A Data-Driven Evaluation Method for Output Curtailment of Thermal Power Units Considering Temperature Impact

Le résumé fourni par la source

In summer, the high ambient temperature leads to a decrease in the power generation efficiency of thermal power units, which affects their power generation capacity. This paper proposes a data-driven evaluation method for the output curtailment of thermal power units considering temperature impact. Firstly, correlation analysis is conducted based on massive data to identify the key factors affecting unit output in summer. Secondly, a mathematical model describing the relationship between the output curtailment of thermal power units and ambient temperature is constructed. Finally, combined with the ambient temperature from weather forecasts, the backpressure of the unit is predicted, and the output curtailment value of the thermal power unit under summer operating conditions is further calculated. Taking a thermal power unit in a certain province of China as an example, the results show that the proposed method can guide power generation enterprises to improve the accuracy of curtailment declaration and enrich dispatching management methods.

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