WO2015196744A1 - 用于主动配电网的信号处理方法和装置 - Google Patents

用于主动配电网的信号处理方法和装置 Download PDF

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Publication number
WO2015196744A1
WO2015196744A1 PCT/CN2014/093196 CN2014093196W WO2015196744A1 WO 2015196744 A1 WO2015196744 A1 WO 2015196744A1 CN 2014093196 W CN2014093196 W CN 2014093196W WO 2015196744 A1 WO2015196744 A1 WO 2015196744A1
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Prior art keywords
signal
data signal
data
subtraction
grid noise
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English (en)
French (fr)
Inventor
舒彬
张凯
周彤
李伟
李雪男
马雪峰
吴振升
麻秀范
尹璐
张健
王毅轩
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China Power High Technology (beijing) Sci&tech Ltd
North China Electric Power University
State Grid Beijing Electric Power Co Ltd
Economic and Technological Research Institute of State Grid Beijing Electric Power Co Ltd
State Grid Corp of China SGCC
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China Power High Technology (beijing) Sci&tech Ltd
North China Electric Power University
State Grid Beijing Electric Power Co Ltd
Economic and Technological Research Institute of State Grid Beijing Electric Power Co Ltd
State Grid Corp of China SGCC
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Publication of WO2015196744A1 publication Critical patent/WO2015196744A1/zh
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B3/00—Line transmission systems
    • H04B3/54—Systems for transmission via power distribution lines

Definitions

  • the present invention relates to the field of power communications, and in particular to a signal processing method and apparatus for an active distribution network.
  • the active distribution network In the active distribution network, a large amount of distributed energy needs to be remotely monitored and centrally managed, so that the power system is more stable and the energy saving effect is better.
  • the distributed power supply in the active distribution network needs to measure its electrical parameters, so that the active distribution network control system can properly configure the distributed power supply and energy storage equipment to improve the stability of the power system and increase the new energy.
  • the purpose of using, reducing line loss and energy saving and emission reduction shows that the appropriate information transmission means is an important part of the active distribution network optimization operation management.
  • the active distribution network here refers to a power distribution system with flexible structure that can be actively controlled and actively managed.
  • the main means of active distribution network monitoring information transmission are: optical fiber communication, public wireless network communication, self-built dedicated wireless network communication, power line carrier communication, power line power frequency communication and other means.
  • the optical fiber communication mode has a high communication rate and excellent communication performance, but it is required to lay out the optical fiber line and monitor the node in a large number of active distribution networks, and the maintenance cost of the equipment and the line is too high to bear.
  • the wireless network mode is limited by geographical limitations, but there are also signal blind spots affecting the transmission of monitoring data.
  • the initial investment of the public wireless network is small, but the long-term payment of communication service costs is required, and the information security is not guaranteed. Large, and the power sector itself has difficulty in running and maintaining the network.
  • the power line is used as the medium to transmit the monitoring information of the active distribution network, which has the advantages of small investment, no need to lay communication lines, no service cost, and strong flexibility.
  • power line communication mainly includes power line carrier communication (PLC) and power line power frequency communication (TWACS).
  • PLC power line carrier communication
  • TWACS power line power frequency communication
  • power line carrier communication can only be transmitted at the same voltage level
  • medium voltage power line carrier communication has the disadvantages of expensive equipment and poor performance.
  • Power line power frequency communication realizes data transmission by superimposing tiny distortion signals on voltage and current. Since low frequency power frequency distortion signals can pass through transformers, power line power frequency communication technology has the unique advantage of being able to communicate over long distances across distribution transformers. However, due to the large number of power electronic devices in the active distribution network, these power electronic devices generate noise interference to power line power frequency communication, which reduces the quality of data transmission, and is prone to error when demodulating the received data.
  • a main object of the embodiments of the present invention is to provide a signal processing method and apparatus for an active distribution network to solve the problem that error is easily caused when demodulating received data.
  • a signal processing method for an active distribution network includes: receiving a data signal transmitted by a power line power frequency communication in an active distribution network; performing differential processing on the data signal to obtain grid noise; Calculating a subtraction signal by using the data signal and the grid noise; acquiring a reference signal corresponding to the data signal pre-established by using a Gaussian window function; and calculating the subtraction signal and the reference in a case where the signal modulation time domain is determined Cross-correlation output of the signal to obtain a calculation result; and demodulating the data signal by using the calculation result.
  • the signal processing method includes: establishing an initial signal identical to the waveform of the data signal; generating the reference by adopting the following formula signal:
  • g(t) represents the reference signal
  • v(t) represents the initial signal
  • h(t) represents the Gaussian window function
  • h(t) exp(-bt 2 )
  • b is a coefficient
  • calculating the subtraction signal according to the data signal and the grid noise includes: acquiring the initial signal; determining an amplitude attenuation coefficient of the data signal; from the data signal, the grid noise, the initial The signal and the amplitude attenuation are calculated to obtain the subtraction signal.
