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面向需求响应业务的灵活弹性传输策略
引用本文: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.
作者姓名:李磊  王朝亮  郝一浩  李彬  祁兵  陈宋宋
作者单位:1.国网浙江省电力有限公司,杭州市 3100072.国网浙江省电力有限公司营销服务中心,杭州市 3111003.华北电力大学电气与电子工程学院,北京市 1022064.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
基金项目: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)。
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  
收稿时间:2021-07-22

Flexible and Elastic Transport Strategy for Demand Response Services
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.
Authors:LI Lei  WANG Chaoliang  HAO Yihao  LI Bin  QI Bing  CHEN Songsong
Affiliation:1. State Grid Zhejiang Electric Power Co.,Ltd., Hangzhou 310007,China2. State Grid Zhejiang Marketing Service Centre, Hangzhou 311100,China3. School of Electric and Electronic Engineering,North China Electric Power University, Beijing 102206,China4. Beijing Key Laboratory of Demand Side Multi-Energy Carriers Optimization and Interaction Technique(China Electric Power Research Institute),Beijing 100192,China
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.
Keywords:demand response(DR)  communication service  information interaction  precoding  adaptive coding
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