Optimal Generation Expansion Planning Strategy with Carbon Trading
Fossil fuel-firing power plants dominate electric
power generation in Taiwan, which are also the major contributor to
Green House gases (GHG). CO2 is the most important greenhouse
gas that cause global warming. This paper penetrates the relationship
between carbon trading for GHG reduction and power generation
expansion planning (GEP) problem for the electrical utility. The
Particle Swarm Optimization (PSO) Algorithm is presented to deal
with the generation expansion planning strategy of the utility with
independent power providers (IPPs). The utility has to take both the
IPPs- participation and environment impact into account when a new
generation unit is considering expanded from view of supply side.
[1] Jia, N.X., Yokoyama, R., Zhou, Y.C., and Kozu, A., "An effective DP
solution for optimal generation expansion planning under new
environment,"IEEE Powercon 2000 conference, 2000, 37-42, Perth,
Australia.
[2] Granelli, G.P., Montagna, M., Pasini, G.L. and Marannino, P., "Emission
constraints dynamic dispatch,"Electric Power Systems Research, 1992,
24, 55-64.
[3] Akihiro, T., "Optimal fuel mix dispatch under environmental
constraints,"IEEE Transactions on Power Apparatus and Systems, 1981,
100(5), 2357-2364.
[4] Elkeib, A.A., Ma, H., and Hart, J.L., "Economic dispatch in view of the
clean air act of 1990,"IEEE Transaactions on Power Systems, 1994, 9(2),
972-978.
[5] Wollenberg BF., "Power generation operation and control,"Second
Edition, John Wiley&Sons, Inc., 1996, 264-327.
[6] Billinton R. and Zang., "Algorithm for failure frequency and duration
assessment of composite power systems,"IEE proceedinds:Generation,
Transmission, and Distribution, 1998, 145(2), 117-122.
[7] Mello JCO., Leite DS, and Pereira MVF. "Efficient loss-of-load cost
evaluation by combined pseudo-sequential and state transition
simulation," IEE proceedings: Generation, Transmission, and
Distribution, 1997, 144(2), 147-154.
[8] Zhu, J. and Chow, M.Y., "A review of emerging techniques on
generation expansion planning,"IEEE Transaction on Power Systems,
1997, 12(4), 1722-1728.
[9] Wong K.P. and Wong, Y.W., "Combined genetic algorithm/simulated
annealing/fuzzy set approach to short-term generation schedule with
take-or-pay fuel contract,"IEEE Transaction on Power Systems, 1996,
11(1), 128-136.
[10] Park, Y.M., Park, J.B., and Won, J.R., "A hybrid genetic
algorithm/dynamic programming approach to optimal long-term
generation expansion planning,"The Journal of Electrical Power &
Energy Systems, 1998, 20(4), 295-303.
[11] Fukuyama, Y. and Chiang, H.D., "A parallel genetic algorithm for
generation expansion planning,"IEEE Transaction on Power Systems,
1996, 11(2), 955-961.
[12] Nguyen, D.H.M. and Wong, K.P., "Power markets analysis using
genetic algorithm with popultion concentration,"IEEE Powercon 2000
conference, 4-7 December, Perth, Australia, 37-42.
[13] Jang-Sung Chun, Hyun-Kyo Jung and Song-Yop Hahn, "A Study on
Comparison of Optimization Performances between Immune Algorithm
and other Heuristic Algorithms," IEEE Transactions on Magnetics, Vol.
34, No. 5, September 1998.
[14] Shyh-Jier Huang, "An immune-based optimization method to capacitor
placement in a radial distribution system,"IEEE Transactions on Power
Delivery, Vol. 15, No. 2, April 2000.
[15] Toma, N.; Endo, S.; Yamanda, K., "Immune algorithm with immune
network and MHC for adaptive problem solving,"Systems, Man, and
Cybernetics, 1999 IEEE International Conference on , Vol. 4 , pp. 271 -
276, 1999.
[16] Endoh, S.; Toma, N.; Yamada, K ,"Immune algorithm for n-TSP,"
Systems, Man, and Cybernetics, 1998 IEEE International Conference
on , Vol. 4 , pp. 3844 -3849, 1998.
[17] J. Kennedy and R. Eberhart, "Particle Swarm Optimization",
Proceedings of IEEE International Conference on Neural Networks
(ICNN'95), Vol. IV, pp.1942-1948, Perth, Australia, 1995.