  • calculating the subtraction signal by the data signal, the grid noise, the initial signal, and the amplitude attenuation system comprises: calculating the subtraction signal by using the following formula:
  • y(t) represents the subtraction signal
  • f(t) represents the data signal
  • ⁇ represents the amplitude attenuation system
  • v(t) represents the initial signal
  • n(t) represents the grid noise .
  • the data signal is a voltage distortion signal
  • performing differential processing on the data signal to obtain grid noise includes: processing the voltage distortion signal by using a time domain differential technique to obtain a differential grid noise.
  • a signal processing apparatus for an active distribution network includes: a receiving unit configured to receive a data signal transmitted by a power line power frequency communication in an active distribution network; and a processing unit configured to perform the data signal Differential processing to obtain grid noise; a first calculating unit configured to calculate a subtraction signal according to the data signal and the grid noise; and an acquiring unit configured to acquire a pre-established corresponding to the data signal by using a Gaussian window function a second calculation unit, in a case where the signal modulation time domain is determined, calculating a cross-correlation output of the subtraction signal and the reference signal to obtain a calculation result; and a demodulation unit configured to use the calculation result pair
  • the data signal is subjected to demodulation processing.
  • the signal processing apparatus includes: an establishing unit configured to establish an initial signal identical to the waveform of the data signal before acquiring a reference signal corresponding to the data signal pre-established by using a Gaussian window function; Set to generate the reference signal by using the following formula:
  • g(t) represents the reference signal
  • v(t) represents the initial signal
  • h(t) represents the Gaussian window function
  • h(t) exp(-bt 2 )
  • b is a coefficient
  • an output unit configured to output a generated reference signal.
  • the first calculating unit includes: an obtaining module configured to acquire the initial signal; a determining module configured to determine an amplitude attenuation coefficient of the data signal; and a calculating module configured to be configured by the data signal, The grid noise, the initial signal, and the amplitude attenuation are calculated to obtain the subtraction signal.
  • calculation module includes: a calculation submodule configured to calculate the subtraction signal by the following formula:
  • y(t) represents the subtraction signal
  • f(t) represents the data signal
  • ⁇ represents the amplitude attenuation system
  • v(t) represents the initial signal
  • n(t) represents the grid noise .
  • the data signal is a voltage distortion signal
  • the processing unit comprises: a processing module configured to process the voltage distortion signal by using a time domain differential technique to obtain a differential grid noise.
  • the data signal transmitted by the power line power frequency communication in the active distribution network is received; the data signal is differentially processed to obtain the grid noise; the subtraction signal is calculated according to the data signal and the grid noise; and the Gaussian window is obtained by using the Gaussian window.
  • the function pre-establishes a reference signal corresponding to the data signal; in the case of determining the signal modulation time domain, calculating a cross-correlation output of the subtraction signal and the reference signal to obtain a calculation result; and demodulating the data signal by using the calculation result.
  • the Gaussian window function is added, which makes the cross-correlation operation more effective in suppressing high-frequency interference, and solves the problem that the received data is prone to error when demodulating, and achieves effective suppression of high-frequency interference. effect.
  • FIG. 1 is a flow chart of a signal processing method for an active distribution network according to an embodiment of the present invention
  • FIG. 2 is an alternative schematic diagram of a signal processing apparatus for an active distribution network in accordance with an embodiment of the present invention
  • FIG. 3 is another alternative schematic diagram of a signal processing apparatus for an active distribution network in accordance with an embodiment of the present invention.
  • Embodiments of the present invention provide a signal processing method for an active distribution network.
  • FIG. 1 is a flow chart of a signal processing method for an active distribution network in accordance with an embodiment of the present invention. As shown in FIG. 1, the signal processing method includes the following steps:
  • Step S102 Receive a data signal transmitted by the power line power frequency communication in the active distribution network.
  • the data signal may be a distortion signal containing data information, and the information is carried by using the micro-distortion of the voltage or current of the active distribution network to realize communication. Since the data signal is transmitted in the power grid, there are a large number of power electronic devices in the active distribution network, which will inevitably generate strong noise interference.
  • the data signal including the power grid noise is first received, so as to be in the data. The signal is processed before demodulation.
  • step S104 the data signal is differentially processed to obtain grid noise.
  • the received data is differentially processed, and optionally, the time domain differential technique can be used to obtain the differential grid noise.
  • Step S106 calculating a subtraction signal according to the data signal and the grid noise.
  • Step S108 acquiring a reference signal corresponding to the data signal that is pre-established by using a Gaussian window function.
