Proceedings of the Genetic and Evolutionary Computation Conference, Journal Year: 2024, Volume and Issue: unknown, P. 1192 - 1200
Published: July 8, 2024
Language: Английский
Heliyon, Journal Year: 2025, Volume and Issue: unknown, P. e42193 - e42193
Published: Jan. 1, 2025
Language: Английский
Citations
0
Lecture notes in networks and systems, Journal Year: 2025, Volume and Issue: unknown, P. 955 - 963
Published: Jan. 1, 2025
Language: Английский
Citations
0
Lecture notes in electrical engineering, Journal Year: 2025, Volume and Issue: unknown, P. 423 - 430
Published: Jan. 1, 2025
Language: Английский
Citations
0
Transportation research procedia, Journal Year: 2025, Volume and Issue: 84, P. 426 - 433
Published: Jan. 1, 2025
Language: Английский
Citations
0
Electronics, Journal Year: 2025, Volume and Issue: 14(7), P. 1284 - 1284
Published: March 25, 2025
With the evolution of distribution network to an active bidirectional interactive system, as important load interface in network, large-scale access charging piles not only brings challenges power quality but also provides opportunities for regulation and optimization. This paper discusses main factors affecting due piles. The problems such voltage fluctuation harmonics caused by are described. Then, key technologies potential management summarized, focusing on technical progress harmonic suppression regulation. Finally, outlook optimization directions related technologies. reveals positive role networks from perspective devices. It a reference future research participation pile integration management.
Language: Английский
Citations
0
Elsevier eBooks, Journal Year: 2025, Volume and Issue: unknown, P. 121 - 157
Published: Jan. 1, 2025
Language: Английский
Citations
0
World Electric Vehicle Journal, Journal Year: 2024, Volume and Issue: 15(4), P. 155 - 155
Published: April 9, 2024
This article examines a new powertrain system for electric vehicles based on the dual-star induction machine, presented as promising option due to its significant advantages in terms of performance, energy efficiency, and reliability. could play key role evolution electro-mobility technology. The machine reduces electromagnetic torque fluctuations, limits current harmonics, improves power factor, enables half-speed operation. Our study focuses control strategy operation traction chain propelled by (DSIM) using Matlab software with version 2017. We integrate battery main source, along three-level static converters conversion vehicle’s four operating quadrants. have opted sliding mode control, which has proven be feasible robust against external disturbances. Although we modeled driver behavior, consider it an aspect add driving profile guide our evaluation used vehicle results demonstrate reliability robustness DSIM motorization speed control. Promoting this technology is essential improve overall performance efficiency vehicles, especially braking modes recovery. underscores importance sustainable development transportation system.
Language: Английский
Citations
3
Cleaner Energy Systems, Journal Year: 2024, Volume and Issue: 8, P. 100123 - 100123
Published: April 19, 2024
The transition from Internal Combustion Engine (ICE) vehicles to Electric Vehicles (EVs) is imperative achieve the goal of reducing transport-related greenhouse gas emissions by 90% in 2050. As urbanization intensifies, vehicle miles urban environments increase and cities already consume 75% global energy, there a pressing need for efficient charging infrastructure (CI) placement tailored environments. Accordingly, this paper conducts systematic literature review outline prevailing research derive requirements future CI model adaptable Analysis N=57 studies underscores necessity agent-based demand models capture intricate behaviors EV drivers, which are currently underrepresented due their data-heavy nature (n = 28 flow-based; n 18 node-based). Furthermore, with projected surge 800% installations Europe 2030, strategic according urban-specific paramount. Still, multi-periodicity considerations largely absent current 50). Geometric segmentation presented as solution mitigate partial coverage issues. Ultimately, models, coupled geometric segmentation, emerge pivotal environments, facilitating EVs, aligning emission reduction targets, ensuring resource efficiency, fostering sustainability.
Language: Английский
Citations
3
International Journal of Hydrogen Energy, Journal Year: 2024, Volume and Issue: 90, P. 134 - 158
Published: Oct. 4, 2024
Language: Английский
Citations
3
World Electric Vehicle Journal, Journal Year: 2024, Volume and Issue: 15(4), P. 170 - 170
Published: April 18, 2024
In recent years, there has been rapid advancement in new energy technologies aimed at mitigating greenhouse gas emissions stemming from fossil fuels. Nonetheless, uncertainties persist both the power output of sources and load. To effectively harness economic operational potential an Integrated Energy System (IES), this paper introduces enhanced uncertainty set. This set incorporates N-1 contingency considerations nuances source–load distribution. framework is applied to a robust optimization model for Electric Vehicle (EV-IES), which includes Battery Swapping Station (EVBSS). Firstly, establishes IES EVBSS, then proceeds classifies schedules large-scale battery groups within these stations. Secondly, proposes account status multiple units system. It also considers characteristics loads. Additionally, it takes into consideration state multi-interval distribution characteristics. Subsequently, multi-time-scale optimal scheduling established with objective minimizing total cost IES. The day-ahead fully multivariate solution employs Nested Column Constraint Generation (C&CG) algorithm, based on discrete variables model. intraday reallocates each unit results scheduling. Finally, simulation demonstrate that proposed method reduces conservatism set, ensuring stable operation EV-IES while meeting demands electric vehicle users.
Language: Английский
Citations
2