Analysis and optimization method of primary frequency regulation of thermal power unit based on bp neural network algorithm

Abstract

The invention discloses a method for analyzing and optimizing primary frequency modulation of a thermal power unit based on a BP neural network algorithm, comprising the following steps: acquiring primary frequency modulation performance index assessment data, operation data uploaded by a PMU subsystem of a thermal power generating set, and corresponding thermal power generating set DCS system and DEH The relevant operating data of the unit in the system; the index in the performance index assessment of a frequency modulation is calculated for correlation with the factors that may affect the performance of a frequency modulation assessment, and the derived variables of the influencing factors are extracted according to the calculation results; a frequency modulation analysis is constructed using the BP neural network algorithm With the diagnostic system, pattern recognition is performed on the performance index results of a frequency modulation assessment, and system parameters are trained; the derivative variables are mutated within the constraints, and substituted into the trained BP neural network model for iterative calculation; according to the satisfaction of the model output, it becomes a qualified derivative variable The direction and degree of variation of the frequency modulation performance are reversely analyzed for the reasons for the failure of the primary frequency modulation performance evaluation index, and the optimization plan is obtained.

Description

technical field [0001] The invention relates to the field of generating sets, in particular to a method for analyzing and optimizing the primary frequency regulation of a thermal power set based on a BP neural network algorithm. Background technique [0002] The prior art is not pertinent and practical for comprehensively improving the primary frequency regulation performance of thermal power units. First of all, the different parameters of thermal power units, different operating equipment states, and even differences in unit-related configuration logic determine that each unit has different reasons for the failure of a frequency regulation action assessment result. There is a single factor but more of a combination of multiple factors. Therefore, it is necessary to carry out comprehensive analysis and optimization from multiple aspects. Therefore, it is particularly necessary to conduct targeted analysis and diagnosis of the primary frequency regulation action of each uni...

AI Technical Summary

Problems solved by technology

Existing technologies can only predict the current primary frequency modulation capability, or only find the reason why primary frequency modulation is evaluated from a single factor, or find out the reasons that affect primary frequency modulation performance evaluation indicators, but cannot further propose qualitative and quantitative improvement methods or Opinion

Images