Decentralized Charging of Plug-In Electric Vehicles and Impact on Transmission System Dynamics
Michela Moschella, Mohammed Ahsan Adib Murad, Emanuele Crisostomi, Federico Milano
Abstract
This article focuses on the impact of the charge of Plug-in Electric Vehicles (PEVs) on the dynamic response of power systems and proposes an efficient solution to control electric vehicle chargers, by dynamically allocating the available power in an optimized way. The proposed approach is based on an Additive-Increase-Multiplicative-Decrease (AIMD) stochastic decentralized control strategy to efficiently and seamlessly manage the charge of a high number of PEVs with little communication efforts. A modified version of the New England network is utilized to validate the proposed control through a variety of scenarios and control setups.
Topics & Concepts
Plug-inElectric power systemTransmission (telecommunications)Computer scienceVehicle dynamicsControl (management)Multiplicative functionDecentralised systemElectric powerVariety (cybernetics)Power (physics)Control engineeringEngineeringAutomotive engineeringTelecommunicationsMathematicsMathematical analysisQuantum mechanicsArtificial intelligencePhysicsProgramming languageElectric Vehicles and InfrastructureAdvanced Battery Technologies ResearchMicrogrid Control and Optimization