Preprint Article Version 3 Preserved in Portico This version is not peer-reviewed

Stabilization of Terminal Voltage and Damping the Mechanical Angle Oscillations in Single-Machine Infinite-Bus Power System Using MISO Fuzzy Controllers

Version 1 : Received: 16 January 2022 / Approved: 18 January 2022 / Online: 18 January 2022 (12:36:43 CET)
Version 2 : Received: 22 January 2022 / Approved: 24 January 2022 / Online: 24 January 2022 (13:01:54 CET)
Version 3 : Received: 12 February 2022 / Approved: 17 February 2022 / Online: 17 February 2022 (10:17:20 CET)

How to cite: M.A.S. Mahmoud, M. Stabilization of Terminal Voltage and Damping the Mechanical Angle Oscillations in Single-Machine Infinite-Bus Power System Using MISO Fuzzy Controllers. Preprints 2022, 2022010256. https://doi.org/10.20944/preprints202201.0256.v3 M.A.S. Mahmoud, M. Stabilization of Terminal Voltage and Damping the Mechanical Angle Oscillations in Single-Machine Infinite-Bus Power System Using MISO Fuzzy Controllers. Preprints 2022, 2022010256. https://doi.org/10.20944/preprints202201.0256.v3

Abstract

Abstract. This article proposes new fuzzy controller to regulation the voltage, damp the oscillations and limit the overshoot behavior in single-machine infinite-bus power system. Two different independent MISO fuzzy controllers are designed. First controller, is voltage stabilizer and it composes of two adaptive fuzzy modules and proportional gain AVR. The voltage stabilizer is designed to regulate the terminal voltage, damp the voltage oscillation and limit the voltage overshoot to the industrial maximum allowable limit. The input signals of this stabilizer is are taken from the terminal voltage and the imposed voltage disturbance that can be read from any smart relay. The fuzzy output is used as feedback signal to control the AVR in order to achieve stabilized voltage equal to the reference voltage. The second fuzzy controller is designed with two input signals; “mechanical angle” and its derivative, and one output which is used as feedback signal to adapt the damping torque in order to damp the mechanical oscillation fast and with maximum overshoot not exceeding 10%, and hence damp the power angle oscillation that is important in the PSS improvement. MATLAB-SIMULINK was used for modelling and the test cases simulation. The results show very good performance for the proposed fuzzy controllers.

Keywords

Fuzzy control; PSS; AVR; mechanical angle; power angle; oscillation damping; adaptive contro

Subject

Engineering, Control and Systems Engineering

Comments (1)

Comment 1
Received: 17 February 2022
Commenter: Muhammad M.A.S. Mahmoud
Commenter's Conflict of Interests: Author
Comment: Some references are added
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