Abstract
A new method, Dual Heuristic Programming (DHP) is introduced for the excitation control system of synchronous generator in this paper. DHP is one type of Approximate Dynamic Programming (ADP), which is an adaptive control method. Nonlinear function fitting method is used to approximate the performance index function of dynamic programming, so that ADP can get optimal control for the plant. In this paper, DHP implements the adaptive control of the excitation system of synchronous generators. Results show that the DHP method performs better than the conventional PID method in excitation control of synchronous generators. The DHP method has obtained a more rapid response. More over, it can optimize the performance globally, which reduced the swinging of excitation voltage and the energy consumption.
This work was supported by the Students Research Training of Tsinghua University.
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Lin, Y., Lu, C. (2011). Application of Dual Heuristic Programming in Excitation System of Synchronous Generators. In: Liu, D., Zhang, H., Polycarpou, M., Alippi, C., He, H. (eds) Advances in Neural Networks – ISNN 2011. ISNN 2011. Lecture Notes in Computer Science, vol 6677. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21111-9_21
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DOI: https://doi.org/10.1007/978-3-642-21111-9_21
Publisher Name: Springer, Berlin, Heidelberg
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