Solving dynamic economic emission dispatch problem considering wind power by multi-objective differential evolution with ensemble of selection method
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Science Applications
Link
http://link.springer.com/content/pdf/10.1007/s11047-016-9598-6.pdf
Reference28 articles.
1. Abido MA (2003) Environmental/economic power dispatch using multiobjective evolutionary algorithms. IEEE Trans Power Syst 18(4):1529–1537
2. Aghaei J, Niknam T, Abarghooee R, Arroyo JM (2013) Scenario-based dynamic economic emission dispatch considering load and wind power uncertainties. Electrical Power Energy Syst 47:351–367
3. Bahman B, Ebrahim F, Rasoul A (2013) An efficient scenario-based and fuzzy self-adaptive learning particle swarm optimization approach for dynamic economic emission dispatch considering load and wind power uncertainties. Energy 50:232–244
4. Basu M (2007) Dynamic economic emission dispatch using evolutionary programming and fuzzy satisfying method. Int J Emerg Electric Power Syst 8(4):1–15
5. Basu M (2008) Dynamic economic emission dispatch using non-dominated sorting genetic algorithm-II. Int J Electr Power Energy Syst 30(2):140–149
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