基于WAMS实测数据的电力系统仿真致差区域识别方法  被引量:4

Recognition method of power system simulation error area based on WAMS measured data

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作  者:姜赫 安军 李德鑫 刘座铭[2]  JIANG He;AN Jun;LI Dexin;LIU Zuoming;无(NARI Technology Co.,Ltd.,Nanjing 211106,China;Key Laboratory of Modern Power System Simulation and Control&Renewable Energy Technology,Ministry of Education,Northeast Electric Power University,Jilin 132012,China;Electric Power Research Institute of State Grid Jilin Electric Power Co.,Ltd.,Changchun130021,China)

机构地区:[1]国电南瑞科技股份有限公司,江苏南京211106 [2]东北电力大学现代电力系统仿真控制与绿色电能新技术教育部重点实验室,吉林吉林132012 [3]国网吉林省电力有限公司电力科学研究院,吉林长春130021

出  处:《电力系统保护与控制》2021年第4期96-103,共8页Power System Protection and Control

基  金:国家重点研发计划项目资助(2018YFB0904500);国家电网有限公司总部科技项目资助(18-GW-05)。

摘  要:针对大电网仿真致差区域定位难的问题,给出了一种基于扰动深度和最小生成树的致差区域识别方法。该方法基于实测数据计算扰动深度指标,设定相应的阈值,解耦去除扰动小的区域,将剩余网络抽象为无向图,以仿真可信度指标作为线路的权值,求取电网的最小生成树及其树枝对应最优割集。在最优割集处注入实测数据进行混合仿真,通过多次迭代压缩,最终达到识别出致差区域的目的。通过IEEE_(10)机39节点系统验证了所提方法的有效性。研究内容能有效降低动态仿真验证的代价,为下一步分块解耦以及模型参数校正提供重要的指导。Given the problem of difficult localization of the error area on a large-scale power grid simulation, an error area identification method based on disturbance depth and minimum spanning tree is proposed. This method calculates the disturbance depth index based on the measured data, sets the corresponding threshold value, decouples and removes the small disturbance area, abstracts the remaining network as an undirected graph, and uses the simulation credibility index as the weight of the line to obtain the minimum power grid. The spanning tree and its branches correspond to the optimal cut set. The measured data is injected at the optimal cut set for hybrid simulation. Through multiple iterations of compression, identifying the error area is finally achieved. The effectiveness of the proposed method is verified by the IEEE10 machine 39-node system. The method can effectively reduce the cost of dynamic simulation verification, and provide important guidance for the next step of block decoupling and model parameter correction.

关 键 词:动态仿真 WAMS 最小生成树 致差区域 

分 类 号:TM743[电气工程—电力系统及自动化]

 

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