燃气—蒸气联合循环的神经网络变工况模拟

Simulation on load variation of combined cycle by ANN

燃气—蒸汽联合循环的变工况模型是多机组发电厂负荷优化的基础,而影响联合循环实际工况的非线性因素众多,依据热力学模型准确建模有较大困难。本文采用近代人工神经网络对GE的9F级燃气—蒸汽联合循环建立变工况模型,分析模型可行性和讨论相关结论。

Load variation model of combined cycle is the basic of optimal work for the power plant. Many nonlinear factor have effect on load variation of combined cycle.This article will use Artificial Neural Network（ANN） to simulate the performance of combined cycle when the load changed,then discuss the result and give scane suitable advice.