Journal ArticleDOI
Optimal planning of electric vehicle charging station at the distribution system using hybrid optimization algorithm
Abhishek Awasthi,Karthikeyan Venkitusamy,Sanjeevikumar Padmanaban,Rajasekar Selvamuthukumaran,Frede Blaabjerg,Asheesh K. Singh +5 more
TLDR
Through simulation studies on a real time system of Allahabad city, the superior performance of the aforementioned technique with respect to genetic algorithm and particle swarm optimization in terms of improvement in voltage profile and quality is found.About:
This article is published in Energy.The article was published on 2017-08-15. It has received 213 citations till now. The article focuses on the topics: Multi-swarm optimization & Particle swarm optimization.read more
Citations
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A Comprehensive Study of Key Electric Vehicle (EV) Components, Technologies, Challenges, Impacts, and Future Direction of Development
TL;DR: The authors in this article reviewed all the useful data available on EV configurations, battery energy sources, electrical machines, charging techniques, optimization techniques, impacts, trends, and possible directions of future developments.
Journal ArticleDOI
Short term electric load forecasting model and its verification for process industrial enterprises based on hybrid GA-PSO-BPNN algorithm—A case study of papermaking process
TL;DR: The verification results reveal that the GA-PSO-BPNN model is superior to the other two hybrid forecasting models for future application in the papermaking process since its MAPE is only 0.77%.
Journal ArticleDOI
Optimal planning of electric vehicle charging stations comprising multi-types of charging facilities
TL;DR: It is indicated that EVCSs should be regarded to comprise multi-types of charging facilities during the planning stage, and a new optimization model is proposed for the target of minimizing the annualized social cost of whole EV charging system.
Journal ArticleDOI
Optimal location of electric vehicle charging station and its impact on distribution network: A review
TL;DR: In this article , the authors investigated the optimal location of electric vehicle charging stations (EVCSs) for large-scale implementation of EVs at large scale, and the authors followed different types of approaches, objective functions, constraints, EV load modeling, uncertainty, vehicle to grid strategy, integration of distributed generation, charging types, optimization techniques, and sensitivity analysis.
Journal ArticleDOI
Study of site selection of electric vehicle charging station based on extended GRP method under picture fuzzy environment
TL;DR: An effective comprehensive framework is proposed to evaluate and select the optimal EVCS site under picture fuzzy environment and results indicate that the proposed framework is useful for identifying suitable EV CS site among the potential charging stations.
References
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Journal ArticleDOI
A combination of genetic algorithm and particle swarm optimization for optimal DG location and sizing in distribution systems
TL;DR: A novel hybrid Genetic Algorithm (GA) / Particle Swarm Optimization (PSO) for solving the problem of optimal location and sizing of DG on distributed systems is presented to minimize network power loss and better voltage regulation in radial distribution systems.
Journal ArticleDOI
Optimal Planning of Electric-Vehicle Charging Stations in Distribution Systems
TL;DR: In this article, a mathematical model for the optimal sizing of EV charging stations is developed with the minimization of total cost associated with EVs charging stations to be planned as the objective function and solved by a modified primal-dual interior point algorithm (MPDIPA).
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Electric Vehicle Battery Charging/Swap Stations in Distribution Systems: Comparison Study and Optimal Planning
TL;DR: In this article, a framework for optimal design of battery charging/swap stations in distribution systems based on life cycle cost (LCC) is presented, where the battery swapping station is more suitable for public transportation than rapid charging stations.
Journal ArticleDOI
Optimal fast charging station placing and sizing
TL;DR: In this article, a Mixed-Integer Non-Linear (MINLP) optimization approach for optimal placing and sizing of the fast charging stations is presented, where the station development cost, EV energy loss, electric gird loss as well as the location of electric substations and urban roads are among the factors included in the proposed approach.
Journal ArticleDOI
Traffic-Constrained Multiobjective Planning of Electric-Vehicle Charging Stations
TL;DR: In this paper, a multi-objective EV charging station planning method was proposed to ensure charging service while reducing power losses and voltage deviations of distribution systems, which can maximize the EV traffic flow that can be charged given a candidate construction plan of EV charging stations.