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Research Article |

Improved Mayfly Algorithm for Optimizing Power Flow with Integrated Solar and Wind Energy

Author(s): Karthik Nagarajan, K. Balaji Nanda Kumar Reddy, Arul Rajagopalan*, NMG Kumar and Mohit Bajaj

Published In : International Journal of Electrical and Electronics Research (IJEER)        Volume 12, Issue 2

Publisher : FOREX Publication

Published : 30 April 2024

e-ISSN : 2347-470X

Page(s) : 415-420

DOI: https://doi.org/10.37391/IJEER.120212

Abstract

Across the globe, the transition towards sustainable energy systems necessitates seamless implementation of Renewable Energy Sources (RES) into traditional power grids. Such RESs include solar and wind power. The current research work intends to overcome the challenges associated with Optimal Power Flow (OPF) problem in power systems in which the traditional operation parameters ought to be optimized for effective and trustworthy integration of the RESs. The current study proposes an innovative nature-inspired approach by enhancing the Mayfly algorithm on the basis of mating behaviour of mayflies. The aim of this approach is to tackle the complexities introduced by dynamic and discontinuous nature of solar and wind power. The improved Mayfly algorithm aims at minimizing power losses, emission, optimize voltage profiles, and ensure reliable integration of solar and wind power. The current study outcomes provide knowledgeable insights towards power flow optimization in power systems with high penetration of renewable energy. The application results reveal that the improved mayfly algorithm achieved better efficacy compared to the classical mayfly algorithm and the rest of the optimization algorithms.

Keywords: Improved Mayfly Algorithm (IMA), Wind power, Solar Photovoltaic, Optimal Power Flow, Operation Cost, Voltage Deviation, Voltage Stability Index, Emission.




Karthik Nagarajan, Department of EEE, Hindustan Institute of Technology & Science, Chennai, Tamil Nadu, India; Email: nkarthik@hindustanuniv.ac.in

K. Balaji Nanda Kumar Reddy, Department of EEE, Annamacharya Institute of Technology & Sciences, Tirupati. India; Email: balajinkr@gmail.com

Arul Rajagopalan*, Centre for Smart Grid Technologies, School of Electrical Engineering, Vellore Institute of Technology, Chennai – Tamil Nadu, India; Email: arulphd@yahoo.co.in

NMG Kumar, Department of EEE, Mohan Babu University (Erstwhile Sree Vidynaikethan Engineering College), Tirupati, India;; Email: nmgkumar@gmail.com

Mohit Bajaj, Electrical Engineering Department, Graphic Era (Deemed to be University) Dehradun-248002, India; Email: thebestbajaj@gmail.com

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Karthik Nagarajan, K. Balaji Nanda Kumar Reddy, Arul Rajagopalan, NMG Kumar, Mohit Bajaj (2024), Improved Mayfly Algorithm for Optimizing Power Flow with Integrated Solar and Wind Energy. IJEER 12(2), 415-420. DOI: 10.37391/IJEER.120212.