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Novel Adaptive Evolutionary Computation Approaches to the Dynamic Economic Load Dispatch Problems with Non-Smooth Fuel Cost Function
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 103 - Number 9 |
| Year of Publication: 2014 |
| Authors: Sunny Orike |
10.5120/18101-9166
|
Sunny Orike . Novel Adaptive Evolutionary Computation Approaches to the Dynamic Economic Load Dispatch Problems with Non-Smooth Fuel Cost Function. International Journal of Computer Applications. 103, 9 ( October 2014), 11-18. DOI=10.5120/18101-9166
Abstract
The paper presents novel approaches to solving the dynamic economic load dispatch (DELD) problem with valve-point loading effects. In dynamic environments, optimization problems change over time. They are also called time dependent or dynamic time-linkage problems, where decisions made at a given time may affect output obtained in a later time. It is therefore expected of algorithms solving dynamic optimization problems to both locate optimal solutions of the given problem and keep track of such solutions as they change with time. An investigation was made of three optimization methods in conjunction with three smart mutation variants, on benchmark problem cases involving 5 and 10 generating units, the major test cases in the literature with comparative results for other algorithms. The results suggest that the third approach which exploits the dynamic nature of the problem was capable of superior to the other two approaches. Comparisons with all approaches so far in the literature that have addressed these problems show that these evolutionary computation approaches are superior to other algorithms.
References
- G. Sreenivasan, C. H. Saibabu and S. Sivanagaraju, "Solution of Dynamic Economic Load Dispatch Problem with Valve Point Loading Effects and Ramp Rate Limits using PSO", International Journal of Electrical and Computer Engineering, vol. 1, no. 1, pp. 59 – 70, 2011.
- S. Hemamalini and S. P. Simon, "Dynamic Economic Dispatch Problem with Valve Point Effects using Maclaurin Series Based Lagrangian Method", International Journal of Computer Applications (0975-8887), vol. 1, no. 17, pp. 71 – 77, 2010.
- Poole, D. , Mackworth, A. and Goebel, R. 1999. Computational Intelligence, a Logical Approach, Oxford University Press.
- Goldberg, D. E. 1989. Genetic Algorithms in Search, Optimization and Machine Learning. Addison Wesley.
- R. C. Bansal, "Optimization Methods for Electrical Power Systems: An Overview", Journal for Emerging Electric Power Systems, vol. 2, no. 1, pp. 1 – 23, 2005.
- D. Saxena, S. N. Singh and K. S. Verma, "Application of Computational Intelligence in Emerging Power Systems", International Journal of Engineering, Science and Technology, vol. 2, no. 3, pp 1 – 7, 2010.
- R. C. Bansal, "Literature Survey on Expert System Applications to Power Systems", International Journal Engineering Intelligent Systems, vol. 11, no. 3, pp. 103 – 112, 2003.
- M. Eusuff and K. Lansey, "Optimization of Water Distribution Network Design using the Shuffled Frog Leaping Algorithm," Journal of Water Resources Planning and Management, vol. 129, no. 3, pp. 210 –225, 2003.
- J. D. Farmer, N. Packard and A. Perelson, "The Immune System, Adaptation and Machine Learning", Physica D, vol. 2, pp. 187–204, 1986.
- D. Bisen and H. M. Dubey, "Dynamic Economic Load Dispatch with Emission and Loss using GAMS", International Journal of Engineering Research and Technology, vol. 1, no. 3, pp. 1 – 7, 2012.
- S. Ganesan and S. Subramanian, "Dynamic Economic Dispatch Based on Simple Algorithm", International Journal of Computer and Electrical Engineering, vol. 3, no. 2, pp. 1793 – 8163, 2011.
- K. Asano, M. Nakatsuka and T. Kumano, "Calculus of Variation and Genetic Algorithm considering Ramp Rate". In Proceedings of 15th International Conference on Intelligent System Applications to Power Systems, Curitiba, 2009.
- P. Attaviriyanupap, H. Kita, E. Tanaka and J. Hasegawa, "A Fuzzy-Optimization Approach to Dynamic Economic Dispatch Considering Uncertainties", IEEE Transactions of Power Systems, vol. 19, no. 3, pp. 1299 – 1307, 2004.
- R. Balamurugan and S. Subramanian, "Differential Evolution-based Dynamic Economic Dispatch of Generating Units with Valve-point Effects", Journal of Electrical Power Components and Systems, vol. 36, no. 8, pp. 828 – 843, 2008.
- C. K. Panigrahi, P. K. Chattopadhyay, R. N. Chakrabarti, M. Basu, "Simulated Annealing Technique for Dynamic Economic Dispatch", Journal of Electrical Power Components Systems Research, vol. 34, no. 5, pp. 577 – 586, 2006.
- S. F. Mekhamer, A. Y. Abdelaziz, M. Z. Kamh and M. A. L. Badr, "Dynamic Economic Dispatch using a Hybrid Hopfield Neural Network/Quadratic Programming Based Technique", Journal of Electrical Power Components and Systems, vol. 37, no. 3, pp. 253 – 264, 2009.
- V. R. Pandi and B. K. Panigrahi, "Dynamic Economic Load Dispatch using Hybrid Swarm Intelligence Based Harmony Search Algorithm," Journal of Expert Systems with Applications, vol. 38, pp. 8509 – 8514, 2011.
- P. Attaviriyanupap H. Kita, E. Tanaka and J. Hasegawa, "A Hybrid EP and SQP for Dynamic Economic Dispatch with Non-Smooth Fuel Cost Function", IEEE Transactions on Power Systems, vol. 17, no. 2, pp. 411 – 416, 2002.
- M. Basu, "An Interactive Fuzzy Satisfying-based Simulated Annealing Technique for Economic Emission Load Dispatch with Non-Smooth Fuel Cost and Emission Level Functions", Electrical Power Components and Systems, vol. 32, no. 2, pp. 163 – 173, 2010.
- S. Orike and D. W. Corne, "An Evolutionary Algorithm for Bid-Based Dynamic Economic Load Dispatch in a Deregulated Electricity Market". In Y. Jin and S. A. Thomas (Eds. ), IEEE UK Workshop on Computational Intelligence, University of Surrey, Guildford, 9th – 11th September 2013.
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