文章摘要
蔡云峰,汤飞,吕洋,等.一种适用于配电网的同步相量测量改进算法[J].电力系统自动化. DOI: 10.7500/AEPS20190220003.
CAI Yunfeng,TANG Fei,LYU Yang, et al.An improved Algorithm of Synchronous Phase Measurement for Distribution Network[J].Automation of Electric Power Systems. DOI: 10.7500/AEPS20190220003.
一种适用于配电网的同步相量测量改进算法
An improved Algorithm of Synchronous Phase Measurement for Distribution Network
DOI:10.7500/AEPS20190220003
关键词: 相量测量算法  相量测量单元  曲线拟合  数字滤波器  
KeyWords: phasor measurement algorithm  PMU  curve fitting  digital filter
上网日期:2019-05-10
基金项目:
作者单位E-mail
蔡云峰 国网江苏省电力有限公司苏州供电分公司 dong_xiaofeng@qq.com 
汤飞 中电普瑞电力工程有限公司 tangf@sgepri.sgcc.com.cn 
吕洋 国网江苏省电力有限公司苏州供电分公司 dong_xiaofeng@qq.com 
黄建元 国网江苏省电力有限公司苏州供电分公司 dong_xiaofeng@qq.com 
李倩 中电普瑞电力工程有限公司 li_qian@sgepri.sgcc.com.cn 
杨晨 国网江苏省电力有限公司苏州供电分公司 dong_xiaofeng@qq.com 
摘要:
      大量分布式能源的接入,配电网的动态特性日趋复杂,配电网运行管理从被动式走向主动式,同步相量测量技术在配电网的应用成为了一种趋势。本文针对常规的同步相量算法主要适用于输电网应用,对常规算法在配电网的应用进行分析,根据误差产生的原因,提出了一种对误差曲线利用三角函数多项式进行最小二乘法拟合的新算法。文章对具体的算法实现过程进行阐述,对算法在动态变化、谐波干扰的情况下进行仿真验证;根据这些仿真验证结果,可以看到该算法在各种条件下测量精度得到了很大提升。#$NL关键词:相量测量算法;相量测量单元;曲线拟合;数字滤波器;
Abstract:
      A large number of distributed energy access, increasingly complex dynamic characteristics of distribution network, distribution network operation management from passive to active, and the application of synchronous phasor measurement technology in distribution network has become a trend. This article in view of the conventional synchronous phasor algorithm is mainly suitable for high voltage transmission network, the application of conventional algorithm in high voltage transmission network is analyzed, according to the reasons of the error, puts forward an improved algorithm which fits the error curve using trigonometric polynomial according to the least squares principle. The paper elaborates the improved algorithm implementation process and simulation verification of the improved algorithm is performed under the condition of the dynamic and static conditions, harmonic interference. According to these simulation results, the calculation accuracy of improved algorithm is improved greatly under various conditions.
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