  • the subtraction signal may be a subtraction signal for cross-correlation calculation with a reference signal, wherein the reference signal may be a reference signal that is approached by a pre-established distortion signal with data information.
  • the adjacent two periodic waveforms are made to be different, and the front and rear period subtraction signals are obtained, and the reference signal is used as a reference signal, so that the calculated subtraction signal and the reference signal are correlated and processed.
  • the data signal of the embodiment of the present invention is a voltage distortion signal
  • the differential processing of the data signal to obtain the power grid noise comprises: processing the voltage distortion signal by using a time domain differential technique to obtain a differential grid noise.
  • the signal processing method comprises: establishing an initial signal identical to the waveform of the data signal; generating the reference signal by using the following formula:
  • g(t) represents the reference signal
  • v(t) represents the initial signal
  • h(t) represents the Gaussian window function
  • h(t) exp(-bt 2 ), where b is the coefficient.
  • the generated reference signal is output.
  • the newly constructed reference signal is:
  • the newly constructed reference signal is output as a reference signal corresponding to the data signal, so that when the cross-correlation output is calculated, the newly constructed reference signal is used for calculation.
  • Step S110 in the case of determining the signal modulation time domain, calculating a cross-correlation output of the subtraction signal and the reference signal, and obtaining a calculation result.
  • Step S112 the data signal is demodulated by the calculation result.
  • the distributed energy source since the active distribution network contains a large amount of distributed energy, the distributed energy source also contains equipment such as an inverter, which causes strong harmonic interference, which seriously affects the result of the cross-correlation operation and causes errors. code.
  • the embodiment of the present invention simultaneously implements a high-performance low-pass filtering receiving method in the cross-correlation operation, and adds a Gaussian window function when constructing the reference signal, so that the cross-correlation operation can more effectively suppress the high-frequency interference and solve the problem.
  • the problem that it is easy to make a mistake when demodulating the received data achieves the effect of effectively suppressing high-frequency interference.
  • calculating the subtraction signal according to the data signal and the grid noise comprises: acquiring an initial signal; determining an amplitude attenuation coefficient of the data signal; and calculating the subtraction signal by the data signal, the grid noise, the initial signal, and the amplitude attenuation system.
  • the initial signal which is an initial reference signal close to the distortion signal, acquires an initial signal and determines its waveform parameters for calculating the subtraction signal by a time domain differential technique. Based on the mathematical relationship between the data signal, the grid noise, the initial signal and the amplitude attenuation system, the front and back period subtraction signals of the adjacent two periods are calculated as the basis of the cross-correlation calculation of the data signal.
  • calculating the subtraction signal by the data signal, the grid noise, the initial signal, and the amplitude attenuation system comprises: calculating the subtraction signal by using the following formula:
  • y(t) represents the subtraction signal
  • f(t) represents the data signal
  • ⁇ represents the amplitude attenuation system
  • v(t) represents the initial signal
  • n(t) represents the grid noise
  • f(t) is the downlink data information
  • n(t) represents the difference of the grid noise
  • ⁇ represents the amplitude attenuation of the distortion signal
  • the front and rear periodic voltage subtraction signal y(t) is calculated by the above formula.
  • a reference signal v(t) close to the voltage distortion signal is established, and the Gaussian window function is:
  • the newly constructed reference signal is:
  • f(t) be the downlink data information
  • n(t) be the difference of the grid noise
  • ⁇ be the amplitude attenuation coefficient of the distortion signal.
  • the direction of the distortion signal depends on the data information.
  • K is the received amplitude coefficient.
  • y(t) and reference The cross-correlation output of the signal g(t) is:
  • the cross-correlation output has both the relevant part of the grid noise and the reference modulation signal, and the autocorrelation part of the modulated signal, compared with the direct use of v(t) as the reference signal, due to the high frequency noise interference in the active distribution network. Strong, After adding the Gaussian window function, the correlation between the grid noise and the reference modulation signal in the cross-correlation output can be greatly suppressed, so that the autocorrelation part of the modulated signal can be prominently highlighted, and the anti-interference performance of the downlink communication is effectively improved.
  • the embodiment of the invention also provides a signal processing device for an active distribution network.
  • the device can perform its functions through a computer device.
  • the signal processing apparatus for the active distribution network in the embodiment of the present invention may be used to perform the signal processing method for the active distribution network provided by the embodiment of the present invention.
  • the signal processing method of the distribution network can also be performed by the signal processing apparatus for the active distribution network provided by the embodiment of the present invention.
  • the signal processing apparatus includes a receiving unit 10, a processing unit 20, a first calculating unit 30, an obtaining unit 40, a second calculating unit 50, and a demodulating unit 60.
  • the receiving unit 10 is arranged to receive data signals transmitted by the power line power frequency communication in the active distribution network.
