Published: Dec. 12, 2023
Language: Английский
IET Electrical Systems in Transportation, Journal Year: 2023, Volume and Issue: 2023, P. 1 - 13
Published: Nov. 17, 2023
Electric vehicle charging stations (EVCSs) are important infrastructures to support sustainable development of electric vehicles (EVs), by providing convenient, rapid services. Therefore, the planning network (EVCN) has attracted wide interest from both industry and academia. In this paper, a multiobjective model for EVCN is developed, where fixed number EVCSs planned in traffic (TN) achieve two objectives, i.e., minimizing average travel distance (TDfC) EVs investment costs EVCN. According random characteristics EVs’ TDfC, its constraint presented as chance developed model. The nondominated sorting genetic Algorithm II with domination principle (NSGA-II-CDP) customized solve model, designing special coding scheme, crossover operator, mutation operator. Then, maximum gradient revenue designed select optimal strategy Pareto-optimal solution set, when taking return ratio primary consideration. A 25-node TN used justify effectiveness methodology.
Language: Английский
Citations
1
Published: Dec. 3, 2023
This paper presents a novel hybrid maximum power point tracking (MPPT) technique that combines conventional and artificial intelligence (CAI) algorithms. Autonomous photovoltaic (PV) energy generation directly relies on solar systems in particular manner because PV electricity have low conversion efficiency, therefore has significant aspect of reliable operation system for extraction maximal power. Obtaining amount possible from panel is essential to increase system's produced MPPT strategy required due nonlinear behaviour the voltage-current characteristic arrays with distinct point. algorithm been introduced different irradiance temperature circumstances, which simulated MATLAB/Simulink by developing model results verified beyond varying weather conditions substantiate efficacy at (MPP) panel.
Language: Английский
Citations
1
Published: Dec. 3, 2023
This paper presents a proposed solution for Constant V and Q controlled Renewable Rich Grid Connected Electric Vehicle Charging Station. The aims to address the challenges of electric vehicle charging infrastructure, which is currently facing issues limited renewable energy sources, grid instability, high capital operational costs. offers smart sustainable station that integrates sources with control system ensure stability efficient use energy. incorporates solar photovoltaic panels, wind turbines, storage units generate store equipped bi-directional charger allows provide power during peak demand hours draw off-peak hours. also user-friendly mobile application users reserve slots monitor their status. provides stable voltage frequency transfer between station. scalable cost-effective model EV infrastructure can be replicated in other regions similar challenges.
Language: Английский
Citations
0
Published: Dec. 18, 2023
Electric vehicles (EVs) have been presenting themselves as a modern load in the eclectic power system. EVs great potential to positively contribute greenhouse gases emission reduction and less reliance on fossil fuel combustion engine vehicles. The impact of electric vehicle charging typical distribution system specific geographical region Libya is focus this paper. This research started by collecting needed data circuit models an available line Al-Bayda city, converter, EV battery load, then implementing overall model Matlab/Simulink software perform simulation studies. Single three-phase chargers-based controlled rectifiers are built selected at home public areas respectively. Two scenarios were considered, first was simulate without chargers, while second presence chargers. last task adopted methodology, order attain objectives research, compare two based voltage current waveforms different stations. main findings that shape voltages nearest busbars chargers slightly impacted these currents drawn from grid almost affected, so injecting harmonics into grid.
Language: Английский
Citations
0
Published: Dec. 12, 2023
Language: Английский
Citations
0