Optimal Sliding Mode Gaussian Control of Hydro Power Plants
Open Access
Author:
Rittenhouse, Benjamin David
Graduate Program:
Mechanical Engineering
Degree:
Master of Science
Document Type:
Master Thesis
Date of Defense:
April 05, 2013
Committee Members:
Alok Sinha, Thesis Advisor/Co-Advisor
Keywords:
hydro hydropower control OSG sliding mode control LQG Optimal Sliding Mode Gaussian
Abstract:
This thesis presents a study of a hydroelectric plant under different control strategies for load frequency control. Both isolated systems and systems connected to a network are considered. All simulations are carried out in the hydraulic modeling program SIMSEN in order to achieve realistic simulations. System identification is used to obtain a dynamic model of the turbine and penstock dynamics in SIMSEN and is subsequently used to build a model for the full system dynamics. An observer is used to generate the estimated state vector associated with the turbine model. Using the full system models for the hydroelectric plant, optimal sliding mode Gaussian (OSG) controllers are designed. Simulation results are compared with those of traditional Proportional Integral (PI) and Linear Quadratic Gaussian (LQG) control designs. It is shown that the OSG control method improves the system performance under a load disturbance.
