The week's pick
Reseach Article
Constrained Elitist Genetic Algorithm for Economic Load Dispatch: Case Study on Nigerian Power System
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 76 - Number 5 |
| Year of Publication: 2013 |
| Authors: Sunny Orike, David W. Corne |
10.5120/13245-0706
|
Sunny Orike, David W. Corne . Constrained Elitist Genetic Algorithm for Economic Load Dispatch: Case Study on Nigerian Power System. International Journal of Computer Applications. 76, 5 ( August 2013), 27-33. DOI=10.5120/13245-0706
Abstract
The Economic Load Dispatch problem concerns the determination of the optimal combination of power generators' outputs with the lowest generation cost for a defined level of load. The problem arises from the fact that there are rated limits of generators' power output, fuel costs of power plants are different, energy should be balanced, and plants are not located at the same distance from load centers. This work proposes the use of a novel technique - constrained elitist genetic algorithm (CEGA) in optimizing real power scheduling for the Nigerian power system. The approach was tested and evaluated against related approaches with same test data, where it exhibited superior performance to attempts so far previously reported in the literature.
References
- Jager-Waldau, A. and Ossenbrink, H. 2004. Progress of Electricity from Biomass, Wind and Photovoltaics in the European Union. Renewable and Sustainable Energy Reviews. 8 (2), 157-182.
- Goldberg, D. E. 1989. Genetic Algorithms in Search, Optimisation and Machine Learning. Addison Wesley, Reading.
- Arrillaga, J. and Arnold, C. P. 1994. Computer Analysis of Power Systems. John A. Wiley and Sons Inc.
- Glover, J. D. and Sarma, M. S. 2002. Power System Analysis and Design. 3rd edition, Thomson Learning.
- Momoh, J. A. 2001. Electrical Power System: Applications of Optimizations. Marcel Dekker Inc.
- Stewart, J. 2001. Intermediate Electromagnetic Theory. World Scientific, 50, ISBN: 9-8102-4471-1.
- Chuka, E. C. , Nwuba, U. and Ogonna, M. C. 2011. Optimum Reliability and Cost of Power Distribution System: A Case of Power Holding Company of Nigeria. International Journal of Engineering Science and Technology. 3 (8), 6671-6683.
- Bakare, G. A. , Aliyu, U. O. , Venayagamoorthy, G. K. and Shu'aibu, Y. K. 2005. Genetic Algorithm Based Economic Dispatch with Application to Coordination of Nigerian Thermal Power Plants. DOI: 10. 1109/PES. 2005. 1489725.
- Ahiakwo, C. O. and Orike, S. 2010. Distributed Generation (Renewable Energy) - Best Option for Oil Bearing Communities. Journal of Sciences and Multidisciplinary Research. 2, 9-14.
- Vetiva, 2010. Nigeria: Power Sector Reform Roadmap. Vetiva Flash Note (Aug. 2010), 1-6.
- Bolanle, O. 2011. Nigerian Power Sector Reforms and Privatisation. Bureau of Public Enterprises, Abuja, Nigeria.
- Xia, X. and Elaiw, A. M. 2010, Optimal Dynamic Economic Dispatch of Generation: A Review. Journal of Electrical Power Systems Research. 80 (2010), 975-986.
- Kumar, C. and Alwarsamy, T. 2011. Dynamic Economic Dispatch – A Review of Solution Methodologies. European Journal of Scientific Research. 64 (4), 517-537.
- Pandya, K. S. and Joshi, S. K. 2008. A Survey of Optimal Power Flow Methods. Journal of Theoretical and Applied Information Technology, 450 – 458.
- Abdulaziz, A. U. M. and Alhabib, H. I. 2010. Power Network Planning using Mixed-Integer Programming. Journal of King Abdulaziz University Engineering Sciences. 21 (2), 15 – 34.
- Bansal, R. C. 2003. Literature Survey on Expert System Applications to Power Systems. International Journal Engineering Intelligent Systems. 11 (3), 103 – 112.
- Sayah, S. and Zehar, K. 2008. Using Evolutionary Computation to Solve the Economic Load Dispatch Problem. Leonardo Journal of Sciences. 12, 67-78.
- Bansal, R. C. 2005. Optimisation Methods for Electrical Power Systems: An Overview. International Journal for Emerging Electric Power Systems. 2 (1), 1 – 23.
- Haque, R. and Chowdhury N. 2005. An Artificial Neural Network Based Transmission Loss Allocation for Bilateral Contracts. In: Proceedings of the 18th Annual Canadian Conference on Electrical and Computer Engineering, May 1-4, 2005, 2197-2201.
- Kennedy, J. and Eberhart, R. C. 2001. Swarm Intelligence. Morgan Kaufmann.
- Mitchell, M. 1998. An Introduction to Genetic Algorithms. MIT Press.
- Panigrahi, C. K, Chattopadhyay, P. K. , Chakrabarti, R. N. and Basu, M. 2006. Simulated annealing Technique for Dynamic Economic Dispatch. Journal of Electrical Power Components Systems Research. 34 (5), 577 – 586.
- Shakya, S. K. 2003. Probabilistic Model Building Genetic Algorithm: A Survey. Technical Report. Robert Gordon University, Aberdeen.
- Saxena, D. , Singh, S. N. and Verma, K. S. 2010. Application of Computational Intelligence in Emerging Power Systems. International Journal of Engineering, Science and Technology. 2 (3), 1 – 7.
- Luke, S. 2008. A Java-based Evolutionary Computation Research System. Version 20. ECLab, George Mason University.
Index Terms
Keywords