Abstract
With the development of electric power, Large-scale Generating Unit in heat power plant is a system which is complex,nonlinear and difficulty to establish accurate model, and etc. So it is hard to make system gain optimum running effect with conventional control strategy. Aiming at characteristic of generating unit, GA-LM algorithm optimization BP neural network is used to identify the coordinated control system for establishing a predictive model in Generalized predictive control strategy, achieves predictive control with online rolling optimization and real time feedback revision. Simulation results show its effectiveness.
This work is supported by National Nature Science Foundation under Grant 69964001; Inner Mongolia Autonomous Region Nature Science Foundation under Grant 200408020802.
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Yuan, L., Ling, H., Sun, T. (2013). The Research of Thermal Power Unit Based on Improved Neural Network Generalized Predictive Control. In: Liu, D., Alippi, C., Zhao, D., Hussain, A. (eds) Advances in Brain Inspired Cognitive Systems. BICS 2013. Lecture Notes in Computer Science(), vol 7888. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38786-9_35
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DOI: https://doi.org/10.1007/978-3-642-38786-9_35
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