  • the data signal may be a distortion signal containing data information, and the information is carried by using the micro-distortion of the voltage or current of the active distribution network to realize communication. Since the data signal is transmitted in the power grid, there are a large number of power electronic devices in the active distribution network, which will inevitably generate strong noise interference.
  • the data signal including the power grid noise is first received, so as to be in the data. The signal is processed before demodulation.
  • the processing unit 20 is arranged to differentially process the data signals to obtain grid noise.
  • the received data is differentially processed, and optionally, the time domain differential technique can be used to obtain the differential grid noise.
  • the first calculation unit 30 is arranged to calculate a subtraction signal based on the data signal and the grid noise.
  • the obtaining unit 40 is configured to acquire a reference signal corresponding to the data signal that is pre-established using a Gaussian window function.
  • the subtraction signal may be a subtraction signal for cross-correlation calculation with a reference signal, wherein the reference signal may be a reference signal that is approached by a pre-established distortion signal with data information.
  • the adjacent two periodic waveforms are made to be different, and the front and rear period subtraction signals are obtained, and the reference signal is used as a reference signal, so that the calculated subtraction signal and the reference signal are correlated and processed.
  • the second calculating unit 50 calculates the cross-correlation output of the subtraction signal and the reference signal in the case of the signal modulation time domain determination, and obtains the calculation result.
  • the demodulation unit 60 is arranged to perform demodulation processing on the data signal using the calculation result.
  • the distributed energy source since the active distribution network contains a large amount of distributed energy, the distributed energy source also contains equipment such as an inverter, which causes strong harmonic interference, which seriously affects the result of the cross-correlation operation and causes errors. code.
  • the embodiment of the present invention simultaneously implements a high-performance low-pass filtering receiving method in the cross-correlation operation, and adds a Gaussian window function when constructing the reference signal, so that the cross-correlation operation can more effectively suppress the high-frequency interference and solve the problem.
  • the problem that it is easy to make a mistake when demodulating the received data achieves the effect of effectively suppressing high-frequency interference.
  • the signal processing apparatus includes an establishing unit 70, a generating unit 80, and an output unit 90.
  • the establishing unit 70 is arranged to establish an initial signal identical to the waveform of the data signal before acquiring the reference signal corresponding to the data signal pre-established using the Gaussian window function;
  • the generating unit 80 is arranged to generate the reference signal by using the following formula:
  • g(t) represents the reference signal
  • v(t) represents the initial signal
  • h(t) represents the Gaussian window function
  • h(t) exp(-bt 2 ), where b is the coefficient.
  • the output unit 90 is arranged to output the generated reference signal after the reference signal is produced.
  • the newly constructed reference signal is:
  • the newly constructed reference signal is output as a reference signal corresponding to the data signal, so that when the cross-correlation output is calculated, the newly constructed reference signal is used for calculation.
  • the first calculating unit comprises: an obtaining module configured to acquire an initial signal; a determining module configured to determine an amplitude attenuation coefficient of the data signal; and a calculating module configured to be configured by the data signal, the grid noise, the initial signal, and the amplitude attenuation system The subtraction signal is calculated.
  • the initial signal which is an initial reference signal close to the distortion signal, acquires an initial signal and determines its waveform parameters for calculating the subtraction signal by a time domain differential technique. Based on data signals, grid noise, initial signal and amplitude attenuation The mathematical relationship between the subtraction systems is calculated to obtain the front and back period subtraction signals of the adjacent two periods as the basis for the cross-correlation calculation of the data signals.
  • the calculation module includes: a calculation submodule configured to calculate the subtraction signal by using the following formula:
  • y(t) represents the subtraction signal
  • f(t) represents the data signal
  • ⁇ represents the amplitude attenuation system
  • v(t) represents the initial signal
  • n(t) represents the grid noise
  • a reference signal v(t) close to the voltage distortion signal is established, and the Gaussian window function is:
  • the newly constructed reference signal is:
  • f(t) be the downlink data information
  • n(t) be the difference of the grid noise
  • ⁇ be the amplitude attenuation coefficient of the distortion signal.
  • the direction of the distortion signal depends on the data information.
  • K is the received amplitude coefficient.
  • y(t) and reference The cross-correlation output of the signal g(t) is:
  • the cross-correlation output has both the relevant part of the grid noise and the reference modulation signal, and the autocorrelation part of the modulated signal, compared with the direct use of v(t) as the reference signal, due to the high frequency noise interference in the active distribution network. Strongly, after adding the Gaussian window function, the correlation between the grid noise and the reference modulation signal in the cross-correlation output can be greatly suppressed, so that the autocorrelation part of the modulated signal can be prominently highlighted, and the anti-interference performance of the downlink communication is effectively improved.
