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

Solar Energy-Powered Battery Electric Vehicle charging stations: Current development and future prospect review DOI
Kah Yung Yap, Hon Huin Chin, Jiří Jaromír Klemeš

et al.

Renewable and Sustainable Energy Reviews, Journal Year: 2022, Volume and Issue: 169, P. 112862 - 112862

Published: Sept. 6, 2022

Language: Английский

Citations

99
Optimal scheduling and techno-economic analysis of electric vehicles by implementing solar-based grid-tied charging station DOI
Zia Ullah, Shaorong Wang, Wu Guan

et al.

Energy, Journal Year: 2022, Volume and Issue: 267, P. 126560 - 126560

Published: Dec. 29, 2022

Language: Английский

Citations

93
A comprehensive review on advanced charging topologies and methodologies for electric vehicle battery DOI
Mohd Rizwan Khalid, Furkan Ahmad, Bijaya Ketan Panigrahi

et al.

Journal of Energy Storage, Journal Year: 2022, Volume and Issue: 53, P. 105084 - 105084

Published: June 18, 2022

Language: Английский

Citations

87
Review of electric vehicles integration impacts in distribution networks: Placement, charging/discharging strategies, objectives and optimisation models DOI

Sigma Ray,

Kumari Kasturi, Samarjit Patnaik

et al.

Journal of Energy Storage, Journal Year: 2023, Volume and Issue: 72, P. 108672 - 108672

Published: Aug. 16, 2023

Language: Английский

Citations

64
Intelligent energy management scheme‐based coordinated control for reducing peak load in grid‐connected photovoltaic‐powered electric vehicle charging stations DOI Creative Commons
Mohammad Amir,

Zaheeruddin,

Ahteshamul Haque

et al.

IET Generation Transmission & Distribution, Journal Year: 2023, Volume and Issue: 18(6), P. 1205 - 1222

Published: Feb. 15, 2023

Abstract Solar‐based Distributed Generation (DG) powered Electric Vehicles (EVs) charging stations are widely adopted nowadays in the power system networks. In this process, distribution grid faces various challenges caused by intermittent solar irradiance, peak EVs load, while controlling state of charge (SoC) batteries during dis(charging) phenomena. paper, an intelligent energy management scheme (IEMS)‐based coordinated control for photovoltaic (PV)‐based is proposed. The proposed IEMS optimizes PV generation and utilization EV (EVCS) analysing real‐time meteorological load demand data. EMS provides flow between generation, grid, battery storage a manner which results reduction factor two. Further, adaptive neuro‐based fuzzy approach includes forecasting solar‐based electricity loads predictions to optimize according Indian scenario. optimally utilizes buffer reducing with low losses impact on grid. analysed using digital simulation model validated hardware‐in‐loop experimental setup.

Language: Английский

Citations

59
Planning of EV Charging Station With Distribution Network Expansion Considering Traffic Congestion and Uncertainties DOI
Arnab Pal, Aniruddha Bhattacharya,

Ajoy Kumar Chakraborty

et al.

IEEE Transactions on Industry Applications, Journal Year: 2023, Volume and Issue: 59(3), P. 3810 - 3825

Published: Jan. 17, 2023

Proper planning for electric vehicle (EV) charging stations along with the required expansion of distribution network is essential continuous growth EV and conventional loads. This paper proposes a realistic sustainable solution deciding location capacity fast-charging optimal multistage to cope future load growth. An overlaid traffic taken approach. user convenience factor happiness are proposed energy loss better stations. To get charged, appropriate station its best route decided through minimum consumption by EVs, considering congestion distances. Up-gradation lines, up-gradation substation, addition new station, allocation DSTATCOM renewable-based distributed generation performed planning. The whole work formulated in three layers sub-layer. Uncertainties driving patterns, requirement, congestion, renewable undertaken 2m point estimation method. carried out validation using different metaheuristic methods integer linear programming.

Language: Английский

Citations

54
A Comprehensive Review and Analysis of the Allocation of Electric Vehicle Charging Stations in Distribution Networks DOI Creative Commons

T. Yuvaraj,

K. R. Devabalaji,

J.S.V.Siva Kumar

et al.

