Linear Parameter Varying Modeling and Control of a Nonlinear Power Plant

Abstract

This study explores different Linear Parameter Varying (LPV) modeling approaches and optimization methodology for a nonlinear hydro power plant. The overall hydro plant dynamics is assumed to be decomposable to its subsystems whose overall characteristics involve different dynamical behaviors related to two real-time time-varying parameters that can be measurable in future periods. The hydro plant dynamics are expressed in terms of an LPV model with two time-varying parameters to efficiently characterize the plant dynamical variations to compare as well as achieve superior modeling, analysis and control frameworks, especially in contemporary smart grid networks. The two-parameter LPV hydro plant model control system configurations and corresponding simulations illustrate a valuable computational tool for nonlinear power plant optimization.