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2020 | OriginalPaper | Buchkapitel

Multi-objective Economic and Emission Dispatch Using MOICA: A Competitive Study

verfasst von : Soheil Dolatabadi, Saeid Ghassem Zadeh

Erschienen in: Optimization of Power System Problems

Verlag: Springer International Publishing

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Abstract

In this chapter, the application of multi-objective imperialist competitive algorithm is investigated for solving economic and emission dispatch problem. It is aimed to minimize two conflicting objectives, economic and environmental, while satisfying the problem constraints. In addition, nonlinear characteristics of generators such as prohibited zone and ramp up/down limits are considered. To check applicability of the MOICA, it is applied to 12 h of IEEE 30-bus test system. Then, results of MOICA are compared with those derived by non-dominated sorting genetic algorithm and multi-objective particle swarm optimizer. The finding indicates that MOICA exhibits better performance.

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Literatur
1.
Zurück zum Zitat Venkatesh, P., Gnanadass, R., Padhy, N.: Comparison and application of evolutionary programming techniques to combined economic emission dispatch with line flow constraints. IEEE Trans. Power Syst. 18(2), 688–697 (2003)CrossRef Venkatesh, P., Gnanadass, R., Padhy, N.: Comparison and application of evolutionary programming techniques to combined economic emission dispatch with line flow constraints. IEEE Trans. Power Syst. 18(2), 688–697 (2003)CrossRef
2.
Zurück zum Zitat Liang, Z.-X., Glover, J.: A zoom feature for a dynamic programming solution to economic dispatch including transmission losses. IEEE Trans. Power Syst. 7(2), 544–550 (1992)CrossRef Liang, Z.-X., Glover, J.: A zoom feature for a dynamic programming solution to economic dispatch including transmission losses. IEEE Trans. Power Syst. 7(2), 544–550 (1992)CrossRef
3.
Zurück zum Zitat Walters, D., Sheble, G.: Genetic algorithm solution of economic dispatch with valve point loading. IEEE Trans. Power Syst. 8(3), 1325–1332 (1993)CrossRef Walters, D., Sheble, G.: Genetic algorithm solution of economic dispatch with valve point loading. IEEE Trans. Power Syst. 8(3), 1325–1332 (1993)CrossRef
4.
Zurück zum Zitat Park, J.-B., Jeong, Y.-W., Shin, J.-R., Lee, K.Y.: An improved particle swarm optimization for nonconvex economic dispatch problems. IEEE Trans. Power Syst. 25(1), 156–166 (2010)CrossRef Park, J.-B., Jeong, Y.-W., Shin, J.-R., Lee, K.Y.: An improved particle swarm optimization for nonconvex economic dispatch problems. IEEE Trans. Power Syst. 25(1), 156–166 (2010)CrossRef
5.
Zurück zum Zitat Dhanalakshmi, S., Kannan, S., Mahadevan, K., Baskar, S.: Application of modified NSGA-II algorithm to combined economic and emission dispatch problem. Int. J. Electr. Power Energy Syst. 33(4), 992–1002 (2011)CrossRef Dhanalakshmi, S., Kannan, S., Mahadevan, K., Baskar, S.: Application of modified NSGA-II algorithm to combined economic and emission dispatch problem. Int. J. Electr. Power Energy Syst. 33(4), 992–1002 (2011)CrossRef
6.
Zurück zum Zitat Yuan, X., Ji, B., Chen, Z., Chen, Z.: A novel approach for economic dispatch of hydrothermal system via gravitational search algorithm. Appl. Math. Comput. 247, 535–546 (2014)MATH Yuan, X., Ji, B., Chen, Z., Chen, Z.: A novel approach for economic dispatch of hydrothermal system via gravitational search algorithm. Appl. Math. Comput. 247, 535–546 (2014)MATH
7.
Zurück zum Zitat Abido, M.: Multiobjective particle swarm optimization for environmental/economic dispatch problem. Electr. Power Syst. Res. 79, 1105–1113 (2009)CrossRef Abido, M.: Multiobjective particle swarm optimization for environmental/economic dispatch problem. Electr. Power Syst. Res. 79, 1105–1113 (2009)CrossRef
