Study on optimal scheduling model of NSGA-II algorithm for system of hydro and thermal power plants

Shuili Fadian Xuebao/Journal of Hydroelectric Engineering

Volumn 29, Issue 1, 2010, Pages 213-218

  Zhang, Zhigang ^a   Ma, Guangwen ^a  

^a SICHUAN UNIVERSITY   (China)

Author keywords

Energy saving and emission reduction; Generation scheduling; Hydro and thermal electric plants; Hydropower engineering; NSGA II

Indexed keywords

ELECTRIC PLANTS; ENERGY SAVING; ENERGY-SAVING AND EMISSION-REDUCTION; GENERATION SCHEDULING; HYDROPOWER ENGINEERING; NSGA-II;

COST REDUCTION; COUPLINGS; ELECTRIC GENERATORS; ELECTRIC POWER SYSTEMS; ENERGY CONSERVATION; ENERGY CONVERSION; GAS EMISSIONS; GAS PLANTS; HYDROELECTRIC POWER; LEAKAGE (FLUID); MULTIOBJECTIVE OPTIMIZATION; SCHEDULING ALGORITHMS; SEWAGE; THERMOELECTRIC POWER PLANTS; UNDERGROUND STRUCTURES; WASTEWATER;

HYDROELECTRIC POWER PLANTS;

EID: 77950576550     PISSN: 10031243     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (11)

1. [2007-08-20], http://www.gov.cn/gongbao/content/2007/content-744115.htm.
2. Srinivas N, Kalyanmoy Deb. Multi-objective optimization using nondominated sorting in genetic algorithms[J]. Evolutionary Computation. 1994, 2(3): 221-248.
3. Zilzler E, Thiele L. Multi-objective optimization using evolutionary algorithm for multi-objective optimization[A]. Proceedings of the 1999 Congress on Evolutionary Computation[C]. Piscataway: New Jersey: IEEE Service Center. 1999, 98-105.
4. WANG Li, MAN Guangwen. Genetic Algorithm in Hydro Station Economic Dispatch.[J]. Proceedings of the CSEE, 1998, 18(1): 64-66. (in Chinese)
5. MA Rui, HE Renmu, YAN Hongwen, et al. A novel multi-objective optimal group and block bidding model for hydrothermal power market[J]. Proceedings of the CSEE, 2004. 24(11): 53-57. (in Chinese)
6. Goldberg D E. A comparative analysis of selection schemes used in genetic algorithms[A]. In: Foundations of Genetic Algorithms[C]. San Mateo, CA: Morgan Kaufmann, 1991: 69-93.
7. Hisashi Tamaki, Hajime Kita, Shigenobu Kobayashi. Multi-objective optimization by genetic algorithms: a review. in toshio fukuda and takeshi furuhashi[A]. Proceedings of the 1996 International Conference on Evolutionary Computation(ICEC'96)[C]. IEEE Nagoya, Japan: 1996. 517-522.
8. Kalyanmoy Deb, Mutiobjective optimization using evolutionary algorithms[M]. Chichester, U. K: Wiley, 2001.
9. Kalyanmoy Deb, Amrit Pratap, Sameer Agarwal, et al. A fast and elitist multiobjective genetic algorithm: NSGA-II. IEEE Transactions on Evolutionary Computation[J]. 2002, 6(2): 182-197.
10. WANG Xiuli, LI Shuhui, CHEN Haoyong, WANG Xifan, MEI Yao. Multi-objective and Multi-district Transmission Planning Based on NSGA-II and Cooperative Co-evolutionary algorithm[J]. Proceedings of the CSEE, 2006, 26(12): 26-32. (in Chinese).
11. Basu M. An Interactive fuzzy satisfying method based on evolutionary programming technique for multi objective short-term Hydro thermal scheduling[J]. Electric Power Systems Research, 2004, 69(2-3): 277-285.