Multi-Objective Optimal Power Dispatch For The Nigerian Power Network
Keywords:
Multi-Objective Evolutionary Algorithm, Economic dispatch, Loss formula, Non-dominated solution, Pareto-optimalAbstract
This paper solves the multi-objective optimal power dispatch problem with fuel cost and transmission loss as competing objectives. The elitist Non-dominated Sorting Genetic Algorithm (NSGA-II) with the Nigerian 24-bus hydrothermal power system network data set have been used in this study. The better performance of the NSGA-II over both micro-GA and conventional GA approaches used in earlier studies on the Nigerian network has been demonstrated.
References
Abido, M. A. “Multiobjective Evolutionary Algorithms for Electric Power Dispatch Problem”. IEEE Trans. Evol. Comput. 10(3): 315–329, 2006.
Abido, M. A. and Bakhashwain, J. M. “Optimal VAR Dispatch Using a Multiobjective Evolutionary Algorithm”. Int’l. Journ. of Elect. Power and Energy Systems, 27(1): 13-20, 2005.
Ah-King, R. T. F.; Rughooputh, H. C. S. and Deb, K. “Evolutionary Multi-objective Environmental/ Economic Dispatch: Stochastic vs Deterministic Approaches”. KanGAL, Tech. Rep. 2004019, 2004.
Al-Hulail, M. M. I. “Optimal Power Flow with FACTS Devices,” Unpublished M.Sc. Thesis, King Fahd University of Petroleum and Minerals, 2004.
Bakare, G. A.; Aliyu, U. O. and Venayagamoorthy, G. K. “Genetic Algorithms Based Economic Dispatch with Application to Coordination of Nigerian Thermal Power Plants,” IEEE Power Eng. Society General Meeting, 1(1): 551-556, 2005.
Chang, C. S.; Wong, K. P. and Fan, B. “Security-Constrained Multi-objective Generation Dispatch using Bi-criterion Global Optimization”, Proc. Inst. Elect. Eng.-Gen. Transm. Dist. 142(4): 406-414, 1995.
Da Silva, A. M. L. and De Carvalho-Costa, J. G. “Transmission Loss Allocation: Part I – Single Energy market”, IEEE Trans. Power Syst., 18(4): 1389-1394, 2003.
Deb, K. “Multiobjective Optimization using Evolutionary Algorithms”. John Wiley and Sons Ltd., 2001.
Deb, K., Pratap, A., Agarwal, S. and Meyarivan, T. “A Fast and Elitist Multiobjective Genetic Algorithm: NSGA-II,” IEEE Trans. Evol. Comput. 6(2): 182–197, 2002.
Dhillon, J. S., Parti, S. C. and Kothari, D. P. “Stochastic Economic Emission Load Dispatch” Electric Power Syst. Res., 26(3): 179-186, 1993.
El-Ela, A. A. A. and Abido, M. A. “Optimal Operation Strategy for Reactive Power Control,” in Modelling, Simulation and Control: AMSE Press, pt. A, 41(3):19-40, 1992
Fonseca, C. M. and Fleming, P. J. “An Overview of Evolutionary Algorithms in Multiobjective Optimization,” Evol. Comput. 31(3): 337-368, 1999.
Haruna, Y. S. “Comparison of Economic Load Dispatch Using Genetic Algorithm and Other Optimization Methods,” Unpublished M.Eng. Thesis, A. T. B. University, Bauchi, 2003.
Knowles, J., Corne, D. and K. Deb, K., “Multiobjective Problem Solving from Nature- From Concepts to Applications”. Springer, 2008.
Wudil, T. S. G. “Development of Loss Formula for NEPA Transmission Network,” Unpublished M.Eng. Thesis, A. T. B. University, Bauchi, 2004.
Yokoyama, R., Bae, S. H., Morita, T. and Sasaki, H. “Multi-objective Generation Dispatch based on Probability Security Criteria,” IEEE Trans. Power Syst., 3(1): 317-324, 1988
Abido, M. A. and Bakhashwain, J. M. “Optimal VAR Dispatch Using a Multiobjective Evolutionary Algorithm”. Int’l. Journ. of Elect. Power and Energy Systems, 27(1): 13-20, 2005.
Ah-King, R. T. F.; Rughooputh, H. C. S. and Deb, K. “Evolutionary Multi-objective Environmental/ Economic Dispatch: Stochastic vs Deterministic Approaches”. KanGAL, Tech. Rep. 2004019, 2004.
Al-Hulail, M. M. I. “Optimal Power Flow with FACTS Devices,” Unpublished M.Sc. Thesis, King Fahd University of Petroleum and Minerals, 2004.
Bakare, G. A.; Aliyu, U. O. and Venayagamoorthy, G. K. “Genetic Algorithms Based Economic Dispatch with Application to Coordination of Nigerian Thermal Power Plants,” IEEE Power Eng. Society General Meeting, 1(1): 551-556, 2005.
Chang, C. S.; Wong, K. P. and Fan, B. “Security-Constrained Multi-objective Generation Dispatch using Bi-criterion Global Optimization”, Proc. Inst. Elect. Eng.-Gen. Transm. Dist. 142(4): 406-414, 1995.
Da Silva, A. M. L. and De Carvalho-Costa, J. G. “Transmission Loss Allocation: Part I – Single Energy market”, IEEE Trans. Power Syst., 18(4): 1389-1394, 2003.
Deb, K. “Multiobjective Optimization using Evolutionary Algorithms”. John Wiley and Sons Ltd., 2001.
Deb, K., Pratap, A., Agarwal, S. and Meyarivan, T. “A Fast and Elitist Multiobjective Genetic Algorithm: NSGA-II,” IEEE Trans. Evol. Comput. 6(2): 182–197, 2002.
Dhillon, J. S., Parti, S. C. and Kothari, D. P. “Stochastic Economic Emission Load Dispatch” Electric Power Syst. Res., 26(3): 179-186, 1993.
El-Ela, A. A. A. and Abido, M. A. “Optimal Operation Strategy for Reactive Power Control,” in Modelling, Simulation and Control: AMSE Press, pt. A, 41(3):19-40, 1992
Fonseca, C. M. and Fleming, P. J. “An Overview of Evolutionary Algorithms in Multiobjective Optimization,” Evol. Comput. 31(3): 337-368, 1999.
Haruna, Y. S. “Comparison of Economic Load Dispatch Using Genetic Algorithm and Other Optimization Methods,” Unpublished M.Eng. Thesis, A. T. B. University, Bauchi, 2003.
Knowles, J., Corne, D. and K. Deb, K., “Multiobjective Problem Solving from Nature- From Concepts to Applications”. Springer, 2008.
Wudil, T. S. G. “Development of Loss Formula for NEPA Transmission Network,” Unpublished M.Eng. Thesis, A. T. B. University, Bauchi, 2004.
Yokoyama, R., Bae, S. H., Morita, T. and Sasaki, H. “Multi-objective Generation Dispatch based on Probability Security Criteria,” IEEE Trans. Power Syst., 3(1): 317-324, 1988
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Published
2010-05-01
How to Cite
Alawode, K., & Jubril, A. (2010). Multi-Objective Optimal Power Dispatch For The Nigerian Power Network. Ife Journal of Technology, 19(2), 11–14. Retrieved from http://ijt.oauife.edu.ng/index.php/ijt/article/view/59
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