Demand Response Management with Latency Difference in Distributed Wireless Network
Regular Papers|更新时间:2026-10-15
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Demand Response Management with Latency Difference in Distributed Wireless Network
CSEE Journal of Power and Energy SystemsVol. 11, Issue 3, Pages: 1312-1321(2025)
作者机构:
Department of Electrical and Automation Engineering, State Key Laboratory of Performance Monitoring Protecting of Rail Transit Infrastructure, East China Jiaotong University,Nanchang,China
Qingfeng Ding, Qianliang Liu, Hui Shi, et al. Demand Response Management with Latency Difference in Distributed Wireless Network[J]. CSEE Journal of Power and Energy Systems, 2025, 11(3): 1312-1321.
DOI:
Qingfeng Ding, Qianliang Liu, Hui Shi, et al. Demand Response Management with Latency Difference in Distributed Wireless Network[J]. CSEE Journal of Power and Energy Systems, 2025, 11(3): 1312-1321.DOI: 10.17775/CSEEJPES.2022.07590.
Demand Response Management with Latency Difference in Distributed Wireless Network
摘要
Abstract
The performance of smart grid under the demand response (DR) control depends on the behavior of its network
which involves differences for multi-category DRs. In this paper
a distributed wireless network (DWN) is proposed for the demand transmission under smart grid
where all DR projects are divided into the emergency DR and the general DR by the latency difference. In the proposed DWN
a pseudo-double-hop transmission architecture is designed to handle the emergency DR locally and general DRs centrally
respectively. Furthermore
an analysis framework based on communication and computing performance is used to certify the reliability and effectiveness of DWN. Based on the framework
the closed-form expressions are derived for the asymptotic outage and computing probability
the results of which are used to investigate the performance of emergency and general DRs. Numerical results validate the reliability and effectiveness of the proposed network and reveal the effect of various parameters on the performance of DR. Notably
the local solution can handle
in terms of the emergency DR
the emergency tasks in time
and the centralized processing solution can update and process the general DR.