[18] E. Bonabeau, M. Dorigo, and G. Theraulaz, Swarm Intelligence : From
Natural to Artificial Systems, Oxford Press, 1999.
[19] J. Kennedy and R. Eberhart, Swarm Intelligence, Morgan Kaufmann
Publishers, 2001.
[20] M. Clerc, "The Swarm and the Queen: Towards a Deterministic and
Adaptive Particle Swarm Optimization", Proc. of IEEE International
Conference on Evolutionary Computation (ICEC'99), 1999.
[21] R. Eberhart and Y. Shi, "Comparing Inertia Weights and Constriction
Factors in Particle Swarm Optimization", Proc. of the Congress on
Evolutionary Computation (CEC2000), pp.84-88, 2000.
[22] M. A. Abido, "Particle Swarm Optimization for Multi-machine Power
System Stabilizer Design", Proc. of IEEE Power Engineering Society
Summer Meeting, July 2001.
[23] P. Angeline, "Evolutionary Optimization versus Particle Swarm
Optimization: Philosophy and Performance Differences", Proceeding of
The Seventh Annual Conf. on Evolutionary Programming, March 1998.
[24] Farag, A. Al-baiyat S. and Cheng, T.C., "Economic load dispatch
multiobjective optimization procedures using linear programming
techniques,"IEEE Transactions on Power Systems, 1995, 10(2), 731-
738.
[25] J.B. Park, Y.M. Park, J.R. Won and K. Y. Lee, "An Improved Genetic
Algorithm for Generation Expansion Planning," IEEE Transactions on
Power Systems, Vol. 15, No. 3, August 2000.
[26] Nara, K., Shiose, A., Kitagawa, M., and Ishihara, T., "Implement of
genetic algorithm for distribution systems loss minimum reconfiguration",
IEEE Trans. Power System, 1992, PWRS-7, (3), pp.
1044-1051.
[1] Jia, N.X., Yokoyama, R., Zhou, Y.C., and Kozu, A., "An effective DP
solution for optimal generation expansion planning under new
environment,"IEEE Powercon 2000 conference, 2000, 37-42, Perth,
Australia.
[2] Granelli, G.P., Montagna, M., Pasini, G.L. and Marannino, P., "Emission
constraints dynamic dispatch,"Electric Power Systems Research, 1992,
24, 55-64.
[3] Akihiro, T., "Optimal fuel mix dispatch under environmental
constraints,"IEEE Transactions on Power Apparatus and Systems, 1981,
100(5), 2357-2364.
[4] Elkeib, A.A., Ma, H., and Hart, J.L., "Economic dispatch in view of the
clean air act of 1990,"IEEE Transaactions on Power Systems, 1994, 9(2),
972-978.
[5] Wollenberg BF., "Power generation operation and control,"Second
Edition, John Wiley&Sons, Inc., 1996, 264-327.
[6] Billinton R. and Zang., "Algorithm for failure frequency and duration
assessment of composite power systems,"IEE proceedinds:Generation,
Transmission, and Distribution, 1998, 145(2), 117-122.
[7] Mello JCO., Leite DS, and Pereira MVF. "Efficient loss-of-load cost
evaluation by combined pseudo-sequential and state transition
simulation," IEE proceedings: Generation, Transmission, and
Distribution, 1997, 144(2), 147-154.
[8] Zhu, J. and Chow, M.Y., "A review of emerging techniques on
generation expansion planning,"IEEE Transaction on Power Systems,
1997, 12(4), 1722-1728.
[9] Wong K.P. and Wong, Y.W., "Combined genetic algorithm/simulated
annealing/fuzzy set approach to short-term generation schedule with
take-or-pay fuel contract,"IEEE Transaction on Power Systems, 1996,
11(1), 128-136.
[10] Park, Y.M., Park, J.B., and Won, J.R., "A hybrid genetic
algorithm/dynamic programming approach to optimal long-term
generation expansion planning,"The Journal of Electrical Power &
Energy Systems, 1998, 20(4), 295-303.
[11] Fukuyama, Y. and Chiang, H.D., "A parallel genetic algorithm for
generation expansion planning,"IEEE Transaction on Power Systems,
1996, 11(2), 955-961.
