and technical benifits. To achieve this, optimize the large number of parameters in the system based on optimal power flow(OPF). For solving OPF problem efficiently, it needs robust and fast optimization techniques. This paper proposes the application of a newly developed hybrid Whale and Sine Cosine optimization algorithm to solve the OPF. It has been implemented for optimization of the control variables. The reduction of true power generation cost, emission, true power losses, and voltage deviation are considered as different objectives. The hybrid Whale and Sine Cosine optimization is validated by solving OPF problem with various intentions using IEEE30 bus system. To varidate the proposed technique, the results obtained from this are compared with other methods in the literature. The robustness achieved with the proposed algorithm has been analyzed for the considered OPF problem using statistical analysis and whisker plots.
Keywords: Optimal power flow, sine cosine optimization, voltage deviation, whale optimization
DOI: 10.3233/JIFS-189763
Journal: Journal of Intelligent & Fuzzy Systems, vol. 42, no. 2, pp. 957-967, 2022
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