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Entropy 2014, 16(6), 3136-3148; doi:10.3390/e16063136

Minimum Entropy-Based Cascade Control for Governing Hydroelectric Turbines

1
State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Beijing 102206, China
2
School of Control and Computer Engineering, North China Electric Power University, Beijing 102206, China
*
Author to whom correspondence should be addressed.
Received: 21 January 2014 / Revised: 21 May 2014 / Accepted: 27 May 2014 / Published: 5 June 2014
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Abstract

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. View Full-Text
Keywords: minimum entropy; cascade control; hydroelectric turbines; non-Gaussian disturbances minimum entropy; cascade control; hydroelectric turbines; non-Gaussian disturbances
This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

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MDPI and ACS Style

Ren, M.; Wu, D.; Zhang, J.; Jiang, M. Minimum Entropy-Based Cascade Control for Governing Hydroelectric Turbines. Entropy 2014, 16, 3136-3148.

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