An Interactive Model for the Participation of Electric Vehicles in the Competitive Electricity Market

Author(s):  
Mohammad Reza Fallahzadeh ◽  
Ali Zangeneh
2021 ◽  
Vol 201 ◽  
pp. 107513
Author(s):  
Xian Wang ◽  
Huajun Zhang ◽  
Shaohua Zhang ◽  
Lei Wu

2021 ◽  
Vol 1 (1) ◽  
pp. 78-88
Author(s):  
Xiaoying Tang ◽  
Chenxi Sun ◽  
Suzhi Bi ◽  
Shuoyao Wang ◽  
Angela Yingjun Zhang

The rapid growth of electric vehicles (EVs) has promised a next-generation transportation system with reduced carbon emission. The fast development of EVs and charging facilities is driving the evolution of Internet of Vehicles (IoV) to Internet of Electric Vehicles (IoEV). IoEV benefits from both smart grid and Internet of Things (IoT) technologies which provide advanced bi-directional charging services and real-time data processing capability, respectively. The major design challenges of the IoEV charging control lie in the randomness of charging events and the mobility of EVs. In this article, we present a holistic review on advanced bi-directional EV charging control algorithms. For Grid-to-Vehicle (G2V), we introduce the charging control problem in two scenarios: 1) Operation of a single charging station and 2) Operation of multiple charging stations in coupled transportation and power networks. For Vehicle-to-Grid (V2G), we discuss how EVs can perform energy trading in the electricity market and provide ancillary services to the power grid. Besides, a case study is provided to illustrate the economic benefit of the joint optimization of routing and charging scheduling of multiple EVs in the IoEV. Last but not the least, we will highlight some open problems and future research directions of charging scheduling problems for IoEVs.


Energies ◽  
2020 ◽  
Vol 13 (22) ◽  
pp. 5858
Author(s):  
Carlo Corinaldesi ◽  
Georg Lettner ◽  
Daniel Schwabeneder ◽  
Amela Ajanovic ◽  
Hans Auer

Electric vehicles represent a necessary alternative for wheeled transportation to meet the global and national targets specified in the Paris Agreement of 2016. However, the high concentration of electric vehicles exposes their harmful effects on the power grid. This reflects negatively on electricity market prices, making the charging of electric vehicles less cost-effective. This study investigates the economic potential of different charging strategies for an existing office site in Austria with multiple charging infrastructures. For this purpose, a proper mathematical representation of the investigated case study is needed in order to define multiple optimization problems that are able to determine the financial potential of different charging strategies. This paper presents a method to implement electric vehicles and stationary battery storage in optimization problems with the exclusive use of linear relationships and applies it to a real-life use case with measured data to prove its effectiveness. Multiple aspects of four charging strategies are investigated, and sensitivity analyses are performed. The results show that the management of the electric vehicles charging processes leads to overall costs reduction of more than 30% and an increase in specific power-related grid prices makes the charging processes management more convenient.


2019 ◽  
Author(s):  
L.A. Vega de la Mora ◽  
◽  
C. Angeles-Camacho ◽  
A. Y. Melchor Quinto

Changes in the Mexican electricity market is accompanied by large challenges in the country's economic sector. In the first instance, the need to create a financial market where agents participate of said sector, establishing financing mechanisms and clear rules of action, as well as institutions that safeguard the realization and compliance of operations between them. As in traditional financial markets, market participants will seek to maximize their returns, trying to limit the risks to which they are exposed, related to their operation itself and with the inherent characteristics of the good traded, electricity. The generation of electricity with renewable sources, the correct operation of the electricity market and greater use of electric vehicles, will achieve in Mexico a successful energy transition, where less hydrocarbons are used pollutants to use more clean energy, inheriting future generations a better world.


Energies ◽  
2018 ◽  
Vol 11 (8) ◽  
pp. 1943 ◽  
Author(s):  
Ahmad Karnama ◽  
João Peças Lopes ◽  
Mauro Augusto da Rosa

Electric Vehicles (EVs) are increasing the interdependence of transportation policies and the electricity market dimension. In this paper, an Electricity Market Model with Electric Vehicles (EMMEV) was developed, exploiting an agent-based model that analyzes how carbon reduction policy in transportation may increase the number of Electric Vehicles and how that would influence electricity price. Agents are Energy Service Providers (ESCOs) which can distribute fuels and their objective is to maximize their profit. In this paper, the EMMEV is used to analyze the impacts of the Low-Carbon Fuel Standard (LCFS), a performance-based policy instrument, on electricity prices and EV sales volume. The agents in EMMEV are regulated parties in LCFS should meet a certain Carbon Intensity (CI) target for their distributed fuel. In case they cannot meet the target, they should buy credits to compensate for their shortfall and if they exceed it, they can sell their excess. The results, considering the assumptions and limitations of the model, show that the banking strategy of the agents contributing in the LCFS might have negative impact on penetration of EVs, unless there is a regular Credit Clearance to trade credits. It is also shown that the electricity price, as a result of implementing the LCFS and increasing number of EVs, has increased between 2% and 3% depending on banking strategy.


2015 ◽  
Vol 40 (6) ◽  
pp. 1607-1621 ◽  
Author(s):  
N. Zareen ◽  
M. W. Mustafa ◽  
Saleh Y. I. AbuJarad ◽  
M. Moradi

Energies ◽  
2018 ◽  
Vol 11 (6) ◽  
pp. 1416 ◽  
Author(s):  
Ilham Naharudinsyah ◽  
Steffen Limmer

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