Load- and Renewable-Following Control of Linearization-Free Differential Algebraic Equation Power System Models

Electromechanical transients in power networks are mostly caused by a mismatch between consumption and production, causing generators to deviate from the nominal frequency. To that end, feedback control algorithms have been designed perform frequency load/renewable-following control. In particular, literature addressed plethora of grid- frequency-control challenges with focus on linearized, differential equation models whereby algebraic constraints [i.e., flows (PFs)] eliminated. This is contrast more realistic nonlinear (NDAE) models. Yet, as grids increasingly pushed their limits via intermittent renewables varying loads, physical states risk escaping operating regions due either poor prediction or sudden changes demands—deeming controller based linearization point virtually unusable. lieu linearized models, objective this article design simple, purely decentralized, linearization-free, law for NDAE networks. The aim such primarily stabilize oscillations after significant, unknown disturbance loads. Although involves advanced system theory, itself simple decentralized proportional linear quadratic regulator (LQR) its implementation. Case studies demonstrate proposed able dynamic under significant disturbances.