基于模糊逻辑改进加权公平队列的需求响应业务调度策略

李彬; 陈京生; 王岩; 奚培锋; 祁兵; 孙毅

doi:10.7500/AEPS20190228002

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基于模糊逻辑改进加权公平队列的需求响应业务调度策略

学术研究 | 更新时间：2025-06-16

- 基于模糊逻辑改进加权公平队列的需求响应业务调度策略
- Scheduling Strategy of Demand Response Business Based on Fuzzy Logic Based Improved Weighted Fair Queuing
- 电力系统自动化-方正平台 2020年44卷第2期页码：60-67
- 作者机构：
  
  1.华北电力大学电气与电子工程学院，北京市 102206
  2.中国南方电网科学研究院有限责任公司,广东省广州市 510080
  3.上海市智能电网需求响应重点实验室(上海电器科学研究所（集团）有限公司），上海市 200063
- 作者简介：
  
  李彬(1983—)，男，通信作者，博士，副教授，主要研究方向：电气信息技术、自动需求响应。E-mail：direfish@163.com
  陈京生(1993—)，男，硕士研究生，主要研究方向：需求响应信息通信支撑相关技术。
  王岩(1979—)，男，硕士,高级工程师，主要研究方向：电气工程及其自动化。
- 基金信息：
  
  中央高校基本科研业务费专项资金资助项目(2019MS004)
- DOI：10.7500/AEPS20190228002
  中图分类号：
- 收稿日期：2019-02-28，
  
  修回日期：2019-07-07，
  
  网络出版日期：2019-10-30，
  
  纸质出版日期：2020-01-25
- 稿件说明：
移动端阅览
李彬,陈京生,王岩等.基于模糊逻辑改进加权公平队列的需求响应业务调度策略[J].电力系统自动化,2020,44(02):60-67.

LI Bin,CHEN Jingsheng,WANG Yan,et al.Scheduling Strategy of Demand Response Business Based on Fuzzy Logic Based Improved Weighted Fair Queuing[J].Automation of Electric Power Systems,2020,44(02):60-67.
李彬,陈京生,王岩等.基于模糊逻辑改进加权公平队列的需求响应业务调度策略[J].电力系统自动化,2020,44(02):60-67. DOI： 10.7500/AEPS20190228002.

LI Bin,CHEN Jingsheng,WANG Yan,et al.Scheduling Strategy of Demand Response Business Based on Fuzzy Logic Based Improved Weighted Fair Queuing[J].Automation of Electric Power Systems,2020,44(02):60-67. DOI： 10.7500/AEPS20190228002.

摘要

为应对日益增长的需求响应业务服务质量需求，首先分析了需求响应业务流特征，并建立了需求响应业务的精细化业务流模型。其次，通过对需求响应通信时延进行分解，分析了造成需求响应通信网络拥塞的主要原因。然后，为了满足需求响应业务服务质量需求，考虑了需求响应通信网络负载状态、业务突发度的动态特性，提出了一种基于模糊逻辑改进的加权公平队列动态调度策略。仿真实验结果表明，所提需求响应通信动态队列调度策略可以兼顾不同需求响应业务的服务质量需求，减小低优先级需求响应业务传输时延的同时，改善了传输时延抖动特性。

Abstract

In order to cope with the increasing quality of service （QoS) requirements for demand response services

this paper firstly analyses the characteristics of demand response services and establishes refined traffic models of demand response services. Secondly

by decomposing the communication delay of demand response

the main reasons for the congestion of the demand response communication networks are analyzed. Then

in order to satisfy the quality of service requirements of demand response services

a dynamic scheduling strategy of improved weighted fair queuing based on fuzzy logic is proposed

which considers the dynamic characteristics of load conditions and service burst degree of communication network for demand response services. The simulation results show that the proposed dynamic queue scheduling strategy of demand response can balance the quality of service requirements of different demand response services

reduce the transmission delay of low priority demand response services and improve the jitter performance of transmission delay.

关键词

Keywords

references

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