A convergence predictor model for consensus-based decentralised energy markets

A convergence predictor model for consensus-based decentralised energy markets

This paper introduces a convergence prediction model (CPM) for decentralized market clearing mechanisms. The CPM serves as a tool to detect potential cyber-attacks that affect the convergence of the consensus mechanism during ongoing market clearing operations. In this study, we propose a success...

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Bibliographic Details
Main Authors: Pareek, Parikshit, Sampath, Lahanda Purage Mohasha Isuru, Nguyen, Hung D., Foo, Eddy Yi Shyh
Other Authors: School of Electrical and Electronic Engineering
Format: Conference or Workshop Item
Language:English
Published: 2024
Subjects:
Engineering
Convergence prediction model
Energy
Online Access:https://hdl.handle.net/10356/178568
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Institution: Nanyang Technological University
Language: English
Description
Summary:This paper introduces a convergence prediction model (CPM) for decentralized market clearing mechanisms. The CPM serves as a tool to detect potential cyber-attacks that affect the convergence of the consensus mechanism during ongoing market clearing operations. In this study, we propose a successively elongating Bayesian logistic regression approach to model the probability of convergence of real-time market mechanisms. The CPM utilizes net-power balance among all the prosumers/market participants as a feature for convergence prediction, enabling a low-dimensional model to operate efficiently for all the prosumers concurrently. The results highlight that the proposed CPM has achieved a net false rate of less than 0.01% for a stressed dataset.

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