  • the data signal of the embodiment of the invention is a voltage distortion signal
  • the processing unit comprises: a processing module configured to process the voltage distortion signal by using a time domain differential technique to obtain a differential grid noise.
  • the disclosed apparatus may be implemented in other ways.
  • the device embodiments described above are merely illustrative.
  • the division of the unit is only a logical function division.
  • there may be another division manner for example, multiple units or components may be combined or may be Integrate into another system, or some features can be ignored or not executed.
  • the mutual coupling or direct coupling or communication connection shown or discussed may be an indirect coupling or communication connection through some interface, device or unit, and may be electrical or otherwise.
  • the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, may be located in one place, or may be distributed to multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of the embodiment.
  • each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.
  • the above integrated unit can be implemented in the form of hardware or in the form of a software functional unit.
  • the integrated unit if implemented in the form of a software functional unit and sold or used as a standalone product, may be stored in a computer readable storage medium.
  • the technical solution of the present invention which is essential or contributes to the prior art, or all or part of the technical solution, may be embodied in the form of a software product stored in a storage medium.
  • a number of instructions are included to cause a computer device (which may be a personal computer, mobile terminal, server or network device, etc.) to perform all or part of the steps of the methods described in various embodiments of the present invention.
  • the foregoing storage medium includes: a U disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic disk, or an optical disk, and the like. .
  • the data signal transmitted by the power line power frequency communication in the active distribution network is received; the data signal is differentially processed to obtain the grid noise; the subtraction signal is calculated according to the data signal and the grid noise; and the Gaussian window is obtained by using the Gaussian window.
