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机构地区:[1]中国电力工程顾问集团,北京市100120 [2]电力系统国家重点实验室清华大学电机系,北京市100084
出 处:《电力系统自动化》2010年第24期11-17,共7页Automation of Electric Power Systems
基 金:国家自然科学基金资助项目(50807026);国家重点基础研究发展计划(973计划)资助项目(2004CB217903);清华信息科学与技术国家实验室(筹)资助项目~~
摘 要:分布式计算方式可以有效地利用各级调度中心的计算资源和数据资源,实现大规模互联电网一体化仿真分析。在调度中心之间的广域网络中实施的分布式仿真,会受到各种不确定因素的干扰,从而导致计算中断或结果不正确。因此,提高分布式仿真系统的抗干扰能力,即鲁棒性,是使其实用的必要条件。为了在数据交换出现随机无规则类错误的情况下仍能得到精度可知的分布式仿真结果,提出了一种分布式仿真系统鲁棒性改进方法。该方法包含受扰信号辨识、拟边界条件替代以及仿真结果精度评估3个环节,适用于基于边界协调方程迭代求解的各类分布式仿真应用。针对IEEE标准系统的测试算例表明,所提出的方法对随机无规则类数据交换错误情况有效,可帮助分布式仿真系统得到更具工程应用价值的仿真结果,从而使其具有更高的鲁棒性和实用性。Distributed calculation can make full use of the computing and data resources dispersed in different dispatching centers to implement the unified simulations of inter-connected power systems.However,distributed computing conducted via wide area communication network may be disturbed by various disturbances,thus is subjected to potential computational interruptions or generate incorrect results.Therefore,improving the anti-disturbance capability of the distributed simulation system,i.e.robustness,is the necessary condition for it to be practical.In order to get the desirable precision of the distributed simulation results under the condition that there exists stochastic random mistakes in data exchanges,an improved approach is proposed to enhance the robustness of the distributed simulation system.The proposed approach includes three parts,which are the detection of the noise signal,generating and utilizing the pseudo boundary conditions and the accuracy analysis of the results.It is suitable for any distributed simulation application based on the iterative solving of the boundary coordinative equations.Test results of the IEEE benchmark systems show that the proposed approach can guarantee the distributed simulation process integrated under stochastic and random interferences in the critical data exchanges as well as make the simulation results reasonable and useful for the displacements and analysis of the power utilities.From the simulation,it clear demonstrates high robustness and practicability.
分 类 号:TP391.9[自动化与计算机技术—计算机应用技术]
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