Enhancing Power Network Stability Using Neuro-Fuzzy Controllers for Inter-Area Oscillation Damping

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Mousavi Khademi Mohammadreza; Zakeri Alireza

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Seminar Paper

Paper Information

Seminar: کنفرانس بین المللی پژوهش های کاربردی در علوم پایه، مهندسی و تکنولوژی
Year:2025 | Issue:11

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Title

Enhancing Power Network Stability Using Neuro-Fuzzy Controllers for Inter-Area Oscillation Damping

Author(s)

Mousavi Khademi Mohammadreza | Zakeri Alireza

Keywords

Automatic Generation Control (AGC)

Power System Stabilizer (PSS)

Frequency fluctuations

Fuzzy neural control

Modern electrical networks

System stability

Abstract

Continuous load variations in power networks result in fluctuations in network frequency, transmission line power flow, and the output of generating units. In modern networks, the Automatic Generation Control (AGC) system uses a parameter called the Area Control Error (ACE) to restore the frequency to its nominal value and regulate inter-area power transfers to scheduled values. Additionally, controllers like the Power System Stabilizer (PSS), aimed at mitigating long-term rotor angle oscillations in generators, are crucial. The concurrent design of AGC and PSS is essential, as both controllers operate by regulating the generator’s excitation field current and must function without interference. This thesis paper a control strategy based on a neuro-fuzzy controller for inter-area oscillation damping. This control system is capable of simultaneously managing local and inter-area oscillations without disrupting the operation of other dynamic controllers. The primary goal of this research is to enhance the stability and efficiency of modern power networks.

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