Plug-in Electric Vehicle Load Modeling for Smart Charging Strategies in Microgrids

Author(s):  
Iven Guzel ◽  
Murat Gol
2020 ◽  
Vol 56 (5) ◽  
pp. 5796-5810 ◽  
Author(s):  
Bo Wang ◽  
Dongbo Zhao ◽  
Payman Dehghanian ◽  
Yuting Tian ◽  
Tianqi Hong

2020 ◽  
Author(s):  
Akshada Jadhav ◽  
Ganesh Ghorpade ◽  
Nayan Kanthikar ◽  
Nitesh Anwat

Author(s):  
Yue Wang ◽  
David Infield ◽  
Simon Gill

This paper assumes a smart grid framework where the driving patterns for electric vehicles are known, time variations in electricity prices are communicated to householders, and data on voltage variation throughout the distribution system are available. Based on this information, an aggregator with access to this data can be employed to minimise electric vehicles charging costs to the owner whilst maintaining acceptable distribution system voltages. In this study, electric vehicle charging is assumed to take place only in the home. A single-phase Low Voltage (LV) distribution network is investigated where the local electric vehicles penetration level is assumed to be 100%. Electric vehicle use patterns have been extracted from the UK Time of Use Survey data with a 10-min resolution and the domestic base load is generated from an existing public domain model. Apart from the so-called real time price signal, which is derived from the electricity system wholesale price, the cost of battery degradation is also considered in the optimal scheduling of electric vehicles charging. A simple and effective heuristic method is proposed to minimise the electric vehicles’ charging cost whilst satisfying the requirement of state of charge for the electric vehicles’ battery. A simulation in OpenDSS over a period of 24 h has been implemented, taking care of the network constraints for voltage level at the customer connection points. The optimisation results are compared with those obtained using dynamic optimal power flow.


2021 ◽  
Vol 675 (1) ◽  
pp. 012163
Author(s):  
Xuliang Zhao ◽  
Jiguang Xue ◽  
Tong Wu ◽  
Hong Xue ◽  
Sitong Dong ◽  
...  

Energies ◽  
2018 ◽  
Vol 11 (11) ◽  
pp. 3188 ◽  
Author(s):  
Jean-Michel Clairand ◽  
Javier Rodríguez-García ◽  
Carlos Álvarez-Bel

Inhabited islands depend primarily on fossil fuels for electricity generation and they also present frequently a vehicle fleet, which result in a significant environmental problem. To address this, several governments are investing in the integration of Renewable Energy Sources (RESs) and Electric Vehicles (EVs), but the combined integration of them creates challenges to the operation of these isolated grid systems. Thus, the aim of this paper is to propose an Electric Vehicle charging strategy considering high penetration of RES. The methodology proposes taxing CO2 emissions based on high pricing when the electricity is mostly generated by fossil fuels, and low pricing when there is a RES power excess. The Smart charging methodology for EV optimizes the total costs. Nine scenarios with different installed capacity of solar and wind power generation are evaluated and compared to cases of uncoordinated charging. The methodology was simulated in the Galapagos Islands, which is an archipelago of Ecuador, and recognized by the United Nations Educational, Scientific and Cultural Organization (UNESCO) as both aWorld Heritage site and a biosphere reserve. Simulations results demonstrate that the EV aggregator could reduce costs: 7.9% for a case of 5 MW installed capacity (wind and PV each), and 7% for a case of 10 MW installed (wind and PV each). Moreover, the use of excess of RES power for EV charging will considerably reduce CO2 emissions


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