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Electric Vehicle Aggregator/System Operator Coordination for Charging Scheduling and Services Procurement

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Plug-in hybrid electric vehicles as regulating power providers: Case studies of Sweden and Germany
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The IEEE Reliability Test System-1996. A report prepared by the Reliability Test System Task Force of the Application of Probability Methods Subcommittee
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Decentralized charging control for large populations of plug-in electric vehicles: Application of the Nash certainty equivalence principle
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Using vehicle-to-grid to maximize the integration of intermittent renewable energy resources in islanded electric grids
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Evaluating the impact of Plug-in Hybrid Electric Vehicles on regional electricity supplies
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Integration of Electric Vehicles in the Electric Power System
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Using electric vehicles to mitigate imbalance requirements associated with an increased penetration of wind generation
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Optimal Transition to Plug-In Hybrid Electric Vehicles in Ontario, Canada, Considering the Electricity-Grid Limitations
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A Survey on the Electrification of Transportation in a Smart Grid Environment
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The Impact of Electric Vehicle Deployment on Load Management Straregies
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Optimal Charging of Electric Vehicles in Low-Voltage Distribution Systems
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Optimal Charging Strategies for Unidirectional Vehicle-to-Grid
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Coordinated Charging of Plug-In Hybrid Electric Vehicles to Minimize Distribution System Losses
inferredcites →https://doi.org/10.1109/tsg.2011.2151888openalex-snapshot
Performance Evaluation of an EDA-Based Large-Scale Plug-In Hybrid Electric Vehicle Charging Algorithm
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Optimal Scheduling of Vehicle-to-Grid Energy and Ancillary Services
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Optimal Combined Bidding of Vehicle-to-Grid Ancillary Services
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Plug-In Hybrid Electric Vehicle Market Introduction Study: Final Report

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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A Review of EV Load Scheduling with Wind Power Integration**This work is supported in part by NSFC (61222302, 61174072, 61221063, 91224008, and U1301254), 111 International Collaboration Program of China (B06002), the National Key Technology R&D Program (2013BAG18B00), TNList Funding for Cross…
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Voltage Stability Assessment of Transmission System with Electric Vehicles as Virtual Power Plants
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Stochastic Security Constraint Unit Commitment Considering the Correlation of Electric Vehicles’ Driving
inferred← citeshttps://doi.org/10.1109/isgt-europe47291.2020.9248912openalex-snapshot
Aggregation of Electric Vehicles for Emergency Frequency Control of Two-Area Interconnected Grid
inferred← citeshttps://doi.org/10.1109/isgteurope.2013.6695433openalex-snapshot
Optimization-based market-clearing procedure with EVs aggregator participation
