An Application of Model-based Predictive Control for Renewables-intensive Power Distribution Grids

Abstract in recent years, growing penetration of renewable-energy-based distributed generation into power distribution grids has been compromising operational constraints. In this paper, a model-based predictive control (MPC) strategy is proposed for demand/supply balance and voltage regulation in a power distribution grid with prolific distributed generation using flexible assets (water tower and biogas plant). Then, the impact that errors of photovoltaic (PV) power generation and grid load forecasts have on its performance is examined. Results show that the proposed control scheme is efficient and resilient to forecasting errors.