scholarly journals Plug-in electric vehicle collaborative charging for current unbalance minimization: Ant system optimization application

2015 ◽  
Author(s):  
Julian A. Fernandez ◽  
Seddik Bacha ◽  
Delphine Riu ◽  
Ahmad Hably
Keyword(s):  
Electric Vehicle ◽  
System Optimization ◽  
Ant System ◽  
Current Unbalance

scholarly journals Energy Management System Optimization of Drug Store Electric Vehicles Charging Station Operation

2021 ◽  
Vol 13 (11) ◽  
pp. 6163
Author(s):  
Yongyi Huang ◽  
Atsushi Yona ◽  
Hiroshi Takahashi ◽  
Ashraf Mohamed Hemeida ◽  
Paras Mandal ◽  
...  
Keyword(s):  
Power Generation ◽  
Electric Vehicle ◽  
Electric Vehicles ◽  
System Optimization ◽  
Mixed Integer ◽  
Charging Station ◽  
Electric Vehicle Charging ◽  
Photovoltaic Power ◽  
Vehicle Charging ◽  
Charging Stations

Electric vehicle charging station have become an urgent need in many communities around the world, due to the increase of using electric vehicles over conventional vehicles. In addition, establishment of charging stations, and the grid impact of household photovoltaic power generation would reduce the feed-in tariff. These two factors are considered to propose setting up charging stations at convenience stores, which would enable the electric energy to be shared between locations. Charging stations could collect excess photovoltaic energy from homes and market it to electric vehicles. This article examines vehicle travel time, basic household energy demand, and the electricity consumption status of Okinawa city as a whole to model the operation of an electric vehicle charging station for a year. The entire program is optimized using MATLAB mixed integer linear programming (MILP) toolbox. The findings demonstrate that a profit could be achieved under the principle of ensuring the charging station’s stable service. Household photovoltaic power generation and electric vehicles are highly dependent on energy sharing between regions. The convenience store charging station service strategy suggested gives a solution to the future issues.

Optimization of laminate stacking sequence for minimizing weight and cost using elitist ant system optimization

2013 ◽  
Vol 57 ◽  
pp. 8-18 ◽  
Author(s):  
Hossein Hemmatian ◽  
Abdolhossein Fereidoon ◽  
Ali Sadollah ◽  
Ardeshir Bahreininejad
Keyword(s):  
System Optimization ◽  
Stacking Sequence ◽  
Ant System

Electric Vehicle Battery-Ultracapacitor Energy System Optimization

2017 ◽  
Author(s):  
Fernanda C. Correa ◽  
Jony J. Eckert ◽  
Fabio M. Santiciolli ◽  
Ludmila C. A. Silva ◽  
Eduardo S. Costa ◽  
...  
Keyword(s):  
Electric Vehicle ◽  
System Optimization ◽  
Energy System ◽  
Electric Vehicle Battery

A New Pipe Routing Approach for Aero-Engines by Octree Modeling and Modified Max-Min Ant System Optimization Algorithm

2016 ◽  
Vol 34 (1) ◽  
pp. 11-19 ◽  
Author(s):  
Y.-F. Qu ◽  
D. Jiang ◽  
X.-L. Zhang
Keyword(s):  
Optimization Algorithm ◽  
System Optimization ◽  
Ant System ◽  
Solution Quality ◽  
Dynamic Update ◽  
Pipe Routing ◽  
Efficiency And Effectiveness ◽  
Speed Up ◽  
Aero Engines ◽  
Number Of Bends

AbstractAero-engines usually contain a lot of pipes and cables which have an important influence on product performance and reliability. In this paper, a new pipe routing approach for aero-engines is proposed. First, an adaptive octree modeling method is presented according to the characteristics of the layout space. After considering three types of engineering constraints, the total length of pipelines, the total number of bends and the natural frequency of pipelines are modeled as the optimal objective. Then, a Modified Max-Min Ant System optimization algorithm (MMMAS), which uses layered node selection and dynamic update mechanism, is proposed for pipe routing. For branch pipelines, ant colony searches in groups and parallel to improve the solution quality and speed up the convergence greatly. Finally, numerical comparisons with other current approaches in literatures demonstrate the efficiency and effectiveness of the proposed approach. And a case study of pipe routing for aero-engines is conducted to validate this approach.

scholarly journals Comparing Power-System- and User-Oriented Battery Electric Vehicle Charging Representation and its Implications on Energy System Modeling

2020 ◽  
Author(s):  
Niklas Wulff ◽  
Felix Steck ◽  
Hans Christian Gils ◽  
Carsten Hoyer-Klick ◽  
Bent van den Adel ◽  
...  
Keyword(s):  
Renewable Energy ◽  
Power Systems ◽  
Power System ◽  
Electric Vehicle ◽  
Electric Vehicles ◽  
System Optimization ◽  
Energy System ◽  
Battery Electric Vehicle ◽  
Electric Vehicle Charging ◽  
Vehicle Charging

Battery electric vehicles provide an opportunity to balance supply and demand in future power systems with high shares of fluctuating renewable energy. Compared to other storage systems such as pumped-storage hydroelectricity, electric vehicle energy demand is highly dependent on charging and connection choices of vehicle users. We present a model framework of a utility-based stock and flow model, a utility-based microsimulation of charging decisions, and an energy system model including respective interfaces to assess how the representation of battery electric vehicle charging affects energy system optimization results. We then apply the framework to a scenario study for controlled charging of nine million electric vehicles in Germany in 2030. Assuming a respective fleet power demand of 27 TWh, we analyze the difference between power-system-based and vehicle user-based charging decisions in two respective scenarios. Our results show that taking into account vehicle users’ charging and connection decisions significantly decreases the load shifting potential of controlled charging. The analysis of marginal values of equations and variables of the optimization problem yields valuable insights on the importance of specific constraints and optimization variables. In particular, state-of-charge assumptions and representing fast charging drive curtailment of renewable energy feed-in and required gas power plant flexibility. A detailed representation of fleet charge connection is less important. Peak load can be significantly reduced by 5% and 3% in both scenarios, respectively. Shifted load is very robust across sensitivity analyses while other model results such as curtailment are more sensitive to factors such as underlying data years. Analyzing the importance of increased BEV fleet battery availability for power systems with different weather and electricity demand characteristics should be further scrutinized.

Optimized Path Planning for Electric Vehicle Routing and Charging Station Navigation Systems

2021 ◽  
pp. 1945-1967
Author(s):  
Mouhcine Elgarej ◽  
Mansouri Khalifa ◽  
Mohamed Youssfi
Keyword(s):  
Vehicle Routing ◽  
Electric Vehicle ◽  
Distributed System ◽  
Planning Problem ◽  
Navigation Systems ◽  
Ant System ◽  
Charging Station ◽  
Ant System Algorithm ◽  
Battery Energy ◽  
Charging Stations

With the increase in the number of electric vehicles (EV) on the street in the last years, the drivers of EVs are suffering from the problem of guiding themselves toward the nearest charging stations for recharging their batteries or finding the shortest routes toward their destinations. Although, the electric vehicle planning problem (EPP) is designed to achieve several transactions such as battery energy restrictions and the challenge of finding the nearest charging stations to the position of the electric vehicle. In this work, a new distributed system for electric vehicle routing is based on a novel driving strategy using a distributed Ant system algorithm (AS). The distributed architecture minimizes the total travelling path for the EV to attain the destination by proposing a set of the nearest charging stations that can be visited for recharging during his travels. Simulation result proved that our prototype is able to prepare optimal solutions within a reasonable time and forwarding EVs toward the nearest charging stations during their trips.

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