Evolutionary multi-objective environmental/economic dispatch: Stochastic versus deterministic approaches

Lecture Notes in Computer Science

Volumn 3410, Issue , 2005, Pages 677-691

  Ah King, Robert T F ^a   Rughooputh, Harry C S ^a   Deb, Kalyanmoy ^b  

^a UNIVERSITY OF MAURITIUS   (Mauritius)

^b INDIAN INSTITUTE OF TECHNOLOGY KANPUR   (India)

Author keywords

[No Author keywords available]

Indexed keywords

ECONOMICS; ELECTRIC POWER SYSTEMS; EVOLUTIONARY ALGORITHMS; FOSSIL FUELS; PARETO PRINCIPLE; POWER GENERATION; RANDOM PROCESSES;

ECONOMIC DISPATCH; EMISSION COEFFICIENTS; ENVIRONMENTAL DISPATCH; FUEL COST;

ENVIRONMENTAL IMPACT;

EID: 24344507824     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/978-3-540-31880-4_47     Document Type: Conference Paper

References (19)

1. Parti, S. C., Kothari, D. P., Gupta, P. V.: Economic Thermal Power Dispatch. Institution of Engineers (India) Journal-EL, Vol. 64 (1983) 126-132
2. Gent, M. R., Lamont, J. W.: Minimum-Emission Dispatch. IEEE Transactions on Power Apparatus and Systems, Vol. PAS-90, No. 6 (1971) 2650-2660
3. Zahavi, J., Eisenberg, L.: Economic-Environmental Power Dispatch. IEEE Transactions on Systems, Man, and Cybernetics, Vol. SMC-5, No. 5 (1975) 485-489
4. Nanda, J., Kothari, D. P., Lingamurthy, K. S.: Economic-Emission Load Dispatch through Goal Programming Techniques. IEEE Transactions on Energy Conversion, Vol. 3, No.1 (1988) 26-32
5. Dhillon, J. S., Parti, S. C., Kothari, D. P.: Multiobjective Optimal Thermal Power Dispatch. Electrical Power and Energy Systems, Vol. 16, No. 6 (1994) 383-389
6. Abido, M. A.: A Novel Multiobjective Evolutionary Algorithm for Environmental/ Economic Power Dispatch. Electric Power Systems Research, Vol. 65 (2003) 71-81
7. Abido, M. A.: A Niched Pareto Genetic Algorithm for Multiobjective Environmental/ Economic Dispatch. Electrical Power and Energy Systems, Vol. 25, No. 2 (2003) 97-105
8. Abido, M. A.: Environmental/Economic Power Dispatch using Multiobjective Evolutionary Algorithms. IEEE Transactions on Power Systems, Vol. 18, No. 4 (2003) 1529-1537
9. Ah King, R. T. F., Rughooputh, H. C. S.: Elitist Multiobjective Evolutionary Algorithm for Environmental/Economic Dispatch. IEEE Congress on Evolutionary Computation, Canberra, Australia, Vol. 2 (2003) 1108-1114
10. Viviani, G. L., Heydt, G. T.: Stochastic Optimal Energy Dispatch. IEEE Transactions on Power Apparatus and Systems, Vol. PAS-100, No. 7 (1981) 3221-3228
11. Bunn, D. W., Paschentis, S. N.: Development of a Stochastic Model for the Economic Dispatch of Electric Power. European Journal of Operational Research 27 (1986) 179-191
12. Dhillon, J. S., Parti, S. C., Kothari, D. P.: Stochastic Economic Emission Load Dispatch. Electric Power Systems Research, 26 (1993) 179-186
13. Dhillon, J. S., Parti, S. C., Kothari, D. P.: Multiobjective Decision Making in Stochastic Economic Dispatch. Electric Machines and Power Systems, 23 (1995) 289-301
14. Bath, S. K., Dhillon, J. S., Kothari, D. P.: Fuzzy Satisfying Stochastic Multi-Objective Generation Scheduling by Weightage Pattern Search Methods. Electric Power Systems Research 69 (2004) 311-320
15. Yokoyama, R., Bae, S. H., Morita, T., Sasaki, H.: Multiobjective Optimal Generation Dispatch based on Probability Security Criteria. IEEE Transactions on Power Systems, Vol. 3, No. 1 (1988) 317-324
16. Deb, K., Pratap, A., Agrawal, S., Meyarivan, T.: A Fast and Elitist Multiobjective Genetic Algorithm: NSGA-II. IEEE Transactions on Evolutionary Computation, Vol. 6, No. 2 (2002) 182-197
17. Das, D. B., Patvardhan, C.: New Multi-Objective Stochastic Search Technique for Economic Load Dispatch. IEE Proceedings. C, Generation, Transmission, and Distribution, Vol. 145, No. 6 (1998) 747-752
18. Haimes, Y. Y., Lasdon, L. S., Wismer, D. A.: On a Bicriterion Formulation of the Problems of Integrated System Identification and System Optimization. IEEE Transactions on Systems, Man, and Cybernetics 1 (3) (1971) 296-297
19. Deb, K., Chakroborty, P.: Time Scheduling of Transit Systems With Transfer Considerations Using Genetic Algorithms. Evolutionary Computation 6 (1) (1998) 1-24