Submit your paper : editorIJETjournal@gmail.com

Paper Title : Analysis of Grey Wolf Optimization GWO in Economic Load Dispatch Problem

ISSN : 2395-1303
Year of Publication : 2022
10.5281/zenodo.7220678

Authors: Someya Sharma, Dr. M. K. Bhaskar, Manish Parihar, P.R. Bheel

         


Abstract
This paper presents GWO flow diagram and algorithm for finding best values which update the generators. GWO algorithm establishes a relation as to how generating level is allocated to each power station analogus to the food divided amongst alpha, beta and delta wolves as per their hierarchy. This idea is tested and then applied to economic dispatch problems. By using IEEE 14 and IEEE 30 Bus system taking into account line impedances, half line charging susceptance, MVA rating the fuel cost coefficient and emission coefficient are calculated. generator power, Voltage at each bus, and transmission losses are also incorporated to find the Generated cost.

Reference
1. Bo Li and Jingwen Wang, “Economic Dispatch Methods for Smart Grid” School of Automation Engineering, Northeast Electric Power University, Jilin, China 07 December 2021 2. Widi Arbovo, “ Comparison Study on economic load dispatch using meta heuristic algorithm” Gazi university journal of science· March 2022 3. Jun Du, Zongnan Zhang, Menghan Li and Kongge Zhu, “Optimal scheduling of integrated energy system based on improved grey wolf optimization algorithm” School of Energy and Power, Jiangsu University 02 May 2022 4. Farshad resaei,hamid reza safavi, and Mohammed azmi “An Enhanced Grey Wolf Optimizer with a Velocity-Aided Global Search Mechanism ” 22 Jan 2022 5. Abdullah Alzaqebah, Ibarahim Aljarah and Omar AL qaidi “A Modified Grey Wolf Optimization Algorithm for an Intrusion Detection System” Department of Applied Informatics, Vytautas Magnus University, 44404 Kaunas, Lithuani Feb 2022 6. Sobia Pervaiz, Zia Ul-Qayyum,Waqas Haider Bangyal, Liang Gao, and Jamil Ahmad ,“A Systematic Literature Review on Particle Swarm Optimization Techniques for Medical Diseases Detection” 1Department of Computer Science, Abasyn University Islamabad Campus 2021 7. Tijani muhammed , Adepoju Gafari , Ayoade Morufu a., Afolalu Oladele f., Oladiran Taoeek a. “Economic load dispatch of Nigerian power system considering valve point loading effect through interior point method” Electrical &Electronic Engineering Department, Federal Polytechnic, Ede, Nigeria April 22 8. Manish Parihar, M.K. Bhaskar "Review of Power System Blackout" International Journal of Research and Innovation in Applied Science -IJRIAS vol.3 issue 6 June 2018, pp.08-13 URL: https://www.rsisinternational.org/journals/ijrias/DigitalLibrary/Vol.3&Issue6/08-13.pdf. 9. Emmanuel Gbenga DADA and Shafi'i Muhammad ABDULHAMID “Application of Grey Wolf Optimization Algorithm: Recent Trends, Issues,and Possible Horizons” GU J Sci 35(2): 485-504 (2022) 11 May 2021 10. Seyedali Mirjalili, Seyed Mohammad Mirjalili and Andrew Lewis, “Grey wolf optimizer” Department of Electrical Engineering, Shahid Beheshti University, G.C. 1983963113, Tehran, Iran 2013 Elsevier 11. MoumitaPradha, ProvasKumarRoy and Tandra Pal “Grey wolf optimization applied to economic load dispatch problems” Department of Electrical Engineering, Jalpaiguri Government Engineering College, Jalpaiguri, West Bengal, India 22April 2016 12. Nitish Chopra1, Gourav Kumar and Shivani Mehta “Hybrid GWO-PSO Algorithm for Solving Convex EconomicLoad Dispatch Problem” International Journal of Research in Advent Technology, Vol.4, No.6, June 2016 13. M.R. AlRashidi, and M.E. El-Hawary, “Survey of Particle Swarm Optimization Applications in Electric Power Systems,” IEEE transaction on evolutionary computation, vol. 13, no. 4, pp.913- 917, august 2009. 14. D. W. Ross and S. Kim, “Dynamic economic dispatch of generation,” IEEE Transaction on power Apparatus and Systems, vol.1, no. 6, pp.22- 28, 1980. 15. K.T. Chaturvedi, M. Pandit, and L. Srivastava, “Self-organizing hierarchical particle Swarm optimization for non-convex economic dispatch,” IEEE Transaction on power systems, pp.1079- 1087, 2008. 16. R. Rajabioum, “Cuckoo optimization algorithm, “Applied Soft Computing, pp.5508-5518, November 2011. 17. K.T. Chaturvedi, M. Pandit, and L. Srivastava, “Particle swarm optimization with time varying acceleration coefficients for non-convex economic power dispatch”, International Journal of Electrical and Power Energy System. pp.249–257, June 2009. 18. B.R. Adarsh, T. Raghunathan, T. Jayabarathi, X.S. Yang, “Economic dispatch using chaotic bat algorithm” Energy, pp. 666- 675, 2016. 19. G. Kumar, R. Singh, “Economic dispatch of power system optimization with power generation schedule using evolutionary technique,” International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering, vol. 3, Issue 7, pp.10715-10722, July 2014. 20. D.C. Walters, and G.B. Sheble, “Genetic algorithm solution of economic dispatch with valve point loading,” IEEE Transaction on power systems, pp.1325-1332, 199359. 21. Manish Parihar, M.K. Bhaskar, Dharmendra Jain, Digvijay Sarvate, Deepak Bohra."Voltage Stability Analysis of Power System using Power World Simulator", Volume 5, Issue XI, International Journal for Research in Applied Science and Engineering Technology (IJRASET) Page No: 2508-2515, ISSN : 2321-9653, http://doi.org/10.22214/ijraset.2018.11371. 22. El-Gallad, M. El-Hawary, A. A. Sallam, and A. Kalas, “Swarm intelligence for hybrid cost dispatch problem,” in Proceeding of the Canadian Conference on Electrical and Computer Engineering, vol. 2, pp. 753–757, 2001. 23. X.S. Yang, S.S.S. Hosseini, and A.H. Gandomi, “Firefly algorithm for solving nonconvex economic dispatch problems with valve loading effect,” Applied Soft Computing 2012, pp.1180- 1186. 24. M.H. Sulaiman, Z.N. Zakaria, M.I. Mohd-Rashid, and S.R.A. Rahim, “A new swarm intelligence technique for solving economic dispatch problem,” in Power Engineering and Optimization IEEE Conference, pp. 199-202, 2013. 25. J. Sun, V. Palade, X.J. Wu, W. Fang, and Z. Wang, “Solving the power economic dispatch problem with generator constraints by random drift particle swarm optimization,” IEEE Transaction on industrial Informatics, pp.222-232, 2014. 26. T.A.A. Victoire, and A.E. Jeyakumar, “Hybrid PSO-SQP for economic dispatch with Valve- point effect,” Electric Power Systems Research, pp.51-59, 2004.60 27. D. Swagatam, and P.N. Suganthan, “Problem definition and evaluation criteria for CEC 2011 competition on testing evolutionary algorithms on real world optimization problems,” Technical report, Dec 2010.
Keywords
— Economic Load Dispatch, Grey wolf optimization GWO, Power Systems, Optimization Techniques.