Abstract
A new method based on immune algorithm to solve the thermal unit commitment problem(UCP) is proposed. Through analysis of mathematical model of UCP, application method of immune algorithm was discussed in detail. In the algorithm, the objective function was deemed antigen and the solutions were deemed antibodies. If an antibody fits the antigen best, this antibody was deemed the optimum solution. Encoding the continuous operating time shortened the code length and the searching speed of algorithm was improved greatly. The proposed method was applied in a ten-unit system for a 24 hours period. The calculation results showed immune algorithm had well global searching performance and it was efficient to use this algorithm to solve UCP.
Chapter PDF
Similar content being viewed by others
6. References
Cai Chao-hao, Cai Yuan-yu. 1997. Optimization of unit commitment by genetic algorithm. Power System Technology, 21(1):44–47, 51. (in Chinese)
Gao Jie. 2001. the Application of the immune algorithm for power network planning. Systems Engineering-Theory & Practice, 5:119–123. (in Chinese)
Han Xue-shan, Liu Zhuo. 1994. Optimal unit commitment considering unit’s ramp-rate limits. Power System Technology, 6:11–16. (in Chinese)
Sun Yongzhi, Wei Wei. 2002. Solution of optimal power flow problem based on artificial immune algorithm. Automation of Electric Power Systems, 26(12):30–34. (in Chinese)
Pei Jin-yong, Lai Yi-fei, Chen Pin et al. 2001. Modified genetic algorithm for optimizing combination of units. Engineering Journal of Wuhan University, 34(l):72–76. (in Chinese)
Shi Qi, Li Cheng-jun, Wang Jin-wen. 2002. the Application of genetic algorithm to short-term generation scheduling. Proceedings of the EPSA, 14(2):56–59. (in Chinese)
Shyh-Jier Huang. 1999. Enhancement of thermal unit commitment using immune algorithms based optimization approaches. Electrical Power and Energy Systems, 21:245–252.
S.O. Orero, M.R. Irving. 1997. A combination of the genetic algorithm and Lagrangian relaxation decomposition techniques for the generation unit commitment problem. Electric Power Systems Research, 43:149–156.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2006 International Federation for Information Processing
About this paper
Cite this paper
Li, W., Sheng, D., Chen, J., Yuan, Z., Cen, K. (2006). A New Method Based on Immune Algorithm to Solve the Unit Commitment Problem. In: Wang, K., Kovacs, G.L., Wozny, M., Fang, M. (eds) Knowledge Enterprise: Intelligent Strategies in Product Design, Manufacturing, and Management. PROLAMAT 2006. IFIP International Federation for Information Processing, vol 207. Springer, Boston, MA . https://doi.org/10.1007/0-387-34403-9_117
Download citation
DOI: https://doi.org/10.1007/0-387-34403-9_117
Publisher Name: Springer, Boston, MA
Print ISBN: 978-0-387-34402-7
Online ISBN: 978-0-387-34403-4
eBook Packages: Computer ScienceComputer Science (R0)