吴优, 付立军, 马凡, 等. 舰船能量管理网络与电力系统的信息物理联合仿真[J]. 中国舰船研究, 2020, 15(6): 29–36. doi: 10.19693/j.issn.1673-3185.01740
引用本文: 吴优, 付立军, 马凡, 等. 舰船能量管理网络与电力系统的信息物理联合仿真[J]. 中国舰船研究, 2020, 15(6): 29–36. doi: 10.19693/j.issn.1673-3185.01740
WU Y, FU L J, MA F, et al. Cyber-physical co-simulation of shipboard energy management network and power system[J]. Chinese Journal of Ship Research, 2020, 15(6): 29–36. doi: 10.19693/j.issn.1673-3185.01740
Citation: WU Y, FU L J, MA F, et al. Cyber-physical co-simulation of shipboard energy management network and power system[J]. Chinese Journal of Ship Research, 2020, 15(6): 29–36. doi: 10.19693/j.issn.1673-3185.01740

舰船能量管理网络与电力系统的信息物理联合仿真

Cyber-physical co-simulation of shipboard energy management network and power system

  • 摘要:
      目的  随着能量管理网络在舰船电力系统中的广泛应用,其非理想特性对电力系统运行性能的影响日趋明显。为了分析两个系统之间的紧耦合特性,提出一种信息网络与电力系统仿真相结合的信息物理联合仿真方法。
      方法  该方法分别以OPNET网络仿真软件和Matlab/Simulink软件作为能量管理信息网络与电力系统的仿真平台,基于统一的联合仿真框架实现平台之间的数据交互接口和时钟同步功能;搭建舰船电力系统中同步发电机组并联带负载的联合仿真模型,分析能量管理信息网络中链路固有延时、网络背景流量等特性对电力系统功率二次分配过程的影响。
      结果  仿真结果表明:添加链路延时(2和5 ms)之后,整个控制环节的总延时分别约为12和30 ms,网络链路的固定延时对电力系统响应产生了明显影响;当网络背景流量导致链路过载时,数据包延时和系统闭环控制延时将逐渐增加,而系统在仿真后期将趋于失稳发散。
      结论  该方法可为未来舰船电力系统与能量管理系统的耦合研究提供有效的仿真手段。

     

    Abstract:
      Objectives  With the wide application of energy management system (EMS) networks in shipboard power systems, their non-ideal characteristics have a growing effect on the system performance. To analyze the close-coupling feature of the two systems, a cyber-physical co-simulation method that combines information network and power system simulation is proposed.
      Methods  Using OPNET and Matlab/Simulink as an information network and power system simulator respectively, the software data exchange interfaces and co-simulation synchronization method are proposed based on a uniform co-simulation framework. A co-simulation model of two synchronous generators running in parallel with load is built, and the effect of EMS information network characteristics including link latency and background traffic on secondary power distribution is studied.
      Results  Simulation results indicate that after adding link latency (2 and 5 ms), the total latency of the control process is around 12 and 30 ms. The fixed latency on network links significantly affects the response of the power system. When network links are overloaded by background traffic, the packet latency and system closed loop control latency will increase, the system will diverge after a certain period.
      Conclusions  The proposed method provides an effective simulative method for future research on shipboard close-coupling EMS information network and power system.

     

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