电力系统保护与控制Issue(10)：84-89,6.
火电厂机组煤耗特性曲线拟合算法研究
Study on curve fitting algorithm for thermal power plant units coal consumption
摘要
Abstract
Coal consumption curve of the thermal power plant is usually obtained from the performance parameters which are provided by the manufacturer or from the thermal test data. These curves remain unchanged for a long time and are incompatible with the actual operation situation of the unit. Therefore, a method of coal consumption curve fitting of the thermal power plant units based on genetic algorithm is proposed. The quadratic function is used as the objective function; appropriate parameters such as initial population size, crossover rate and mutation rate are set;the unit’s actual coal consumption curves are fitted. The fitting curve of the proposed method is compared with that of the least squares method. The results indicate that fitting effect of the former is better than that of the latter. It is indicated that the proposed method can best approximate the known data in the curve fitting, and they can real-timely reflect the interdependence between unit generation and coal consumption.关键词
火电厂/遗传算法/煤耗特性曲线/曲线拟合/最小二乘法Key words
thermal power plant/genetic algorithm/coal consumption curve/curve fitting/least squares method分类
信息技术与安全科学引用本文复制引用
缑新科,崔乐乐,巨圆圆,郭涛,张顺..火电厂机组煤耗特性曲线拟合算法研究[J].电力系统保护与控制,2014,(10):84-89,6.基金项目
国家自然科学基金（61064003）资助This work is supported by National Natural Science Foundation of China (No.61064003) （No.61064003）
