20062006 IEEE Power India ConferenceRequires access

Multivariable adaptive control of synchronous machine

Bin Wu, Om Parkash Malik

Open publisher page 5 citations

Abstract

This paper presents an application of a multivariable self-tuning controller to a single machine infinite bus system. The controller is based on generalized predictive control (GPC) with constraints placed on the control signals. It provides supplementary control signals to the excitation system and the governor system to improve power system stability. Simulation studies, which include small disturbances and large disturbances, show the efficiency of the controller to damp low frequency oscillations in a power system.

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What this paper is about

This paper presents an application of a multivariable self-tuning controller to a single machine infinite bus system. The controller is based on generalized predictive control (GPC) with constraints placed on the control signals. It provides supplementary control signals to the excitation system and the governor system to improve power system stability. Simulation studies, which include small disturbances and large disturbances, show the efficiency of the controller to damp low frequency oscillations in a power system.

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OpenAlex reports 5 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

This paper presents an application of a multivariable self-tuning controller to a single machine infinite bus system. The controller is based on generalized predictive control (GPC) with constraints placed on the control signals. It provides supplementary control signals to the excitation system and the governor system to improve power system stability. Simulation studies, which include small disturbances and large disturbances, show the efficiency of the controller to damp low frequency oscillations in a power system.

Key concepts: Multivariable calculus, Control theory (sociology), Governor, Controller (irrigation), Electric power system, Control engineering, Stability (learning theory), Computer science

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