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...

Full description

Saved in:
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:
Online Access:https://hdl.handle.net/10356/178568
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Nanyang Technological University
Language: English
id sg-ntu-dr.10356-178568
record_format dspace
spelling sg-ntu-dr.10356-1785682024-06-28T15:38:57Z A convergence predictor model for consensus-based decentralised energy markets Pareek, Parikshit Sampath, Lahanda Purage Mohasha Isuru Nguyen, Hung D. Foo, Eddy Yi Shyh School of Electrical and Electronic Engineering 15th ACM International Conference on Future and Sustainable Energy Systems (E-Energy ’24) Engineering Convergence prediction model Energy 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. Published version 2024-06-26T04:53:51Z 2024-06-26T04:53:51Z 2024 Conference Paper Pareek, P., Sampath, L. P. M. I., Nguyen, H. D. & Foo, E. Y. S. (2024). A convergence predictor model for consensus-based decentralised energy markets. 15th ACM International Conference on Future and Sustainable Energy Systems (E-Energy ’24), 606-609. https://dx.doi.org/10.1145/3632775.3661987 979-8-4007-0480-2/24/06 https://hdl.handle.net/10356/178568 10.1145/3632775.3661987 606 609 en © 2024 Copyright held by the owner/author(s). This work is licensed under a Creative Commons Attribution International 4.0 License. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering
Convergence prediction model
Energy
spellingShingle Engineering
Convergence prediction model
Energy
Pareek, Parikshit
Sampath, Lahanda Purage Mohasha Isuru
Nguyen, Hung D.
Foo, Eddy Yi Shyh
A convergence predictor model for consensus-based decentralised energy markets
description 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.
author2 School of Electrical and Electronic Engineering
author_facet School of Electrical and Electronic Engineering
Pareek, Parikshit
Sampath, Lahanda Purage Mohasha Isuru
Nguyen, Hung D.
Foo, Eddy Yi Shyh
format Conference or Workshop Item
author Pareek, Parikshit
Sampath, Lahanda Purage Mohasha Isuru
Nguyen, Hung D.
Foo, Eddy Yi Shyh
author_sort Pareek, Parikshit
title A convergence predictor model for consensus-based decentralised energy markets
title_short A convergence predictor model for consensus-based decentralised energy markets
title_full A convergence predictor model for consensus-based decentralised energy markets
title_fullStr A convergence predictor model for consensus-based decentralised energy markets
title_full_unstemmed A convergence predictor model for consensus-based decentralised energy markets
title_sort convergence predictor model for consensus-based decentralised energy markets
publishDate 2024
url https://hdl.handle.net/10356/178568
_version_ 1806059756643680256