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[IEEE 2018 UKSim-AMSS 20th International Conference on Computer Modelling and Simulation (UKSim) - Cambridge, United Kingdom (2018.3.27-2018.3.29)] 2018 UKSim-AMSS 20th International Conference on Computer Modelling and Simulation (UKSim) - Design and Simulation of Solar Grid-Connected Charger for Electric Vehicles
摘要： The paper presents a solar-powered electric vehicle (EV) charging station designed for green energy utilization. The system integrates photovoltaic (PV) panels, DC-DC power converters, and inverters to convert solar energy into usable power for EVs. A simulation model is developed to analyze the charging process, energy efficiency, and grid interaction. Results show that the system can effectively charge multiple EVs with minimal grid dependency, promoting sustainable transportation. The design includes calculations for voltage, current, and power ratings, validated through simulation comparisons.
关键词： Inverters,Simulation,Green design,Electric Vehicles,Charging stations,DC-DC power converters
更新于2025-09-23 15:22:29
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Joint deployment of charging stations and photovoltaic power plants for electric vehicles
摘要： The focus of this study is to jointly design charging stations and photovoltaic (PV) power plants with time-dependent charging fee, to improve the management of the coupled transportation and power systems. We first propose an efficient and extended label-setting algorithm to solve the EV joint routing and charging problem that considers recharging amount choices at different stations and loop movement cases. Then, a variational inequality problem is formulated to model the equilibrium of EV traffic on transportation networks, and an optimal power flow model is proposed to model the power network flow with PV power plants and optimally serve the EV charging requirements. Based on the above models for describing system states, we then formulate a model to simultaneously design charging stations, PV plants, and time-dependent charging fee. A surrogate-based optimization (SBO) algorithm is adopted to solve the model. Numerical examples demonstrate that the proposed SBO algorithm performs well. Additionally, important insights concerning the infrastructure design and price management of the coupled transportation and power networks are derived accordingly.
关键词： Time-dependent pricing,PV power plants,Electric vehicles,Surrogate-based optimization,Charging stations
更新于2025-09-19 17:13:59
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[IEEE IECON 2019 - 45th Annual Conference of the IEEE Industrial Electronics Society - Lisbon, Portugal (2019.10.14-2019.10.17)] IECON 2019 - 45th Annual Conference of the IEEE Industrial Electronics Society - Design and Control of a Photovoltaic-Fed Dc-Bus Electric Vehicle Charging Station
摘要： This paper presents a stand-alone dc-bus Electric Vehicle (EV) charging station system using a photovoltaic (PV) source. The proposed topology includes a PV panel, an energy storage unit (ESU), and two EVs. Each unit is controlled independently; a voltage regulation scheme is implemented within the ESU converter to ensure the dc bus voltage is maintained at the nominal level under varying operating conditions. Two different operating scenarios are studied, and the results confirm that the algorithm developed allows regulating the dc bus voltage either with varying solar irradiance or when EVs are connected and disconnected from the dc grid. The proposed design offers lower energy conversion losses compared to the ac configuration and reduces energy demand on the existing ac distribution grid. It also finds applications in remote areas where parking facilities are provided for recreational purpose.
关键词： Electric Vehicle,Charging Stations,Photovoltaic,Energy Storage,Voltage control
更新于2025-09-16 10:30:52
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Cooperative Management for PV/ESS-Enabled Electric-Vehicle Charging Stations: A Multi-Agent Deep Reinforcement Learning Approach
摘要： This paper proposes a novel multi-agent deep reinforcement learning method for the energy management of distributed electric vehicle charging stations with a solar photovoltaic system and energy storage system. In the literature, the conventional method is to calculate the optimal electric vehicle charging schedule in a centralized manner. However, in general, the centralized approach is not realistic under certain environments where the system operators for multiple electric vehicle charging stations handle dynamically varying data, such as the status of the energy storage system and electric vehicle-related information. Therefore, this paper proposes a method that can compute the scheduling solutions of multiple electric vehicle charging stations in a distributed manner while handling run-time time-varying dynamic data. As shown in the data-intensive performance evaluation, it can be observed that the proposed method achieves a desirable performance in terms of reducing the operation costs of electric vehicle charging stations.
关键词： solar photovoltaic system,energy management,electric vehicle charging stations,multi-agent deep reinforcement learning,energy storage system
更新于2025-09-16 10:30:52
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Design and Sizing of Mobile Solar Photovoltaic Power Plant to Support Rapid Charging for Electric Vehicles
摘要： Existing DC fast-charging stations are experiencing power quality issues such as high harmonics in the line current, poor power factor in the input supply, and overloading of distribution transformers, due to the dynamic behavior of charging patterns when it is connected to the power grid. Most of the recent works involve the usage of renewable energy sources to mitigate the issues on the distribution grid. In order to design a mobile plug and play DC fast charging station, solar energy is the best and viable solution to carry out. In this paper, plug and play solar photovoltaic power plant to charge electric vehicles (EVs) is proposed and modelled using MATLAB/Simulink software. The proposed system can act as a mobile power plant. The controller allows the system to charge the battery, whenever there is abundant solar energy. Incoming EVs will be charged directly from the system battery where the charger acts as a rapid charging system. The proposed system can meet the concept of Solar Photovoltaic Rapid Charging Stations (SPRCS), which shows that 80% of charge can be fed to an EV in 10.25 min.
关键词： Solar Photovoltaic Rapid Charging Stations (SPRCS),plug and play DER,mobile power plant,Vehicle to Vehicle power transfer (V2V),Photovoltaic based charging station (PV-EV),PV based charging Station (PVCS)
更新于2025-09-12 10:27:22