POWER GENERATION PERFORMANCE EVALUATION METHOD AND APPARATUS FOR POWER GENERATOR SET

摘要

A power generation performance evaluation method and an apparatus thereof for a generator set are provided according to the embodiments of the present invention, which are related to the technical field of power apparatuses and are able to provide an accurate evaluation for the power generation performance of the generator set in combination with historical operation data of the generator set. The method comprises the following steps of: acquiring historical operation data of at least one generator set; selecting training data of each generator set from the historical operation data; obtaining a longitudinal power generation amount prediction model of the at least one generator set by calculating the training data of each generator set through an artificial intelligence algorithm based on data mining; and acquiring to-be-evaluated operation data of a to-be-evaluated generator set among the at least one generator set, and inputting the to-be-evaluated operation data into a corresponding longitudinal power generation amount prediction model to detect whether the longitudinal power generation performance of the to-be-evaluated generator set is normal. Embodiments of the present invention are used for evaluation of the power generation performance of the generator set.

主权项

1. A power generation performance evaluation method for a generator set, comprising the following steps of:
acquiring historical operation data of at least one generator set, wherein the historical operation data are used to characterize the power generation performance of the generator set; selecting training data of each generator set from the historical operation data; obtaining a longitudinal power generation amount prediction model of the at least one generator set by calculating the training data of each generator set through an artificial intelligence algorithm based on data mining; and acquiring to-be-evaluated operation data of a to-be-evaluated generator set among the at least one generator set, and inputting the to-be-evaluated operation data into a corresponding longitudinal power generation amount prediction model to detect whether the longitudinal power generation performance of the to-be-evaluated generator set is normal.