  • the function pre-establishes a reference signal corresponding to the data signal; in the case of determining the signal modulation time domain, calculating a cross-correlation output of the subtraction signal and the reference signal to obtain a calculation result; and demodulating the data signal by using the calculation result.
  • the Gaussian window function is added, which makes the cross-correlation operation more effective in suppressing high-frequency interference, and solves the problem that the active distribution network is prone to error when demodulating the received data, and achieves effective suppression.
  • the effect of high frequency interference is a Gaussian window function added, which makes the cross-correlation operation more effective in suppressing high-frequency interference, and solves the problem that the active distribution network is prone to error when demodulating the received data, and achieves effective suppression.

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  • Engineering & Computer Science (AREA)
  • Power Engineering (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Noise Elimination (AREA)
  • Cable Transmission Systems, Equalization Of Radio And Reduction Of Echo (AREA)

Abstract

本发明实施例公开了一种用于主动配电网的信号处理方法和装置。其中，用于主动配电网的信号处理方法包括：接收主动配电网中通过电力线工频通信传输的数据信号；对所述数据信号进行差分处理，得到电网噪声；根据所述数据信号和所述电网噪声计算得到减差信号；获取采用高斯窗函数预先建立的与所述数据信号对应的参考信号；在信号调制时域确定情况下，计算所述减差信号与所述参考信号的互相关输出，得到计算结果；以及利用所述计算结果对所述数据信号进行解调处理。通过本发明实施例，解决了对接收到的数据进行解调时容易出错的问题，达到了有效抑制高频干扰的效果。

Description

用于主动配电网的信号处理方法和装置 技术领域
本发明涉及电力通信领域，具体而言，涉及一种用于主动配电网的信号处理方法和装置。
背景技术
在主动配电网中，大量的分布式能源需要进行远程监控，集中管理，以使电力系统更稳定，节能效果更好。主动配电网中的分布式电源需要对其电气参数进行测量，以便主动配电网的控制系统能够对分布式电源及储能设备进行合理配置，以达到提高电力系统稳定性，增加新能源的使用、降低线损和节能减排的目的，可见合适的信息传输手段是主动配电网优化运行管理的重要环节。这里的主动配电网是指具有灵活结构的可以主动控制和主动管理的配电系统。
主动配电网监控信息传输可选择的手段主要有：光纤通信、公共无线网络通信、自建专用无线网络通信、电力线载波通信、电力线工频通信等方式。
光纤通信方式通信速率很高、通信性能优良好，但需要敷设光纤线路并在数量庞大的主动配电网监测节点，设备和线路维护成本过于高而难以承担。
无线网络方式受到地理局限较小，但也会存在信号盲区影响监控数据的传输，公共无线网络初期投资小，但需要长期支付通信服务费用，同时其信息安全性没有保证，自建无线网络投资较大，而且电力部门自身进行网络的运行维护存在困难。
以电力线为媒介传输主动配电网的监控信息，具有投资小、不用敷设通信线路、没有服务费用、灵活性强等优势。目前电力线通信主要有电力线载波通信(PLC)和电力线工频通信(TWACS)方式，其中，电力线载波通信只能在同一电压等级传输，中压电力线载波通信存在设备昂贵而且性能较差的缺点。
电力线工频通信通过在电压、电流上叠加微小的畸变信号实现数据传输，由于低频工频畸变信号可穿越变压器，电力线工频通信技术具有能够跨越配电变压器远距离通信的独特优势。然而，由于主动配电网中存在大量电力电子器件，这些电力电子器件对电力线工频通信产生噪声干扰，这些噪声干扰降低了数据传输的质量，导致对接收到的数据进行解调时容易出错。
针对现有技术中对接收到的数据进行解调时容易出错的问题，目前尚未提出有效的解决方案。
发明内容
本发明实施例的主要目的在于提供一种用于主动配电网的信号处理方法和装置，以解决对接收到的数据进行解调时容易出错的问题。
为了实现上述目的，根据本发明实施例的一个方面，提供了一种用于主动配电网的信号处理方法。根据本发明实施例的用于主动配电网的信号处理方法包括：接收主动配电网中通过电力线工频通信传输的数据信号；对所述数据信号进行差分处理，得到电网噪声；根据所述数据信号和所述电网噪声计算得到减差信号；获取采用高斯窗函数预先建立的与所述数据信号对应的参考信号；在信号调制时域确定情况下，计算所述减差信号与所述参考信号的互相关输出，得到计算结果；以及利用所述计算结果对所述数据信号进行解调处理。
