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Repozytorium publikacji
Politechniki Gdańskiej

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ANALYSIS AND OPTIMIZATION OF ELECTRIC VEHICLE CHARGING PROCESSES IN TRANSACTIVE ENERGY SYSTEMS

The implementation of smart charging of electric vehicles allows operators of local power networks and electricity suppliers to implement new business models for the interaction of electric vehicles with the network. In addition to the optimal selection of Microgrid capacities when charging electric vehicles, it is also important to use different charging methods. To satisfy the interests of all participants of local systems from an economic and technical point of view, the concept of transactional energy was chosen. The effect of different charge management methods on EV battery efficiency, such as two-stage charging (CC-CV), accelerated charging (AC) and alternative multi-level MSCC charging, has been investigated. The optimization of charging processes aims not only to increase the profit from the sale of electricity, but also to minimize charging costs by means of an optimal flow of electricity from the network to the car. The proposed objective function depends on the generation capacity of all sources included in the system, the state of charge of the storage systems, the time of day, the charging time of electric vehicles, the charging speed, and the price of electricity. The control system, solving the objective function, itself chooses and offers the consumer and the aggregator a charging method that, given the system parameters, will be optimal for all participants of the transactional system. Three charge methods were investigated by digital simulation for four different types of electric vehicles, all considered charge methods have high energy efficiency indicators that can be used as control methods for charging electric vehicles from local systems

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