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Prediction of Primary Frequency Regulation Capability of Power System Based on Deep Belief Network
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作者 Wei Cui Wujing Li +4 位作者 Cong Wang Nan Yang Yunlong Zhu Xin Bai Chen Xue 《国际计算机前沿大会会议论文集》 2020年第2期423-435,共13页
The primary frequency response ability plays a crucial role in the rapid recovery and stability of the power grid when the grid is disturbed to generate a power imbalance.In order to predict the primary frequency cont... The primary frequency response ability plays a crucial role in the rapid recovery and stability of the power grid when the grid is disturbed to generate a power imbalance.In order to predict the primary frequency control ability of power system,a new model is proposed based on deep belief networks.The key feature of the proposed model lies in the fact that it considers three key factors,i.e.,disturbance information,system state feature,and unit operation mode.Through this way,it predicts the primary frequency control ability of the power system accurately.The simulation results on real power system data verify the feasibility and accuracy of the proposed model. 展开更多
关键词 Primary frequency control Power system Deep belief neural network PREDICTION
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