scholarly journals Analysis of EV Cost-Based Charging Load Profiles

Proceedings ◽  
2020 ◽  
Vol 65 (1) ◽  
pp. 2
Author(s):  
Elisavet Koutsi ◽  
Sotirios Deligiannis ◽  
Georgia Athanasiadou ◽  
Dimitra Zarbouti ◽  
George Tsoulos
Keyword(s):  
Electric Vehicles ◽  
User Preferences ◽  
Reference Scenario ◽  
Electricity Prices ◽  
Horizon 2020 ◽  
Vehicle To Grid ◽  
Electrical Grid ◽  
Incentive Strategies ◽  
Grid Load ◽  
The Impact

During the last few decades, electric vehicles (EVs) have emerged as a promising sustainable alternative to traditional fuel cars. The work presented here is carried out in the context of the Horizon 2020 project MERLON and targets the impact of EVs on electrical grid load profiles, while considering both grid-to-vehicle (G2V) and vehicle-to-grid (V2G) operation modes. Three different charging policies are considered: the uncontrolled charging, which acts as a reference scenario, and two strategies that fall under the umbrella of individual charging policies based on price incentive strategies. Electricity prices along with the EV user preferences are taken into account for both charging (G2V) and discharging (V2G) operations, allowing for more realistic scenarios to be considered.

scholarly journals Research on the impact of different charge and discharge modes of electric vehicles on power grid load

2020 ◽  
Vol 1549 ◽  
pp. 042147
Author(s):  
Wen Wen ◽  
Lifang Wang ◽  
Mengdi Zhu ◽  
Zhou Peng ◽  
Fangling Yao
Keyword(s):  
Electric Vehicles ◽  
Power Grid ◽  
Grid Load ◽  
The Impact

scholarly journals The Impacts of Electric Vehicle Growth on Wholesale Electricity Prices in Wisconsin

2020 ◽  
Vol 11 (2) ◽  
pp. 32
Author(s):  
Megan Zielke ◽  
Adria Brooks ◽  
Gregory Nemet
Keyword(s):  
Electric Vehicle ◽  
Electric Vehicles ◽  
Rapid Growth ◽  
Electricity Pricing ◽  
Transmission Congestion ◽  
Electricity Prices ◽  
Electric Vehicle Charging ◽  
Marginal Prices ◽  
Locational Marginal Prices ◽  
The Impact

This work explores the impact of the rapid growth of plug-in electric vehicles on wholesale electricity pricing. Understanding electric vehicle impacts on the grid is important for the mid- and long-range planning of transmission owners, distribution utilities, and regional system operators. Current research in electric vehicles considers technology adoption projections and the infrastructure needed to support electric vehicle growth. This work considers how projected electric vehicle growth in the State of Wisconsin would impact the transmission congestion and wholesale electricity pricing in the year 2030. We find minimal impacts on electricity prices (<2%) even under rapid growth assumptions, in which EVs comprise 5% of all vehicles in 2030. The increases seen in hourly locational marginal prices (LMPs) due to projected electric vehicle growth are, on average, less than those seen in annual changes of historic electricity prices in Wisconsin. We do find moderate, relative increases in congestion prices (+16–32%), which could provide an opportunity to align electric vehicle charging schedules with times of low transmission congestion.

scholarly journals PV-Powered Charging Station for Electric Vehicles: Power Management with Integrated V2G

2020 ◽  
Vol 10 (18) ◽  
pp. 6500
Author(s):  
Dian Wang ◽  
Manuela Sechilariu ◽  
Fabrice Locment
Keyword(s):  
Electric Vehicles ◽  
Energy Cost ◽  
Peak Power ◽  
Initial State ◽  
Start Time ◽  
Vehicle To Grid ◽  
The Public ◽  
Charging Station ◽  
The Impact ◽  
Ev Charging

The increase in the number of electric vehicles (EVs) has led to an increase in power demand from the public grid; hence, a photovoltaic based charging station for an electric vehicle (EV) can participate to solve some peak power problems. On the other hand, vehicle-to-grid technology is designed and applied to provide ancillary services to the grid during the peak periods, considering the duality of EV battery “load-source”. In this paper, a dynamic searching peak and valley algorithm, based on energy management, is proposed for an EV charging station to mitigate the impact on the public grid, while reducing the energy cost of the public grid. The proposed searching peak and valley algorithm can determine the optimal charging/discharging start time of EV in consideration of the initial state of charge, charging modes, arrival time, departure time, and the peak periods. Simulation results demonstrate the proposed searching peak and valley algorithm’s effectiveness, which can guarantee the balance of the public grid, whilst meanwhile satisfying the charging demand of EV users, and most importantly, reduce the public grid energy cost.

