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Combined Economic Emission Dispatch - Pareto Optimal Front Approach
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 30 - Number 12 |
| Year of Publication: 2011 |
| Authors: K.Vinod Kumar, G.Lakshmi Phani |
10.5120/3710-4881
|
K.Vinod Kumar, G.Lakshmi Phani . Combined Economic Emission Dispatch - Pareto Optimal Front Approach. International Journal of Computer Applications. 30, 12 ( September 2011), 16-21. DOI=10.5120/3710-4881
Abstract
Recent advancements in artificial intelligence especially in evolutionary algorithms have enabled much efficient way to solve the constrained optimization problems in various fields of engineering. In this paper we explain the development of the optimization techniques from single criterion to multi criterion. We also address the Combined Economic and Emissions Dispatch (CEED) problem in thermal power stations. We use the aggregate objective function approach to solve the multiobjective CEEED problem using firefly optimization technique. Then we simulate the proposed approach on a test system and formulate the pareto optimal front for three different load demands. This proves that the algorithm can be effectively used to solve such multiobjective problems.
References
- Prasanna.T.S , Somasundaram.P ,Fuzzy – Tabu Search Algorithm for combined economic and emission load dispatch, XXXII National Systems Conference, NSC 2008, December
- M.R Alrashidi, M.E El-Hawary, Impact of Loading Conditions on the Emission-Economic Dispatch, World Academy of Science, Engineering and Technology 39 2008.
- Y.Al-Kalaani, Power Plant Modelling Using on Line Emission Monitoring, Emirates Journal for Engineering Research, 9(1), 51-56 (2004).
- K.Sathish Kumar, V Tamil Selvan, N Murali, R Rajaram, N Shanmuga Sundaram, T Jayabarati, Economic Load Dispatch with Emission Constraints using various PSO Algorithms, WSEAS TRANSACTIONS on POWER SYSTEMS.
- Po-Hung Chen, Hung-Cheng Chen, Chun-Liang Hsu, Genetic Algorithm based approach for Power Generation Dispatch with Emission Constraints.
- Subramanian Srikrishna, Ganeshan Sivarajan, Sequential Approach with Matrix Framework for Various Types of Economic Thermal Power Dispatch Problems, Energy and Power Engineering, 2010, 2, 111-121.
- Chao-Lung Chiang, Ji-Horng Liaw, Ching-Tzong Su, New approach with a genetic algorithm framework to multi-objective generation dispatch problems, European Transactions on Electrical Power; 15:381-395.
- Y.Labbi, D. Ben Attuos, Big Bang Big Crunch Optimization algorithm for economic dispatch with valve-point effect, Journal of Theoretical and Applied Information Technology.
- Osman K. Erol, Ibrahim Eksin, A new optimization method : Big Bang-Big Crunch, Advances in Engineering Software 37 (2006) 106-111.
- Moacir Kripka, Rosana Maria Luvezute Kripka, “Big Crunch” Optimization method, International Journal on Engineering Optimization.
- P.Venkatesh, K.Y.Lee, “Multi-Objective Evolutionary Programming for Economic Emission Dispatch Problem”, Power and Energy Society General Meeting-Conversion and Delivery of Electrical Energy in the 21st Century, 2008,pp.1-8.
- M.Basu, “A simulated annealing based goal attainment method for economic emission laod dispatch of fixed head hydrothermal power systems”, Electrical Power and Energy Systems, 27, 2005, pp.147-153.
- L.Wang, C.Singh, “Reserve-constrained multiarea environmental / economic dispatch based on particle swarm optimization with local search”, Engineering Applications of Artificial Intelligence, 22, 2009, pp.298-307.
- M.Basu, “Dynamic economic emission dispatch using nondominated sorting genetic algorithm-II”, Electrical Power and Energy Systems, 30, 2008, pp.140-149.
- Hishashi Tamaki, Hajime Kita, and Shingenobu Kobayashi, Multiobjective Optimization by Genetic Algorithms: A Review. In Toshio Fukuda and Takeshi Furuhashi, editors, Proceedings of the 1996 International Conference on Evolutionary Computation, pages 517-522, Nagoya, Japan, 1996. IEEE.
- Carlos M.Fonseca and Peter J.Fleming. An Overview of Evolutionary Algorithms in Multiobejctive Optimization, Evoluitonary Computation, 3(1):1-16,Spring 1995.
- Carlos M.Fonseca and Peter J.Fleming. An Overview of evolutionary algorithms in multiobjective optimization. Technical Report, Department of Automatic Control and Systems Engineering, University of Sheffield, Sheffield, U.K,. 1994.
- M.Gen, K.Ida, and Y.Li. Solving bicriteria solid transportation problem with fuzzy numbers by genetic algorithm. International Journal of computers and Industrial Engineering, 29:537-543,1995.
- Mitsuo Gen and Runwei Cheng. Genetic Algorithm and Engineering Design. John Wiely and Sons, Inc., New York 1997.
- X. Yang and M.Gen. Evolutionary program for bicriterial transportation problem. In M. Gen and T. Kobayashi, editors, Proceedings of the 16th International Conference on Computers and Industrial Engineering, pages 451-454, Ashikaga, Japan, 1994.
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