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Journal ArticleDOI

Vehicle-to-grid power fundamentals: Calculating capacity and net revenue

Willett Kempton, +1 more
- 01 Jun 2005 - 
- Vol. 144, Iss: 1, pp 268-279
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TLDR
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.
About
This article is published in Journal of Power Sources.The article was published on 2005-06-01. It has received 2128 citations till now. The article focuses on the topics: Electric vehicle & Electric power industry.

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Citations
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Journal ArticleDOI

The reserve trading model considering V2G Reverse

TL;DR: In this article, a new reserve trading model of electric companies concerning the V2G reserve was proposed, taking default probability of plug-in electric vehicle users and accident probability of generation side reserve into consideration.
Proceedings ArticleDOI

Stochastic co-optimization of charging and frequency regulation by electric vehicles

TL;DR: Simulations demonstrate the benefit of charging an EV using the proposed stochastic dynamic programming method over an expected value dynamic programming scheme and show that the proposed method gives high quality solutions.
Journal ArticleDOI

Probabilistic congestion management using EVs in a smart grid with intermittent renewable generation

TL;DR: In this article, a probabilistic model to reduce the probability of line congestions and voltage violations in a smart grid located in a radial distribution network is presented, and a congestion management strategy is proposed in order to keep the line flows and node voltages within the appropriate range at a given confidence level.
Dissertation

Techniques for Battery Health Conscious Power Management via Electrochemical Modeling and Optimal Control.

TL;DR: In this paper, the authors present a survey of the state-of-the-art tools and techniques used in the development of the HOGA algorithm and its application in the field of artificial intelligence.
References
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Journal ArticleDOI

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

Using fleets of electric-drive vehicles for grid support

TL;DR: In this article, the economic potential of two utility-owned fleets of battery-electric vehicles to provide power for a specific electricity market, regulation, in four US regional regulation services markets was evaluated.
Journal ArticleDOI

Electric vehicles as a new power source for electric utilities

TL;DR: In this article, the authors analyzed vehicle battery storage in greatest detail, comparing three electric vehicle configurations over a range of driving requirements and electric utility demand conditions, and found that the value to the utility of tapping vehicle electrical storage exceeds the cost of the two-way hook-up and reduced vehicle battery life.
Journal ArticleDOI

A comparison of hydrogen, methanol and gasoline as fuels for fuel cell vehicles: implications for vehicle design and infrastructure development

TL;DR: In this article, the authors present modeling results comparing three leading options for fuel storage onboard fuel cell vehicles: (a) compressed gas hydrogen storage, (b) onboard steam reforming of methanol, (c) onboard partial oxidation (POX) of hydrocarbon fuels derived from crude oil.

Vehicle-to-Grid Power: Battery, Hybrid, and Fuel Cell Vehicles as Resources for Distributed Electric Power in California

TL;DR: In this article, the authors calculate three parameters of electric drive vehicles (EDVs) which are important for their use by the electric system: resources size, availability, and economic potential.
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