Efficient Red Kite Optimization Algorithm for Integrating the Renewable Sources and Electric Vehicle Fast Charging Stations in Radial Distribution Networks DOI Creative Commons
Sami M. Alshareef, Ahmed Fathy

Mathematics, Journal Year: 2023, Volume and Issue: 11(15), P. 3305 - 3305

Published: July 27, 2023

The high penetration of renewable energy resources’ (RESs) and electric vehicles’ (EVs) demands to power systems can stress the network reliability due their stochastic natures. This reduce quality in addition increasing losses voltage deviations. problem be solved by allocating RESs EV fast charging stations (FCSs) suitable locations on grid. So, this paper proposes a new approach using red kite optimization algorithm (ROA) for integrating FCSs distribution through identifying best sizes locations. fitness functions considered work are: reducing loss minimizing violation 24 h. Moreover, version multi-objective (MOROA) is proposed achieve both functions. study performed two standard networks IEEE-33 bus IEEE-69 bus. ROA compared dung beetle optimizer (DBO), African vultures (AVOA), bald eagle search (BES) algorithm, bonobo (BO), grey wolf (GWO), multi-verse (MOMVO), (MOGWO), artificial hummingbird (MOAHA). For network, succeeded deviation 58.24% 90.47%, respectively, while it minimized 68.39% 93.22%, respectively. fetched results proved competence robustness solving electrical networks.

Language: Английский

AI-Based Approach for Optimal Placement of EVCS and DG With Reliability Analysis DOI Creative Commons
Mohd Bilal, M. Rizwan, Ibrahim Alsaidan

et al.

IEEE Access, Journal Year: 2021, Volume and Issue: 9, P. 154204 - 154224

Published: Jan. 1, 2021

It is expected that the future transport will rely on electric vehicles (EVs) due to its sustainability and reduced greenhouse gas emissions. However, rapid increase in load penetration causes a number of other concerns, including generation-demand mismatch, an network active power loss, degradation voltage profile, decrease stability margin. To overcome aforesaid issues, proper integration vehicle charging stations (EVCS) at appropriate locations utmost important. The connection EVCS electricity grid bring new challenges. Distributed generation (DG) sources are incorporated with lessen impact EV load. In this study, combined DG units, which increases motivation use EVs. This study proposes artificial intelligence (AI) approach, hybrid grey wolf optimization particle swarm optimization, i.e., HGWOPSO, for investigating suitable nodes DGs balanced distribution system. proposed methodology verified IEEE-33 bus IEEE-69 According findings, obtained results consistent as compared existing techniques. These findings taken into consideration analyze reliability electrical network. stated using adequate data appropriately integrated EVs

Language: Английский

Citations

92
Applications of smart grid technology in Nepal: status, challenges, and opportunities DOI Open Access
Tek Narayan Bhattarai, Swastik Ghimire, Bandita Mainali

et al.

Environmental Science and Pollution Research, Journal Year: 2022, Volume and Issue: 30(10), P. 25452 - 25476

Published: Feb. 9, 2022

Language: Английский

Citations

61
Optimal Placement of Electric Vehicle Charging Stations in a Distribution Network With Randomly Distributed Rooftop Photovoltaic Systems DOI Creative Commons
Willy Stephen Tounsi Fokui,

Michael Juma Saulo,

Livingstone Ngoo

et al.

IEEE Access, Journal Year: 2021, Volume and Issue: 9, P. 132397 - 132411

Published: Jan. 1, 2021

The increasing number of electric vehicles (EVs) in today's transport sector is gradually leading to the phasing out petroleum-based vehicles. However, rapid deployment EVs largely depends on coordinated and fast expansion EV charging stations (EVCSs). integration EVCSs modern distribution network characterized by increased penetration randomly distributed photovoltaic (PV) systems challenging as they can lead excessive power losses voltage deviations beyond acceptable limits. In this paper, a hybrid bacterial foraging optimization algorithm particle swarm (BFOA-PSO) technique proposed for optimal placement into with high rooftop PV systems. problem formulated multi-objective minimizing active reactive losses, average deviation index, maximizing stability index. IEEE 69 node used case network. simulation done using MATLAB integrate five cases sized placed For all cases, minimal increase recorded minor changes indices due EVCSs. But voltages nodes 29 48, other remain unchanged upon largest being brought PVs was noticed 3 (from 142.27kW, 62.90kVar 147.65kW, 72.48kVar).

Language: Английский

Citations

57
Multi-objective Stochastic Planning of Electric Vehicle Charging Stations in Unbalanced Distribution Networks Supported by Smart Photovoltaic Inverters DOI
Khalil Gholami, Shahram Karimi, Amjad Anvari‐Moghaddam

et al.

Sustainable Cities and Society, Journal Year: 2022, Volume and Issue: 84, P. 104029 - 104029

Published: June 25, 2022

Language: Английский

Citations

52
Techno-Economic and Environmental Analysis of Grid-Connected Electric Vehicle Charging Station Using AI-Based Algorithm DOI Creative Commons
Mohd Bilal, Ibrahim Alsaidan, Muhannad Alaraj

et al.

