scholarly journals Optimal Day-Time Charging Strategies for Electric Vehicles considering Photovoltaic Power System and Distribution Grid Constraints

2015 ◽  
Vol 2015 ◽  
pp. 1-9 ◽  
Author(s):  
Weige Zhang ◽  
Wenjie Ge ◽  
Mei Huang ◽  
Jiuchun Jiang
Keyword(s):  
Electric Vehicles ◽  
Optimization Method ◽  
Programming Algorithm ◽  
Distribution Grid ◽  
Pv System ◽  
Load Curve ◽  
Electricity Cost ◽  
Photovoltaic Power ◽  
Coordinated Charging ◽  
Charging Stations

Electric vehicles (EVs) charging stations with a photovoltaic (PV) system for day-time charging have been studied. This paper investigates the issues such as how to coordinate the EVs customers for coordinated charging, maximize photovoltaic utilization, and reduce customers cost of EVs charging and operator electricity. Firstly, an ideal charging load curve was built through using the linear programming algorithm. This optimal curve, which realized maximum photovoltaic power and minimum electricity cost, was used as the objective curve. Secondly, a customer response model was utilized, to propose an optimization method and strategy for charging service tariffs. Particle swarm optimization algorithm was used for time-of-use tariffs and peak-flat-valley time division so that the charging load after price regulation was adjusted to best fit the objective curve, and both the EVs customers and the operator benefit from this. Finally, the proposed model and method have been verified by two cases.

scholarly journals Design and Sizing of Mobile Solar Photovoltaic Power Plant to Support Rapid Charging for Electric Vehicles

Energies ◽  
2019 ◽  
Vol 12 (18) ◽  
pp. 3579 ◽  
Author(s):  
Kameswara Satya Prakash Oruganti ◽  
Chockalingam Aravind Vaithilingam ◽  
Gowthamraj Rajendran ◽  
Ramasamy A
Keyword(s):  
Power Plant ◽  
Solar Energy ◽  
Electric Vehicles ◽  
Renewable Energy Sources ◽  
Solar Photovoltaic ◽  
Distribution Grid ◽  
Plug And Play ◽  
Photovoltaic Power ◽  
Fast Charging ◽  
Charging Stations

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 s.

scholarly journals Energy Management System Optimization of Drug Store Electric Vehicles Charging Station Operation

2021 ◽  
Vol 13 (11) ◽  
pp. 6163
Author(s):  
Yongyi Huang ◽  
Atsushi Yona ◽  
Hiroshi Takahashi ◽  
Ashraf Mohamed Hemeida ◽  
Paras Mandal ◽  
...  
Keyword(s):  
Power Generation ◽  
Electric Vehicle ◽  
Electric Vehicles ◽  
System Optimization ◽  
Mixed Integer ◽  
Charging Station ◽  
Electric Vehicle Charging ◽  
Photovoltaic Power ◽  
Vehicle Charging ◽  
Charging Stations

Electric vehicle charging station have become an urgent need in many communities around the world, due to the increase of using electric vehicles over conventional vehicles. In addition, establishment of charging stations, and the grid impact of household photovoltaic power generation would reduce the feed-in tariff. These two factors are considered to propose setting up charging stations at convenience stores, which would enable the electric energy to be shared between locations. Charging stations could collect excess photovoltaic energy from homes and market it to electric vehicles. This article examines vehicle travel time, basic household energy demand, and the electricity consumption status of Okinawa city as a whole to model the operation of an electric vehicle charging station for a year. The entire program is optimized using MATLAB mixed integer linear programming (MILP) toolbox. The findings demonstrate that a profit could be achieved under the principle of ensuring the charging station’s stable service. Household photovoltaic power generation and electric vehicles are highly dependent on energy sharing between regions. The convenience store charging station service strategy suggested gives a solution to the future issues.

scholarly journals The Electric Vehicle Time-of-Use Price Optimization Model Considering the Demand Response

2018 ◽  
Vol 160 ◽  
pp. 02009
Author(s):  
Zejing Shi ◽  
Ninghui Zhu ◽  
Jinsong Yu
Keyword(s):  
Electric Vehicles ◽  
Optimization Model ◽  
Prediction Models ◽  
Distribution Grid ◽  
Power Prediction ◽  
Peak Shaving ◽  
Satisfaction Index ◽  
The Monte Carlo Method ◽  
Load Peak ◽  
Coordinated Charging

A large number of electric vehicles connecting to the distribution grids usually introduce significant fluctuations to the grid and the loads. To solve the problem, guiding the users coordinated charging is proposed. Firstly, the uncontrolled charging power prediction models of electric vehicles are established, and the Monte Carlo method is adopted to simulate the power demands of different electric vehicles, and the influences on the load peak-valley ratios and the voltages and losses of the grid are all analyzed. Then the vehicle responses model considering the time-of-use price is analyzed, and the vehicle response ratios are obtained under different time-of-use prices. Finally the multi-objective optimization model is constructed including the minimum peak-valley ratio, maximum consumption satisfaction index and cost satisfaction index. In the procedure, vehicles and the grid are both taken into account. The results indicate the proposed method could guide the users coordinated charging, and the peak shaving and valley filling is also achieved, and the operation of the distribution grid is improved.