8.
Zurück zum Zitat Mondal, S., Bhattacharya, A., nee Dey, S.H.: Multi-objective economic emission load dispatch solution using gravitational search algorithm and considering wind power penetration. Electr. Power Energy Syst. 44, 282–292 (2013)CrossRef Mondal, S., Bhattacharya, A., nee Dey, S.H.: Multi-objective economic emission load dispatch solution using gravitational search algorithm and considering wind power penetration. Electr. Power Energy Syst. 44, 282–292 (2013)CrossRef
9.
Zurück zum Zitat Atashpaz-Gargari, E., Lucas, C.: Imperialist competitive algorithm: An algorithm for optimization inspired by imperialistic competition. In: IEEE Congress on Evolutionary Computation, Singapore (2007) Atashpaz-Gargari, E., Lucas, C.: Imperialist competitive algorithm: An algorithm for optimization inspired by imperialistic competition. In: IEEE Congress on Evolutionary Computation, Singapore (2007)
10.
Zurück zum Zitat Azari, M.N., Mirsalim, M., Pahnehkolaei, S.M.A., Mohammadi, S.: Optimum design of a line-start permanent-magnet motor with slotted solid rotor using neural network and imperialist competitive algorithm. IET Electr. Power Appl. 11(1), 1–8 (2017)CrossRef Azari, M.N., Mirsalim, M., Pahnehkolaei, S.M.A., Mohammadi, S.: Optimum design of a line-start permanent-magnet motor with slotted solid rotor using neural network and imperialist competitive algorithm. IET Electr. Power Appl. 11(1), 1–8 (2017)CrossRef
11.
Zurück zum Zitat Moradi, M.H., Zeinalzadeh, A., Mohammadi, Y., Abedini, M.: An efficient hybrid method for solving the optimal sitting and sizing problem of DG and shunt capacitor banks simultaneously based on imperialist competitive algorithm and genetic algorithm. Int. J. Electr. Power Energy Syst. 54, 101–111 (2014)CrossRef Moradi, M.H., Zeinalzadeh, A., Mohammadi, Y., Abedini, M.: An efficient hybrid method for solving the optimal sitting and sizing problem of DG and shunt capacitor banks simultaneously based on imperialist competitive algorithm and genetic algorithm. Int. J. Electr. Power Energy Syst. 54, 101–111 (2014)CrossRef
12.
Zurück zum Zitat RezaeeJordehi, A.: Optimal allocation of FACTS devices for static security enhancement in power systems via imperialistic competitive algorithm (ICA). Appl. Soft Comput. 48, 317–328 (2016)CrossRef RezaeeJordehi, A.: Optimal allocation of FACTS devices for static security enhancement in power systems via imperialistic competitive algorithm (ICA). Appl. Soft Comput. 48, 317–328 (2016)CrossRef
13.
Zurück zum Zitat Tang, Y., Zhao, L., Han, Z., Bi, X., Guan, X.: Optimal gray PID controller design for automatic voltage regulator system via imperialist competitive algorithm. Int. J. Mach. Learn. Cybernet. 7(2), 229–240 (2016)CrossRef Tang, Y., Zhao, L., Han, Z., Bi, X., Guan, X.: Optimal gray PID controller design for automatic voltage regulator system via imperialist competitive algorithm. Int. J. Mach. Learn. Cybernet. 7(2), 229–240 (2016)CrossRef
14.
Zurück zum Zitat Enayatifar, R., Yousefi, M., Abdullah, A.H.: MOICA: a novel multi-objective approach based on imperialist competitive algorithm. Appl. Math. Comput. 219(17), 8829–8841 (2013)MATH Enayatifar, R., Yousefi, M., Abdullah, A.H.: MOICA: a novel multi-objective approach based on imperialist competitive algorithm. Appl. Math. Comput. 219(17), 8829–8841 (2013)MATH
15.
Zurück zum Zitat Abedinia, O., Amjady, N., Kiani, K., Shayanfar, H., Ghasemi, A.: Multiobjective environmental and economic dispatch using imperialist competitive algorithm. Int. J. Tech. Phys. Probl. Eng. (IJTPE) 11, 63–70 (2012) Abedinia, O., Amjady, N., Kiani, K., Shayanfar, H., Ghasemi, A.: Multiobjective environmental and economic dispatch using imperialist competitive algorithm. Int. J. Tech. Phys. Probl. Eng. (IJTPE) 11, 63–70 (2012)
16.
