AUTHOR=Li Yanping , Hong Feng , Tian Liang , Chen Jiyu , Du Hao , Liu Jizhen 

TITLE=Condition monitoring and early fault warning of power plant auxiliary equipment using LSTM-SDAE model with an adaptive threshold

JOURNAL=Frontiers in Energy Research

VOLUME=Volume 10 - 2022

YEAR=2023

URL=https://www.frontiersin.org/journals/energy-research/articles/10.3389/fenrg.2022.1037539

DOI=10.3389/fenrg.2022.1037539

ISSN=2296-598X

ABSTRACT=With the rapid development of renewable energy, the primary frequency control (PFC) is becoming more critical and significant to ensure the stability of the electrical power system. As the main role of PFC, the coal-fired power unit tends to in a wide operation interval, and the changes in PFC characteristics along with working conditions are inevitable. By decomposing and quantifying the dynamic energy conversion process, this paper proposed a novel mechanism to evaluate the PFC capability for the supercritical coal-fired power plants that covered 30-100% of the rated load. In the mechanism, a refined steam turbine model is established to reflect the short-term dynamic response of PFC by combining with the coupling characteristics of the main steam valve and main steam pressure in the later phase. Meanwhile, as a new prior assessment index, the equivalent electricity has been put forward to quantify the PFC capability for the power plant. By a case study of a 600 MW supercritical power plant, the capacities of PFC under 30-50% of the rated load are quantified for the first time. Comparison results between theoretical calculation and real PFC test show that the proposed PFC capability assessment mechanism has acceptable accuracy of 96.1%, which could be effective to assess the frequency response reserve and stability margin in the grid.