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Issue title: Digital transformation through advances in artificial intelligence and machine learning
Guest editors: Hasmat Malik, Gopal Chaudhary and Smriti Srivastava
Article type: Research Article
Authors: Meghana, Pulimamidia | Yammani, Chandrasekhara | Salkuti, Surender Reddyb; *
Affiliations: [a] Department of Electrical Engineering, National Institute of Technology Warangal, Telangana, India | [b] Department of Railroad and Electrical Engineering, Woosong University, Daejeon, Republic of Korea
Correspondence: [*] Corresponding author. Surender Reddy Salkuti, Department of Railroad and Electrical Engineering, Woosong University, Daejeon, Republic of Korea. E-mail: surender@wsu.ac.kr.
Abstract: This paper proposes an energy scheduling mechanism among multiple microgrids (MGs) and also within the individual MGs. In this paper, electric vehicle (EV) energy scheduling is also considered and is integrated in the operation of the microgrid (MG). With the advancements in the battery technologies of EVs, the significance of Vehicle-to-Grid (V2G) is increasing tremendously. So, designing the strategies for energy management of electric vehicles (EVs) is of paramount importance. The battery degradation cost of an EV is also taken into account. Vickrey second price auction is used for truthful bidding. To enhance the security and trust, blockchain technology can be incorporated. The market is shifted to decentralized state by using blockchain. To encourage the MGs to generate more, contribution index is allotted to each prosumer of a MG and to the MGs as a whole, depending on which priority is given during auction. The system was simulated using IEEE 118 bus feeder which consists of 5 MGs, which in turn contain EVs and prosumers.
Keywords: Blockchain technologies, distributed generators, electric vehicles, green energy, microgrid, vehicle-to-grid
DOI: 10.3233/JIFS-189766
Journal: Journal of Intelligent & Fuzzy Systems, vol. 42, no. 2, pp. 991-1002, 2022
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