Distributed MPC for economic dispatch and intermittence control of renewable based autonomous microgrid

This work addresses secondary level control of Autonomous Microgrid composed of Distributed Renewable Energy Sources (DRES). The interconnection of DRES forms a nonlinear system with coupled dynamics, unknown network parameters, and network topologies. The challenging features of DRES, such as low inertia, large number, volatile production capacities, and geographically wide distribution pose critical control design challenges for Economic Dispatch (ED) and frequency regulation. Whereas the distributed control schemes proposed in contemporary research are too slow to provide ED in the presence of fluctuating power demand, based on impractical assumptions or too restrictive in terms of network topology to have practical significance. Moreover, the control schemes are unable to handle the intermittent and uncertain nature of DRES and lead to instability in the presence of volatile power production capacities. Considering the above, we propose Secondary Distributed Model Predictive Control that provides fast and robust convergence and avoids impractical assumptions. A unique decoupling technique enables the application of control to generic network topologies. A constrained ED solution is derived and successfully achieved in presence of volatile production capacities of DRES. The Lyapunov stability of control is proved through terminal constraints. The performance of the proposed control is validated using an IEEE 14-Bus System.