Importance of long-term flexibility in a 100% renewable energy scenario for Japan
A Kuriyama, X Liu, K Naito, A Tsukui, Y Tanaka - Sustainability Science, 2024 - Springer
As decarbonisation of the power sector is essential to achieve Japan's target of net-zero
greenhouse gas (GHG) emissions by 2050, it becomes crucial to address how the electricity …
greenhouse gas (GHG) emissions by 2050, it becomes crucial to address how the electricity …
[HTML][HTML] Smart energy system approach validated by electrical analysis for electric vehicle integration in islands
A Jiménez, P Cabrera, JF Medina… - Energy Conversion and …, 2024 - Elsevier
This article discusses the integration of renewable energy sources in islanded energy
systems, focusing on electrification of the transport sector and highlighting the challenges …
systems, focusing on electrification of the transport sector and highlighting the challenges …
[PDF][PDF] Engineering Challenges and Solutions in Smart Grid Integration with Electric Vehicles
The transition towards more sustainable energy systems has gained significant momentum
in recent years, driven by the pressing need to address climate change and reduce reliance …
in recent years, driven by the pressing need to address climate change and reduce reliance …
Scheduling EV charging having demand with different reliability constraints
We develop a new algorithm, based on approximate dynamic programming, to efficiently
schedule the charging processes of a large number of electric vehicles (EVs) with flexibility …
schedule the charging processes of a large number of electric vehicles (EVs) with flexibility …
Maximizing the number of satisfied charging demands of electric vehicles on identical chargers
This paper addresses the electric vehicle charging scheduling problem in a charging station
with a limited overall power capacity and a limited number of chargers. Electric vehicle …
with a limited overall power capacity and a limited number of chargers. Electric vehicle …
Optimal Demand Response for a Virtual Power Plant with a Hierarchical Operation Framework
X Liu, Z Niu, Y Li, L Hu, J Tang, Y Cai, S Zeng - Sustainable Energy, Grids …, 2024 - Elsevier
There are significant uncertainties and variations in demand response under different
operating conditions and incentives. These challenges hinder virtual power plants (VPPs) …
operating conditions and incentives. These challenges hinder virtual power plants (VPPs) …
Optimal Energy Management of EVs at Workplaces and Residential Buildings Using Heuristic Graph-Search Algorithm.
As the adoption of electric vehicles (EVs) continues to rise, efficient scheduling methods that
minimize operational costs are critical. This paper introduces a novel EV scheduling method …
minimize operational costs are critical. This paper introduces a novel EV scheduling method …
Probabilistic contraction analysis of iterated random operators
In many branches of engineering, Banach contraction map** theorem is employed to
establish the convergence of certain deterministic algorithms. Randomized versions of these …
establish the convergence of certain deterministic algorithms. Randomized versions of these …
Renewable sources-based efficient electric vehicle charging system through power forecasting and charge scheduling
The increased rate of battery-limited Electric Vehicles (EVs) creates inadequacy in the
efficient charging of vehicles. This results in EV Charging (EVC) Scheduling (EVCS) issue …
efficient charging of vehicles. This results in EV Charging (EVC) Scheduling (EVCS) issue …
A Simulation Framework for Ride-Hailing with Electric Vehicles
C Zhang, S Varma - arxiv preprint arxiv:2411.19471, 2024 - arxiv.org
This research presents a Python-based simulation framework designed to model electric
vehicle (EV) on-demand transportation systems, with a focus on optimizing urban fleet …
vehicle (EV) on-demand transportation systems, with a focus on optimizing urban fleet …