Research on Coal Consumption Calculation of Coal-fired Power Plant Power Supply Based on PCA-ISSA-GRU
With the transformation of the domestic power system and market trading mechanism,the competition pressure between coal-fired power plants is increasing.As an important indicator to measure the economic benefits of power plants,the accurate calculation of power supply coal consumption is becoming increasingly important.This article proposes a power supply coal consumption calculation model based on the PCA-ISSA-GRU method.Firstly,the sliding window method is used to perform steady-state screening on the data,and the principal component analysis(PCA)method is used to perform feature screening on the processed data,selecting the most relevant input parameters.Secondly,analyze the external environment of the unit and use the K-means method to ultimately determine 8 different operating conditions.Finally,in order to make the model calculation more accurate,the improved Sparrow Algorithm(ISSA)is used to optimize the hyperparameters of the Gated Recurrent Unit(GRU).Verify the historical data of a 600MW unit in Shanghai and compare the prediction accuracy between different combination models.The results show that the calculation of coal consumption for power supply using the model in this article is consistent with the actual situation,with an average error of 1.32 g/(kW·h)and a relative error of±1％.The model has high calculation accuracy and strong generalization ability,making it suitable for calculating coal consumption for coal-fired power plants.At the same time,the comparison of comprehensive evaluation indicators shows that the prediction model constructed in this article has higher accuracy and better performance than other prediction models.
coal consumption for power supplythermal power unitsbig data processingimproving the Sparrow Algorithmgate control loop unit
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