Hierarchical Blockchain Energy Trading Platform and Microgrid Management Optimization
Kristián Košt’ál (),
Volodymyr Khilenko and
Michal Hunák
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Kristián Košt’ál: Institute of Computer Engineering and Applied Informatics, Faculty of Informatics and Information Technologies, Slovak University of Technology, 842 16 Bratislava, Slovakia
Volodymyr Khilenko: Institute of Computer Engineering and Applied Informatics, Faculty of Informatics and Information Technologies, Slovak University of Technology, 842 16 Bratislava, Slovakia
Michal Hunák: Institute of Computer Engineering and Applied Informatics, Faculty of Informatics and Information Technologies, Slovak University of Technology, 842 16 Bratislava, Slovakia
Energies, 2024, vol. 17, issue 6, 1-18
Abstract:
In this paper, we describe a solution that has been developed to create an intelligent software platform for the optimal management of energy trade (specifically a P2P trade) in microgrids. Furthermore, the choice of a solution based on the architecture of two-level hierarchical systems using the restrictions and recommendations of the control center is substantiated. A general functional design of the platform is proposed using blockchain technology and cyber security solutions. The proposed solution includes the technical specification of the presented platform using the game theory model as a special case without loss of generality. The enhanced learning method was used to simulate customer behavior. Simulation of the platform operation was carried out using the example of optimizing the peak-to-average network load by users making individual decisions using game theory algorithms. The simulation results of the implementation of scenarios with and without recommendations confirmed that the proposed model provides a better peak-to-average ratio (PAR) in the network.
Keywords: smart grid; game theory; intelligent network; hierarchical systems; micronetwork; system analysis methods (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: 2024
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Citations: View citations in EconPapers (1)
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:17:y:2024:i:6:p:1333-:d:1354741
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