[12] Nguyen, D.H.M. and Wong, K.P., "Power markets analysis using
genetic algorithm with popultion concentration,"IEEE Powercon 2000
conference, 4-7 December, Perth, Australia, 37-42.
[13] Jang-Sung Chun, Hyun-Kyo Jung and Song-Yop Hahn, "A Study on
Comparison of Optimization Performances between Immune Algorithm
and other Heuristic Algorithms," IEEE Transactions on Magnetics, Vol.
34, No. 5, September 1998.
[14] Shyh-Jier Huang, "An immune-based optimization method to capacitor
placement in a radial distribution system,"IEEE Transactions on Power
Delivery, Vol. 15, No. 2, April 2000.
[15] Toma, N.; Endo, S.; Yamanda, K., "Immune algorithm with immune
network and MHC for adaptive problem solving,"Systems, Man, and
Cybernetics, 1999 IEEE International Conference on , Vol. 4 , pp. 271 -
276, 1999.
[16] Endoh, S.; Toma, N.; Yamada, K ,"Immune algorithm for n-TSP,"
Systems, Man, and Cybernetics, 1998 IEEE International Conference
on , Vol. 4 , pp. 3844 -3849, 1998.
[17] J. Kennedy and R. Eberhart, "Particle Swarm Optimization",
Proceedings of IEEE International Conference on Neural Networks
(ICNN'95), Vol. IV, pp.1942-1948, Perth, Australia, 1995.
[18] E. Bonabeau, M. Dorigo, and G. Theraulaz, Swarm Intelligence : From
Natural to Artificial Systems, Oxford Press, 1999.
[19] J. Kennedy and R. Eberhart, Swarm Intelligence, Morgan Kaufmann
Publishers, 2001.
[20] M. Clerc, "The Swarm and the Queen: Towards a Deterministic and
Adaptive Particle Swarm Optimization", Proc. of IEEE International
Conference on Evolutionary Computation (ICEC'99), 1999.
[21] R. Eberhart and Y. Shi, "Comparing Inertia Weights and Constriction
Factors in Particle Swarm Optimization", Proc. of the Congress on
Evolutionary Computation (CEC2000), pp.84-88, 2000.
[22] M. A. Abido, "Particle Swarm Optimization for Multi-machine Power
System Stabilizer Design", Proc. of IEEE Power Engineering Society
Summer Meeting, July 2001.
[23] P. Angeline, "Evolutionary Optimization versus Particle Swarm
Optimization: Philosophy and Performance Differences", Proceeding of
The Seventh Annual Conf. on Evolutionary Programming, March 1998.
[24] Farag, A. Al-baiyat S. and Cheng, T.C., "Economic load dispatch
multiobjective optimization procedures using linear programming
techniques,"IEEE Transactions on Power Systems, 1995, 10(2), 731-
738.
[25] J.B. Park, Y.M. Park, J.R. Won and K. Y. Lee, "An Improved Genetic
Algorithm for Generation Expansion Planning," IEEE Transactions on
Power Systems, Vol. 15, No. 3, August 2000.
[26] Nara, K., Shiose, A., Kitagawa, M., and Ishihara, T., "Implement of
genetic algorithm for distribution systems loss minimum reconfiguration",
IEEE Trans. Power System, 1992, PWRS-7, (3), pp.
1044-1051.
@article{"International Journal of Information, Control and Computer Sciences:62144", author = "Tung-Sheng Zhan and Chih-Cheng Kao and Chin-Der Yang and Jong-Ian Tsai", title = "Optimal Generation Expansion Planning Strategy with Carbon Trading", abstract = "Fossil fuel-firing power plants dominate electric
power generation in Taiwan, which are also the major contributor to
Green House gases (GHG). CO2 is the most important greenhouse
gas that cause global warming. This paper penetrates the relationship
between carbon trading for GHG reduction and power generation
expansion planning (GEP) problem for the electrical utility. The
Particle Swarm Optimization (PSO) Algorithm is presented to deal
with the generation expansion planning strategy of the utility with
independent power providers (IPPs). The utility has to take both the
IPPs- participation and environment impact into account when a new
generation unit is considering expanded from view of supply side.", keywords = "Carbon Trading, CO2 Emission, GenerationExpansion Planning (GEP), Green House gases (GHG), ParticleSwarm Optimization (PSO).", volume = "4", number = "5", pages = "1001-6", }
