摘要
研究神经网络技术在发电厂仿真和控制中的应用潜力。人工神经网络利用一个实际电站直流锅炉试验数据训练神经网络的预测模型，使其能够学会电厂的性能特性，并能预测系统的响应。神经网络控制模型能根据指定约束条件，产生合理的动作。
This paper presents a study to the potential application of neural network in power plant simulation and control.Having been trained with the test data obtained from an actual utility once through boiler,the predictive models of neural network can learn the operation performance of the power plant and forecast system responses.The neural network control models can act to simulate power plant operation and to control operation parameters according to the specified conditions.
出处
《热力发电》
CAS
北大核心
1999年第5期39-42,共4页
Thermal Power Generation
