Distributed trusted demand response bidding mechanism empowered by blockchain

In the demand response process involving multi-agent participation, multiple parties’ interests are involved and response execution status supervision is required. Traditional centralized demand response systems lack trust attributes. At the same time, traditional centralized cloud management can no...

Full description

Saved in:
Bibliographic Details
Main Authors: Lei Wang, Tong Li, Chao Yang, Jiang Chen, Yang Liu, Shuai Ren
Format: Article
Language:English
Published: Tsinghua University Press 2024-09-01
Series:Intelligent and Converged Networks
Subjects:
Online Access:https://www.sciopen.com/article/10.23919/ICN.2024.0013
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1850194688261226496
author Lei Wang
Tong Li
Chao Yang
Jiang Chen
Yang Liu
Shuai Ren
author_facet Lei Wang
Tong Li
Chao Yang
Jiang Chen
Yang Liu
Shuai Ren
author_sort Lei Wang
collection DOAJ
description In the demand response process involving multi-agent participation, multiple parties’ interests are involved and response execution status supervision is required. Traditional centralized demand response systems lack trust attributes. At the same time, traditional centralized cloud management can no longer support massive terminal services, resulting in delays in demand response services. We build a distributed trusted demand response architecture based on blockchain, illustrating the information interaction process in the demand bidding process and container-based edge-side heterogeneous resource management. We also propose a demand bidding algorithm that takes into account both the day-ahead market and the intraday market, aiming to maximize the aggregator’s benefits. In addition, a virtual resource management algorithm to support demand response tasks is also proposed to optimize computing resource allocation and meet business latency requirements. Simulation results demonstrate that compared with only cloud computing or edge computing, the solution we proposed can reduce response delay by more than 39% for the sample system. Energy cost is saved by about 10.25% during container scheduling.
format Article
id doaj-art-3f5259b4620d49f5941e3f0335b6fefc
institution OA Journals
issn 2708-6240
language English
publishDate 2024-09-01
publisher Tsinghua University Press
record_format Article
series Intelligent and Converged Networks
spelling doaj-art-3f5259b4620d49f5941e3f0335b6fefc2025-08-20T02:13:56ZengTsinghua University PressIntelligent and Converged Networks2708-62402024-09-015318119110.23919/ICN.2024.0013Distributed trusted demand response bidding mechanism empowered by blockchainLei Wang0Tong Li1Chao Yang2Jiang Chen3Yang Liu4Shuai Ren5State Grid Liaoning Electric Power Co., Ltd., Shenyang 110000, ChinaLiaoning Electric Power Research Institute of State Grid Corporation of China, Shenyang 110000, ChinaState Grid Liaoning Electric Power Co., Ltd., Shenyang 110000, ChinaLiaoning Electric Power Research Institute of State Grid Corporation of China, Shenyang 110000, ChinaLiaoning Electric Power Research Institute of State Grid Corporation of China, Shenyang 110000, ChinaLiaoning Electric Power Research Institute of State Grid Corporation of China, Shenyang 110000, ChinaIn the demand response process involving multi-agent participation, multiple parties’ interests are involved and response execution status supervision is required. Traditional centralized demand response systems lack trust attributes. At the same time, traditional centralized cloud management can no longer support massive terminal services, resulting in delays in demand response services. We build a distributed trusted demand response architecture based on blockchain, illustrating the information interaction process in the demand bidding process and container-based edge-side heterogeneous resource management. We also propose a demand bidding algorithm that takes into account both the day-ahead market and the intraday market, aiming to maximize the aggregator’s benefits. In addition, a virtual resource management algorithm to support demand response tasks is also proposed to optimize computing resource allocation and meet business latency requirements. Simulation results demonstrate that compared with only cloud computing or edge computing, the solution we proposed can reduce response delay by more than 39% for the sample system. Energy cost is saved by about 10.25% during container scheduling.https://www.sciopen.com/article/10.23919/ICN.2024.0013demand responseblockchainedge and cloud computingdemand biddingvirtual resource management
spellingShingle Lei Wang
Tong Li
Chao Yang
Jiang Chen
Yang Liu
Shuai Ren
Distributed trusted demand response bidding mechanism empowered by blockchain
Intelligent and Converged Networks
demand response
blockchain
edge and cloud computing
demand bidding
virtual resource management
title Distributed trusted demand response bidding mechanism empowered by blockchain
title_full Distributed trusted demand response bidding mechanism empowered by blockchain
title_fullStr Distributed trusted demand response bidding mechanism empowered by blockchain
title_full_unstemmed Distributed trusted demand response bidding mechanism empowered by blockchain
title_short Distributed trusted demand response bidding mechanism empowered by blockchain
title_sort distributed trusted demand response bidding mechanism empowered by blockchain
topic demand response
blockchain
edge and cloud computing
demand bidding
virtual resource management
url https://www.sciopen.com/article/10.23919/ICN.2024.0013
work_keys_str_mv AT leiwang distributedtrusteddemandresponsebiddingmechanismempoweredbyblockchain
AT tongli distributedtrusteddemandresponsebiddingmechanismempoweredbyblockchain
AT chaoyang distributedtrusteddemandresponsebiddingmechanismempoweredbyblockchain
AT jiangchen distributedtrusteddemandresponsebiddingmechanismempoweredbyblockchain
AT yangliu distributedtrusteddemandresponsebiddingmechanismempoweredbyblockchain
AT shuairen distributedtrusteddemandresponsebiddingmechanismempoweredbyblockchain