Distributed Model Predictive Control of Wind Farms for Short-Term Grid Support

The increasing share of power generation from inverter-coupled sources leads to faster transients in the power grid and makes it necessary to provide new methods for wind farms also to participate in grid support for short-term disturbances. This paper proposes to use distributed model predictive control of wind farms allowing to compensate such disturbances better than established control schemes, while considering relevant constraints on states and inputs.