Research on the Pearson correlation coefficient evaluation method of analog signal in the process of unit peak load regulation

Abstract

Deep peak-regulating is a new requirement to thermal power unit, and the evaluation of peak load regulation performance is an important part of it. The national development and reform commission and the national energy administration proposed to strengthen the capacity building of peak load regulation and improve system flexibility. In response to the national policy, a power generation group proposed a new requirement for thermal power flexibility. It puts forward higher requirements for the range of the unit's wide load and the variable load rate. The main evaluation methods of analog signals are the mean variance method and minimum variance method. Pearson correlation coefficient method is a way to evaluate the correlation between two variables in the field of statistics. By studying the Pearson correlation coefficient method in the field of statistics, it is applied to evaluate the analog signals in the process of peak load regulation as a new evaluation method. By extracting simulation machine operation data and analyzing the curve characteristics, the evaluation results of curves were obtained, and validated the feasibility and effectiveness of the Pearson correlation coefficient method in evaluating the analog signals in the process of deep peak-regulating.