Masterarbeit, 2019
70 Seiten, Note: 1.0
This thesis examines the growing use of renewable energy systems and the rise of electric vehicles as potential solutions to grid congestion issues, particularly in the context of electrical distribution systems. The research focuses on optimizing flexibility in the electrical distribution grid by controlling the charging patterns of electric vehicles, and proposes a novel approach to allocating local flexibility using micro-auctions.
Key words include: electrical distribution grids, grid congestion, flexibility, electric vehicles, controlled charging, micro-auctions, local flexibility markets, simulation, time-series analysis, sensitivity analysis, distribution system operators.
By utilizing controlled charging mechanisms, EVs can act as flexible loads, pausing or adjusting their energy intake during peak demand phases.
It is a system where EVs act as autonomous agents, submitting bids to a local market to offer 15-minute charging breaks in exchange for compensation.
The DSO monitors grid status and manages critical conditions by "buying" positive capacity from EV users through the flexibility market.
Simulations showed that the model could reduce critical grid conditions by up to 49% and accommodate a ninefold increase in EV penetration.
Current limitations include technical constraints, demand-response latency, and the need for a robust communication infrastructure between vehicles and operators.
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