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Vehicle-to-Aggregator Interaction Game

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TLDR
A new game-theoretic model is proposed to understand the interactions among EVs and aggregators in a V2G market, where EVs participate in providing frequency regulation service to the grid.
Abstract
Electric vehicles (EVs) are likely to become very popular worldwide within the next few years. With possibly millions of such vehicles operating across the country, one can establish a distributed electricity storage system that comprises of the EVs' batteries with a huge total storage capacity. This can help the power grid by providing various ancillary services, once an effective vehicle-to-grid (V2G) market is established. In this paper, we propose a new game-theoretic model to understand the interactions among EVs and aggregators in a V2G market, where EVs participate in providing frequency regulation service to the grid. We develop a smart pricing policy and design a mechanism to achieve optimal frequency regulation performance in a distributed fashion. Simulation results show that our proposed pricing model and designed mechanism work well and can benefit both EVs (in terms of obtaining additional income) and the grid (in terms of achieving the frequency regulation command signal).

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Journal ArticleDOI

A Survey on Demand Response Programs in Smart Grids: Pricing Methods and Optimization Algorithms

TL;DR: This paper provides a comprehensive review of various DR schemes and programs, based on the motivations offered to the consumers to participate in the program, and presents various optimization models for the optimal control of the DR strategies that have been proposed so far.
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Review of the Impact of Vehicle-to-Grid Technologies on Distribution Systems and Utility Interfaces

TL;DR: In this article, the authors review the current status and implementation impact of V2G/grid-to-vehicle (G2V) technologies on distributed systems, requirements, benefits, challenges, and strategies for VUE interfaces of both individual vehicles and fleets.
Journal ArticleDOI

A Survey on Demand Response in Smart Grids: Mathematical Models and Approaches

TL;DR: This survey comprehensively explores the means/tariffs that the power utility takes to incentivize users to reschedule their energy usage patterns and outlines the potential challenges and future research directions in the context of demand response.
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Electric Vehicle Battery Charging/Swap Stations in Distribution Systems: Comparison Study and Optimal Planning

TL;DR: In this article, a framework for optimal design of battery charging/swap stations in distribution systems based on life cycle cost (LCC) is presented, where the battery swapping station is more suitable for public transportation than rapid charging stations.
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Impact analysis of vehicle-to-grid technology and charging strategies of electric vehicles on distribution networks – A review

TL;DR: In this article, a detailed review of a vehicle-to-grid (V2G) technology, in conjunction with various charging strategies of electric vehicles (EVs), and analyzes their impacts on power distribution networks is presented.
References
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Journal ArticleDOI

Autonomous Demand-Side Management Based on Game-Theoretic Energy Consumption Scheduling for the Future Smart Grid

TL;DR: This paper presents an autonomous and distributed demand-side energy management system among users that takes advantage of a two-way digital communication infrastructure which is envisioned in the future smart grid.
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Vehicle-to-grid power fundamentals: Calculating capacity and net revenue

TL;DR: In this paper, the authors defined the three vehicle types that can produce V2G power and the power markets they can sell into, and developed equations to calculate the capacity for grid power from three types of electric drive vehicles.
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Vehicle-to-grid power implementation: From stabilizing the grid to supporting large-scale renewable energy

TL;DR: In this article, the authors examine the systems and processes needed to tap energy in vehicles and implement V2G and quantitatively compare today's light vehicle fleet with the electric power system.
Journal ArticleDOI

Optimal Residential Load Control With Price Prediction in Real-Time Electricity Pricing Environments

TL;DR: Simulation results show that the combination of the proposed energy consumption scheduling design and the price predictor filter leads to significant reduction not only in users' payments but also in the resulting peak-to-average ratio in load demand for various load scenarios.
Journal ArticleDOI

Grid of the future

TL;DR: In this article, the authors argue that the transition to a smart grid has to be evolutionary to keep the lights on; on the other hand, the issues surrounding the smart grid are signifi cant enough to demand major changes in power systems operating philosophy.
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