电力系统保护与控制
電力繫統保護與控製
전력계통보호여공제
POWER SYSTM PROTECTION AND CONTROL
2014年
10期
84-89
,共6页
缑新科%崔乐乐%巨圆圆%郭涛%张顺
緱新科%崔樂樂%巨圓圓%郭濤%張順
구신과%최악악%거원원%곽도%장순
火电厂%遗传算法%煤耗特性曲线%曲线拟合%最小二乘法
火電廠%遺傳算法%煤耗特性麯線%麯線擬閤%最小二乘法
화전엄%유전산법%매모특성곡선%곡선의합%최소이승법
thermal power plant%genetic algorithm%coal consumption curve%curve fitting%least squares method
火电厂机组的煤耗特性曲线一般是由生产厂家提供的性能参数或通过热力试验数据获得的,这些曲线长期保持不变,导致与机组实际运行情况不符。以解决这一问题为目的,提出了基于遗传算法对火电厂机组的煤耗特性曲线进行拟合的方法。该方法采用二次函数作为目标函数;设置适当的初始种群数、交叉率和变异率等参数;对机组的实际煤耗特性曲线进行了拟合。对遗传算法拟合曲线与最小二乘法拟合曲线进行了比较,结果表明拟合效果前者优于后者,进一步说明采用该方法进行曲线拟合在一定意义下能最佳逼近已知数据,实时反映出火电厂机组发电量与煤耗量之间的依赖关系。
火電廠機組的煤耗特性麯線一般是由生產廠傢提供的性能參數或通過熱力試驗數據穫得的,這些麯線長期保持不變,導緻與機組實際運行情況不符。以解決這一問題為目的,提齣瞭基于遺傳算法對火電廠機組的煤耗特性麯線進行擬閤的方法。該方法採用二次函數作為目標函數;設置適噹的初始種群數、交扠率和變異率等參數;對機組的實際煤耗特性麯線進行瞭擬閤。對遺傳算法擬閤麯線與最小二乘法擬閤麯線進行瞭比較,結果錶明擬閤效果前者優于後者,進一步說明採用該方法進行麯線擬閤在一定意義下能最佳逼近已知數據,實時反映齣火電廠機組髮電量與煤耗量之間的依賴關繫。
화전엄궤조적매모특성곡선일반시유생산엄가제공적성능삼수혹통과열력시험수거획득적,저사곡선장기보지불변,도치여궤조실제운행정황불부。이해결저일문제위목적,제출료기우유전산법대화전엄궤조적매모특성곡선진행의합적방법。해방법채용이차함수작위목표함수;설치괄당적초시충군수、교차솔화변이솔등삼수;대궤조적실제매모특성곡선진행료의합。대유전산법의합곡선여최소이승법의합곡선진행료비교,결과표명의합효과전자우우후자,진일보설명채용해방법진행곡선의합재일정의의하능최가핍근이지수거,실시반영출화전엄궤조발전량여매모량지간적의뢰관계。
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.