AUTHOR=Yao Kun , Wang Ying , Fan Shuangshuang , Wan Jie , Wu Henggang , Cao Yong 

TITLE=Fault mechanisms and diagnosis methods for typical load mutation problems of turbo-generator sets

JOURNAL=Frontiers in Energy Research

VOLUME=Volume 10 - 2022

YEAR=2022

URL=https://www.frontiersin.org/journals/energy-research/articles/10.3389/fenrg.2022.981598

DOI=10.3389/fenrg.2022.981598

ISSN=2296-598X

ABSTRACT=As the demand for flexible peak shaving is implemented on a growing number of high-power turbo-generator sets in the power grid, load control performance of steam turbine affects the safety and efficiency of the unit operation directly. Load-following issues, especially load mutation, weaken frequency control performance of the unit easily, and cause the load fluctuation fault threatens the safety and stability of the power grid as well. However, the classification, characterization, generation mechanism and diagnostic methods of load mutation problem still lacks systematic research. Based on the operating data of lots turbo-generator set cases, three typical load mutation problems, including unreasonable parameter settings of the control system, actuator hardware failure and electrical interference, were introduced in this paper systematically. Then fault mechanisms and characterization parameters of different sets capacity were analysis and extracted respectively. Furthermore, a diagnosis method is designed according to the actual problem, based on which fault type can be determined. Case analysis of typical sets shows that this method can test and diagnose the fault quickly while the unit operating in the actual scenarios, and then determine the cause of the fault effectively. This method can also detect the fault initial features, which is convenient for daily maintenance and avoids fault aggravation.