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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: Venkateswara Rao, B.a | Devarapalli, Rameshb; c | Malik, Hasmatd; * | Bali, Sravana Kumare | García Márquez, Fausto Pedrof | Chiranjeevi, Tirumalasettyg
Affiliations: [a] Department of EEE, V R Siddhartha Engineering College, Vijayawada, India | [b] Department of EE, BIT Sindri, Dhanbad, Jharkhand, India | [c] Department of EE, IIT (ISM), Dhanbad, Jharkhand, India | [d] BEARS, University Town, NUS Campus Singapore | [e] Department of EEE, GITAM Deemed University, Visakhapatnam, India | [f] Ingenium Research Group, University of Castilla-La Mancha, Spain | [g] Department of EE, Rajkiya Engineering College Sonbhadra, Uttar Pradesh, India
Correspondence: [*] Corresponding author. H. Malik, Department of EE, IIT Delhi, India. E-mail: hmalik.iitd@gmail.com.
Abstract: The trend of increasing demand creates a gap between generation and load in the field of electrical power systems. This is one of the significant problems for the science, where it require to add new generating units or use of novel automation technology for the better utilization of the existing generating units. The automation technology highly recommends the use of speedy and effective algorithms in optimal parameter adjustment for the system components. So newly developed nature inspired Bat Algorithm (BA) applied to discover the control parameters. In this scenario, this paper considers the minimization of real power generation cost with emission as an objective. Further, to improve the power system performance and reduction in the emission, two of the thermal plants were replaced with wind power plants. In addition, to boost the voltage profile, Static VAR Compensator (SVC) has been integrated. The proposed case study, i.e., considering wind plant and SVC with BA, is applied on the IEEE30 bus system. Due to the incorporation of wind plants into the system, the emission output is reduced, and with the application of SVC voltage profile improved.
Keywords: Bat algorithm, emission, optimal power flow, SVC, wind power
DOI: 10.3233/JIFS-189770
Journal: Journal of Intelligent & Fuzzy Systems, vol. 42, no. 2, pp. 1041-1049, 2022
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