Journal of Energy Storage, Journal Year: 2025, Volume and Issue: 111, P. 115366 - 115366
Published: Feb. 1, 2025
Language: Английский
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
Alexandria Engineering Journal, Journal Year: 2024, Volume and Issue: 105, P. 300 - 330
Published: July 6, 2024
Language: Английский
Citations
28
Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)
Published: March 7, 2024
Abstract This paper presents a cutting-edge Sustainable Power Management System for Light Electric Vehicles (LEVs) using Hybrid Energy Storage Solution (HESS) integrated with Machine Learning (ML)-enhanced control. The system's central feature is its ability to harness renewable energy sources, such as Photovoltaic (PV) panels and supercapacitors, which overcome traditional battery-dependent constraints. proposed control algorithm orchestrates power sharing among the battery, supercapacitor, PV optimizing utilization of available ensuring stringent voltage regulation DC bus. Notably, ML-based ensures precise torque speed regulation, resulting in significantly reduced ripple transient response times. In practical terms, system maintains bus within mere 2.7% deviation from nominal value under various operating conditions, substantial improvement over existing systems. Furthermore, supercapacitor excels at managing rapid variations load power, while battery adjusts smoothly meet demands. Simulation results confirm robust performance. HESS effectively stability, even most challenging conditions. Additionally, exceptionally robust, negligible steady-state fast also handles reversal commands efficiently, vital real-world applications. By showcasing these capabilities, lays groundwork more sustainable efficient future LEVs, suggesting pathways scalable advanced electric mobility solutions.
Language: Английский
Citations
25
Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)
Published: Feb. 8, 2024
Abstract This paper proposes an innovative approach for improving the charging efficiency of electric vehicles (EVs) by combining photovoltaic (PV) systems with AC–DC Power Factor Correction (PFC). The proposed employs bi-directional power flow management within PFC system, allowing enhanced resource utilization and EV battery capacity under a variety environmental circumstances. A modified Lyapunov-based robust model reference adaptive controller (M-LRMRAC) is developed to provide real-time Maximum Point Tracking (MPPT) PV array. By quickly recording MPP, this skilfully adjusts shifting radiation temperature dynamics. noteworthy accomplishment that M-LRMRAC outperforms traditional Perturb Observe (P&O) techniques achieving quick MPP convergence (0.54 s). Additionally, benefits integrated system go beyond effective MPPT. method achieves operating at unity factor reduces total harmonic distortion, which results in improved quality when Batteries (EVB). entire solution provided multifaceted architecture improves electricity delivered batteries while also increasing energy efficiency. research helps evolution sustainable dependable infrastructure solving difficulties optimising performance. combination PFC, aided technology, presents viable route attaining efficient, clean, high-quality charging, hence supporting shift greener more transportation landscape.
Language: Английский
Citations
23
Sustainable Energy Technologies and Assessments, Journal Year: 2024, Volume and Issue: 65, P. 103784 - 103784
Published: April 27, 2024
Language: Английский
Citations
15
Results in Engineering, Journal Year: 2024, Volume and Issue: unknown, P. 103671 - 103671
Published: Dec. 1, 2024
Language: Английский
Citations
12
Alexandria Engineering Journal, Journal Year: 2024, Volume and Issue: 93, P. 236 - 258
Published: March 19, 2024
Nowadays business has shifted from product-centric to customer-centric due the industrial revolution. As a result, customer's problem and experience need be studied inspected thoroughly find solutions. Charging stations implementing different charging technologies are reinforced in various topographical locations. Varied methods, including AC slow charging, fast DC level 1 2 wireless is implemented so far reduce time. Various models established reported by researchers support EV ecosystem. This paper presents one such model for an electric vehicle (EV) system. Design Thinking of problem-solving approaches discussed here. How tackle issues also discussed. Different phases used possible solution problems faced customers. groups customers' how proposed can fulfil major group needs
Language: Английский
Citations
11
Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)
Published: July 8, 2024
Abstract The use of plug-in hybrid electric vehicles (PHEVs) provides a way to address energy and environmental issues. Integrating large number PHEVs with advanced control storage capabilities can enhance the flexibility distribution grid. This study proposes an innovative management strategy (EMS) using Iterative map-based self-adaptive crystal structure algorithm (SaCryStAl) specifically designed for microgrids renewable sources (RESs) PHEVs. goal is optimize multi-objective scheduling microgrid wind turbines, micro-turbines, fuel cells, solar photovoltaic systems, batteries balance power store excess energy. aim minimize operating costs while considering impacts. optimization problem framed as nonlinear constraints, fuzzy logic aid decision-making. In first scenario, optimized all RESs installed within predetermined boundaries, in addition grid connection. second operates turbine at rated power. third case involves integrating into three charging modes: coordinated, smart, uncoordinated, utilizing standard RES SaCryStAl showed superior performance operation cost, emissions, execution time compared traditional CryStAl other recent methods. proposed achieved optimal solutions scenario cost emissions 177.29 €ct 469.92 kg, respectively, reasonable frame. it yielded values 112.02 196.15 respectively. Lastly, achieves 319.9301 €ct, 160.9827 128.2815 uncoordinated charging, coordinated smart modes Optimization results reveal that outperformed evolutionary algorithms, such differential evolution, CryStAl, Grey Wolf Optimizer, particle swarm optimization, genetic algorithm, confirmed through test cases.
Language: Английский
Citations
10
Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)
Published: Feb. 10, 2025
Solar-powered EV charging stations offer a sustainable and reliable alternative to traditional infrastructure, significantly alleviating stress on legacy grid systems. However, the intermittent nature of renewable energy sources poses challenge for management in power distribution networks. To address this, optimal charge/discharge scheduling EVs becomes crucial. This paper introduces an innovative Opposition-based Competitive Swarm Optimization (OCSO) technique minimize total cost IEEE 33-bus system. Five strategically placed solar-powered distinct buses are evaluated under three modes: dumb charging, smart grid-to-vehicle (G2V) vehicle-to-grid (V2G) charging. Comprehensive analyses performed critical parameters, including bus voltage stability, load profiles, electricity state-of-charge (SOC) dynamics, thermal performance transformers. Notably, losses reduced by 13.7% 21.6% G2V V2G modes, respectively, compared Furthermore, cumulative ageing factor transformers is 11.86%, indicating extended transformer lifespan. These findings demonstrate that stations, coupled with advanced strategies, can effectively mitigate impacts, enhance operational efficiency, contribute reducing net carbon emissions.
Language: Английский
Citations
1
Applied Sciences, Journal Year: 2025, Volume and Issue: 15(5), P. 2741 - 2741
Published: March 4, 2025
The growing adoption of electric vehicles (EVs) presents new challenges for managing parking infrastructure, particularly concerning charging station utilization and user behavior patterns. This review examines the current state-of-the-art in intelligent monitoring systems EV stations facilities. We specifically focus on two key inefficiencies: occupying spots beyond optimal fast-charging range (80% state-of-charge) remaining connected even after reaching full capacity (100%). analyze theoretical practical foundations these systems, summarizing existing research architectures commercial implementations. Building this analysis, we also propose a novel framework that integrates Internet things (IoT) sensors, edge computing, cloud services to enable real-time monitoring, predictive maintenance, adaptive control. addresses both technical aspects behavioral factors influencing management. Based comparative analysis simulation studies, performance benchmarks outline critical directions requiring further experimental validation. proposed architecture aims offer scalable, adaptable, secure solution optimizing infrastructure while addressing gaps field.
Language: Английский
Citations
1