基于WAMS测量和戴维南等值的电力系统动态仿真误差溯源及可信度验证方法  被引量:14

Confidence Level Verification and Tracking to Error Source for Power Grid Dynamic Simulation Based on WAMS and Thevenin Equivalence

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作  者:安军[1] 王孜航 穆钢[1] 初翠平[1] 陈占斌[3] 

机构地区:[1]东北电力大学微通电力系统研究所,吉林省吉林市132012 [2]辽宁省大连供电公司,辽宁省大连市116001 [3]吉林省电力有限公司,吉林省长春市130021

出  处:《电网技术》2013年第5期1389-1394,共6页Power System Technology

基  金:教育部"长江学者和创新团队发展计划"项目(IRT1114);吉林市科技发展计划项目(201162503);东北电力大学博士科研启动基金项目(BSJXM-201013)的项目资助~~

摘  要:分块解耦动态仿真利用已知的量测数据将系统分块解耦,是电力系统动态仿真误差溯源和仿真验证的重要手段。提出的基于WAMS量测和戴维南等值的电力系统分块解耦动态仿真验证方法,直接利用WAMS数据将复杂的外部系统等值为简单的戴维南等值系统从而实现动态仿真的解耦,减小了动态仿真误差的溯源范围,在此基础上给出了分块解耦动态仿真验证的策略;研究了戴维南等值方法与变阻抗法之间的关系,指出变阻抗法是戴维南等值方法的一种特例。以动模实验室模拟2机无穷大系统为例,验证了戴维南等值方法的有效性,可以将其应用于实际大规模电力系统动态仿真误差溯源和验证中。Partitioned decoupling based dynamic simulation utilizes measured data to implement the partitioned decoupling of power grid, and it is an important means for confidence level verification and tracking to error source of power grid dynamic simulation. A Thevenin equivalent and WAMS data based verification method for partitioned decoupling based dynamic simulation is proposed, in which the WAMS data is directly utilized to make the complex external system equivalent to simple Thevenin equivalent system to implement the decoupling in dynamic simulation, thus the range to be traced to error source can be reduced. On this basis a strategy to verify partitioned decoupling based dynamic simulation results is given; according to the research on the relationship between Thevenin equivalent method and variable impedance method, it is pointed out that the variable impedance method is a special case of Thevenin equivalent method. Simulation of a two-machine infinitive bus system is performed in dynamic simulation laboratory to. verify the effectiveness of Thevenin equivalent method, simulation results show that the Thevenin equivalent method can be used in confidence level verification and tracking to error source of power grid dynamic simulation.

关 键 词:动态仿真 仿真验证 误差溯源 戴维南等值 

分 类 号:TM744[电气工程—电力系统及自动化]

 

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