面向需求响应业务的灵活弹性传输策略

doi:10.12204/j.issn.1000-7229.2022.02.002

电力建设 ›› 2022, Vol. 43 ›› Issue (2): 10-17.doi: 10.12204/j.issn.1000-7229.2022.02.002

面向需求响应业务的灵活弹性传输策略

李磊¹, 王朝亮², 郝一浩³(), 李彬³(), 祁兵³, 陈宋宋⁴

1.国网浙江省电力有限公司,杭州市 310007
2.国网浙江省电力有限公司营销服务中心,杭州市 311100
3.华北电力大学电气与电子工程学院,北京市 102206
4.需求侧多能互补优化与供需互动技术北京市重点实验室(中国电力科学研究院有限公司),北京市 100192

收稿日期:2021-07-22 出版日期:2022-02-01 发布日期:2022-03-24
通讯作者: 郝一浩 E-mail:mfyyihao@163.com;direfish@163.com
作者简介:李磊(1982),女,高级工程师,研究方向为电力需求侧管理;
王朝亮(1986),男,硕士,高级工程师,研究方向为电力需求侧管理、电能计量及用电信息采集技术;
李彬(1983),男,博士,副教授,主要从事电气信息技术及电力系统通信方面的研究工作,E-mail: direfish@163.com;
祁兵(1965),男,教授,博士生导师,主要研究方向为电力节能、自动需求响应;
陈宋宋(1987),男,硕士,工程师,研究方向为能效与智能用电技术。
基金资助:
国网浙江省电力有限公司科技项目“大规模可调节负荷资源评估、规划运行、优化调节关键技术研究及示范应用”(2021ZK52)

Flexible and Elastic Transport Strategy for Demand Response Services

LI Lei¹, WANG Chaoliang², HAO Yihao³(), LI Bin³(), QI Bing³, CHEN Songsong⁴

1. State Grid Zhejiang Electric Power Co.,Ltd., Hangzhou 310007,China
2. State Grid Zhejiang Marketing Service Centre, Hangzhou 311100,China
3. School of Electric and Electronic Engineering,North China Electric Power University, Beijing 102206,China
4. Beijing Key Laboratory of Demand Side Multi-Energy Carriers Optimization and Interaction Technique(China Electric Power Research Institute),Beijing 100192,China

Received:2021-07-22 Online:2022-02-01 Published:2022-03-24
Contact: HAO Yihao E-mail:mfyyihao@163.com;direfish@163.com
Supported by:
Science and Technology Projects from State Grid Zhejiang Electric Power Co.,Ltd(2021ZK52)

摘要/Abstract

摘要：

随着需求响应(demand response, DR)不断深化实践,未来需要依靠高可靠的信息交互支撑精细化的DR控制。然而在DR无线通信场景下,复杂的信道环境极大影响DR高效的信息交互,现有技术难以匹配和满足DR业务的特性。针对DR无线传输中的信道质量问题,设计了面向DR业务的灵活弹性传输策略,该策略通过自适应编码实现。首先,在业务层面分析DR业务类型及执行时段的通信服务差异化需求;然后,引入预编码技术提升信道增益;最后,利用双层自适应编码策略实现不同DR业务、不同DR时段下的通信传输优化,同时兼顾算法的处理时延。仿真结果表明,所提策略能在降低系统差错率的同时合理规划计算资源。

关键词: 需求响应(DR), 通信服务, 信息交互, 预编码, 自适应编码

Abstract:

With the deepening practice of demand response (DR), we need to rely on highly reliable information exchange to support fine DR control in the future. However, in the DR wireless communication scenario, the complex channel environment greatly affects the efficient information exchange of DR, and the existing technology is difficult to match and meet the characteristics of DR services. Aiming at the problem of channel quality in DR wireless transmission, this paper designs a flexible transmission strategy for DR service, which is realized by adaptive coding. First of all, the types of DR services and the differential requirements of communication services during the execution period are analyzed at the service level. Then, the precoding technology is introduced to improve the channel gain. Finally, a double-layer adaptive coding strategy is used to optimize the communication transmission under different DR services and different DR periods, while taking into account the processing delay of the algorithm. Simulation results show that the proposed strategy can not only reduce the system error rate, but also reasonably plan the computing resources.

Key words: demand response(DR), communication service, information interaction, precoding, adaptive coding

中图分类号:

TM73

李磊, 王朝亮, 郝一浩, 李彬, 祁兵, 陈宋宋. 面向需求响应业务的灵活弹性传输策略[J]. 电力建设, 2022, 43(2): 10-17.

LI Lei, WANG Chaoliang, HAO Yihao, LI Bin, QI Bing, CHEN Songsong. Flexible and Elastic Transport Strategy for Demand Response Services[J]. ELECTRIC POWER CONSTRUCTION, 2022, 43(2): 10-17.

图/表 9

图1 DR信息交互系统整体示意图

Fig.1 Overall schematic diagram of demand-response information interaction system

表1 DR业务通信服务质量需求

Table 1 Communication quality of service requirements for demand response services

图2 THP系统原理图

Fig.2 Schematic diagram of THP system

图3 DR事件时间轴

Fig.3 Timeline of demand response event

图4 自适应编码策略实施步骤

Fig.4 Steps of an adaptive coding switch strategy

图5 不同编码方案下BER统计分析

Fig.5 BER statistical analysis under different coding schemes

表2 不同编码方案处理时延对比

Table 2 Comparison of processing delay of different coding schemes ms

图6 不同编码方案下平均处理时延统计分析

Fig.6 Statistical analysis of average processing delay under different coding schemes

图7 一天内DR无线通信系统平均误码率分析

Fig.7 Analysis of the average bit error rate of DR wireless communication system in a day

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面向需求响应业务的灵活弹性传输策略

Flexible and Elastic Transport Strategy for Demand Response Services

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