面向可中断负荷控制的需求响应通信业务优化

肖勇; 吴昊文; 王宗义; 王岩

doi:10.7500/AEPS20191203006

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面向可中断负荷控制的需求响应通信业务优化

学术研究 | 更新时间：2025-06-16

- 面向可中断负荷控制的需求响应通信业务优化
- Communication Service Optimization of Demand Response for Interruptible Load Control
- 电力系统自动化-方正平台 2020年44卷第15期页码：36-43
- 作者机构：
  
  1. 南方电网科学研究院有限责任公司，广东省广州市 510663
  2. 中国南方电网有限责任公司，广东省广州市 510663
- 作者简介：
  
  肖勇(1978—)，男，博士，教授级高级工程师，主要研究方向：智能用电技术、电动汽车、需求响应、计量自动化技术、高级量测技术。E-mail：xiaoyong@csg.cn
  吴昊文(1991—)，男，通信作者，硕士，工程师，主要研究方向：电力电子。E-mail：wuhw@csg.cn
  王宗义（1971—），男，博士，高级工程师，主要研究方向：电力交易及电力市场。
- 基金信息：
  
  中国南方电网有限责任公司科技资助项目(ZBKJXM20180108)
- DOI：10.7500/AEPS20191203006
  中图分类号：
- 收稿日期：2019-12-03，
  
  修回日期：2020-03-30，
  
  网络出版日期：2020-06-06，
  
  纸质出版日期：2020-08-10
- 稿件说明：
移动端阅览
肖勇,吴昊文,王宗义等.面向可中断负荷控制的需求响应通信业务优化[J].电力系统自动化,2020,44(15):36-43.

XIAO Yong,WU Haowen,WANG Zongyi,et al.Communication Service Optimization of Demand Response for Interruptible Load Control[J].Automation of Electric Power Systems,2020,44(15):36-43.
肖勇,吴昊文,王宗义等.面向可中断负荷控制的需求响应通信业务优化[J].电力系统自动化,2020,44(15):36-43. DOI： 10.7500/AEPS20191203006.

XIAO Yong,WU Haowen,WANG Zongyi,et al.Communication Service Optimization of Demand Response for Interruptible Load Control[J].Automation of Electric Power Systems,2020,44(15):36-43. DOI： 10.7500/AEPS20191203006.

摘要

需求响应（DR）常态化的发展依赖于高可靠性的信息交互，尤其是在无线传输应用中。为了提升当前DR中可中断负荷控制的通信信道质量，设计了一种基于信噪比和信道增益的自适应空时预编码策略。所提策略结合DR通信需求，在提高信息传输可靠性的同时自适应规避编码引入的额外计算开销。首先，基于中国DR信息交互规范，结合实际信息传输和控制的频度要求，规定DR不同时段传输的通信服务等级。然后，引入可以优化提升信道增益且DR终端计算开销更低的Alamouti编码技术。在此基础上，利用自适应预编码机制的Alamouti编码策略优化信息传输质量。仿真实例验证了所提算法的有效性。

Abstract

The development of demand response (DR) normalization relies on highly reliable information interchange

especially in the applications of wireless transmission. In this paper

an adaptive space-time precoding strategy based on signal-to-noise ratio and channel gain is designed to improve the quality of communication channels for interruptible load control in current DR. The proposed strategy combines DR communication demands. While improving the reliability of information transmission

it adaptively avoids the extra computational overhead introduced by coding. Firstly

based on the DR information exchange specification of China

combined with the actual information transmission and control frequency requirements

the communication service levels for DR transmission are specified in different periods. Secondly

the Alamouti coding technology is introduced to optimize the channel gain and reduce the DR terminal calculation overhead. On this basis

the Alamouti coding strategy of the adaptive precoding mechanism is used to optimize the transmission quality of information. Simulation examples verify the effectiveness of the proposed algorithm.

关键词

Keywords

references

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