scholarly journals A Novel Charging and Discharging Algorithm of Plug-in Hybrid Electric Vehicles Considering Vehicle-to-Grid and Photovoltaic Generation

2019 ◽  
Vol 10 (4) ◽  
pp. 61
Author(s):  
Ahmed Aljanad ◽  
Azah Mohamed ◽  
Tamer Khatib ◽  
Afida Ayob ◽  
Hussain Shareef
Keyword(s):  
Electric Vehicles ◽  
Control Algorithm ◽  
Peak Load ◽  
Distribution Networks ◽  
Management Control ◽  
Photovoltaic Generation ◽  
Technical Problems ◽  
Vehicle To Grid ◽  
Fast Charging ◽  
The Impact

Considering, the high penetration of plug-in electric vehicles (PHEVs), the charging and discharging of PHEVs may lead to technical problems on electricity distribution networks. Therefore, the management of PHEV charging and discharging needs to be addressed to coordinate the time of PHEVs so as to be charged or discharged. This paper presents a management control method called the charging and discharging control algorithm (CDCA) to determine when and which of the PHEVs can be activated to consume power from the grid or supply power back to grid through the vehicle-to-grid technology. The proposed control algorithm considers fast charging scenario and photovoltaic generation during peak load to mitigate the impact of the vehicles. One of the important parameters considered in the CDCA is the PHEV battery state of charge (SOC). To predict the PHEV battery SOC, a particle swarm optimization-based artificial neural network is developed. Results show that the proposed CDCA gives better performance as compared to the uncoordinated charging method of vehicles in terms of maintaining the bus voltage profile during fast charging.

scholarly journals A Novel Methodology for Evaluating the Impact of Energy Efficiency Measures on the Cabin Thermal Comfort of Electric Vehicles

Energies ◽  
2020 ◽  
Vol 13 (15) ◽  
pp. 3872 ◽  
Author(s):  
Daniele Basciotti ◽  
Dominik Dvorak ◽  
Imre Gellai
Keyword(s):  
Steady State ◽  
Thermal Comfort ◽  
Control Systems ◽  
Electric Vehicles ◽  
Energy Savings ◽  
Experimental Investigations ◽  
Climate Control ◽  
Perfect Agreement ◽  
Horizon 2020 ◽  
The Impact

Climate control systems have a largely negative effect on the energy consumption of electric vehicles and consequently on their real driving range. Improving the efficiency of climate control systems requires advanced simulation tools for an accurate evaluation of both the energy savings and thermal comfort of innovative heating and cooling solutions. In this study, the advancements beyond the state of the art consists primarily of the methodology tackling the reduction of computational costs of intensive computational fluid dynamics (CFD) simulations and/or time-consuming experimental investigations and the simultaneous assessment of vehicle cabin thermal comfort and energy flows. The approach was validated against climatized chassis dyno measurements from the EU Horizon 2020 research project QUIET. Indeed, all the considered locations within the cabin were properly validated, both in steady state and transient conditions with the largest deviations at steady state below 3 °C. Additionally, the validation results show a perfect agreement for the average cabin predicted mean vote (PMV) value and a largest deviation in terms of the PMV for the other locations below 0.3. Furthermore, the applicability of the methodology is proved with the help of its application on a parametric study for which various cabin temperature setpoints and heating, ventilation and air conditioning (HVAC) modes were simulated in winter operation.

Charging and Discharging Control Strategy of Electric Vehicles Based on V2G Mode

2014 ◽  
Vol 953-954 ◽  
pp. 1413-1417
Author(s):  
Li Juan Tan ◽  
Cai Hong Zhao ◽  
Mai Zhang ◽  
Li Liu ◽  
Han Yi Li ◽  
...  
Keyword(s):  
Electric Vehicles ◽  
Control Strategy ◽  
Power Grid ◽  
Electricity Pricing ◽  
Maximum Charge ◽  
Power Limits ◽  
Grid Load ◽  
Original Grid ◽  
The Impact ◽  
The Mathematical Model

With the popularity of electric vehicles, the impact of charging power on the original grid load is increasingly prominent. Electric vehicles can realize the benign interaction with power grid through the V2G technology. The mathematical model is solved with genetic algorithm in this paper based on the objective function as the minimization of daily charging cost. Constraint conditions such as maximum charge and discharge power limits and state of charge are considered. By analyzing the charge and discharge control of single car and the influence of electric vehicles’ charge and discharge on power grid, it is concluded that charge and discharge control strategy proposed in this paper can optimize the operation of the power grid and realize win-win situation of the user and the power grid with the time-of-use electricity pricing mechanism.

