ADAPTIVE CONTROLLER FOR A SYNCHRONOUS GENERATOR IN A STOCHASTIC POWER SYSTEM ENVIRONMENT (COMPUTERS, STABILITY, SIMULATION)
Abstract
This thesis presents a method for the assessment of stability for an adaptive controller subjected to stochastic disturbances. A self-tuning controller for the excitation system of a synchronous machine is presented. Excitation of synchronous generators is utilized to control voltages in a power system transmission network through control of reactive power flows. It has been recognized that excitation control has an important effect on the stability of synchronous machines. Conventional design practices for analog controllers for synchronous machines do not fully take into account the nonlinear and stochastic nature of a power system environment. New and fast digital computers or microprocessors, applications of self-tuning controllers and digital control theory provide more adequate design and control in power systems. The adaptive controller subjected to stochastic disturbances of constant variance is affected primarily in the parameter identification process rendering instability of the system in some cases. The findings are relevant because the stability of the system depends on the variance of the noise and not on its probability density function.
Degree
Ph.D.
Subject Area
Electrical engineering
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