Hybrid model for estimating individual EV charging profiles with different levels of temporal information, evaluated on public data.
Grid-aware scheduling and control of electric vehicle charging stations for dispatching active distribution networks: Theory and experimental validation,
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SG-ADMM enables simultaneous incentive design and distributed real-time EV charging control by modeling the charging station as a Stackelberg leader committing to incentives in a non-cooperative game with EVs as followers.
Large-scale simulations show that SG-ADMM decentralized control in EV charging stations achieves more cost-effective, fair, and computationally efficient use of EV flexibility than centralized optimization, basic ADMM, or uncontrolled charging.
citing papers explorer
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Electric Vehicle Charging Profile Forecasting Using Hybrid Models
Hybrid model for estimating individual EV charging profiles with different levels of temporal information, evaluated on public data.
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A Game-Theoretic Decentralized Real-Time Control of Electric Vehicle Charging Stations - Part I: Incentive Design
SG-ADMM enables simultaneous incentive design and distributed real-time EV charging control by modeling the charging station as a Stackelberg leader committing to incentives in a non-cooperative game with EVs as followers.
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A Game-Theoretic Decentralized Real-Time Control of Electric Vehicle Charging Stations - Part II: Numerical Simulations
Large-scale simulations show that SG-ADMM decentralized control in EV charging stations achieves more cost-effective, fair, and computationally efficient use of EV flexibility than centralized optimization, basic ADMM, or uncontrolled charging.