Dynamic determination method of spinning reserve capacity based on situation awareness of power systems

Abstract

Accurate determination of the Spinning Reserve (SR) capacity is very important for the safe and economical operation of power systems. Traditionally, when determining the capacity of SR, either less factors are considered or the determination method is a static optimization constraint problem. In order to better decide SR capacity based on dynamic system situation, many factors that would significantly impact on system safety are considered in this paper, and the influence is imitated through the time-varying power systems situation. In detail, the uncertainty of those factors is represented by a Gaussian probabilistic model, the Markov method is used to model the situation of power systems every 30 minutes and the Monte Carlo model is used to obtain the probability of load loss in different situation. Then, the SR capacity can be optimal determined and used to handle contingency. Finally, the simulation results showed that the dynamic determination method can adapt to the complex changes of power systems.