Abstract

This paper presents a method for the design of a Primary Frequency Controller applied to hydroelectric power plants. This controller is designed to maintain quality, reliability and stability to consumers even in the face of fluctuating power demand. For this purpose, a robust adaptive Generalized Predictive Control with Multiple Reference Model type controller is proposed. Simulation results on Matlab/Simulink show that the Generalized Predictive Control with Multiple Reference Model controller can not only achieve good performance under load disturbances, but also excellent robustness.

Highlights

  • Hydroelectric power stations are the third largest source of electricity in the world and the first in Cameroon in terms of electricity production

  • An electricity network is supposed to provide its consumers with quality and reliability

  • The other adjustment parameters being fixed at N1 = Nu = 1 and λ = 5, We vary the maximum value of the prediction horizon N2 for the value of the power of the load equal to 48 MW, the value corresponding to the nominal production of a turbine generator group at our hydroelectric plant

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Summary

Introduction

Hydroelectric power stations are the third largest source of electricity in the world and the first in Cameroon in terms of electricity production. An electricity network is supposed to provide its consumers with quality and reliability. Quality is linked to the conformity of these parameters, i.e. they must have voltage and frequency values within certain limits. This is important for consumers because machines are designed to operate with fixed electrical values and even small variations in these values can cause premature failure or unwanted operation. Reliability, on the other hand, is linked to the continuity and stability of the power system. A power system must be able to return to a state of equilibrium even after a disturbance

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