Minimum Entropy-Based Cascade Control for Governing Hydroelectric Turbines

In this paper, an improved cascade control strategy is presented for hydroturbine speed governors. Different from traditional proportional-integral-derivative (PID) control and model predictive control (MPC) strategies, the performance index of the outer controller is constructed by integrating the...

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Bibliographic Details
Published inEntropy (Basel, Switzerland) Vol. 16; no. 6; pp. 3136 - 3148
Main Authors Ren, Mifeng, Wu, Di, Zhang, Jianhua, Jiang, Man
Format Journal Article
LanguageEnglish
Published Basel MDPI AG 01.06.2014
Subjects
Cascade control
Disturbances
Entropy
Hydroelectric powerplants
hydroelectric turbines
minimum entropy
non-Gaussian disturbances
Proportional integral derivative
Simulation
Strategy
Tracking errors
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Summary:In this paper, an improved cascade control strategy is presented for hydroturbine speed governors. Different from traditional proportional-integral-derivative (PID) control and model predictive control (MPC) strategies, the performance index of the outer controller is constructed by integrating the entropy and mean value of the tracking error with the constraints on control energy. The inner controller is implemented by a proportional controller. Compared with the conventional PID-P and MPC-P cascade control methods, the proposed cascade control strategy can effectively decrease fluctuations of hydro-turbine speed under non-Gaussian disturbance conditions in practical hydropower plants. Simulation results show the advantages of the proposed cascade control method.
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ISSN:1099-4300
1099-4300
DOI:10.3390/e16063136