Based on the problem that traditional modeling is difficult to meet the predictive control of high parameters and large capacity units and to achieve the expected control effect, this paper uses BP neural network to establish a dynamic model of 600 MW supercritical once through boiler unit and concludes that neural network can effectively improve the coordination, prediction and optimization of supercritical units, and also can improve the economy and safety of supercritical units.
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Research on neural network modeling of thermal power unit load system
Semantic Scholar · Engineering · 2023
Abstract
Based on the problem that traditional modeling is difficult to meet the predictive control of high parameters and large capacity units and to achieve the expected control effect, this paper uses BP neural network to establish a dynamic model of 600 MW supercritical once through boiler unit and concludes that neural network can effectively improve the coordination, prediction and optimization of supercritical units, and also can improve the economy and safety of supercritical units.