Interactive Compromise Approach with Particle Swarm Optimization for Environmental/Economic Power Dispatch
In this paper, an Interactive Compromise Approach
with Particle Swarm Optimization(ICA-PSO) is presented to solve the
Economic Emission Dispatch(EED) problem. The cost function and
emission function are modeled as the nonsmooth functions,
respectively. The bi-objective including both the minimization of cost
and emission is formulated in this paper. ICA-PSO is proposed to
solve EED problem for finding a better compromise solution. The
solution methodology can offer a global or near-global solution for
decision-making requirements. The effectiveness and efficiency of
ICA-PSO are demonstrated by a sample test system. Test results can
be shown that the proposed method provide a practical and flexible
framework for power dispatch.
[1] I.N. Silva, L. Nepomuceno, and T.M. Bastos, "An efficient hopfield
network to solve economic dispatch problems with transmission system
representation-, The International Journal of Electrical Power and Energy
Systems, Vol. 26, pp.733-738, 2004.
[2] T.A.A.Victoire and A.E. Jeyakumar, "Hybrid PSO-SQP for economic
dispatch with valve-point effect,"Electric Power Systems Research,
Vol.71, pp.51-59, 2004.
[3] J. Nanda, B. Narayanan and P.B. Narayanan,"Application of Genetic
Algorithm for economic load dispatch with lineflow constraints,"The
International Journal of Electrical Power and Energy Systems Vol. 24,
pp.723-729, 2002.
[4] D.-K.He, F.-L.Wang, and Z.-Z. Mao,"A hybrid genetic algorithm
approach based on differential evolution for economic dispatch with
valve-point effect,"The International Journal of Electrical Power and
Energy Systems, Vol. 30, pp.31-38, 2008.
[5] T. Jayabarathi, K. Jayaprakash, D.N. Jeyakumar, and T.
Raghunathan,"Evolutionary programming techniques for different kinds
of economic dispatch problems,"Electrical Power Systems Research,
Vol.73, pp.169-176, 2005.
[6] J.B. Park, K.S. Lee, J.R. Shin, and K.Y. Lee,"A Particle swarm
optimization for economic dispatch with nonsmooth cost functions,"IEEE
Transactions on Power Systems, Vol.20, No.1, pp.34-42, February 2005.
[7] A.A. Elkeib, H.Ma, and J.L. Hart,"Economic dispatch in view of the clean
air act of 1990,"IEEE Trans on PWRS, Vol.9, No.2, pp.972-978, May
1994.
[8] M Basu, "A Simulated annealing-based goal-attainment method for
economic emission load dispatch of fixed head hydrothermal power
systems,"The International Journal of Electrical Power and Energy
Systems Vol. 27, pp.147-153, 2005.
[9] Kit Po Wong, and Jason Yuryevich,"Evolutionary programming based
algorithm for environmentally constrained economic dispatch,"IEEE
Trans. on Power Systems, Vol.13, No.2, pp.301-306, May 1998.
[10] Ming-Tong Tsay, Whei-Min Lin, and Jhi-Li Lee, "Application of
evolutionary programming for economic dispatch of cogeneration
systems under emission constraints"International Journal of Electrical
Energy & Energy Systems, Vol.23, Issuse 8, pp.805-812, December 2001.
[11] S.R. Huang and Y.W. Lin, "Effectiveness optimum stratified sampling in
monte carlo chronological CO2 emission pollutants of generation system
modeling,"IEEE trans. on Power Systems, Vol.11, No.2, 1083-1089, May
1996.
[12] D. Srinivasan and A.G.B. Tettamanzi, "An evolutionary algorithm for
evaluation of emission compliance options in view of the clean air act
amendments,"IEEE Trans. on Power Systems, Vol.12, No.1, pp.336-341,
February 1997.
[13] R. Gnanadass, Narayana Prasad Padhy,; K. Manivannan, "Assessment of
available transfer capability for practical power systems with combined
economic emission dispatch,"Electric Power Systems Research Volume:
69, Issue: 2-3, pp. 267-276, May, 2004.
[14] Mesut Muslu,"Economic dispatch with environmental considerations:
tradeoff curves and emission reduction rates,"Electric Power Systems
Research Volume: 71, Issue: 2, pp. 153-158, October, 2004.
[15] Lingfeng Wang and Chanan Singh, "Environmental/economic power
dispatch using a fuzzified multi-objective particle swarm optimization
algorithm,"Electric Power Systems Research Volume: 77, Issue: 12, pp.
1654-1664, October 2007.
[16] J. Kennedy and R. C. Eberhart, "Particle swarm optimization,"
Proceedings of the IEEE International Conference on Neural Networks,
Vol.4, pp.1942-1948, 1995.
[17] C.C. Kuo and H.C. Chang,"Solving the bi-objective scheduling of
switched capacitors using an interactive best-compromise
approach,"Electric Power System Research 46, pp.133-140, 1998.
[18] M. Basu, "Dynamic economic emission dispatch using nondominated
sorting genetic algorithm-II," International Journal of Electrical Energy &
Energy Systems, Vol.30, pp.140-149, 2008.
[1] I.N. Silva, L. Nepomuceno, and T.M. Bastos, "An efficient hopfield
network to solve economic dispatch problems with transmission system
representation-, The International Journal of Electrical Power and Energy
Systems, Vol. 26, pp.733-738, 2004.
