Risk-Averse Decentralized Optimal Scheduling of a Virtual Energy Hub Plant Equipped with Multi Energy Conversion Facilities in Energy Markets

Mansour Saatloo, Amin, Mudiyanselage, Dinithi Wijesooriya, Mirzaei, Mohammad Amin, Mehrabidavoodabadi, Abbas, Marzband, Mousa and Aslam, Nauman (2022) Risk-Averse Decentralized Optimal Scheduling of a Virtual Energy Hub Plant Equipped with Multi Energy Conversion Facilities in Energy Markets. In: 2022 57th International Universities Power Engineering Conference (UPEC). IEEE, Piscataway, US, pp. 1-6. ISBN 9781665455060, 9781665455053

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Official URL: https://doi.org/10.1109/UPEC55022.2022.9917922


Distributed multi-energy systems, in addition to their advantages, pose significant challenges to future energy networks. One of these challenges is how these systems participate in energy markets. To overcome this issue, this paper introduces a virtual energy hub plant (VEHP) comprised of multiple energy hubs (EHs) to participate in the energy market in a cost-effective manner. Each EH is equipped with multiple distributed energy resources (DERs) in order to supply electrical, heating and cooling loads. Moreover, an integrated demand response (IDR) program and vehicle-to-grid (V2G) capable electric vehicles (EVs) are taken into consideration to enhance the flexibility to EHs. The manager of the VEHP participates in the existing day-ahead markets on behalf of EHs after collecting their bids. Since EHs are independent entities, a hybrid model of mobile edge computing system and analytical target cascading theory (MECATC) is proposed to preserve data privacy of EHs. Further, to tackle the uncertainty of renewables, a robust optimization method is applied. Obtained results corroborated the proposed scheduling is efficient and could increase the VEHP’s profit about 21.4% in light of using flexible technologies.

Item Type: Book Section
Additional Information: Funding information: This work was funded by PGR scholarship (RDF studentship) at Northumbria University and supported from DTE Network+ funded by EPSRC grant reference EP/S032053/1. 57th International Universities Power Engineering Conference (UPEC), Istanbul, Turkey, 30 Aug - 2 Sep 2022
Uncontrolled Keywords: Virtual energy hub plant, mobile edge computing (MEC), analytical target cascading theory (ATC), combined heat and power (CHP) unit, uncertainty
Subjects: H800 Chemical, Process and Energy Engineering
Department: Faculties > Engineering and Environment > Computer and Information Sciences
Faculties > Engineering and Environment > Mathematics, Physics and Electrical Engineering
Depositing User: John Coen
Date Deposited: 10 Nov 2022 12:06
Last Modified: 16 Dec 2022 12:29
URI: https://nrl.northumbria.ac.uk/id/eprint/50605

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