A new method for calculating transition process based on full characteristic modeling of turbine

IOP Conference Series

article

Xiao Liu¹  Xiaoping Jiang²  Yexiang Xiao³ 

[1] School of Mechanical Electronic & Information Engineering China university of Mining and Technology;Department of Electrical Engineering, China university of Mining and Technology beijjing;Department of Energy and Power Engineering, Tsinghua University

关键词: Pumped storage;    transition process;    BP neural network;    full characteristic curve;   

DOI  :  10.1088/1755-1315/774/1/012103

学科分类：材料科学（综合）

来源: Institute Of Physics Publishing

【 摘 要 】

Hydropower units undertake the tasks of frequency modulation and peak load regulation, flood control and discharge in flood season. When the unit working condition changes greatly, the stability of unit output will be affected. Therefore, the study of the transient process is of great significance to maintain the stability of hydropower units. This paper introduces a calculation method of transition process based on comprehensive characteristic curve. Based on the data of the comprehensive characteristic curve of Chaijiaxia hydropower station, the full characteristic surface of the turbine is obtained by BP neural network algorithm. Finally, the differential algebraic equation of the transient process of the turbine is established, and the transient process is solved by combining with the full characteristics of the turbine.

【 授权许可】

CC BY