Adaptive congestion control for electric vehicle charging in the smart grid

A Al Zishan, MM Haji… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
This article proposes an adaptive control algorithm for plug-in electric vehicle charging
without straining the power system. This control algorithm is decentralized and merely relies …

Conic optimization for electric vehicle station smart charging with battery voltage constraints

T Morstyn, C Crozier, M Deakin… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
This article proposes a new convex optimization strategy for coordinating electric vehicle
charging, which accounts for battery voltage rise and the associated limits on maximum …

Reputation-based fair power allocation to plug-in electric vehicles in the smart grid

A Al Zishan, MM Haji… - 2020 ACM/IEEE 11th …, 2020 - ieeexplore.ieee.org
We present a reputation-based framework for allocating power to plug-in electric vehicles
(EVs) in the smart grid. In this framework, the available capacity of the distribution network …

Assessment of prediction uncertainties in EV charging management

T Simolin, P Järventausta… - International Review of …, 2020 - researchportal.tuni.fi
The share of electric vehicles (EVs) in the market has been growing rapidly during the past
few years. Much research has been conducted in order to enable smart charging, which …

ADMM-based Coordinated Control of Electric Vehicles in an Unbalanced Distribution Grid: Assessing Tolerance to Communication Failures

N Nimalsiri, E Ratnam - 2024 IEEE 34th Australasian …, 2024 - ieeexplore.ieee.org
In this paper, we propose an Alternating Direction Method of Multipliers (ADMM) approach
combined with consensus optimization to coordinate electric vehicle (EV) charging and …

Energy resource control via privacy preserving data

X Chen, T Navidi, R Rajagopal - Electric Power Systems Research, 2020 - Elsevier
Although the frequent monitoring of smart meters enables granular control over energy
resources, it also increases the risk of leakage of private information such as income, home …

Chance-constrained shrunken-primal-dual subgradient (CC-SPDS) approach for decentralized electric vehicle charging control

M Liu, M Sahraei-Ardakani - 2019 IEEE Innovative Smart Grid …, 2019 - ieeexplore.ieee.org
In this paper, we develop a chance-constrained decentralized electric vehicle (EV) charging
control framework to achieve" valley-filling" meanwhile meeting individual charging …

[图书][B] Electric Vehicle (EV)-Assisted Demand-Side Management in Smart Grid

N Nimalsiri - 2021 - search.proquest.com
While relieving the dependency on diminishing fossil fuels, Electric Vehicles (EVs) provide a
promising opportunity to realise an eco-friendly and cost-effective means of transportation …

Optimal energy management strategies for electric vehicles: advanced control and learning-based perspectives

Q Zhang - 2022 - dspace.library.uvic.ca
Motivated by the goal of transition to a zero-carbon-emission-based economy for climate
change mitigation, electrification opportunities are more promising in the transportation …

[图书][B] Human-Centric Demand Side Management: Lifestyles, Privacy, and Fairness

X Chen - 2022 - search.proquest.com
Power grids are shifting from fossil fuel generation towards renewables such as solar and
wind, driven by decarbonization targets. Because of variability and uncertainty in generating …