Optimal Microgrid Scheduling with Synthetic Inertia Provision from Electric Vehicle Charging Stations

This paper presents a microgrid (MG) scheduling problem involving frequency dynamic constraints with the provision of Synthetic Inertia (SI) via electric vehicles (EVs). The model of EV charging stations involving EVs’ arriving/departure and charging/discharging dynamics is implemented. SI provision from EVs is incorporated into the frequency constraints, and the value of SI provided is constrained by the number of EVs in charge, the EVs’ arrival state of charge, and the charging/discharging range of the chargers. To tackle the forecast errors from EVs, distributionally robust chance constraints are implemented. The Bonferroni approximation method is then utilized to separate the joint constraints into individual ones, which can be reformulated into convex forms. The MG scheduling problem can be formulated as an MILP problem. The effectiveness of the method is validated based on a modified IEEE 14-bus system.