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作 者:林勇 李峰[2] LIN Yong;LI Feng(Jiangsu Electric Power Information Technology Co.,Ltd.,Nanjing 210000,China;School of Artificial Intelligence,Nanjing University of Science and Technology,Nanjing 210094,China)
机构地区:[1]江苏电力信息技术有限公司,江苏南京210000 [2]南京理工大学,人工智能学院,江苏南京210094
出 处:《微型电脑应用》2025年第1期217-220,共4页Microcomputer Applications
摘 要:为了提高电力系统振荡下动态相量和频率的估计精度,优化电力系统存在振荡情况下的信号模型,构建一种由幅值调制与相角调制参数构成的混合调制(HM)模型。对信号采用泰勒级数展开计算实现线性化转换过程,设计相应的实验来实现振荡信号与频率线性变化条件下的算法性能验证。研究结果表明,提高幅值与相角调制系数时形成了更大的误差,TVE都在3×10^(-4)%以内,满足标准测试要求。设置噪声信号后形成了更明显的测试误差,TVE都在0.06%以内,比标准3%更小,同时频率变化率误差低于15 Hz/s。故障信号测试发现,采用所提算法经过1.2 s振荡后形成的幅值估计曲线未出现明显波动,表现为更光滑的特点。In order to improve the estimation accuracy of dynamic phasor and frequency under power system oscillation,the signal model power system with oscillation is optimized,and a hybrid modulation(HM)model consisting of amplitude modulation and phase angle modulation parameters is constructed.The Taylor series expansion calculation is carried out to realize the linearization conversion process,and the corresponding experiments are designed to realize the performance verification of the algorithm under the condition that the oscillating signal and frequency change linearly.The results show that when the amplitude and phase angle modulation parameters are increased,greater errors are formed,and the TVE is within 3×10^(-4)%,which meets the standard test requirements.After setting the noise signal,the test error is more obvious,the TVE is less than 0.06%,which is smaller than the standard 3%,and the frequency change rate error is less than 15 Hz/s.The fault signal test shows that the amplitude estimation curve formed by the proposed algorithm after 1.2 s of oscillation does not fluctuate significantly,showing a smoother character.
关 键 词:电力系统 振荡 混合调制模型 动态相量 频率 故障信号
分 类 号:TM76[电气工程—电力系统及自动化]
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