NDLI: Improvement and Application of Simulated Annealing in Optimization of Thermal Control Systems of Power Plants

Content Provider	IEEE Xplore Digital Library
Author	Yongxia Zhang Yi Luo Daping Xu
Copyright Year	2006
Description	Author affiliation: Sch. of Control Sci. & Eng., North China Electr. Power Univ., Beijing (Yongxia Zhang; Yi Luo; Daping Xu)
Abstract	Simulate annealing is a global optimum algorithm with strong locally search ability, but its efficiency is the main obstacle to put into uses practically. In this paper, a return temperature strategy is added to enhance searching efficiency and a memory is used to ensure the quantity of solution. In the later stage, adding return temperature strategy to raise temperature and to enhance the accepting rate indirectly and the probability accepting the deterioration solutions can help to jump out the local optimization. In the meantime, a new initial solution is formed again in case of returning temperature and optimization proceeds as new searching direction. On the other hand, by means of adding a memory to keep the best result at this time, when simulate annealing process is end, the last solution compares with the one in memory, the better one is as the final solution, thus will enhance the quantity of solution. The practical application in thermal processes of power plants, such as the super-heater temperature and feed-water control systems, etc, shows that it is effective of the algorithm to raise optimization efficiency and reinforce practicality
Starting Page	6549
Ending Page	6553
File Size	266747
Page Count	5
File Format	PDF
ISBN	1424403324
DOI	10.1109/WCICA.2006.1714348
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-06-21
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Simulated annealing Control system synthesis Power generation Three-term control Control systems Temperature distribution Thermal engineering Power engineering and energy Electronic mail Temperature control optimization simulated annealing algorithm memory raise ceiling annealing
Content Type	Text
Resource Type	Article

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