[2] T.A.A.Victoire and A.E. Jeyakumar, "Hybrid PSO-SQP for economic
dispatch with valve-point effect,"Electric Power Systems Research,
Vol.71, pp.51-59, 2004.
[3] J. Nanda, B. Narayanan and P.B. Narayanan,"Application of Genetic
Algorithm for economic load dispatch with lineflow constraints,"The
International Journal of Electrical Power and Energy Systems Vol. 24,
pp.723-729, 2002.
[4] D.-K.He, F.-L.Wang, and Z.-Z. Mao,"A hybrid genetic algorithm
approach based on differential evolution for economic dispatch with
valve-point effect,"The International Journal of Electrical Power and
Energy Systems, Vol. 30, pp.31-38, 2008.
[5] T. Jayabarathi, K. Jayaprakash, D.N. Jeyakumar, and T.
Raghunathan,"Evolutionary programming techniques for different kinds
of economic dispatch problems,"Electrical Power Systems Research,
Vol.73, pp.169-176, 2005.
[6] J.B. Park, K.S. Lee, J.R. Shin, and K.Y. Lee,"A Particle swarm
optimization for economic dispatch with nonsmooth cost functions,"IEEE
Transactions on Power Systems, Vol.20, No.1, pp.34-42, February 2005.
[7] A.A. Elkeib, H.Ma, and J.L. Hart,"Economic dispatch in view of the clean
air act of 1990,"IEEE Trans on PWRS, Vol.9, No.2, pp.972-978, May
1994.
[8] M Basu, "A Simulated annealing-based goal-attainment method for
economic emission load dispatch of fixed head hydrothermal power
systems,"The International Journal of Electrical Power and Energy
Systems Vol. 27, pp.147-153, 2005.
[9] Kit Po Wong, and Jason Yuryevich,"Evolutionary programming based
algorithm for environmentally constrained economic dispatch,"IEEE
Trans. on Power Systems, Vol.13, No.2, pp.301-306, May 1998.
[10] Ming-Tong Tsay, Whei-Min Lin, and Jhi-Li Lee, "Application of
evolutionary programming for economic dispatch of cogeneration
systems under emission constraints"International Journal of Electrical
Energy & Energy Systems, Vol.23, Issuse 8, pp.805-812, December 2001.
[11] S.R. Huang and Y.W. Lin, "Effectiveness optimum stratified sampling in
monte carlo chronological CO2 emission pollutants of generation system
modeling,"IEEE trans. on Power Systems, Vol.11, No.2, 1083-1089, May
1996.
[12] D. Srinivasan and A.G.B. Tettamanzi, "An evolutionary algorithm for
evaluation of emission compliance options in view of the clean air act
amendments,"IEEE Trans. on Power Systems, Vol.12, No.1, pp.336-341,
February 1997.
[13] R. Gnanadass, Narayana Prasad Padhy,; K. Manivannan, "Assessment of
available transfer capability for practical power systems with combined
economic emission dispatch,"Electric Power Systems Research Volume:
69, Issue: 2-3, pp. 267-276, May, 2004.
[14] Mesut Muslu,"Economic dispatch with environmental considerations:
tradeoff curves and emission reduction rates,"Electric Power Systems
Research Volume: 71, Issue: 2, pp. 153-158, October, 2004.
[15] Lingfeng Wang and Chanan Singh, "Environmental/economic power
dispatch using a fuzzified multi-objective particle swarm optimization
algorithm,"Electric Power Systems Research Volume: 77, Issue: 12, pp.
1654-1664, October 2007.
[16] J. Kennedy and R. C. Eberhart, "Particle swarm optimization,"
Proceedings of the IEEE International Conference on Neural Networks,
Vol.4, pp.1942-1948, 1995.
[17] C.C. Kuo and H.C. Chang,"Solving the bi-objective scheduling of
switched capacitors using an interactive best-compromise
approach,"Electric Power System Research 46, pp.133-140, 1998.
[18] M. Basu, "Dynamic economic emission dispatch using nondominated
sorting genetic algorithm-II," International Journal of Electrical Energy &
Energy Systems, Vol.30, pp.140-149, 2008.
@article{"International Journal of Electrical, Electronic and Communication Sciences:51885", author = "Ming-Tang Tsai and Chih-Wei Yen", title = "Interactive Compromise Approach with Particle Swarm Optimization for Environmental/Economic Power Dispatch", abstract = "In this paper, an Interactive Compromise Approach
with Particle Swarm Optimization(ICA-PSO) is presented to solve the
Economic Emission Dispatch(EED) problem. The cost function and
emission function are modeled as the nonsmooth functions,
respectively. The bi-objective including both the minimization of cost
and emission is formulated in this paper. ICA-PSO is proposed to
solve EED problem for finding a better compromise solution. The
solution methodology can offer a global or near-global solution for
decision-making requirements. The effectiveness and efficiency of
ICA-PSO are demonstrated by a sample test system. Test results can
be shown that the proposed method provide a practical and flexible
framework for power dispatch.", keywords = "Interactive Compromise Approach, Emission Control,
Economic Dispatch, Particle Swarm Optimization.", volume = "3", number = "8", pages = "1511-6", }