Electric Vehicle Charging Station Load Forecasting and Impact of the Load Curve

2012 ◽  
Vol 229-231 ◽  
pp. 853-858 ◽  
Author(s):  
Jian Wang ◽  
Kui Hua Wu ◽  
Feng Wang ◽  
Zhi Hui Li ◽  
Qing Song Niu ◽  
...  
Keyword(s):  
Power Grid ◽  
Paper Briefly ◽  
Load Curve ◽  
Charging Station ◽  
Electric Vehicle Charging ◽  
Charging Mode ◽  
Resistive Model ◽  
Coordinated Charging ◽  
Charging Stations ◽  
Daily Load

With the popularity of electric vehicles, a large number of charging stations connected to the grid, will bring about tremendous influence on the power, voltage and current of grid. This paper briefly introduces several common types of charging mode, and analyzes the characteristics of them. According to statistics, a resistive model of charging stations, simulating the regional power grid with a IEEE34 node model, has been established to forecast the daily load curve, using Monte Carlo simulation. An analysis is performed for a power grid to demonstrate the impacts of the daily load curve considering different power of charging stations, which are under coordinated charging conditions, to indicate the harm of uncoordinated charging and put forward solutions.

Long-Term Development Scale and Charging Load Forecasting of Electric Vehicle

2013 ◽  
Vol 448-453 ◽  
pp. 3194-3200
Author(s):  
Zi Long Cai ◽  
Hong Chun Shu
Keyword(s):  
Electric Vehicle ◽  
Electric Vehicles ◽  
Future Development ◽  
Load Forecasting ◽  
Distribution Grid ◽  
Electric Vehicle Charging ◽  
New Energy ◽  
Big City ◽  
New Energy Vehicle ◽  
Charging Stations

Because of the energy crisis and environment deterioration, there is a general consensus about the development of new energy vehicle especially electric vehicle in the world. The development of electric vehicles has brought new challenges to the distribution network. The charging strategy, the location planning of electric vehicle charging stations and sizing, the coordination planning between electric vehicle and the distribution grid depends on the future development scale electric vehicles and charging load forecasting. Because there is a certain distance from commercial operation in china, the prediction theory and method of the electric vehicle development scale and charging load are not mature. By using the method of artificial neural network to establish the development scale and charging load forecasting model of electric vehicle. The model is proved its correctness through an example of the electric vehicle scale and charging load forecasting of Kunming, a big city in West China. The paper provides a new way for future development scale and charging load forecasting to electric vehicle of China.

Smoothing the Metropolis Electric Power Consumption Daily Schedule with Mass Use of Electric Vehicles

2014 ◽  
Vol 953-954 ◽  
pp. 1402-1405
Author(s):  
Alexander Tavlintsev ◽  
Maria Shorikova ◽  
Sergey Yuferev
Keyword(s):  
Power Consumption ◽  
Power Systems ◽  
Electric Power ◽  
Electric Vehicles ◽  
Distribution Networks ◽  
Electric Power Consumption ◽  
Load Curve ◽  
Electric Power Supply ◽  
Daily Schedule ◽  
Charging Stations

In connection with the increasing fuel costs and decreasing incomes during the crisis electric vehicles are becoming more and more popular with drivers. With mass growth of using the electrical vehicles a possibility of transmission congestion can take place. While charging the vehicle by means of residential distribution there is a risk of facing electric power supply degradation and local accident conditions in grids. One of the basic current problems is that of the load curve irregularity, i.e. the existence of the peak hours and minimums in demand of the electric power. In its turn the load curve irregularity can cause unacceptable frequency oscillations in power systems. The development of charging station systems will lead to the increasing of the morning and evening demand of the electric power. It requires key investments in generators designing and improving the distribution networks, which in its turn will cause limitations in the number of charging stations and the electric vehicles expansion. Cost differentiation depending upon charging duration time can become an incentive to use charging stations during the periods of the minimum electric power consumption. A possibility of the electric vehicles usage as a means of smoothing the electric power consumption daily schedule is shown in the article. The evaluation of rationality of the electric vehicles integration as a power component in the network was made as well.

Sign in / Sign up

Export Citation Format

Share Document