A Game Theory-based Power Scheduling for Parking Lot with Electric Vehicles

  • 蘇 明信

Student thesis: Master's Thesis


Responding to the global trend of energy saving and carbon reduction electric vehicles (EVs) have certainly become more popular However due to the high demand for EV charging when there are a large number of EVs charging simultaneously an enormous power demand is produced that can even result in a serious impact to the existing power system facility This thesis proposes an optimal scheduling strategy for charging and discharging EVs in a parking lot of building scale to achieve the goal of demand-side management (DSM) The objectives of the strategy are to maximize the load factor and minimize the energy cost The schedule for charging and discharging each EV is developed by applying game theory in a decentralized structure In addition the time-to-interval and moving horizon techniques are adopted in this thesis re-executing the optimization process at each time slot to be suitable for the dynamic properties of EVs in practice The proposed optimal scheduling algorithm is verified and compared by simulating in residential and commercial scenarios with many types of pricing structures The simulation results show that the strategy of this thesis not only raises the load factor and decreases the power cost payment but can also be utilized in the demand bidding mechanism of the Taiwan Power Company which can produce additional profits for the parking lot operators
Date of Award2017 Aug 7
Original languageEnglish
SupervisorHong-Tzer Yang (Supervisor)

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