A part of the worldwide CO2 Emission can be reduced by changing the mobility to electric vehicles and charge them with renewable energy. Renewable energy sources are often decentralized and local and can be a part of smart buildings. To maximize the efficiency a self-consumption of this energy is desirable. The main focus of this paper is to find a controlling algorithm for charging stations, which balance the renewable feed in and the charging power under respecting the EV-user habits. A fuzzy-based control algorithm shows good results in a simulation. To evaluate the fuzzy algorithm for controlling charging algorithm it is implemented on a charging algorithm development environment. After a measurement of an uncontrolled (UC) and a controlled (CC) charging cycle, a changed charging curve is evaluated. The founded data show also positive impact of the charging controller to the power grid.Index Terms--electric vehicle, renewable energy, smart buildings, charging controller, vehicle fleet, charging station, vehicle to gird (V2G)
This paper presents the design of a new substation automation system architecture based on industrial automation technology, the development of an IEC 61850 compliant distance protection scheme and its test results. The proposed centralized structure means benefits for system integration since a higher degree of standardization can be achieved. Furthermore the approach guarantees manufacturerindependent and flexible IEC 61131-3 programming. Thus any implemented protection and control functions are portable and which saves otherwise required redevelopment effort in case of a required migration process.
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