Mathematics, Journal Year: 2022, Volume and Issue: 10(6), P. 924 - 924

Published: March 14, 2022

The rapid growth of electric vehicles in India necessitates more power to energize such vehicles. Furthermore, the transport industry emits greenhouse gases, particularly SO2, CO2. national grid has supply an enormous amount on a daily basis due surplus required charge these This paper presents various hybrid energy system configurations meet requirements vehicle charging station (EVCS) situated northwest region Delhi, India. three are: (a) solar photovoltaic/diesel generator/battery-based EVCS, (b) photovoltaic/battery-based and (c) grid-and-solar photovoltaic-based EVCS. meta-heuristic techniques are implemented analyze technological, financial, environmental feasibility possible configurations. optimization algorithm intends reduce total net present cost levelized while keeping value lack probability within limits. To confirm solution quality obtained using modified salp swarm (MSSA), popularly used HOMER software, (SSA), gray wolf applied same problem, their outcomes equated those attained by MSSA. MSSA exhibits superior accuracy robustness based simulation outcomes. performs much better terms computation time followed SSA optimization. results reduced values all configurations, i.e., USD 0.482/kWh, 0.684/kWh, 0.119/kWh 1, 2, 3, respectively. Our findings will be useful for researchers determining best method sizing components.

Language: Английский

Citations

47
A comprehensive planning framework for electric vehicles fast charging station assisted by solar and battery based on Queueing theory and non-dominated sorting genetic algorithm-II in a co-ordinated transportation and power network DOI
Nikhil Kumar, Tushar Kumar, Savita Nema

et al.

Journal of Energy Storage, Journal Year: 2022, Volume and Issue: 49, P. 104180 - 104180

Published: Feb. 11, 2022

Language: Английский

Citations

40
An Optimal Distributed RES Sizing Strategy in Hybrid Low Voltage Networks Focused on EVs’ Integration DOI Creative Commons
Vasileios Boglou, Christos‐Spyridon Karavas, Athanasios Karlis

et al.

IEEE Access, Journal Year: 2023, Volume and Issue: 11, P. 16250 - 16270

Published: Jan. 1, 2023

The new era of the energy sector has already begun, and therefore, challenges need to be tackled. A major challenge that residential distribution grids are going encounter with integration photovoltaic (PV) panels electric vehicles (EVs) is unsynchronized demand time-limited production distributed generation, in combination space limitations. Therefore, necessity storage systems (ESSs) more than evident. ESSs have excessive manufacturing costs, implying purchase cost for users can prohibitive. In present work, a optimal small-scale PV system sizing strategy proposed, by considering individual needs each residence their EVs. formulated based on households EVs charging. By enabling fuzzy cognitive maps theory, graph designed, aiming establish correlation among parameters characteristics renewable sources (RES). optimization results reveal adopted hybrid approach reduce significantly, up almost 40%, while operators (DSOs) incorporate additional loads, without network expansion. Finally, extracted results, short discussion about concept EVs' charging RES presented.

Language: Английский

Citations

29
A Comprehensive Data Analysis of Electric Vehicle User Behaviors Toward Unlocking Vehicle-to-Grid Potential DOI Creative Commons
Alpaslan Demirci, Said Mirza Tercan, Ümit Cali

et al.

IEEE Access, Journal Year: 2023, Volume and Issue: 11, P. 9149 - 9165

Published: Jan. 1, 2023

Electric vehicles (EVs) improve the power grid by increasing intermittent renewable energy consumption and providing financial support to EV users via vehicle-to-grid (V2G) integration. While estimating these advantages, a number of studies have neglected consider effect driving charging behavior patterns on their results. This article provides framework that systematically evaluates behaviors charge management in light recent standards advancements. In addition, collected data habits are analyzed order provide consistent usable dataset. By evaluating individual simultaneous demand characteristics, V2G potential is further explored. Moreover, managerial recommendations for offered improving time step using Bootstrap approach more precise results than lower resolution. It also addressed use limited EVs required minimum time. According findings this study, daily travel crucial influence defining seasonal demands. continue with charging-related assessments confidence interval 95%, suggest steps ten minutes must be used. purpose study assist researchers from academia business information as they build initiatives linked infrastructure real-time account environmental aspects.

Language: Английский

Citations

26
Optimal Deployment of Electric Vehicles’ Fast-Charging Stations DOI Creative Commons
Irfan Ullah, Kai Liu, Safa Bhar Layeb

et al.

Journal of Advanced Transportation, Journal Year: 2023, Volume and Issue: 2023, P. 1 - 14

Published: April 3, 2023

As climate change has become a pressing concern, promoting electric vehicles’ (EVs) usage emerged as popular response to the pollution caused by fossil-fuel automobiles. Locating charging stations in areas with an expanding infrastructure is crucial accessibility and future success of EVs. Nonetheless, suitable planning deployment for EV fast-charging one most critical determinants large-scale adoption. Installing existing fuel/gas city may be effective way persuade people adopt In this paper, we aim optimally locate station gas real-world scenario Aichi Prefecture, Japan. The purpose size such ways that drivers can get access these facilities within rational driving range while considering constraints. Furthermore, include investment cost EVs users' convenience cost. This problem formulated five integer linear programming using weighted set covering models. developed model determines where well how many chargers should installed each station. experimental results demonstrate appropriate location scheme obtained M 5 . A computational experiment identifies best solutions policymakers consider context growing environmental policies.

Language: Английский

Citations

24
A comprehensive review on coordinated charging of electric vehicles in distribution networks DOI
Isha Chandra, Navneet Kumar Singh, Paulson Samuel

et al.

Journal of Energy Storage, Journal Year: 2024, Volume and Issue: 89, P. 111659 - 111659

Published: April 19, 2024

Language: Английский

Citations

13