进一步地，在获取采用高斯窗函数预先建立的与所述数据信号对应的参考信号之前，所述信号处理方法包括：建立与所述数据信号波形相同的初始信号；通过采用以下公式生成所述参考信号：
g(t)＝v(t)*h(t)
其中，g(t)表示所述参考信号，v(t)表示所述初始信号，h(t)表示所述高斯窗函数，且h(t)＝exp(-bt2)，b为系数；以及输出生成的参考信号。
进一步地，根据所述数据信号和所述电网噪声计算得到减差信号包括：获取所述初始信号；确定所述数据信号的幅度衰减系数；由所述数据信号、所述电网噪声、所述初始信号和所述幅度衰减系计算得到所述减差信号。
进一步地，由所述数据信号、所述电网噪声、所述初始信号和所述幅度衰减系计算得到所述减差信号包括：通过以下公式计算得到所述减差信号：
y(t)＝f(t)*ρ*v(t)+n(t)
其中，y(t)表示所述减差信号，f(t)表示所述数据信号，ρ表示所述幅度衰减系，v(t)表示所述初始信号，n(t)表示所述电网噪声。
进一步地，所述数据信号为电压畸变信号，其中，对所述数据信号进行差分处理，得到电网噪声包括：采用时域差分技术对所述电压畸变信号进行处理，得到差分后的电网噪声。
为了实现上述目的，根据本发明实施例的另一方面，提供了一种用于主动配电网的信号处理装置。根据本发明实施例的用于主动配电网的信号处理装置包括：接收单元，设置为接收主动配电网中通过电力线工频通信传输的数据信号；处理单元，设置为对所述数据信号进行差分处理，得到电网噪声；第一计算单元，设置为根据所述数据信号和所述电网噪声计算得到减差信号；获取单元，设置为获取采用高斯窗函数预先建立的与所述数据信号对应的参考信号；第二计算单元，在信号调制时域确定情况下，计算所述减差信号与所述参考信号的互相关输出，得到计算结果；以及解调单元，设置为利用所述计算结果对所述数据信号进行解调处理。
进一步地，所述信号处理装置包括：建立单元，设置为在获取采用高斯窗函数预先建立的与所述数据信号对应的参考信号之前，建立与所述数据信号波形相同的初始信号；生成单元，设置为通过采用以下公式生成所述参考信号：
g(t)＝v(t)*h(t)
其中，g(t)表示所述参考信号，v(t)表示所述初始信号，h(t)表示所述高斯窗函数，且h(t)＝exp(-bt2)，b为系数；以及输出单元，设置为输出生成的参考信号。
进一步地，所述第一计算单元包括：获取模块，设置为获取所述初始信号；确定模块，设置为确定所述数据信号的幅度衰减系数；计算模块，设置为由所述数据信号、所述电网噪声、所述初始信号和所述幅度衰减系计算得到所述减差信号。
进一步地，所述计算模块包括：计算子模块，设置为通过以下公式计算得到所述减差信号：
y(t)＝f(t)*ρ*v(t)+n(t)
其中，y(t)表示所述减差信号，f(t)表示所述数据信号，ρ表示所述幅度衰减系，v(t)表示所述初始信号，n(t)表示所述电网噪声。
进一步地，所述数据信号为电压畸变信号，其中，所述处理单元包括：处理模块，设置为采用时域差分技术对所述电压畸变信号进行处理，得到差分后的电网噪声。
根据本发明实施例，通过接收主动配电网中通过电力线工频通信传输的数据信号；对数据信号进行差分处理，得到电网噪声；根据数据信号和电网噪声计算得到减差信号；获取采用高斯窗函数预先建立的与数据信号对应的参考信号；在信号调制时域确定情况下，计算减差信号与参考信号的互相关输出，得到计算结果；以及利用计算结果对数据信号进行解调处理。在构建参考信号时，加入高斯窗函数，这样使得互相关运算时能够更有效地抑制高频干扰，解决了对接收到的数据进行解调时容易出错的问题，达到了有效抑制高频干扰的效果。
附图说明
构成本申请的一部分的附图用来提供对本发明的进一步理解，本发明的示意性实施例及其说明用于解释本发明，并不构成对本发明的不当限定。在附图中：
图1是根据本发明实施例的用于主动配电网的信号处理方法的流程图；
图2是根据本发明实施例的用于主动配电网的信号处理装置的一种可选的示意图；以及
图3是根据本发明实施例的用于主动配电网的信号处理装置的另一种可选的示意图。
具体实施方式
需要说明的是，在不冲突的情况下，本申请中的实施例及实施例中的特征可以相互组合。下面将参考附图并结合实施例来详细说明本发明。
为了使本技术领域的人员更好地理解本发明方案，下面将结合本发明实施例中的附图，对本发明实施例中的技术方案进行清楚、完整地描述，显然，所描述的实施例仅仅是本发明一部分的实施例，而不是全部的实施例。基于本发明中的实施例，本领域普通技术人员在没有做出创造性劳动前提下所获得的所有其他实施例，都应当属于本发明保护的范围。
需要说明的是，本发明的说明书和权利要求书及上述附图中的术语“第一”、“第二”等是用于区别类似的对象，而不必用于描述特定的顺序或先后次序。应该理解这样使用的数据在适当情况下可以互换，以便这里描述的本发明的实施例。此外，术语“包括”和“具有”以及他们的任何变形，意图在于覆盖不排他的包含，例如，包含了一系列步骤或单元的过程、方法、系统、产品或设备不必限于清楚地列出的那些步 骤或单元，而是可包括没有清楚地列出的或对于这些过程、方法、产品或设备固有的其它步骤或单元。
本发明实施例提供了一种用于主动配电网的信号处理方法。
图1是根据本发明实施例的用于主动配电网的信号处理方法的流程图。如图1所示，该信号处理方法包括步骤如下：
步骤S102，接收主动配电网中通过电力线工频通信传输的数据信号。
在采用电力线工频通信技术的主动配电网中，数据信号可以是包含有数据信息的畸变信号，通过利用主动配电网的电压或者电流的微小畸变来携带信息，实现通信。由于数据信号在电网中传输，通过主动配电网中存在大量电力电子器件，必然会产生强烈的噪声干扰，在下行信号检测时，首先接收包含有电网噪声的数据信号，以便于在对该数据信号进行解调前进行相应的处理。
步骤S104，对数据信号进行差分处理，得到电网噪声。
对接收到的数据进行差分处理，可选地，可以采用时域差分技术进行处理，得到差分后的电网噪声。
