Flexible load regulation margin evaluation method considering virtual energy storage characteristics

In order to fully tap the regulatory potential of flexible load, guide the massive dispersed load side resources to interact positively with the power grid, realize the optimal allocation of resources and the improvement of energy utilization efficiency more economically, efficiently and safely, and adapt to the development needs of smart grid in the future. According to the operation characteristics of electric vehicles, the virtual energy storage capacity of electric vehicle charging was explored, and Monte Carlo simulation method was used to analyze the characteristics of virtual energy storage aggregation model, and the available capacity involved in day-ahead scheduling was obtained. Then a regulation margin index which can be used uniformly for this kind of load is proposed to measure the priority of load scheduling. Finally, taking EV as an example, the dayahead adjustable capacity result is obtained according to EV charging plan.