引用本文:刘征帆,安军,蒋振国,李德鑫,刘座铭.基于轨迹灵敏度频域特征提取的电力系统仿真误差主导参数识别[J].电力自动化设备,2021,41(3):
LIU Zhengfan,AN Jun,JIANG Zhenguo,LI Dexin,LIU Zuoming.Dominant parameter identification of power system simulation error based on frequency domain characteristic extraction of trajectory sensitivity[J].Electric Power Automation Equipment,2021,41(3):
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基于轨迹灵敏度频域特征提取的电力系统仿真误差主导参数识别
刘征帆1, 安军1, 蒋振国1, 李德鑫2, 刘座铭2
1.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;2.国网吉林省电力有限公司电力科学研究院,吉林 长春 130021
摘要:
电力系统动态仿真中主导参数的准确识别是进行仿真验证的前提,传统方法通过比较各参数的轨迹灵敏度时域特征大小确定主导参数。对此,提出了一种基于轨迹灵敏度频域特征提取的电力系统仿真误差主导参数识别方法。通过分析仿真误差曲线的频域特征,提取误差敏感频点;建立评估参数对轨迹灵敏度频域影响的特征指标,通过指标分析各参数轨迹灵敏度在敏感频点处的频域特性,进而得到仿真误差的主导参数集。采用WSCC 3机9节点系统验证了所提方法的有效性,结果表明所提方法弥补了从时域角度提取轨迹灵敏度信息不充分的不足,可为电力系统仿真验证提供理论支持。
关键词:  电力系统  动态仿真  主导参数  轨迹灵敏度  频域分析
DOI:10.16081/j.epae.202101015
分类号:TM743
基金项目:国家重点研发计划项目(2018YFB0904500);国家电网有限公司总部科技项目(18-GW-05)
Dominant parameter identification of power system simulation error based on frequency domain characteristic extraction of trajectory sensitivity
LIU Zhengfan1, AN Jun1, JIANG Zhenguo1, LI Dexin2, LIU Zuoming2
1.Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology, Ministry of Education, Northeast Electric Power University, Jilin 132012, China;2.Electric Power Research Institute of State Grid Jilin Electric Power Supply Co.,Ltd.,Changchun 130021, China
Abstract:
Accurate identification of dominant parameters in the dynamic simulation of power systems is the prerequisite for simulation validation. Traditionally, the comparison of time domain characteristics of trajectory sensitivity for parameters is used to confirm dominant parameters. So a method for dominant parameter identification of power system simulation errors based on frequency domain characteristic extraction of trajectory sensitivity is proposed. The sensitive frequency points are extracted by analyzing frequency domain characteristics of curves for simulation errors. The characteristic indicators to depict the influence of evaluation parameters on the frequency domain of trajectory sensitivity are established, and the indicators are used to analyze the frequency domain characteristics of trajectory sensitivity for parameters at sensitive frequency points. Then, the dominant parameter sets of simulation errors are acquired. The effectiveness of the proposed method is validated with a WSCC 3-machine 9-bus system. The results show that the proposed method makes up the deficiency of insufficient utilization of trajectory sensitivity information from aspect of time domain, and can provide theoretical support for simulation validation in power systems.
Key words:  electric power systems  dynamic simulation  dominant parameters  trajectory sensitivity  frequency domain analysis

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