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机构地区:[1]河海大学能源与电气学院可再生能源发电技术教育部工程研究中心,南京210098 [2]国网河南省电力公司电力调度控制中心,郑州450052
出 处:《电力系统及其自动化学报》2015年第6期37-42,共6页Proceedings of the CSU-EPSA
基 金:国家自然科学基金资助项目(51377046);国家高技术研究发展计划(863计划)(2011AA05A103);国家电网公司大电网重大专项资助项目课题(SGCC-MPLG001(001-031)-2012)
摘 要:电铁牵引负荷具有较强的随机波动性和冲击性,为了分析其对局部电网的影响,需要建立合适的电铁牵引负荷功率模型。根据电铁牵引负荷的波动特性,基于波形分解与小波变换,将牵引功率的波动分解为阶跃分量、低频缓坡分量与高频随机分量。对阶跃分量用阶跃序列建模,对低频分量和高频分量用ARMA模型建模。进一步通过再合成,建立了一种基于时间序列的功率模型,能够反映牵引负荷的随机波动性和冲击性。最后采用现场数据进行应用,结果表明,该方法能够很好地拟合实际功率波动曲线,验证了该方法的可行性和有效性。Traction load possesses strong fluctuation and impact on local power grid,and it is important to construct the power model of traction load accurately. Initially,according to the characteristics of traction load,measurement data can be decomposed into three components,which are steps,low frequency ramps and high frequency impulses with waveform decomposing and wavelet transform theory. Then,the steps are represented by the model of step series,the low frequency ramps and high frequency impulses are represented by ARMA models respectively. Furthermore,three component models can be composed together and data series which reflects the character of traction load can be reproduced. Finally,a case with data of measurement is tested. It is manifested that the curve of power fluctuation can be fitted perfectly compared with original data,and the fitting accuracy of this method is better than that just of ARMA method.
分 类 号:TM714[电气工程—电力系统及自动化]
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