Flexible Smart Energy-Management Systems Using an Online Tendering Process Framework for Microgrids

Mansour Selseleh Jonban, Luis Romeral, Elyas Rakhshani () and Mousa Marzband
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Mansour Selseleh Jonban: MCIA Center, Electronic Engineering Department, Universitat Politecnica de Catalunya, 08222 Terrassa, Spain
Luis Romeral: MCIA Center, Electronic Engineering Department, Universitat Politecnica de Catalunya, 08222 Terrassa, Spain
Elyas Rakhshani: Technology Area, Control and Algorithm Group, Hybrid Energy-Storage Solutions (HESStec), 46980 Valencia, Spain
Mousa Marzband: Electrical Power and Control Systems Research Group, Northumbria University, Ellison Place, Newcastle upon Tyne NE1 8ST, UK

Energies, 2023, vol. 16, issue 13, 1-19

Abstract: Currently, modern power grids are evolving into complex cyber-physical systems integrated with distributed energy resources that can be controlled and monitored by computer-based algorithms. Given the increasing prevalence of artificial intelligence algorithms, it is essential to explore the possibility of energy management in microgrids by implementing control methodologies with advanced processing centers. This study proposes a novel smart multi-agent-based framework under a tendering process framework with a bottom-up approach to control and manage the flow of energy into a grid-connected microgrid (MG). The tendering organization in this structure as an upstream agent allocates demand among generators, creates a balance between supply and demand, and provides optimal energy cost for the MG. To optimize the electricity cost and decrease the use of grid power, the first-price sealed-bid (FPSB) algorithm is implemented over the tendering process. The proposed approach from one side optimally allocates energy among generators, and, from the other side, guarantees the system from blackouts. Theoretical analysis and results demonstrate that the proposed technique is easy to implement and provides a robust and stable control for MGs, which can guarantee energy management as well as flexible and online control. Furthermore, results show the proposed framework besides the real-time allocation of power among providers to optimize the injected power from the grid so that the total injected power by the grid is 146.92 kWh and the injected power to the grid is 214.34 kWh.

Keywords: energy-management system; multi-agent system; tendering process framework; first-price sealed-bid algorithm; bottom-up approach; DC microgrid (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
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