Distributed Model Predictive Control for voltage coordination of large-scale wind power plants

This paper presents a Distributed Model Predictive Control (DMPC)-based algorithm for distributed and coordinated voltage control of wind power plants. Under the proposed approach, magnitude at point connection plants is optimally controlled to meet requirements. In conventional centralized each farm tracks signals set by Transmission System Operator but DMPC responds locally mitigate deviations without central commands. The problem cast as one optimal control, which solved every time step optimization. A dual decomposition scheme solve optimization where voltages common nodes are used consensus term coordination. order extend applicability this carefully designed in such way that it does not require any change inner electrical machines, controls or compensators. has been tested on an IEEE 9-bus system with two 14-bus three both cases, directly connected. Following analysis achievable performance computational resources consumed local algorithm, results simulations confirm approach suitable coordination acceptable scalable results.