Distributed MPC with application to AGC of power system with wind-photovoltaic hybrid generation

In modern power system, renewable energy (e.g., wind and solar energy) is an essential part of the smart grid. The problem of the fluctuate output of renewable energy generation and cooperation with traditional energy generation present significant challenges to the automatic generation control (AGC) in future smart grid. This paper presents a distributed model of AGC that contains thermal, hydro and wind-solar power generation. Based on this model, we formulate a distributed model predictive control (DMPC) problem and propose a quadratic programming (QP) based approach to solve it. The performance of the proposed method is demonstrated through simulations.