摘要
为了研究双馈水轮发电机系统的负荷优化调节性能,结合实例对双馈水轮发电机和常规水轮发电机在相同运行工况下的优化调节特性进行了比较分析,应用一种改进的BP算法——Levenberg-Marquardt反向传播方法建立了水轮机优化调节特性的数学模型,并与其它模型的计算结果进行了比较。计算结果证明了基于改进BP神经网络算法建立的双馈水轮发电机负荷优化调节特性模型的有效性。
To study the load optimal regulative characteristics of doubly fed hydrogenerator system, the optimal regulative characteristics of doubly fed hydrogenerator and conventional synchronous generator are compared under the same operation condition in terms of practical case. Using an improved back propagation (BP) neural network algorithm, namely Levenberg- Marquardt BP algorithm, the mathematical model for optimal regulative characteristic of hydroturbine is built up and the calculation results of this model are compared with those of other models. The calculation results prove that the model for load optimal regulative characteristic of doubly fed hydrogenerator based on improved BP neural network algorithm is effective.
出处
《电网技术》
EI
CSCD
北大核心
2005年第9期31-35,共5页
Power System Technology
