A new method for calculating transition process based on full characteristic modeling of turbine. Issue 1 (June 2021)

• Record Type: Journal Article
• Authors: Liu, Xiao; Jiang, Xiaoping; Xiao, Yexiang
• Is Part Of: IOP conference series. Volume 774:Issue 1(2021)
• Publication Date: 2021-06
• Subjects: Pumped storage -- transition process -- BP neural network -- full characteristic curve; Earth sciences -- Periodicals; Environmental sciences -- Congresses; Environmental sciences -- Periodicals; 550.5
• DOI: 10.1088/1755-1315/774/1/012103
• Languages: English
• ISSNs: 1755-1307

Abstract

Abstract: 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.