Optimal Placement of Electric Vehicle Charging Station with V2G Provision using Symbiotic Organisms Search Algorithm

Chakraborty, Rai; Das, Diptanu; Das, Priyanath

doi:10.1109/sceecs54111.2022.9740988

Cited by 14 publications

(4 citation statements)

References 12 publications

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“…Also, in the papers [21,22], the problem of placement of the EVCSs considering the vehicle to grid capability of vehicles to improve the technical specifications of the network in an IEEE 33-bus redial distribution network is presented.…”

Section: Literature Reviewmentioning

confidence: 99%

New optimal planning strategy for plug‐in electric vehicles charging stations in a coupled power and transportation network

Keleshteri

Niknam

Ghiasi

et al. 2023

The Journal of Engineering

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The use of plug-in electric vehicles (PEV) and their developing technology can create new challenges to the smart power system. The type, method, and time of charging electric vehicles are also other issues. Allocating and determining the optimal capacity of electric vehicle charging stations (EVCS) is related to the technical requirements of the distribution network. This is economically important for the construction of charging stations. This paper proposes a new approach for optimal siting and sizing of PEV charging stations in a coupled electrical and transportation network. This work presents the problem from a techno-economic point of view of the electrical network as a multi-objective problem with the objectives of simultaneously reducing the cost of building EVCSs and active power losses. The Pareto method is used to solve the problem and to display optimal points. In order to carry out the simulation, the proposed method is tested on a case study of the standard IEEE 37-bus network with a 25-node transport system and the proposed solution in the subject environment. The Floyd-Warshall method is utilized to determine the shortest travel routes for PEVs. The obtained results confirm the effectiveness of the optimal planning of PEV charging stations.

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Section: Literature Reviewmentioning

confidence: 99%

New optimal planning strategy for plug‐in electric vehicles charging stations in a coupled power and transportation network

Keleshteri

Niknam

Ghiasi

et al. 2023

The Journal of Engineering

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show abstract

“…EVCS is a prerequisite for EV users in addition to charging their vehicles. Infrastructure for charging EVs must be established for widespread adoption [4]. The distance between an EV customer's home and the closest charging station must be taken into account by the planner as it impacts how rapidly the battery can be recharged.…”

Section: Introductionmentioning

confidence: 99%

Improvement of Distribution Network Performance by Optimally Allocating EV Charging Station

Das,

Chakraborty,

Das

et al. 2023

E3S Web Conf.

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With zero emissions to the environment, electric vehicles (EVs) are the most environmentally friendly mode of transportation. The placement of EV charging stations (EVCS) in the Radial Distribution Network (RDN) is necessary to satisfy the demand of charging in various places while minimizing power loss on the power system networks. In the distribution system, distributed generation (DG) not only reduces power loss but also enhances power quality. To fully utilize the benefits of DG, it is necessary to find the optimal location and size in the distribution system. In this work, the ideal installation of EVCS has been consistently demonstrated in the IEEE 33 bus distribution network. In order to provide widespread charging facilities, the RDN has been split into three regions, and it has been established that each area has one charging station placed. The main purpose is to minimize the Active Power Loss and Voltage Deviation Index (VDI) to maintain a healthy power system network. Adding DG to the appropriate EV Station is obtained through optimization. This problem has been formulated as a problem of optimization for finding the best location to install EVCS in the IEEE 33 bus RDN by using the Symbiotic Organisms Search (SOS) algorithm. The obtained results have been validated and compared using the Grey Wolf Optimizer (GWO) and Whale Optimization Algorithm (WOA).

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“…The experiments' findings demonstrated that the presented strategy shortens the time it takes for electric vehicles to charge and reduces the strain placed on charging stations. To facilitate access to charging stations in a wide variety of places, the authors of [33] recommended dividing the IEEE 33 bus radial distribution system into three zones. One charging station has been placed strategically throughout each zone.…”

Section: Introductionmentioning

confidence: 99%

A Recommendation System for Electric Vehicles Users Based on Restricted Boltzmann Machine and WaterWheel Plant Algorithms

Ibrahim,

El-Kenawy,

Eid

et al. 2023

IEEE Access

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Ensuring reliable and easily accessible charging infrastructure becomes crucial as more people adopt electric vehicles. This study introduces a recommendation system designed to assist electric vehicle users in finding convenient charging stations, enhancing the charging experience, and reducing range anxiety. The system employs advanced data analysis techniques to offer personalized suggestions based on users' preferences. Real-time data on factors like charging station availability, individual preferences, and past usage patterns are collected and processed using a restricted Boltzmann machine-learning algorithm. The waterwheel plant algorithm, known for its effectiveness in solving complex optimization problems, is utilized to optimize the parameters of the restricted Boltzmann machine. The recommendation system considers various user preferences, including charging speed, cost, network compatibility, amenities, and proximity to the user's current location. The system aims to minimize user frustration, improve charging performance, and enhance customer satisfaction by addressing these aspects. Results indicate the system's efficiency in suggesting convenient charging locations. The study explores the statistical significance of the optimized waterwheel plant algorithm and restricted Boltzmann machine model through Wilcoxon rank-sum and Analysis of Variance tests.

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Optimal Placement of Electric Vehicle Charging Station with V2G Provision using Symbiotic Organisms Search Algorithm

Cited by 14 publications

References 12 publications

New optimal planning strategy for plug‐in electric vehicles charging stations in a coupled power and transportation network

New optimal planning strategy for plug‐in electric vehicles charging stations in a coupled power and transportation network

Improvement of Distribution Network Performance by Optimally Allocating EV Charging Station

A Recommendation System for Electric Vehicles Users Based on Restricted Boltzmann Machine and WaterWheel Plant Algorithms

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