IEEE Access, Journal Year: 2024, Volume and Issue: 12, P. 5404 - 5461

Published: Jan. 1, 2024

In recent times, the limited availability of fossil fuels and growing concerns regarding emission greenhouse gases (GHGs) have directly impacted shift from conventional automobiles to electric vehicles (EVs). Additionally, there been notable advancements in new energy research, which significantly improved viability EVs. Consequently, EVs gained widespread recognition rapidly adopted many countries worldwide. However, rapid growth has given rise several challenges, such as insufficient charging infrastructure, unequal distribution, high costs, a lack stations, become increasingly significant. The facilities is hindering adoption more people embrace EVs, installation vehicle stations (EVCSs) public locations. Recent research focused on identifying ideal locations for EVCSs order assist electrification transport systems meet demand A well-developed EVCS infrastructure can help address some key issues facing pricing range limitations. Researchers used various methodologies, objective functions, constraints formulate problem best sites EVCSs. Current determining This endeavor intends ease transition electrified networks while also addressing review article explores optimization techniques achieve optimal solutions considering impact EV load distribution system (DS), environmental implications, economic impact. standard IEEE 33-bus radial (RDS) with full variety potential sources improve understanding subject. use bald eagle search algorithm (BESA) cuckoo (CSA) aided identification source their relative capacities. addition, examination techniques, including both traditional technique (TCT) innovative (ICT), being undertaken assess effectiveness these approaches. study included ten separate scenarios, each was thoroughly evaluated demonstrate individual synergistic usefulness mitigating effects DS. collected data empirical inquiry aggregated analyzed.

Language: Английский

Citations

43
Hybrid genetic algorithm-simulated annealing based electric vehicle charging station placement for optimizing distribution network resilience DOI Creative Commons

B. Anil Kumar,

B. Jyothi,

Arvind R. Singh

et al.

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: April 1, 2024

Abstract Rapid placement of electric vehicle charging stations (EVCSs) is essential for the transportation industry in response to growing (EV) fleet. The widespread usage EVs an strategy reducing greenhouse gas emissions from traditional vehicles. focus this study challenge smoothly integrating Plug-in EV Charging Stations (PEVCS) into distribution networks, especially when distributed photovoltaic (PV) systems are involved. A hybrid Genetic Algorithm and Simulated Annealing method (GA-SAA) used research strategically find optimal locations PEVCS order overcome integration difficulty. This paper investigates PV system situations, presenting problem as a multicriteria task with two primary objectives: power losses maintaining acceptable voltage levels. By optimizing EVCS balancing their generation, approach enhances sustainability reliability networks.

Language: Английский

Citations

38
Sustainable energy integration and optimization in microgrids: enhancing efficiency with electric vehicle charging solutions DOI
Aykut Fatih Güven, E. Kent Yucel

Electrical Engineering, Journal Year: 2024, Volume and Issue: unknown

Published: July 16, 2024

Language: Английский

Citations

17
Sustainable hybrid systems for electric vehicle charging infrastructures in regional applications DOI Creative Commons
Aykut Fatih Güven,

Nilya Ateş,

Saud Alotaibi

et al.

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: Feb. 4, 2025

Increasing greenhouse gas (GHG) emissions and environmental issues have heightened the demand for renewable energy sources (RES) prompted a swift transition to electric vehicles (EVs) in transportation sector. This shift underscores need address challenges of electricity supply continuity vehicle charging stations (EVCS). study aims determine most suitable hybrid systems ensure EVCSs Çukurova region Adana, Turkey. Six different scenarios involving components such as photovoltaic (PV) panel, wind turbine (WT), biomass generators (BG), electrolyzer (Elz), hydrogen tank (HT), fuel cell (FC), batteries (Bat), inverter (Inv), grid were analyzed using HOMER Pro microgrid analysis tool version 3.14.2 software. The optimization results indicated that feasible system was Scenario 4, comprising PV, BG, Elz, HT, FC, Inv, components. scenario's total net present cost (NPC) $611,283.50, with levelized (LCOE) $0.0215. annual production consumption 1,507,169 kWh 1,420,714 kWh, respectively. fact generated from exceeds sourced reduces payback period system. These findings highlight economic sustainable potential enhancing performance EVCS solar-rich regions.

Language: Английский

Citations

2