Ventilation Optimization in Pulverizing System of Intermediate Storage Bunker Based on GRNN-GA
Giving to the variant working condition and the safe factors, the designed power of eject powder air fan of pulverizing system is always excessive in thermal power plant that brings on house power of thermal power plant on the high side. Searching the best Ventilation is an availability measure to bring down house power. Establishing ventilation mathematical model in pulverizing system of intermediate storage bunker by GRNN and searching optimal working condition by GA, then acquired the optimal adjusting measure of ventilation optimization in pulverizing system. Collecting real time data of a hot 50MW unit scene of power plant and adopting above means acquired the adjusting measure. The adjusting result indicated the method can bring down electricity consumption of ventilation system in effect and improve economic benefit in thermal power plant.
Ventilation optimization Pulverizing system Generalized regression neural network Genetic algorithm
Ding-ping Liu Xiang-rong Ye
College of Electric Power, South China University of Technology, Guangzhou, 510640, China
国际会议
2007杭州国际动力工程会议(The International Conference on Power Engineering 2007)
杭州
英文
2007-10-23（万方平台首次上网日期，不代表论文的发表时间）