Decentralized coordinated control of hybrid wind-thermal power system

Modern power system is a hybrid power system, which contains renewable power plants. In those power plants, wind farm has shown the world's fastest rate of growth. The reported researches about decentralized coordinated control of power system are all based on synchronous generator (SG). It is not suitable that applying this decentralized-coordinated method to a hybrid power system for that the wind-generated energy capacity has been reached a considerable level. Combining correlative measurement modeling and multiple model predictive control, this paper proposes a decentralized coordinated multiple model predictive control (DCM-MPC) for a hybrid wind-thermal power (HWP) system. The transient problems of wind power integration are discussed subsequently. A simple, generic HWP system is used to illustrate the contributions. The results show that the proposed DCM-MPC not only provides an accurate tracking performance, but also improves transient stability of the HWP.