A Comparative Study of Unit Commitment Problem by Dynamic Programming and Genetic Algorithm
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Publisher
Springer Singapore
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http://link.springer.com/content/pdf/10.1007/978-981-15-8439-8_6
Reference21 articles.
1. Franz A, Rieck J, Zimmermann J (2020) A long-term unit commitment problem with hydrothermal coordination for economic and emission control in large-scale electricity systems, vol 42. Springer, pp 235–259. https://doi.org/10.1007/s00291-020-00576-y
2. Kazarlis SA, Bakirtzis AG, Petridis V (1996) A genetic algorithm solution to the unit commitment problem. IEEE Trans Power Syst 11(1):83–92
3. Abdou I, Tkiouat M (2018) Unit commitment problem in electrical power system: a literature review. Int J Electr Comput Eng (IJECE) 8(3):1357–1372
4. Mantawy AH, Abdel-Magid YL, Selim SZ (1997) A new genetic algorithm approach for unit commitment. In: IEEE, second international conference on genetic algorithms in engineering systems: innovations and applications. IEEE, Glasgow, pp 215–220. https://doi.org/10.1049/cp:19971183, ISBN: 0-85296-693-8
5. Singhal PK, Naresh R, Sharma V, Goutham Kumar N (2014) Solution of unit commitment problem using enhanced genetic algorithm. In: IEEE, 18th national power systems conference (NPSC) 2014. IEEE, Guwahati, India. https://doi.org/10.1109/NPSC.2014.7103861, ISBN: 978-14799-5141-3
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