用遗传算法拟合电力系统负荷短期预测的非线性模型  

The Application of Genetic Algorithm in Fitting the Nonlinear Model of Short-term Load Predition on Electric System

作　　者：蔡煜东 

机构地区：[1]上海冶金研究所

出　　处：《数理统计与管理》1995年第2期23-25,37,共4页Journal of Applied Statistics and Management

摘　　要：本文运用遗传算法，根据河北省１９８５—１９９０年春节期间每小时用电量的统计数字，建立了非线性回归模型（Ｇｏｍｐｅｒｔｄｚ），结果表明，遗传算法性能良好，可望成为电力系统各种非线性模型辨识的有效手段。Genetic algorithm is used to construct a nonlinear model (Gompertdz) according to the statistics of hourly electricity comsumption in Hebei Province during the spring festivals in 1985-1990, which shows that it operates well and is expected to become an effective tool to the definition of various nonlinear models in electrical system.

关 键 词：电力系统 遗传算法 非线性模型 负荷预测 

分 类 号：TM715[电气工程—电力系统及自动化]