可再生能源2018，Vol.36Issue(1)：43-50,8.
基于信赖域法改进的BP网络在新能源并网方面的研究
Research on improved BP network in new energy integration based on trust region method
摘要
Abstract
Frequency regulation of traditional large power grid is mainly regulated by PID combined the intelligent algorithms,these systems have hysteresis,which can't effectively control the larger frequency fluctuations.Therefore,the neural network model is introduced to implement the advanced control of frequency from the point of view of load forecasting.Through the trust region method,the existing BP neural network model is improved,the learning speed and prediction accuracy are improved.Then,a frequency control strategy of large power grid based on load forecasting system is designed.The optimal adjustment of the unit is realized by the classification of predicted loads,and the unnecessary spinning reserve capacity is reduced.Three kinds of new energy-traditional energy simulation models of complementary generators are built,and the effect of frequency control on load forecasting is simulated and analyzed.Simulation results show that compared with traditional frequency control,the frequency fluctuation of large power grid under load forecasting control is smaller and the regulation time is further shortened.关键词
大电网/神经网络/信赖域/频率调节/负荷预测/新能源Key words
large power grid/neural network/trust region method/frequency regulation/load forecasting/NE分类
能源科技引用本文复制引用
张凤林,陈峦,姚亮,鲁尔洁,杨云聪,张珺..基于信赖域法改进的BP网络在新能源并网方面的研究[J].可再生能源,2018,36(1):43-50,8.基金项目
国家自然科学基金项目(61304177) （61304177）
四川省教育厅科研项目(15ZB0345). （15ZB0345）
