分布式仿真系统的鲁棒性及其分析方法初探

Robustness of Distributed Processing for Power System Simulation

基于分解协调计算模式的分布式仿真技术可有效地利用各调度中心的计算资源和数据资源,实现一体化仿真分析。然而,分布式仿真需要在广域网络环境中进行,计算过程可能受到各种不确定因素的干扰。因此,有必要研究扰动情况下分布式仿真的收敛性和正确性,即分布式仿真系统的鲁棒性。针对典型分解协调计算模式,文中提出了电力系统中分布式仿真系统鲁棒性定义,并针对通信故障这一关键扰动形式给出实用的鲁棒性评估方法。进一步,针对一类分布式潮流计算过程,构建其控制系统模型,给出其鲁棒性分析结果。所提出的鲁棒性评估和分析方法具有通用性,可适用于多种分布式仿真应用系统相关分析,有助于提高分布式仿真效率、评价分布式仿真系统鲁棒性以及指导协调算法的改进。

Simulation of inter-connected power systems can be achieved with distributed processing,which coordinates computing and data resources dispersed in different dispatching centers. Nevertheless,computing process may be interfered by various uncertain disturbances,because the process must be conducted via wide area communication network. Therefore,it is necessary to study the convergence and correctness of distributed simulations subjected to disturbances,namely,robustness of distributed processing for power system simulation. In this paper,the definition for robustness of distributed processing is proposed first. A method is presented to study the robustness of distributed processing which subjected to communication error. Furthermore,a distributed power flow calculating process is used to illustrate the method and the result demonstrates its universality.