1.华北电力大学电气与电子工程学院,北京市 102206;2.苏州供电公司信息通信分公司,江苏省 苏州市 215004;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
由于电力行业的特殊性,承载其业务传输的电力通信网的可靠性逐步受到了重视,随着电力通信网架建设不断完善,网络逐渐表现出垂直分层化的特点,使得跨层联合保护成为可能。文中针对电力通信网设计了一种基于网络编码的跨层保护策略(CLPBNC)。在IP层利用网络编码为链路提供保护,在光传输网中利用预置圈恢复链路故障,并研究跨层联合保护的条件,进而提高保护效率。仿真结果表明,CLPBNC可以有效降低保护冗余度,提高保护效率进而优化网络的整体性能。
国家自然科学基金资助项目(51777068);国家重点研发计划资助项目(2016YFB0901100)。
李彬(1983—),男,博士,副教授,主要研究方向:电气信息技术及智能电网信息通信技术。E-mail:direfish@163.com
贾滨诚(1996—),男,通信作者,硕士研究生,主要研究方向:电力系统通信、能源互联网信息通信支撑技术。E-mail:552406443@qq.com
孙毅(1972—),男,博士,教授,主要研究方向:电力大数据与电网能效节能相关技术。E-mail:sy@ncepu.edu.cn
1.School of Electrical and Electronic Engineering, North China Electric Power University, Beijing 102206, China;2.Information and Communication Branch, Suzhou Power Supply Company, Suzhou 215004, China;3.Shanghai Key Laboratory of Smart Grid Demand Response (Shanghai Electrical Apparatus Research Institute (Group) Co., Ltd.), Shanghai 200063, China
Due to the particularity of power industry, the reliability of power communication network carrying its business transmission has been paid more and more attention. With the continuous improvement of the communication network structrue, the network gradually presents the characteristics of vertical layering, which makes cross-layer joint protection possible. A cross-layer protection based on network coding (CLPBNC) strategy is proposed for power communication network. In IP layer, network coding is used to protect links. In optical transmission network, preconfigured cycle (P-cycle) is used to recover link failure. And conditions of cross-layer joint protection are studied to improve protection efficiency. The simulation results show that CLPBNC can effectively reduce the redundancy of protection, improve the efficiency of protection and optimize the overall performance of the network.
[1] | 李彬,贾滨诚,孙毅,等.基于网络编码的电力通信网跨层保护算法[J].电力系统自动化,2020,44(3):132-138. DOI:10.7500/AEPS20190428002. LI Bin, JIA Bincheng, SUN Yi, et al. Cross-layer Protection Algorithm Based on Network Coding in Power Communication Network[J]. Automation of Electric Power Systems, 2020, 44(3):132-138. DOI:10.7500/AEPS20190428002. |