A Study on Comparison between Thermal and Hydro-thermal ELD Using Metaheuristics Technique
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Abstract
This paper presents for the first-time, application of Moth Flame Optimization and Bat Algorithm (MFO-BA) for optimal scheduling of thermal and hydro-thermal systems in a simulated environment. Results of three test systems (4-unit, 5-unit and 6-unit) comprising seven test cases as different combinations of fixed-head hydro units and thermal units with and without losses are presented to demonstrate the performance of the hybrid MFO-BA algorithm. The test results comprehensively establish the advan- tage and overall effectiveness of the hydro-thermal system over thermal-only system in terms of load dispatch and economy of generation cost and transmission loss. The present study can help find the most economic scheduling of hydro-thermal generating units using hybrid soft computing approach.
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References
D.P. Kothari and J.S. Dhillon, Power System Optimization, 2nd ed., Prentice-Hall of India PHI Learning Private Limited, New Delhi, 2012.
A. J. Wood and B.F. Wollenberg Power Generation, Operation and Control, John Wiley and Sons, pp. 592. 1996.
L. Jebaraj, C. Venkatesan, and I. Soubache, “Application of differential evolution algorithm in static and dynamic economic or emission dispatch problem: A review,” Renewable and Sustainable Energy Reviews, Vol.77, No.1, pp.1206-1220, 2017.
L. Lakshminarasimman and S. Subramanian, “Short-term scheduling of hydrothermal power system with cascaded reservoirs by using modified differential evolution,” IEE Generation, Transmission and Distribution, Vol.153, No. 6, pp.693-700, 2006.
L. Mellouk, M. Boulmalf and A. Aaroud, “Genetic algorithm to solve demand side management and economic dispatch problem,” Proceedings of 9th International Conference on Ambient Systems, Networks and Technologies, Procedia Computer Science, Vol.130, pp.611–618, 2018.
S. Hazra and P. K. Roy, “Optimal Dispatch using Moth-Flame Optimization for Hydro-Thermal-Wind Scheduling Problem,” International Transactions on Electrical Energy Systems, Vol. 30, No. 8, pp.1-24, 2020.
S.Ghosh, M.Kaur, S.Bhullar and V. Karar “Hybrid ABC-BAT for Solving Short-Term Hydrothermal Scheduling Problems,” Energies, Vol. 12, No.3, pp.1-15, 2019.
M. E. El-Hawary and D. H. Tsang, “The Hydrothermal Optimal Load Flow, A Practical Formulation and Solution Techniques Using Newton's Approach,” IEEE Transactions on Power Systems, Vol. 1, No 3, pp. 157-166, 1986.
M. E. El-Hawary, and K.M. Ravindranath,“Optimal operation of variable head hydro-thermal systems using the Glimn-Kirchmayer model and the Newton-Raphson method,” Electric Power Systems Research, Vol. 14, No 1, pp. 11-22, 1988.
S. Mirjalili, “Moth-Flame Optimization Algorithm : A Novel Nature-inspired Heuristic Paradigm”, Knowledge-Based Systems, Vol. 89, pp. 228-249, 2015.
X. S. Yang, Engineering Optimization: An Introduction with Metaheuristic Applications, John Wiley and Sons, New Jersey, 2010.
Y. A. Gherbi, H. Bouzeboudja and F. Lakdja “Economic Dispatch Problem using Bat Algorithm,” Leonardo Journal of Sciences, Vol.1, No. 24, pp. 75-84, 2014
P. Richardson, Bats. Natural History Museum, London, 2008.
X-S. Yang, Nature-Inspired Optimization Algorithms, Elsevier Insights , First. Ed. London, 2014.
M. Sudhakaran, P. A-D-Vimal Raj and T.G. Palanivelu “Application of Particle Swarm Optimization for Economic Load Dispatch Problems,” Proceedings of 14th International Conference on Intelligent System Applications to Power Systems, pp. 668-674.
T. Jayabarathi, S. Chalasani, Z A Shaik and N. D. Kodali, “Hybrid Differential Evolution and Particle Swarm Optimization Based Solutions to Short Term Hydro Thermal Scheduling,” WSEAS Transactions on power systems, Vol.2, No.11, pp-245-254, 2007.
S. Khanmohammadi, M. Amiri, and M.T. Haque,“A new three-stage method for solving unit commitment problem,” Energy, Vol. 35, No.7, pp.3072 – 3080, 2010.
I. A. Farhat and M. E. El-Hawary, “Short-term hydro-thermal scheduling using an improved bacterial foraging algorithm,” Proceedings of IEEE Electrical Power & Energy Conference (EPEC), Canada, pp. 1–6, 2009.
D. Santra, K.Sarker, A.Mukherjee and A.Mondal, “Hybrid PSO-ACO technique to solve multi-constraint economic load dispatch problems for 6-generator system,” International Journal of Computers and Applications, Vol. 38, No. 2-3, pp.96-115, 2016.
T. T. Nguyen, D. N. Vo and A. V. Truong, “Cuckoo search algorithm for short-term hydrothermal scheduling,” Applied Energy, Vol.132, No.1, pp. 276–287, 2014.