Zurück zum Zitat Chiang, C.-L.: Improved genetic algorithm for power economic dispatch of units with valve-point effects and multiple fuels. IEEE Trans. Power Syst. 20(4), 1690–1699 (2005)MathSciNetCrossRef Chiang, C.-L.: Improved genetic algorithm for power economic dispatch of units with valve-point effects and multiple fuels. IEEE Trans. Power Syst. 20(4), 1690–1699 (2005)MathSciNetCrossRef
17.
Zurück zum Zitat Wood, A., Wollenberg, B.: Power Generation, Operation, and Control. Wiley, Hoboken (2012) Wood, A., Wollenberg, B.: Power Generation, Operation, and Control. Wiley, Hoboken (2012)
18.
Zurück zum Zitat Orero, S., Irving, M.: Economic dispatch of generators with prohibited operating zones: a genetic algorithm approach. IEE Proc. Gener. Transm. Distrib. 143(6), 529–534 (1996)CrossRef Orero, S., Irving, M.: Economic dispatch of generators with prohibited operating zones: a genetic algorithm approach. IEE Proc. Gener. Transm. Distrib. 143(6), 529–534 (1996)CrossRef
19.
Zurück zum Zitat Deb, K.: Multi-objective optimization Interactive and Evolutionary Approaches. Search Methodologies. Springer US, pp. 403–449 (2014) Deb, K.: Multi-objective optimization Interactive and Evolutionary Approaches. Search Methodologies. Springer US, pp. 403–449 (2014)
20.
21.
Zurück zum Zitat Goldberg, D.R.J.: Genetic algorithms with sharing for multimodal function optimization. In: Proceedings of the First International Conference on Genetic Algorithms and Their Applications (1987) Goldberg, D.R.J.: Genetic algorithms with sharing for multimodal function optimization. In: Proceedings of the First International Conference on Genetic Algorithms and Their Applications (1987)
22.
Zurück zum Zitat Deb, K., Pratap, A., Agarwal, S., Meyarivan, T.: A fast and elitist multiobjective genetic algorithm: NSGA-II. IEEE Trans. Evol. Comput. 6(2), 182–197 (2002)CrossRef Deb, K., Pratap, A., Agarwal, S., Meyarivan, T.: A fast and elitist multiobjective genetic algorithm: NSGA-II. IEEE Trans. Evol. Comput. 6(2), 182–197 (2002)CrossRef
23.
Zurück zum Zitat Doerner, K., Gutjahr, W.J., Hartl, R.F., Strauss, C., Stummer, C.: Pareto ant colony optimization: a metaheuristic approach to multiobjective portfolio selection. Ann. Oper. Res. 131(1), 79–99 (2004)MathSciNetCrossRef Doerner, K., Gutjahr, W.J., Hartl, R.F., Strauss, C., Stummer, C.: Pareto ant colony optimization: a metaheuristic approach to multiobjective portfolio selection. Ann. Oper. Res. 131(1), 79–99 (2004)MathSciNetCrossRef
24.
Zurück zum Zitat Yang, X.-S.: Bat algorithm for multi-objective optimisation. Int. J. Bio-Inspired Comput. 3(5), 70–75 (2011)CrossRef Yang, X.-S.: Bat algorithm for multi-objective optimisation. Int. J. Bio-Inspired Comput. 3(5), 70–75 (2011)CrossRef
25.
Zurück zum Zitat Dhillon, J.S., Parti, S.C., Kothari, D.P.: Stochastic economic emission load dispatch. Electr. Power Syst. Res. 26(3), 179–186 (1993)CrossRef Dhillon, J.S., Parti, S.C., Kothari, D.P.: Stochastic economic emission load dispatch. Electr. Power Syst. Res. 26(3), 179–186 (1993)CrossRef
26.
Zurück zum Zitat Gaing, Z.-L.: Constrained dynamic economic dispatch solution using particle swarm optimization. In: IEEE, Denver, CO, USA (2004) Gaing, Z.-L.: Constrained dynamic economic dispatch solution using particle swarm optimization. In: IEEE, Denver, CO, USA (2004)
27.
Zurück zum Zitat Abido, M.A.: Multiobjective particle swarm optimization for environmental/economic dispatch problem. Electr. Power Syst. Res. 79(7), 1105–1113 (2009)CrossRef Abido, M.A.: Multiobjective particle swarm optimization for environmental/economic dispatch problem. Electr. Power Syst. Res. 79(7), 1105–1113 (2009)CrossRef
Metadaten
Titel
Multi-objective Economic and Emission Dispatch Using MOICA: A Competitive Study
verfasst von
Soheil Dolatabadi
Saeid Ghassem Zadeh
Copyright-Jahr
2020
DOI
https://doi.org/10.1007/978-3-030-34050-6_12