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1.新疆大学电气工程学院,新疆维吾尔自治区乌鲁木齐市 830047
2.福州大学电气工程与自动化学院,福建省福州市 350116
3.南京工程学院自动化学院,江苏省南京市 211167
张建鑫(1994—),男,硕士研究生,主要研究方向:电力电子及电能质量检测控制。E-mail:2927918393@qq.com
谢丽蓉(1969—),女,通信作者,教授,博士生导师,主要研究方向:控制系统优化、新能源发电。E-mail:541391018@qq.com
杜立伟(1994—),男,博士研究生,主要研究方向:新能源发电及电能质量检测控制。E-mail:1205977155@qq.com
收稿日期:2020-09-25,
修回日期:2021-03-01,
网络出版日期:2021-05-13,
纸质出版日期:2021-07-25
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张建鑫,谢丽蓉,杜立伟等.计及衰减直流分量的基频电压半周期检测[J].电力系统自动化,2021,45(14):158-164.
ZHANG Jianxin,XIE Lirong,DU Liwei,et al.Half-cycle Detection for Fundamental-frequency Voltage Considering Decaying DC Component[J].Automation of Electric Power Systems,2021,45(14):158-164.
张建鑫,谢丽蓉,杜立伟等.计及衰减直流分量的基频电压半周期检测[J].电力系统自动化,2021,45(14):158-164. DOI: 10.7500/AEPS20200925009.
ZHANG Jianxin,XIE Lirong,DU Liwei,et al.Half-cycle Detection for Fundamental-frequency Voltage Considering Decaying DC Component[J].Automation of Electric Power Systems,2021,45(14):158-164. DOI: 10.7500/AEPS20200925009.
衰减直流(DDC)分量、高次谐波等干扰信号的存在,使得对电网畸变信号中基频分量的幅值、相位检测存在一定误差,其中DDC分量的时间常数通常超过45 ms,持续时间较长。为此,文中首先针对畸变信号中DDC分量提出一种半周期四点采样检测算法,缩短了DDC分量的检测响应时间。其次,针对同时含有DDC分量与高次谐波的畸变信号,提出将畸变信号进行半周期积分后,在
dq
坐标系下将上述DDC分量检测算法与高次谐波检测算法进行组合,在工频半周期中可同时滤除干扰信号的影响,准确检测到畸变信号中的基频分量。最后,搭建了MATLAB/Simulink半实物实时仿真模型,从检测精度、响应时间等方面验证了所提算法的有效性。
The existence of interference signals
such as decaying direct current (DDC) components and high-order harmonics
makes certain errors in detecting the amplitudes and phases of fundamental frequency component in the distortion signals of the power grid. The time constant of the DDC component usually exceeds 45 ms
and its duration is long. To solve this problem
this paper proposes a half-cycle four-point sampling detection algorithm for DDC components in distorted signals. The proposed algorithm can greatly shorten the detection response time for the DDC component. For the distorted signals that contain both DDC components and high-order harmonics
the above DDC component detection algorithm is combined with the high-order harmonic detection algorithm in the
dq
coordinate system after the half-cycle integration of the distorted signals. The influence of interference signal can be filtered out at the same time in a half-cycle of the power frequency
and the fundamental-frequency component in the distorted signal can be detected accurately. Finally
a semi-physical real-time simulation model in MATLAB/Simulink is built to verify the effectiveness of the proposed algorithm in terms of detection accuracy and response time.
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