Multi-party energy management for EV charging station cooperated with PV systems in smart grid

2015 ◽  
Author(s):  
Fuqiang Zou ◽  
Nian Liu ◽  
Qifang Chen
Keyword(s):  
Smart Grid ◽  
Energy Management ◽  
Charging Station ◽  
Pv Systems ◽  
Ev Charging

scholarly journals Optimum Resilient Operation and Control DC Microgrid Based Electric Vehicles Charging Station Powered by Renewable Energy Sources

Energies ◽  
2019 ◽  
Vol 12 (22) ◽  
pp. 4240 ◽  
Author(s):  
Khairy Sayed ◽  
Ahmed G. Abo-Khalil ◽  
Ali S. Alghamdi
Keyword(s):  
Renewable Energy ◽  
Energy Management ◽  
Electric Vehicles ◽  
Renewable Energy Sources ◽  
Energy Sources ◽  
Solar Pv ◽  
Dc Microgrid ◽  
Charging Station ◽  
And Control ◽  
Ev Charging

This paper introduces an energy management and control method for DC microgrid supplying electric vehicles (EV) charging station. An Energy Management System (EMS) is developed to manage and control power flow from renewable energy sources to EVs through DC microgrid. An integrated approach for controlling DC microgrid based charging station powered by intermittent renewable energies. A wind turbine (WT) and solar photovoltaic (PV) arrays are integrated into the studied DC microgrid to replace energy from fossil fuel and decrease pollution from carbon emissions. Due to the intermittency of solar and wind generation, the output powers of PV and WT are not guaranteed. For this reason, the capacities of WT, solar PV panels, and the battery system are considered decision parameters to be optimized. The optimized design of the renewable energy system is done to ensure sufficient electricity supply to the EV charging station. Moreover, various renewable energy technologies for supplying EV charging stations to improve their performance are investigated. To evaluate the performance of the used control strategies, simulation is carried out in MATLAB/SIMULINK.

scholarly journals Energy savings approach to optimal location of EV charging stations in microgrids

2021 ◽  
Vol 19 ◽  
pp. 33-38
Author(s):  
Vishnu Suresh ◽  
◽  
Przemyslaw Janik ◽  
Dominika Kaczorowska
Keyword(s):  
Energy Management ◽  
Interior Point Method ◽  
Energy Savings ◽  
Renewable Energy Sources ◽  
Optimal Location ◽  
Energy Management System ◽  
Charging Station ◽  
The One ◽  
Charging Stations ◽  
Ev Charging

This paper presents an analytical approach to finding an optimal location for an EV charging station based on energy savings in a local microgrid. The analysis is carried out on days obtained by clustering yearly load data and by running an energy management system that runs on MATLAB interior point method. The microgrid is composed of both renewable and non-renewable energy sources. The charging station is equipped with a controlled charging feature and this study considers 2 EV charging strategies out of which the one benefitting the power system is adopted.

scholarly journals Tertiary Control for Energy Management of EV Charging Station Integrated With PV and Energy Storage

2022 ◽  
Vol 9 ◽  
Author(s):  
Yangqing Dan ◽  
Shuran Liu ◽  
Yanwei Zhu ◽  
Hailian Xie
Keyword(s):  
Sensitivity Analysis ◽  
Energy Storage ◽  
Energy Management ◽  
Prediction Error ◽  
Dynamic State ◽  
Operational Cost ◽  
Control Logic ◽  
Charging Station ◽  
Battery Capacity ◽  
Ev Charging

Along with the rapid increase in the number of electric vehicles, more and more EV charging stations tend to have charging infrastructure, rooftop photovoltaic and energy storage all together for energy saving and emission reduction. Compared with individual design for each of the components in such kind of systems, an integrated design can result in higher efficiency, increased reliability, and lower total capital cost. This paper mainly focuses on the tertiary control strategy for dynamic state operation, such as PV generation fluctuation and random arrival/leave of EVs. The tertiary control aims to achieve stable operation under dynamic states, as well as to optimize the energy flow in the station to realize maximal operational benefits with constraints such as peak/valley price of electricity, state of discharge limitation of battery, etc. In this paper, four energy management functions in tertiary control level are proposed, and their performance is verified by simulations. By using prediction of PV power and EV load in the following 72 h, a novel tertiary control logic is proposed to optimize PVC and ESC power flow by changing their droop characteristics, so that minimum operational cost for the station can be achieved. Furthermore, a sensitivity analysis is conducted for three parameters, including ES battery capacity, weather influence, and PV and EV load prediction error. The results from sensitivity analysis indicate that ES battery capacity and weather condition lead to a great impact on the operational cost of the integrated charging station, while a typical prediction error of PV power and EV load will not influence the optimization result significantly.

scholarly journals Electric Vehicles Charging Stations’ Architectures, Criteria, Power Converters, and Control Strategies in Microgrids

Electronics ◽  
2021 ◽  
Vol 10 (16) ◽  
pp. 1895
Author(s):  
Dominic Savio Abraham ◽  
Rajesh Verma ◽  
Lakshmikhandan Kanagaraj ◽  
Sundar Rajan Giri Thulasi Raman ◽  
Narayanamoorthi Rajamanickam ◽  
...  
Keyword(s):  
Energy Management ◽  
Electric Vehicles ◽  
Control Strategies ◽  
Energy Management Strategy ◽  
Charging Station ◽  
Converter Topologies ◽  
Utility Grid ◽  
Charging Stations ◽  
And Control ◽  
Ev Charging

The usage of electric vehicles (EV) has been increasing over the last few years due to a rise in fossil fuel prices and the rate of increasing carbon dioxide (CO2) emissions. EV-charging stations are powered by existing utility power grid systems, increasing the stress on the utility grid and the load demand at the distribution side. DC grid-based EV charging is more efficient than AC distribution because of its higher reliability, power conversion efficiency, simple interfacing with renewable energy sources (RESs), and integration of energy storage units (ESU). RES-generated power storage in local ESU is an alternative solution for managing the utility grid demand. In addition, to maintain the EV charging demand at the microgrid levels, energy management and control strategies must carefully power the EV battery charging unit. In addition, charging stations require dedicated converter topologies, control strategies, and need to follow set levels and standards. Based on EV, ESU, and RES accessibility, different types of microgrid architecture and control strategies are used to ensure optimum operation at the EV-charging point. Based on the above said merits, this review paper presents different RES-connected architecture and control strategies used in EV-charging stations. It highlights the importance of different charging station architectures with current power converter topologies proposed in the literature. In addition, a comparison of microgrid-based charging station architecture with its energy management, control strategies, and charging converter controls are also presented. The different levels and types of charging stations used for EV charging, in addition to controls and connectors used, are also discussed. An experiment-based energy management strategy was developed to control power flow among the available sources and charging terminals for the effective utilization of generated renewable power. The main motive of the EMS and its control is to maximize the usage of RES consumption. This review also provides the challenges and opportunities in EV-charging, and parameters in selecting appropriate charging stations.

scholarly journals Integrated human-machine intelligence for EV charging prediction in 5G smart grid

2020 ◽  
Vol 2020 (1) ◽  
Author(s):  
Dedong Sun ◽  
Qinghai Ou ◽  
Xianjiong Yao ◽  
Songji Gao ◽  
Zhiqiang Wang ◽  
...  
Keyword(s):  
Smart Grid ◽  
Machine Intelligence ◽  
Ev Charging
Sign in / Sign up

Export Citation Format

Share Document