scholarly journals Critical Analysis of the Application of Fuzzy Logic in Renewable Energy Systems

TEM Journal ◽  
2021 ◽  
pp. 1610-1615
Author(s):  
Mohammed Y. Ghadi ◽  
Fadi Sakka ◽  
Ahmed Al Nakeeb ◽  
Tamara al Shloul
Keyword(s):  
Renewable Energy ◽  
Electric Vehicles ◽  
Fuzzy Controller ◽  
Storage System ◽  
Energy Storage System ◽  
Vital Role ◽  
Power Requirement ◽  
Power Generators ◽  
Vehicle To Grid ◽  
Electrical Grid

This study describes the effectiveness of applying Fuzzy controller into the renewable energy storage system for better efficiency. Different small size power generators need to be initially started up in order to fulfil the demand of power at the rush hours. V2G (Vehicle to grid) technology is an interface of bidirectional electrical grid which allows electric vehicles to take energy from the mesh. The calculation for the power requirement of the battery is initiated for identifying the charging load. When it comes to power management for the electric vehicles (EVs), information technology plays a vital role for the V2G framework. The delivery of power request to the aggregate of EVs through the aggregator is done with the help of sending a signal from the RTO/ISO. The load is generated with the help of huge as well as continuously running units of power generation and gradable EVs. In V2G optimization, lowering the overall operational cost may be achieved by using wind power as well as using the grid.

scholarly journals Cloud-Based Big Data Platform for Vehicle-to-Grid (V2G)

2020 ◽  
Vol 11 (2) ◽  
pp. 30
Author(s):  
Florent Grée ◽  
Vitaliia Laznikova ◽  
Bill Kim ◽  
Guillermo Garcia ◽  
Tom Kigezi ◽  
...  
Keyword(s):  
Big Data ◽  
Electric Vehicles ◽  
Performance Data ◽  
Vehicle To Grid ◽  
Battery Electric Vehicles ◽  
The Past ◽  
Cost Of Ownership ◽  
Data Platform ◽  
Battery Degradation ◽  
Grid Load

Battery Electric Vehicles (BEVs) have increasingly become prevalent over the past years. BEVs can be regarded as a grid load and as a way to support the grid (energy buffering), provided this extensive battery usage does not affect the BEV’s performance. Data from both the vehicle and the grid are required for effective Vehicle-to-Grid (V2G) implementation. As such, a cloud-based big data platform is proposed in this paper to exploit these data. Additionally, this study aims to develop smart algorithms, which optimise different factors, including BEV cost of ownership and battery degradation. Dashboards are developed to provide key information to different V2G stakeholders.

scholarly journals Electric Vehicles’ User Charging Behaviour Simulator for a Smart City

Energies ◽  
2019 ◽  
Vol 12 (8) ◽  
pp. 1470 ◽  
Author(s):  
Bruno Canizes ◽  
João Soares ◽  
Angelo Costa ◽  
Tiago Pinto ◽  
Fernando Lezama ◽  
...  
Keyword(s):  
Electric Vehicles ◽  
Distributed Storage ◽  
Full Potential ◽  
Electricity Prices ◽  
Locational Marginal Pricing ◽  
Power And Energy Systems ◽  
Power And Energy ◽  
And Behavior ◽  
Renewable Energy Generation ◽  
The Impact

The increase of variable renewable energy generation has brought several new challenges to power and energy systems. Solutions based on storage systems and consumption flexibility are being proposed to balance the variability from generation sources that depend directly on environmental conditions. The widespread use of electric vehicles is seen as a resource that includes both distributed storage capabilities and the potential for consumption (charging) flexibility. However, to take advantage of the full potential of electric vehicles’ flexibility, it is essential that proper incentives are provided and that the management is performed with the variation of generation. This paper presents a research study on the impact of the variation of the electricity prices on the behavior of electric vehicle’s users. This study compared the benefits when using the variable and fixed charging prices. The variable prices are determined based on the calculation of distribution locational marginal pricing, which are recalculated and adapted continuously accordingly to the users’ trips and behavior. A travel simulation tool was developed for simulating real environments taking into account the behavior of real users. Results show that variable-rate of electricity prices demonstrate to be more advantageous to the users, enabling them to reduce charging costs while contributing to the required flexibility for the system.

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