摘要
利用最小二乘支持向量机(LSSVM)对直吹式中速磨制粉系统进行建模,然后采用混合遗传算法(HGA)对模型寻优,以获得不同工况下制粉系统的最佳运行方式。在某电厂200 MW机组上进行了现场试验。结果表明:该方法具有较高的可靠性和实用性,可用以指导运行人员进行制粉系统的优化调整。
Using least square supported vector machines, a model of direct-firingpulverizing systems with medial speed mills has been built, and then optimized with the help of hybrid genetic algorithm, so that the pulverizing system may stay in optimal operating mode even under different working conditions. On-site tests, conducted on a certain power plant＇s 200 MW unit, prove the method to be highly reliable and practicable. This may serve as a reference for operators, trying to optimize pulverizing systems.
出处
《动力工程》
EI
CAS
CSCD
北大核心
2007年第5期728-731,747,共5页
Power Engineering
关键词
自动控制技术
火力发电厂
直吹式制粉系统
中速磨
最小二乘支持向量机
混合遗传算法
automatic control technique
fossil-fired power plant
direct-firing pulverizing system
medial-speed mill
least square supported vector machine
hybrid genetic algorithm
