摘要
为了建立用于电力系统稳定计算的汽轮机调节系统的准确模型,通过现场试验的方法得到某电厂试验数据并进行了相关预处理,采用果蝇优化算法对该电厂汽轮机调节系统各环节的参数进行辨识,最后对辨识结果进行仿真校核,给出仿真曲线与实测曲线的对比结果,并计算出各误差指标.结果表明:所采用的果蝇优化算法适用于汽轮机调节系统参数辨识,经过仿真校核得到的模型与机组实际特性趋于一致,验证了该方法的实用有效性.
To establish an accurate model of steam turbine governing system for stability calculation of the power system, the fruit fly optimization algorithm （FOA） was applied to identify the parameters of the governing system based on preprocessed field test data of a thermal power plant. Simulation and verifica- tion were conducted to the parameters identified, and a comparison was made between simulated and meas- ured curves, following which corresponding error indicators were calculated. Results show that the charac- teristics of the model obtained by simulation and verification agree well with that of the actual model, pro- ving the method to be practicable and effective.
出处
《动力工程学报》
CAS
CSCD
北大核心
2015年第7期556-561,共6页
Journal of Chinese Society of Power Engineering
基金
国家自然科学基金资助项目(61203107)
中央高校基本科研业务费专项资金资助项目(13MS90)
关键词
果蝇优化算法
汽轮机
调节系统
参数辨识
仿真校核
fruit fly optimization algorithm steam turbine governing system parameter identificationsimulation and verification
