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Study on the Method for Optimal Load Dispatch of Thermal Power Units Under the AGC Mode

Author: WangJianJun
Tutor: LiYong
School: Tohoku Electric Power University
Course: Thermal Power Engineering
Keywords: Thermal power units Optimal load distribution Real-time scheduling Particle swarm optimization BP neural network
CLC: TM621
Type: Master's thesis
Year: 2011
Downloads: 110
Quote: 0
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Abstract


In recent years, with China's power grid to minimize the difference between peak and valley growing thermal power units most of the time not in full load or near full load state . Actual total load of the whole plant is lower than the rated load units how to distribute the load in order to not only meet the needs of the power plant to reduce costs and meet grid scheduling to optimize the allocation of the real-time requirements of the load , the promotion of optimal load distribution method thermal power units the key to the application . To this end , this paper first online monitoring methods based on the main condensate flow turbine main steam flow unit coal consumption characteristic curve correction , an application example to verify the accuracy and usefulness of the proposed method . Secondly, for the the grid scheduling optimal load distribution of real-time requirements of the concept of load to optimize the distribution of the total time , and given a specific formula , reasonable to establish the mathematical model , the optimization algorithm to quickly complete the grid scheduling load instructions a basis . The coal consumption , pollutant emissions , load adjustment time multi-objective mathematical model and to improve it to deal with the mathematical model of the single - target . Particle swarm algorithm and its improvements , its application to specific problems have been dealt with on the optimal load distribution problem ; contradiction between the time and the quality of solutions for intelligent algorithm optimization proposed based on improved BP real-time network optimal load distribution method , adaptive genetic algorithm by changing ectopic allocation result data as training samples of the BP network training , the trained BP network for real-time load distribution . Finally, through the analysis of a thermal power plant application instance , verify the validity of the proposed mathematical model and optimization algorithm , to meet the real-time requirements of the power plant to reduce costs need and grid scheduling .

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CLC: > Industrial Technology > Electrotechnical > Power generation, power plants > Power plant > Thermal power plants, thermal power stations
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