Stochastic control of smart home energy management with plug-in electric vehicle battery energy storage and photovoltaic array

X Wu, X Hu, S Moura, X Yin, V Pickert - Journal of Power Sources, 2016 - Elsevier
Energy management strategies are instrumental in the performance and economy of smart
homes integrating renewable energy and energy storage. This article focuses on stochastic …

Stochastic optimal energy management of smart home with PEV energy storage

X Wu, X Hu, X Yin, SJ Moura - IEEE Transactions on Smart Grid, 2016 - ieeexplore.ieee.org
This paper proposes a stochastic dynamic programming framework for the optimal energy
management of a smart home with plug-in electric vehicle (PEV) energy storage. This paper …

Optimal location planning method of fast charging station for electric vehicles considering operators, drivers, vehicles, traffic flow and power grid

W Kong, Y Luo, G Feng, K Li, H Peng - Energy, 2019 - Elsevier
In order to promote penetration and popularity of electric vehicles, it is of critical importance
to determine location and size of charging stations more scientifically. There are various …

Reinforcement learning-based plug-in electric vehicle charging with forecasted price

A Chiş, J Lundén, V Koivunen - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
This paper proposes a novel demand response method that aims at reducing the long-term
cost of charging the battery of an individual plug-in electric vehicle (PEV). The problem is …

Distributed scheduling and cooperative control for charging of electric vehicles at highway service stations

A Gusrialdi, Z Qu, MA Simaan - IEEE Transactions on Intelligent …, 2017 - ieeexplore.ieee.org
The increasing number of electric vehicles (EVs) on highways calls for the installment of
adequate charging infrastructure. Since charging infrastructure has limited capacity, EVs …

Optimal operation of interdependent power systems and electrified transportation networks

MH Amini, O Karabasoglu - Energies, 2018 - mdpi.com
Electrified transportation and power systems are mutually coupled networks. In this paper, a
novel framework is developed for interdependent power and transportation networks. Our …

Autonomous PEV charging scheduling using Dyna-Q reinforcement learning

F Wang, J Gao, M Li, L Zhao - IEEE Transactions on Vehicular …, 2020 - ieeexplore.ieee.org
This paper proposes a demand response method to reduce the long-term charging cost of
single plug-in electric vehicles (PEV) while overcoming obstacles such as the stochastic …

Electric vehicle charger placement optimization in michigan considering monthly traffic demand and battery performance variations

F Fakhrmoosavi, MR Kavianipour… - Transportation …, 2021 - journals.sagepub.com
Limited charging infrastructure for electric vehicles (EVs) is one of the main barriers to
adoption of these vehicles. In conjunction with limited battery range, the lack of charging …

Energy management strategies for smart home regarding uncertainties: State of the art, trends, and challenges

M Yousefi, A Hajizadeh… - 2018 IEEE International …, 2018 - ieeexplore.ieee.org
The advent of Smart grid and high-energy demand for electricity has provided new
opportunities for energy management systems (EMSs) in a smart home (SH). Energy …

Two-stage stochastic model for the price-based domestic energy management problem

AS Gazafroudi, M Shafie-khah… - International Journal of …, 2019 - Elsevier
Residential buildings have become an active market participant in future power grid
transactions due to the development of smart grid technologies, particularly smart meters …