inferred← citeshttps://doi.org/10.1109/itec-india.2015.7386951openalex-snapshot
Fuzzy based active and reactive power support to the distribution network using electric vehicles
inferred← citeshttps://doi.org/10.1109/itec.2019.8790603openalex-snapshot
A Q-Learning Based Charging Scheduling Scheme for Electric Vehicles
inferred← citeshttps://doi.org/10.1109/itec51675.2021.9490052openalex-snapshot
Spatial-Temporal EV Charging Demand Model Considering Generic Second-Order Traffic Flows
inferred← citeshttps://doi.org/10.1109/jproc.2013.2271951openalex-snapshot
Opportunities and Challenges of Vehicle-to-Home, Vehicle-to-Vehicle, and Vehicle-to-Grid Technologies
inferred← citeshttps://doi.org/10.1109/jproc.2016.2520678openalex-snapshot
Technologies and Magnitude of Ancillary Services Provided by Commercial Buildings
inferred← citeshttps://doi.org/10.1109/jproc.2020.2992251openalex-snapshot
Multicarrier Energy Systems: Shaping Our Energy Future
inferred← citeshttps://doi.org/10.1109/pedg.2018.8447802openalex-snapshot
Electric Vehicle (EV) Charging Management and Relieve Impacts in Grids
inferred← citeshttps://doi.org/10.1109/pesa.2017.8277737openalex-snapshot
Electric vehicle performance and design index
inferred← citeshttps://doi.org/10.1109/pesgm.2015.7285594openalex-snapshot
Optimal investment strategy in photovoltaics and energy storage for commercial buildings
inferred← citeshttps://doi.org/10.1109/pesgm.2015.7285794openalex-snapshot
Statistical characterization of electric vehicle charging in different locations of the grid
inferred← citeshttps://doi.org/10.1109/pesgm.2016.7741139openalex-snapshot
Optimal coordination and scheduling of demand response via monetary incentives
inferred← citeshttps://doi.org/10.1109/powertech46648.2021.9494876openalex-snapshot
Secondary Reserve Provision through a Smart Aggregation Strategy of Electric Vehicles
inferred← citeshttps://doi.org/10.1109/sest.2019.8849122openalex-snapshot
Economic Viability of Smart Charging EVs in the Dutch Ancillary Service Markets
inferred← citeshttps://doi.org/10.1109/sgc.2014.7151034openalex-snapshot
EVs participation in energy and reserve market considering primary and tertiary frequency regulation constraints
inferred← citeshttps://doi.org/10.1109/smartgridcomm.2013.6687967openalex-snapshot
Large population optimal demand response for thermostatically controlled inertial loads
inferred← citeshttps://doi.org/10.1109/sustech.2015.7314351openalex-snapshot
An approach to engage EVs for frequency regulation: Aggregator perspective
inferred← citeshttps://doi.org/10.1109/tdc.2014.6863277openalex-snapshot
Impact of electric vehicle V2G operation and demand response strategies for smart households
inferred← citeshttps://doi.org/10.1109/tia.2020.2993991openalex-snapshot
Technical Review on Advanced Approaches for Electric Vehicle Charging Demand Management, Part I: Applications in Electric Power Market and Renewable Energy Integration
inferred← citeshttps://doi.org/10.1109/tii.2016.2541542openalex-snapshot
Aggregation and Remuneration of Electricity Consumers and Producers for the Definition of Demand-Response Programs
inferred← citeshttps://doi.org/10.1109/tii.2020.2990397openalex-snapshot
Reinforcement Learning-Based Load Forecasting of Electric Vehicle Charging Station Using Q -Learning Technique
inferred← citeshttps://doi.org/10.1109/tii.2022.3152815openalex-snapshot
Decentralized Optimization of Multiarea Interconnected Traffic-Power Systems With Wind Power Uncertainty
inferred← citeshttps://doi.org/10.1109/tits.2019.2955359openalex-snapshot
Risk Assessment of an Electrical Power System Considering the Influence of Traffic Congestion on a Hypothetical Scenario of Electrified Transportation System in New York State
inferred← citeshttps://doi.org/10.1109/tpwrs.2013.2257591openalex-snapshot
