scholarly journals A Novel Power Market Mechanism Based on Blockchain for Electric Vehicle Charging Stations

Electronics ◽  
2021 ◽  
Vol 10 (3) ◽  
pp. 307
Author(s):  
Zhaoxiong Huang ◽  
Zhenhao Li ◽  
Chun Sing Lai ◽  
Zhuoli Zhao ◽  
Xiaomei Wu ◽  
...  

This work presents a novel blockchain-based energy trading mechanism for electric vehicles consisting of day-ahead and real-time markets. In the day-ahead market, electric vehicle users submit their bidding price to participate in the double auction mechanism. Subsequently, the smart match mechanism will be conducted by the charging system operator, to meet both personal interests and social benefits. After clearing the trading result, the charging system operator uploads the trading contract made in the day-ahead market to the blockchain. In the real-time market, the charging system operator checks the trading status and submits the updated trading results to the blockchain. This mechanism encourages participants in the double auction to pursue higher interests, in addition to rationally utilize the energy unmatched in the auction and to achieve the improvement of social welfare. Case studies are used to demonstrate the effectiveness of the proposed model. For buyers and sellers who successfully participate in the day-ahead market, the total profit increase for buyer and seller are 22.79% and 53.54%, respectively, as compared to without energy trading. With consideration of social welfare in the smart match mechanism, the peak load reduces from 182 to 146.5 kW, which is a 19.5% improvement.

2014 ◽  
Vol 1070-1072 ◽  
pp. 1625-1631
Author(s):  
Tao Yan ◽  
Zhan Zhan Qu ◽  
Peng Fei Jia ◽  
Dong Hui ◽  
Yun Jia Liu

Through constructing the battery system of electric vehicle, real-time simulation model of V2G charging converter topology, and combined with material object of hardware and software of V2G charger controller, establishing semi-physical simulation platform for V2G electric vehicle charging system based on RT-LAB real-time systems, which making use of real-time simulation platform to research the control mechanism of charger controller. The experimental results show that: the constructed semi-physical simulation platform is running well, its simulation results of charging and discharging process is relatively consistent with the actual output of V2G charging equipment, it can be used to verify the developed adjustment mechanism of V2G charger and the charging and discharging process of a variety of electric vehicle battery system, provides an ideal semi-physical simulation platform for the verification of the control strategy of electric vehicle V2G charger.


2011 ◽  
Vol 128-129 ◽  
pp. 1093-1096
Author(s):  
Xiang Fu ◽  
Jia Yao

Firstly, this paper proposed that charging network for Electric Vehicle (EV) should be consisted of the special motorcade charging system and general charging system mainly, and the emergency charging system auxiliary. This paper put forward the suggestions that EV charging network construction should carry on with EV development synchronization, give full play to advantages of dispersion charging, charging avoiding peak load and charge in valley load, instead of laying a large-scale charge-station network. Secondly, this paper discussed the construction and the management of charging network, focused on the network planning, charging standards, and the role of power enterprises. Finally, the pattern of charging operation and the management is chosen, three kinds of patterns are proposed to different periods and users, the centralism charging management pattern, the dispersion charging and centralism maintenance pattern, as well as the battery renting pattern.


2021 ◽  
Vol 292 ◽  
pp. 126066
Author(s):  
Ridoy Das ◽  
Yue Wang ◽  
Krishna Busawon ◽  
Ghanim Putrus ◽  
Myriam Neaimeh

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 ◽  
Vol 86 (5-2) ◽  
Author(s):  
Jasur Safarov ◽  
Muhammad Khudoyberdiyev ◽  
Bakhrom Tuychiboev

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