机构地区: 华南理工大学电力学院
出 处: 《华北电力大学学报(自然科学版)》 2007年第3期55-59,共5页
摘 要: 利用最小二乘支持向量机(LSSVM)对中间储仓式制粉系统进行建模,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单耗的最佳运行方式。通过对某电厂的50 MW机组现场热态试验,表明该方法具有较高的可靠性和实用性,可以指导运行人员进行制粉系统的优化调整。 Using the Least Squport Support Vector Machines (LSSVM), a model of storage pulverizing system is established in this paper. The best mode of pulverizing system operation in different conditions with Hybrid Genetic Algorithm (HGA) is obtained. The 50 MW power plant unit has been test, and the result shows that this method has higher reliability and practicality, which can guide the operator to optimize the storage pulverizing system.
领 域: [动力工程及工程热物理]