Research on Threshold Warning of Pumped Storage Units Based on Operational Data

This paper conducts research on threshold warning for pumped storage units based on operational data. By using historical operating data of pumped storage units, potential problems can be predicted in advance, which helps prevent serious failures of the units and improve safety and stability. In addition, combining the predictive model established in the previous section, establishing an effective threshold warning model can help reduce maintenance costs, improve equipment availability, reduce downtime, optimize energy efficiency, promote scientific decision-making and management, and have a positive impact on environmental protection. This research not only promotes innovation in pumped storage technology, but also provides forward-looking technical support for achieving sustainable development goals. Early warning is the process of evaluating and analyzing the causes and development patterns of an event, and responding and handling the hazardous factors that arise in a timely manner to control the event. The main part of early warning analysis lies in the selection of warning indicators and the establishment of warning models.