Hybrid Optimization Technique for Solving Economic Dispatch Problem: A Case Study of Nigerian Thermal Power System
Keywords:Economic Dispatch, Particle Swarm Optimization, Bat Algorithm, Hybrid Optimization Techniques, Generation Costs.
Economic Dispatch Problem (EDP) is a power system optimization problem that is required to be solved accurately using an efficient optimization technique. Hybrid optimization solutions have provided better optimum results than either deterministic or non-deterministic optimization methods. The hybridization of both Particle Swarm Optimization (PSO) and Bat Algorithm (BA) to for Hybrid Particle Swarm Bat Algorithm (H-PS-BA) optimization technique for solving EDP of Nigerian 21 thermal generating station power system was carried out in this work. The result of the work revealed that H-PS-BA performed better and gave the best optimal generation costs when compared to other methods such as PSO, Interior Point Method and BA.
K. Bhatacharjee, “Economic dispatch problem using backtracking search optimization”, International Journal of Energy Optimization and Engineering 7 (2018) 39.
D. Liu, & Y. Cai, “Taguchi method for solving the economic dispatch problem with nonsmooth cost functions”, IEEE Transactions on Power Systems 20 (2005) 2006.
M. A. Navid, I. Khodakhast, H. Mojtaba, & D. Abdolmohammad, “Solution of economic power dispatch problems by ant colony optimization approach”, International Journal of Mathematical and Computational Sciences 8 (2014) 1403.
D. N. Jeyakumar, T. Jayabarathi, & T. Raghunathan, “Particle swarm optimization for various types of economic dispatch”, Electrical Power and Energy Systems 28 (2006): 36.
C.L. Kumari, & V. K. Kamboj, “An e ective solution to single-area dynamic dispatch using improved chimp optimization”, E3S Web of Conferences 184 (2020) 1.
M. Fesanghay, & M. M. Ardehhali,” A novel metaheuristic optimization methodology for solving various types of economic dispatch problem”, Energy 34 (2009) 757.
K.T. Chaturvedi, M. Pandit, & L. Srivastava, “Particle swarm optimization with crazy particles for nonconvex economic dispatch”, Applied Soft Computing 9 (2009): 962.
M. A.Tawhid, & K. B. Dsouza, “Hybrid binary bat enhanced particle swarm optimization algorithm for solving feature selection problems”, Applied Computing and Information 16 (2020) 117.
D. Santra, “A. Modal, A. Mukherjee, study of economic load dispatch by various hybrid optimization techniques”, Studies in Computational Intelligence 611 (2016) 37.
P. Raju, K. Vaisakh, & S. Raju, “An IPM-EPSO based hybrid method for security enhancement using SSSC”, International Journal of Recent Trends in Engineering, 2 (2009) 208.
T. Pan, T. Dao, T. Nguyen, & S. Chu, “Hybrid particle swarm optimization with bat algorithm”, Proceedings of the 8th International Conference on Genetic and Evolutionary Computing, Nanchang, China, October, 18 – 20, 2015.
R. Al-Nahhal, A. F. Naiem, & Y. G. Hegazy, “Economic load dispatch problem using particle swarm optimization technique considering wind power penetration”, 2019 International Conference on Smart Energy and Technologies, Porto, Portugal (2019) 1.
X. Yang, “A new metaheuristic bat-inspired algorithm”, Studies in Computational Intelligence, 284 (2010) 65.
O. O. Ade-Ikuesan, O.E. Olabode, I.K. Okakwu, & M.O. Okelola, “Sate-of-the-art approach to economic load dispatch of nigerian hydrothermal electric power system: a review”, Journal of Science and Technology Research, 1 (2019) 87.
F. N. Al-Farsi, M. H. Albadi, N. Hosseinzadeh, & A. H. Badi, “Economic dispatch in power systems”, Proceedings of 8th IEEE GCC Conference and Exhibition, Muscat, Oman, 1 – 4, February, 2015.
A. S. Alayande, I. K. Okakwu, T. O. Akinbulire, J. T. Olowolaju, & O. O. Ade-Ikuesan, “A review of meta-heuristic approaches for solving optimal power dispatch problem in power networks”, Kufa Journal of Engineering 10 (2019) 89.
M. J. Mokarram, M. Gitizadeh, T. Niknam, & S. Niknam, “Robust and e ective parallel process to coordinate multi-area economic dispatch problem in the presence of uncertainty”, IET Generation, Transmission and Distribution 13 (2019) 4197.
M. A. Tijani, G. A. Adepoju, M. A. Sanusi, I. A. Bamikefa, & K. A. Hamzat, “Economic dispatch of Nigerian power system using interior point method”, Premier Journal of Engineering and Applied Sciences 1 (2020) 104.
V. K. Abanihi, & K. O. Ovabor, “economic load dispatch of nigerian integrated high voltage generation and transmission grid using bat algorithms”, nigerian journal of technology 38 (2019) 680.
J. N. Ndunuga, V. K. Abanihi, & S. Ikheloa, “Economic load dispatch of nigerioan power network using a hybrid evolutionary programming and efficient particle swarm optimization”, FUW Trends in Science and Technology Journal 4 (2019) 697.
How to Cite
Copyright (c) 2022 Gafari Abiola Adepoju, Muniru Olajide Okelola, Muhammed Adekilekun Tijani
This work is licensed under a Creative Commons Attribution 4.0 International License.
African Scientific Reports (ASR) is published under the Creative Commons Attribution 4.0 (CC BY-NC) license. This license was developed to facilitate open access, namely, it allows articles to be freely downloaded and to be re-used and re-distributed without restriction, as long as the original work is correctly cited. More specifically, anyone may copy, distribute or reuse these articles, create extracts, abstracts, and other revised versions, adaptations or derivative works of or from an article, mine the article even for commercial purposes, as long as they credit the author(s).