Table of Contents
inferred← citeshttps://doi.org/10.1109/tpwrs.2013.2278852openalex-snapshot
Electric Vehicle Battery Charging/Swap Stations in Distribution Systems: Comparison Study and Optimal Planning
inferred← citeshttps://doi.org/10.1109/tpwrs.2013.2295282openalex-snapshot
2013 Index IEEE Transactions on Power Systems Vol. 28
inferred← citeshttps://doi.org/10.1109/tpwrs.2014.2301024openalex-snapshot
Charging Strategies for Battery Electric Vehicles: Economic Benchmark and V2G Potential
inferred← citeshttps://doi.org/10.1109/tpwrs.2014.2327120openalex-snapshot
Security Enhancement With Nodal Criticality-Based Integration of Strategic Micro Grids
inferred← citeshttps://doi.org/10.1109/tpwrs.2014.2330375openalex-snapshot
Risk Averse Scheduling by a PEV Aggregator Under Uncertainty
inferred← citeshttps://doi.org/10.1109/tpwrs.2014.2331560openalex-snapshot
Optimal Operation and Services Scheduling for an Electric Vehicle Battery Swapping Station
inferred← citeshttps://doi.org/10.1109/tpwrs.2014.2335992openalex-snapshot
A Stochastic Multi-Layer Agent-Based Model to Study Electricity Market Participants Behavior
inferred← citeshttps://doi.org/10.1109/tpwrs.2014.2354345openalex-snapshot
Reduced-Order Load Models for Large Populations of Flexible Appliances
inferred← citeshttps://doi.org/10.1109/tpwrs.2014.2379637openalex-snapshot
Retail Pricing: A Bilevel Program for PEV Aggregator Decisions Using Indirect Load Control
inferred← citeshttps://doi.org/10.1109/tpwrs.2015.2402518openalex-snapshot
Decentralized Multi-Period Economic Dispatch for Real-Time Flexible Demand Management
inferred← citeshttps://doi.org/10.1109/tpwrs.2015.2471091openalex-snapshot
An Aggregate Model of Plug-in Electric Vehicles Including Distribution Network Characteristics for Primary Frequency Control
inferred← citeshttps://doi.org/10.1109/tpwrs.2015.2496551openalex-snapshot
Optimal Participation of an Electric Vehicle Aggregator in Day-Ahead Energy and Reserve Markets
inferred← citeshttps://doi.org/10.1109/tpwrs.2016.2516593openalex-snapshot
System State Estimation Considering EV Penetration With Unknown Behavior Using Quasi-Newton Method
inferred← citeshttps://doi.org/10.1109/tpwrs.2016.2595523openalex-snapshot
Robust Operation of Distribution Networks Coupled With Urban Transportation Infrastructures
inferred← citeshttps://doi.org/10.1109/tpwrs.2016.2609416openalex-snapshot
Plug-In Electric Vehicles Parking Lot Equilibria With Energy and Reserve Markets
inferred← citeshttps://doi.org/10.1109/tpwrs.2016.2609933openalex-snapshot
An Investigation of Plug-In Electric Vehicle Charging Impact on Power Systems Scheduling and Energy Costs
inferred← citeshttps://doi.org/10.1109/tpwrs.2017.2741920openalex-snapshot
Optimal Regulation of Virtual Power Plants
inferred← citeshttps://doi.org/10.1109/tpwrs.2021.3065913openalex-snapshot
New Insights From the Shapley-Folkman Lemma on Dispatchable Demand in Energy Markets
inferred← citeshttps://doi.org/10.1109/tsg.2013.2290594openalex-snapshot
PEV Storage in Multi-Bus Scheduling Problems
inferred← citeshttps://doi.org/10.1109/tsg.2014.2375067openalex-snapshot
Optimal Coordination and Scheduling of Demand Response via Monetary Incentives
inferred← citeshttps://doi.org/10.1109/tsg.2014.2380826openalex-snapshot
A Two-Stage Margin-Based Algorithm for Optimal Plug-in Electric Vehicles Scheduling
inferred← citeshttps://doi.org/10.1109/tsg.2015.2389875openalex-snapshot
Controlled Electric Vehicle Charging for Mitigating Impacts on Distribution Assets
inferred← citeshttps://doi.org/10.1109/tsg.2015.2404892openalex-snapshot
Modeling Operational Behavior of Plug-in Electric Vehicles’ Parking Lot in Multienergy Systems
inferred← citeshttps://doi.org/10.1109/tsg.2015.2437911openalex-snapshot
