文章摘要
基于多新息最小二乘算法的电力线路参数辨识
Power Line Parameter Identification Based on Multi-innovation Least Square Algorithm
投稿时间:2019-11-08  修订日期:2019-11-27
DOI:
中文关键词: 电力线路  参数辨识  多新息最小二乘算法  数据采集与监控系统
英文关键词: Power Line  Parameter Identification  MILS  SCADA
基金项目:国家重点研发计划项目
作者单位E-mail
原康康 河海大学 503478066@qq.com 
卫志农 河海大学  
段方维 国网辽宁省电力有限公司电力科学研究院  
刘芮彤 国网辽宁省电力有限公司电力科学研究院  
徐伟 国网电力科学研究院  
严明辉 国网电力科学研究院  
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中文摘要:
      随着电力系统的建设和发展,电网结构日益复杂,由于线路长期运行、周围环境变化等原因导致原有的线路参数模型与实际线路参数存在偏差,从而影响电力系统的实时监控和优化运行。考虑到电力系统输电线路中的数据采集与监控系统(SCADA)量测充足,本文提出基于多新息最小二乘算法的线路参数辨识模型,以期实现全网线路的准确辨识和校正。本文首先利用RTDS平台搭建IEEE39节点电力系统仿真模型,从而获得潮流运行数据;然后在Matlab环境下进行参数辨识,将辨识结果与RTDS平台中的线路参数进行对比分析。结果表明,基于多新息最小二乘算法的参数辨识结果具有较高估计精度,可作为电力系统可疑线路判断依据。
英文摘要:
      With the construction and development of power system, the structure of power grid is becoming more and more complex. Due to the long-term operation of power lines and changes in the surrounding environment, there are deviations between the original line parameters model and the actual line parameters, which affect the real-time monitoring and optimal operation of power system. Considering the sufficient measurement of data acquisition and monitoring system (SCADA) in power system transmission lines, this paper presents a line parameter identification model based on multi-innovation least squares algorithm in order to achieve accurate identification and correction of the whole network lines. In this paper, IEEE39-bus power system simulation model is built on RTDS platform to obtain power flow operation data; then, parameter identification is carried out in Atlab environment, and the identification results are compared with the line parameters in RTDS platform. The results show that the parameters identification results based on multi-innovation least squares algorithm have high estimation accuracy, and can be used as the basis for judging suspicious lines in power system.
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