Blockchain-based distributed frequency control of sustainable networked microgrid system with P2P trading
In this work, proof of Authority (PoA)-based Ethereum blockchain is utilized to carry out the peer-to-peer (P2P) energy transactions with an adaptive controller operating in a distributed manner. A federated average learning of recurrent zeroing neural dynamics designed self-adaptive fractional-orde...
Saved in:
Main Authors: | , , , , |
---|---|
Other Authors: | |
Format: | Article |
Language: | English |
Published: |
2024
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/180698 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
id |
sg-ntu-dr.10356-180698 |
---|---|
record_format |
dspace |
spelling |
sg-ntu-dr.10356-1806982024-10-21T05:16:56Z Blockchain-based distributed frequency control of sustainable networked microgrid system with P2P trading Irudayaraj, Andrew Xavier Raj Qiu, Haifeng Veerasamy, Veerapandiyan Tan, Wen-Shan Gooi, Hoay Beng School of Electrical and Electronic Engineering Engineering Networked microgrids Contract participation matrix In this work, proof of Authority (PoA)-based Ethereum blockchain is utilized to carry out the peer-to-peer (P2P) energy transactions with an adaptive controller operating in a distributed manner. A federated average learning of recurrent zeroing neural dynamics designed self-adaptive fractional-order proportional integral derivative (FAL-ZND FOPID) controller is proposed for distributed frequency control of networked microgrid (NMG) system. By employing a blockchain-enabled distributed control system and implementing supplementary control, the proposed method efficiently regulates the frequency of P2P energy trading. The contract participation matrix, which facilitates the transmission of energy demand information from consumers to prosumers, is computed as part of the supplementary control. Thus, it provides the power reference signals to prosumers who participate in ancillary frequency services. Overall, the blockchain implementation ensures that the transfer of signals remains secure from cyber threats. To showcase this concept, the prosumer and consumer nodes are established within the blockchain network using Raspberry Pi devices. These devices are then connected to the NMG setup in OPAL-RT through the socket interface and communicate via TCP/IP protocol. This research is supported by the Malaysian Ministry of Higher Education (MOHE) under the Fundamental Research Grant Scheme (FRGS), Grant No. FRGS/1/2022/STG06/MUSM/03/1. 2024-10-21T05:16:56Z 2024-10-21T05:16:56Z 2024 Journal Article Irudayaraj, A. X. R., Qiu, H., Veerasamy, V., Tan, W. & Gooi, H. B. (2024). Blockchain-based distributed frequency control of sustainable networked microgrid system with P2P trading. Applied Energy, 373, 123849-. https://dx.doi.org/10.1016/j.apenergy.2024.123849 0306-2619 https://hdl.handle.net/10356/180698 10.1016/j.apenergy.2024.123849 2-s2.0-85198743260 373 123849 en Applied Energy © 2024 Elsevier Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies |
institution |
Nanyang Technological University |
building |
NTU Library |
continent |
Asia |
country |
Singapore Singapore |
content_provider |
NTU Library |
collection |
DR-NTU |
language |
English |
topic |
Engineering Networked microgrids Contract participation matrix |
spellingShingle |
Engineering Networked microgrids Contract participation matrix Irudayaraj, Andrew Xavier Raj Qiu, Haifeng Veerasamy, Veerapandiyan Tan, Wen-Shan Gooi, Hoay Beng Blockchain-based distributed frequency control of sustainable networked microgrid system with P2P trading |
description |
In this work, proof of Authority (PoA)-based Ethereum blockchain is utilized to carry out the peer-to-peer (P2P) energy transactions with an adaptive controller operating in a distributed manner. A federated average learning of recurrent zeroing neural dynamics designed self-adaptive fractional-order proportional integral derivative (FAL-ZND FOPID) controller is proposed for distributed frequency control of networked microgrid (NMG) system. By employing a blockchain-enabled distributed control system and implementing supplementary control, the proposed method efficiently regulates the frequency of P2P energy trading. The contract participation matrix, which facilitates the transmission of energy demand information from consumers to prosumers, is computed as part of the supplementary control. Thus, it provides the power reference signals to prosumers who participate in ancillary frequency services. Overall, the blockchain implementation ensures that the transfer of signals remains secure from cyber threats. To showcase this concept, the prosumer and consumer nodes are established within the blockchain network using Raspberry Pi devices. These devices are then connected to the NMG setup in OPAL-RT through the socket interface and communicate via TCP/IP protocol. |
author2 |
School of Electrical and Electronic Engineering |
author_facet |
School of Electrical and Electronic Engineering Irudayaraj, Andrew Xavier Raj Qiu, Haifeng Veerasamy, Veerapandiyan Tan, Wen-Shan Gooi, Hoay Beng |
format |
Article |
author |
Irudayaraj, Andrew Xavier Raj Qiu, Haifeng Veerasamy, Veerapandiyan Tan, Wen-Shan Gooi, Hoay Beng |
author_sort |
Irudayaraj, Andrew Xavier Raj |
title |
Blockchain-based distributed frequency control of sustainable networked microgrid system with P2P trading |
title_short |
Blockchain-based distributed frequency control of sustainable networked microgrid system with P2P trading |
title_full |
Blockchain-based distributed frequency control of sustainable networked microgrid system with P2P trading |
title_fullStr |
Blockchain-based distributed frequency control of sustainable networked microgrid system with P2P trading |
title_full_unstemmed |
Blockchain-based distributed frequency control of sustainable networked microgrid system with P2P trading |
title_sort |
blockchain-based distributed frequency control of sustainable networked microgrid system with p2p trading |
publishDate |
2024 |
url |
https://hdl.handle.net/10356/180698 |
_version_ |
1814777812175814656 |