Impact on Power System Flexibility by Electric Vehicle Participation in Ramp Market
inferred← citeshttps://doi.org/10.1109/tsg.2015.2477844openalex-snapshot
Charging Strategies of EV Aggregator Under Renewable Generation and Congestion: A Normalized Nash Equilibrium Approach
inferred← citeshttps://doi.org/10.1109/tsg.2015.2494371openalex-snapshot
Risk-Based Day-Ahead Scheduling of Electric Vehicle Aggregator Using Information Gap Decision Theory
inferred← citeshttps://doi.org/10.1109/tsg.2016.2517026openalex-snapshot
Optimal Planning of PEV Charging Station With Single Output Multiple Cables Charging Spots
inferred← citeshttps://doi.org/10.1109/tsg.2016.2520661openalex-snapshot
Inhomogeneous Markov Models for Describing Driving Patterns
inferred← citeshttps://doi.org/10.1109/tsg.2016.2609738openalex-snapshot
Fair Demand Response With Electric Vehicles for the Cloud Based Energy Management Service
inferred← citeshttps://doi.org/10.1109/tsg.2016.2612239openalex-snapshot
Optimal Traffic-Power Flow in Urban Electrified Transportation Networks
inferred← citeshttps://doi.org/10.1109/tsg.2016.2614768openalex-snapshot
Decentralized Coordination of a Building Manager and an Electric Vehicle Aggregator
inferred← citeshttps://doi.org/10.1109/tsg.2016.2629515openalex-snapshot
Distributed Scalable Autonomous Market-Based Demand Response via Residential Plug-In Electric Vehicles in Smart Grids
inferred← citeshttps://doi.org/10.1109/tsg.2017.2736787openalex-snapshot
Participation of an Energy Storage Aggregator in Electricity Markets
inferred← citeshttps://doi.org/10.1109/tsg.2019.2900085openalex-snapshot
Planning and Operation Models for EV Sharing Community in Spot and Balancing Market
inferred← citeshttps://doi.org/10.1109/tsg.2019.2918524openalex-snapshot
An Online Admission Control Mechanism for Electric Vehicles at Public Parking Infrastructures
inferred← citeshttps://doi.org/10.1109/tsg.2023.3265398openalex-snapshot
An Auto-Tuned Robust Dispatch Strategy for Virtual Power Plants to Provide Multi-Stage Real-Time Balancing Service
inferred← citeshttps://doi.org/10.1109/tste.2015.2494504openalex-snapshot
Distributed Frequency Control via Randomized Response of Electric Vehicles in Power Grid
inferred← citeshttps://doi.org/10.1109/tste.2015.2498521openalex-snapshot
Self Scheduling of Plug-In Electric Vehicle Aggregator to Provide Balancing Services for Wind Power
inferred← citeshttps://doi.org/10.1109/tste.2016.2516530openalex-snapshot
Stochastic Centralized Dispatch Scheme for AC/DC Hybrid Smart Distribution Systems
inferred← citeshttps://doi.org/10.1109/tte.2023.3311410openalex-snapshot
A Holistic Review on E-Mobility Service Optimization: Challenges, Recent Progress, and Future Directions
inferred← citeshttps://doi.org/10.1109/tvt.2015.2440471openalex-snapshot
Stackelberg-Game-Based Demand Response for At-Home Electric Vehicle Charging
inferred← citeshttps://doi.org/10.1109/tvt.2020.3013198openalex-snapshot
An IoT and Edge Computing Based Framework for Charge Scheduling and EV Selection in V2G Systems
inferred← citeshttps://doi.org/10.1109/twc.2018.2803181openalex-snapshot
Long-Term Power Procurement Scheduling Method for Smart-Grid Powered Communication Systems
inferred← citeshttps://doi.org/10.1145/2663761.2664186openalex-snapshot
DC charger selection scheme for electric vehicle-based tours visiting multiple destinations
inferred← citeshttps://doi.org/10.1145/2979677openalex-snapshot
SA-EAST
inferred← citeshttps://doi.org/10.1145/3410220.3461737openalex-snapshot
Information Aggregation for Constrained Online Control
inferred← citeshttps://doi.org/10.1145/3460085openalex-snapshot
Information Aggregation for Constrained Online Control
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