Evolutionary Multi-Objective Environmental / Economic Dispatch : Stochastic vs . Deterministic Approaches

Due to the environmental concerns that arise from the emissions produced by fossil-fueled electric power plants, the classical economic dispatch, which operates electric power systems so as to minimize only the total fuel cost, can no longer be considered alone. Thus, by environmental dispatch, emissions can be reduced by dispatch of power generation to minimize emissions. The environmental/economic dispatch problem has been most commonly solved using a deterministic approach. However, power generated, system loads, fuel cost and emission coefficients are subjected to inaccuracies and uncertainties in real-world situations. In this paper, the problem is tackled using both deterministic and stochastic approaches of different complexities. The Nondominated Sorting Genetic Algorithm – II (NSGA-II), an elitist multiobjective evolutionary algorithm capable of finding multiple Pareto-optimal solutions with good diversity in one single run is used for solving the environmental/economic dispatch problem. Simulation results are presented for the standard IEEE 30-bus system.

[1]  L. Lasdon,et al.  On a bicriterion formation of the problems of integrated system identification and system optimization , 1971 .

[2]  M. R. Gent,et al.  Minimum-Emission Dispatch , 1971 .

[3]  J. Zahavi,et al.  Economic-environmental power dispatch , 1974 .

[4]  G. Heydt,et al.  Stochastic Optimal Energy Dispatch , 1981, IEEE Transactions on Power Apparatus and Systems.

[5]  D. P. Kothari,et al.  Economic thermal power dispatch , 1983 .

[6]  Derek W. Bunn,et al.  Development of a stochastic model for the economic dispatch of electric power , 1986 .

[7]  H. Sasaki,et al.  Multiobjective optimal generation dispatch based on probability security criteria , 1988 .

[8]  J. Nanda,et al.  ECONOMIC-EMISSION LOAD DISPHTCH THROUGH GOAL PROGRAMMING TECHNIIJUES , 1988 .

[9]  D. P. Kothari,et al.  Stochastic economic emission load dispatch , 1993 .

[10]  D. P. Kothari,et al.  Multiobjective optimal thermal power dispatch , 1994 .

[11]  Jaspreet Singh Dhillon,et al.  Multiobjective decision making in stochastic economic dispatch , 1995 .

[12]  Kalyanmoy Deb,et al.  Time Scheduling of Transit Systems With Transfer Considerations Using Genetic Algorithms , 1998, Evolutionary Computation.

[13]  D. B. Das,et al.  New multi-objective stochastic search technique for economic load dispatch , 1998 .

[14]  Kalyanmoy Deb,et al.  A fast and elitist multiobjective genetic algorithm: NSGA-II , 2002, IEEE Trans. Evol. Comput..

[15]  A. A. Abido,et al.  A new multiobjective evolutionary algorithm for environmental/economic power dispatch , 2001, 2001 Power Engineering Society Summer Meeting. Conference Proceedings (Cat. No.01CH37262).

[16]  H.C.S. Rughooputh,et al.  Elitist multiobjective evolutionary algorithm for environmental/economic dispatch , 2003, The 2003 Congress on Evolutionary Computation, 2003. CEC '03..

[17]  M. A. Abido,et al.  A niched Pareto genetic algorithm for multiobjective environmental/economic dispatch , 2003 .

[18]  M. Abido.  Environmental/economic power dispatch using multiobjective evolutionary algorithms , 2003, 2003 IEEE Power Engineering Society General Meeting (IEEE Cat. No.03CH37491).

[19]  Jaspreet Singh Dhillon,et al.  Fuzzy satisfying stochastic multi-objective generation scheduling by weightage pattern search methods , 2004 .