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Non-Dominated Sorting Flower Pollination Algorithm for Dynamic Economic Emission Dispatch
by
P. Paramasivan,
R.K. Santhi
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 130 - Number 9 |
| Year of Publication: 2015 |
| Authors: P. Paramasivan, R.K. Santhi |
10.5120/ijca2015907113
|
P. Paramasivan, R.K. Santhi . Non-Dominated Sorting Flower Pollination Algorithm for Dynamic Economic Emission Dispatch. International Journal of Computer Applications. 130, 9 ( November 2015), 19-26. DOI=10.5120/ijca2015907113
@article{
10.5120/ijca2015907113,
author = {
P. Paramasivan,
R.K. Santhi
},
title = { Non-Dominated Sorting Flower Pollination Algorithm for Dynamic Economic Emission Dispatch },
journal = {
International Journal of Computer Applications
},
issue_date = { November 2015 },
volume = { 130 },
number = { 9 },
month = { November },
year = { 2015 },
issn = { 0975-8887 },
pages = {
19-26
},
numpages = {9},
url = {
https://ijcaonline.org/archives/volume130/number9/23237-2015907113/
},
doi = { 10.5120/ijca2015907113 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:25:37.805908+05:30
%A P. Paramasivan
%A R.K. Santhi
%T Non-Dominated Sorting Flower Pollination Algorithm for Dynamic Economic Emission Dispatch
%J International Journal of Computer Applications
%@ 0975-8887
%V 130
%N 9
%P 19-26
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract
This paper presents a non-dominated sorting flower pollination algorithm for dynamic economic emission dispatch (DEED) problem. Non-dominated sorting flower pollination algorithm is designed to construct the pareto optimal front and a fuzzy techniques extracts the best compromised solution of DEED. Results two standard of test systems are presented to exhibit its superior performance.
References
- M.Basu, “Dynamic economic emission dispatch using non-dominated sorting genetic algorithm-II,” Electrical power and Energy systems 30 (2008) 140-149.
- Li xuebin , “Study of multi-objective optimization and multi-attribute decision-making for dynamic economic emission dispatch,” Electric power components and systems, vol. 37: pp 1133-1148, 2009.
- Elaiw A.M., Xia X,.Shehata A.M, “ Hydrid DE-SQP and hybrid PSO-SQP methods for solving dynamic economic emission dispatch problem with valve point effects,” Electric Power Systems Research 103 (2013) 192-200.
- M. Basu, “ Artificial Immune System for dynamic economic dispatch,” Electrical power and energy systems 33 (2011) 131-136.
- Pandi N, Tripati A, Tapaswi S padit M, “An improved bacterial foraging algorithm for combined static/dynamic environmental economic dispatch,” Applied soft computing 2012; 12 (11) :3500-3513.
- Yong Zhang, Dun-wei Gong, NaGeng, Xiao-yan Sun, “Hybrid bare-bones PSO for dynamic economic dispatch with valve-point effects”, Applied soft Computing 18 (2014) 248-260.
- R.Arul, S.Velusami, G.Ravi, “A new algorithm for combined dynamic economic emission dispatch with security constraints,” Energy 79 (2015) 496-511.
- Nnamdi I, Nwulu, Xiaohua Xia, “Multi-objective dynamic economic emission dispatch of electric power generation integrated with game theory based demand response programs,” Energy conservation and management 89 (2015) 963-974.
- Elaiw AM, Xia X, Shehata AM. Minimization of fuel costs and gaseous emissions of electric power generation by model predictive control. Math Prob Eng 2013;2013. Article ID 906958.
- Ramanathan R. Emission constrained economic dispatch. IEEE Trans Power Syst 1994;9:1994-2000.
- Hemamalini S, S.Simon, “Dynamic economic dispatch using artificial bee colony for units with valve point effect,” European transactions on electrical power 21(2011) 70-81.
- El.keib AA, Ma H, Hart JL. Economic dispatch in view of the clean air act of 1990. IEEE Trans power system 1994; 9 (2) : 972-978.
- IEEE current operating problems working group, “potential impacts of clean air regulations on system operations,” IEEE trans power system. Vol.10, pp.647-653,1995.
- J.H.Talaq, F.El.Hawary, M.E.El. Hawary, “A summary of environmental/ economic dispatch algorithms, IEEE Transactions on power systems, 9 (1994) 1508-1516.
- M. Basu, “ Particle swarm optimization based goal-attainment method for dynamic economic emission dispatch,” Electric Power Components and Systems.34 (2006):1015–1025.
- J.S. Alsumait, M. Qasem, J.K. Sykulski, A.K. Al-Othman.(2010). An improved pattern search based algorithm to solve the dynamic economic dispatch problem with valve-point effect, Energy Conversion and Management 51: 2062–2067.
- Xingwen jiang, jianzhong zhou, Hao wang, yongchuan zhang. Dynamic environmental economic dispatch using multiobjective differential evolution algorithm with expanded double selection and adaptive random restart. Electrical power & Energy systems. (2013) 49:399-407.
- Panigrahi CK, Chattopadhyay PK, Chakrabarti RN, Basu.M. Simulated annealing technique for dynamic economic dispatch. Electr Power Compon Syst; (2006) 34:577–86.
- Basu M. Dynamic economic emission dispatch using evolutionary programming and fuzzy satisfying method. Int J Emerg Electr Power Syst 2007; 8 (art 1).
- B. Panigrahi, P.V. Ravikumar, D. Sanjoy, Adaptive particle swarm optimization approach for static and dynamic economic load dispatch, Energy Conversion and Management (2008) 49 :1407–1415.
- V.R. Pandi, B.K. Panigrahi,. Dynamic economic load dispatch using hybrid swarm intelligence based harmony search algorithm, Expert Systems with Applications (2011) 38:8509–8514.
- R. Balamurugan, S. Subramanian.. An improved differential evolution based dynamic economic dispatch with non-smooth fuel cost function, Journal of Electrical Systems (2007) 3 (3): 151–161.
- Hemamalini S, Simon SP. Dynamic economic dispatch using artificial immune system for units with valve-point effect. Int J Electr Power Energy System. 2011; 33: 868–74.
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Computer Science
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Keywords