Considering Vehicle-to-grid Distributed Eventtriggered Fixed-time Energy Management Strategy for Microgrids

For the energy management problem of microgrids with vehicle-to-grid (V2G) characteristics of electric vehicles (EVs), a distributed event-triggered fixed-time optimization algorithm is proposed which effectively reduces the operating costs of the microgrid and the dissatisfaction rate of EV users with charging. The fixed-time optimization being used, the global optimal power output of the power generation unit and optimal power consumption for EV users are achieved quickly within a fixed time. The upper limit of convergence time of algorithm can be accurately calculated as it is independent of the initial conditions of the system. It facilitates the adjustment of power and energy storage strategies timely based on actual conditions, providing more flexibility for the system. In order to reduce the communication cost among the power generation units, a distributed event-triggered algorithm is proposed meanwhile, in which the change error of power is used as an event trigger mechanism. Compared to centralized event-triggered, it has not central controller, thereby the internal information exchanges within the microgrid are effectively reduced and the communication costs are effectively lowered. Rigorous proofs of the convergence and no-Zeno behavior of the algorithm are provided. Finally, numerical simulations in the IEEE 6-Bus systems are provided to validate the effectiveness of the proposed algorithm.