Wind power multi-scenario state transition based unit commitment and reserve optimization

As wind power penetrations are increasing in the power systems, more innovative and sophisticated approaches to system operation will need to be adopted due to the intermittency and unpredictability of wind power generation. This paper proposed a multi-scenario unit commitment model based on state transition technique by probabilistic expression of wind power forecast error and discretization of wind power error scenes, considering the states transfer matrix specially. Making the scheduling decisions according to the scenario probability, correction reserve is set to the adjustment limit of units between the normal and error scenarios. Through the coordination of security and economic, reserve requirements according to wind power fluctuation is automatically optimized. Tests using an illustrative small system are presented, showing the usefulness and efficiency of the integrated generation scheduling, guiding significance for the scheduling and planning of thermal-wind power system.