Factors influencing farmers' utilization of auto-guidance technology in Northern Utah.

摘要

This research explores a Linear Parameter Varying (LPV) modeling and optimization methodology for power plants. A hydro power plant is assumed to be decomposable into its subsystems whose characteristics involve different dynamical behaviors related to a set of real-time time-varying parameters that can be measurable in future periods. The nonlinear power plant dynamics are expressed in terms of two parameter-dependent model to efficiently characterize the plant dynamical changes to achieve superior analysis and control frameworks, especially in contemporary smart grid networks. The hydro power plant, two LPV model open-loop and closed loop analysis illustrate a valuable tool for optimal nonlinear power plant optimization. The configuration is then simulated in MATLAB to demonstrate the effectiveness of the formulated control system when deployed in a smart grid environment.