Demand Response Management with Latency Difference in Distributed Wireless Network

Qingfeng Ding; Qianliang Liu; Hui Shi; Jing Luo

doi:10.17775/CSEEJPES.2022.07590

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Demand Response Management with Latency Difference in Distributed Wireless Network

Regular Papers | 更新时间：2026-10-15

- Demand Response Management with Latency Difference in Distributed Wireless Network
- Demand Response Management with Latency Difference in Distributed Wireless Network
- 中国电机工程学会电力与能源系统学报(英文) 2025年11卷第3期页码：1312-1321
- 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
- 作者简介：
- 基金信息：
- DOI：10.17775/CSEEJPES.2022.07590
  中图分类号：
- 纸质出版：2025-05-01
- 稿件说明：
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Qingfeng Ding, Qianliang Liu, Hui Shi, 等. Demand Response Management with Latency Difference in Distributed Wireless Network[J]. 中国电机工程学会电力与能源系统学报(英文), 2025,11(3):1312-1321.

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.
Qingfeng Ding, Qianliang Liu, Hui Shi, 等. Demand Response Management with Latency Difference in Distributed Wireless Network[J]. 中国电机工程学会电力与能源系统学报(英文), 2025,11(3):1312-1321. DOI： 10.17775/CSEEJPES.2022.07590.

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.

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.

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