Optimal Charging Strategies for Unidirectional Vehicle-to-Grid

By Eric Sortomme, Mohamed A. El-Sharkawi. IEEE Transactions on Smart Grid, 2011

773 citations recorded by the source corpus.

Subfields: Automotive Engineering, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/b1b12347cec508ea37a165db68b9c2bbf48e6a35

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Automotive Engineering

In Electrical and Electronic Engineering

Citations in the corpus

A Survey on the Electrification of Transportation in a Smart Grid Environment (2012, methodology): “Sortomme and El-Sharkawi [47] recommended unidirectional regulation algorithm for use by an aggregator.”
Game-Theoretic Methods for the Smart Grid: An Overview of Microgrid Systems, Demand-Side Management, and Smart Grid Communications (2012, neutral): “More recently, enabling two-way communications between the grid and PHEVs (or electric vehicles) has also received c onsiderable attention in the research community [39]–[43] .”
Vehicle-to-Grid Reactive Power Operation Using Plug-In Electric Vehicle Bidirectional Offboard Charger (2014, background): “Although PEVs potentially have the capability to fulfill the energy storage needs of an electric grid, the degradation on a battery during this operation is still a concern [17]–[19].”
A Review of Charge Scheduling of Electric Vehicles in Smart Grid (2015, methodology): “Some of the existing works on charge scheduling also consider EVs providing such ancillary services to the grid [1], [3],”
Storage-like devices in load leveling: Complementarity constraints and a new and exact relaxation method (2015, background): “For example, based on the above definition, an electric vehicle (EV) can be regarded as an SLD when connected to a grid because it has the capability to store energy and return the energy to the grid if required [18–20] and economically sound [21–23].”
Day ahead optimization of an electric vehicle fleet providing ancillary services in the Los Angeles Air Force Base vehicle-to-grid demonstration (2018, background): “are considered in an optimal control framework [16], while others have used electric vehicles as a proxy for a more general distributed resource in a model predictive control type approach to providing grid services [17], and still others approach the problem with generalized bidirectional or unidir”
Distribution Locational Marginal Pricing for Optimal Electric Vehicle Charging Management (2014, neutral): “The effectiveness of using EVs to provide peak load shaving and extra flexibility has been illustrated in [4] and [5].”
Optimal Scheduling of Vehicle-to-Grid Energy and Ancillary Services (2012, methodology): “This formulation considers the selling of bulk energy and spinning reserves which were not considered in [3], [7], and [17].”
Vehicle-to-Aggregator Interaction Game (2012, background): “demonstrated an optimal charging strategy for unidirectional V2G systems in [22].”
A Comprehensive Study of Key Electric Vehicle (EV) Components, Technologies, Challenges, Impacts, and Future Direction of Development (2017, methodology): “, developed an algorithm to maximize profit from EV charging in a unidirectional V2G system where an aggregator is present to manage the charging [146].”
A Distributed Demand Response Algorithm and Its Application to PHEV Charging in Smart Grids (2012, methodology): “In [13], an aggregator model is adopted for vehicle to grid, and a profit maximization algorithm is formulated.”