Energy Trading Among Electric Vehicles Based on Stackelberg Approaches: A Review

2021 ◽  
pp. 103199
Author(s):  
Muhammad Adil ◽  
M. A. Parvez Mahmud ◽  
Abbas Kouzani ◽  
SuiYang Khoo
Author(s):  
Pronaya Bhattacharya ◽  
Sudeep Tanwar ◽  
Umesh Bodkhe ◽  
Ashwani Kumar ◽  
Neeraj Kumar

2018 ◽  
Vol 8 (10) ◽  
pp. 1749 ◽  
Author(s):  
Mohamed Ahmed ◽  
Young-Chon Kim

Energy trading with electric vehicles provides opportunities to eliminate the high peak demand for electric vehicle charging while providing cost saving and profits for all participants. This work aims to design a framework for local energy trading with electric vehicles in smart parking lots where electric vehicles are able to exchange energy through buying and selling prices. The proposed architecture consists of four layers: the parking energy layer, data acquisition layer, communication network layer, and market layer. Electric vehicles are classified into three different types: seller electric vehicles (SEVs) with an excess of energy in the battery, buyer electric vehicles (BEVs) with lack of energy in the battery, and idle electric vehicles (IEVs). The parking lot control center (PLCC) plays a major role in collecting all available offer/demand information among parked electric vehicles. We propose a market mechanism based on the Knapsack Algorithm (KPA) to maximize the PLCC profit. Two cases are considered: electric vehicles as energy sellers and the PLCC as an energy buyer, and electric vehicles as energy buyers and the PLCC as an energy seller. A realistic parking pattern of a parking lot on a university campus is considered as a case study. Different scenarios are investigated with respect to the number of electric vehicles and amount of energy trading. The proposed market mechanism outperforms the conventional scheme in view of costs and profits.


2021 ◽  
Author(s):  
Nasser Al-Saif ◽  
Raja Wasim Ahmad ◽  
Khaled Salah ◽  
Ibrar Yaqoob ◽  
Raja Jayaraman ◽  
...  

Today's technologies, techniques, and systems leveraged for managing energy trading operations in electric vehicles fall short in providing operational transparency, immutability, fault tolerance, traceability, and trusted data provenance features. They are centralized and vulnerable to the single point of failure problem, and less trustworthy as they are prone to the data modifications and deletion by adversaries. In this paper, we present the potential advantages of blockchain technology to manage energy trading operations between electric vehicles as it can offer data traceability, immutability, transparency, audit, security, and confidentiality in a fully decentralized manner. We identify and discuss the essential requirements for the successful implementation of blockchain technology to secure energy trading operations among electric vehicles. We present a detailed discussion on the potential opportunities offered by blockchain technology to secure the energy trading operations of electric vehicles. We discuss several blockchain-based research projects and case studies to highlight the practicability of blockchain technology in electric vehicles energy trading. Finally, we identify and discuss open challenges in fulfilling the requirements of electric vehicles energy trading applications.


2019 ◽  
Vol 127 ◽  
pp. 169-183 ◽  
Author(s):  
Gagangeet Singh Aujla ◽  
Neeraj Kumar ◽  
Mukesh Singh ◽  
Albert Y. Zomaya

2019 ◽  
Vol 2 (3) ◽  
pp. 371-380 ◽  
Author(s):  
Rubi Rana ◽  
Shayari Bhattacharjee ◽  
Sukumar Mishra

Author(s):  
Nahom Abishu Hayla ◽  
Mohammed Seid Abegaz ◽  
Habtamu Yacob Yasin ◽  
Tewodros Alemu Ayall ◽  
Guolin Sun ◽  
...  

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