步骤S106，根据数据信号和电网噪声计算得到减差信号。
步骤S108，获取采用高斯窗函数预先建立的与数据信号对应的参考信号。
减差信号可以是用于与参考信号进行互相关计算的减差信号，其中，参考信号可以是通过预先建立的与带有数据信息的畸变信号接近的参考信号。将相邻的两个周期波形作差，得到前后周期减差信号，以参考信号作为基准信号，以便于将计算减差信号和参考信号进行相关比较处理。
可选地，本发明实施例的数据信号为电压畸变信号，其中，对数据信号进行差分处理，得到电网噪声包括：采用时域差分技术对电压畸变信号进行处理，得到差分后的电网噪声。
可选地，在获取采用高斯窗函数预先建立的与数据信号对应的参考信号之前，信号处理方法包括：建立与数据信号波形相同的初始信号；通过采用以下公式生成参考信号：
g(t)＝v(t)*h(t)
其中，g(t)表示参考信号，v(t)表示初始信号，h(t)表示高斯窗函数，且h(t)＝exp(-bt2)，b为系数。
在生成参考信号之后，输出生成的参考信号。
通过预先构建与畸变信号接近的参考信号即初始信号，假设与畸变信号接近的参考信号即为v(t)，高斯窗函数为：
h(t)＝exp(-bt2)
这样，新构建的参考信号为：
g(t)＝v(t)*h(t)
将新构建的参考信号作为与数据信号对应的参考信号输出，以便于在计算互相关输出时，利用新构建的参考信号进行计算。
步骤S110，在信号调制时域确定情况下，计算减差信号与参考信号的互相关输出，得到计算结果。
步骤S112，利用计算结果对数据信号进行解调处理。
根据本发明实施例，由于主动配电网中含有大量的分布式能源，分布式能源中又含有逆变器等设备造成很强的谐波干扰，这样会严重影响互相关运算的结果从而产生误码。基于此，本发明实施例在互相关运算中同时实现高性能低通滤波的接收方法，在构建参考信号时，加入高斯窗函数，这样使得互相关运算时能够更有效地抑制高频干扰，解决了对接收到的数据进行解调时容易出错的问题，达到了有效抑制高频干扰的效果。
可选地，根据数据信号和电网噪声计算得到减差信号包括：获取初始信号；确定数据信号的幅度衰减系数；由数据信号、电网噪声、初始信号和幅度衰减系计算得到减差信号。
初始信号即与畸变信号接近的初始参考信号，获取初始信号，确定其波形参数，用于通过时域差分技术计算减差信号。基于数据信号、电网噪声、初始信号和幅度衰减系之间的数学关系计算得到相邻两个周期的前后周期减差信号，作为数据信号互相关计算的基础。
可选地，由数据信号、电网噪声、初始信号和幅度衰减系计算得到减差信号包括：通过以下公式计算得到减差信号：
y(t)＝f(t)*ρ*v(t)+n(t)
其中，y(t)表示减差信号，f(t)表示数据信号，ρ表示幅度衰减系，v(t)表示初始信号，n(t)表示电网噪声。
f(t)即为下行的数据信息，n(t)表示差分后的电网噪声，ρ表示畸变信号的幅度衰减系，利用上式计算得到前后周期电压减差信号y(t)。
可选地，在本发明实施例中，首先，建立与电压畸变信号接近的参考信号v(t)，高斯窗函数为：
h(t)＝exp(-bt2)
这样，新构建的参考信号为：
g(t)＝v(t)*h(t)
设f(t)为下行数据信息，n(t)为差分后的电网噪声，ρ为畸变信号的幅度衰减系数，前后周期电压检差信号可表示为：
y(t)＝f(t)*ρ*v(t)+n(t)
在y(t)中，畸变信号的方向取决于数据信息，当选择g(t)作为新的参考信号，K为接收幅度系数，当信号调制时域确定的前提下，y(t)与参考信号g(t)的互相关输出为：
Figure PCTCN2014093196-appb-000001
互相关输出中既有电网噪声与参考调制信号的相关部份，也有调制信号的自相关部份，与直接使用v(t)作为参考信号比较，由于在主动配电网中，高频噪声干扰强烈， 加入高斯窗函数后，能够大大抑制互相关输出中的电网噪声与参考调制信号的相关部分，这样就能够明显突出调制信号的自相关部份，有效地提高下行通信的抗干扰性能。
本发明实施例还提供了一种用于主动配电网的信号处理装置。该装置可以通过计算机设备实现其功能。需要说明的是，本发明实施例的用于主动配电网的信号处理装置可以用于执行本发明实施例所提供的用于主动配电网的信号处理方法,本发明实施例的用于主动配电网的信号处理方法也可以通过本发明实施例所提供的用于主动配电网的信号处理装置来执行。
图2是根据本发明实施例的用于主动配电网的信号处理装置的示意图。如图2所示，该信号处理装置包括：接收单元10、处理单元20、第一计算单元30、获取单元40、第二计算单元50和解调单元60。
接收单元10设置为接收主动配电网中通过电力线工频通信传输的数据信号。
在采用电力线工频通信技术的主动配电网中，数据信号可以是包含有数据信息的畸变信号，通过利用主动配电网的电压或者电流的微小畸变来携带信息，实现通信。由于数据信号在电网中传输，通过主动配电网中存在大量电力电子器件，必然会产生强烈的噪声干扰，在下行信号检测时，首先接收包含有电网噪声的数据信号，以便于在对该数据信号进行解调前进行相应的处理。
处理单元20设置为对数据信号进行差分处理，得到电网噪声。
对接收到的数据进行差分处理，可选地，可以采用时域差分技术进行处理，得到差分后的电网噪声。
第一计算单元30设置为根据数据信号和电网噪声计算得到减差信号。
获取单元40设置为获取采用高斯窗函数预先建立的与数据信号对应的参考信号。
减差信号可以是用于与参考信号进行互相关计算的减差信号，其中，参考信号可以是通过预先建立的与带有数据信息的畸变信号接近的参考信号。将相邻的两个周期波形作差，得到前后周期减差信号，以参考信号作为基准信号，以便于将计算减差信号和参考信号进行相关比较处理。
第二计算单元50在信号调制时域确定情况下，计算减差信号与参考信号的互相关输出，得到计算结果。
解调单元60设置为利用计算结果对数据信号进行解调处理。
根据本发明实施例，由于主动配电网中含有大量的分布式能源，分布式能源中又含有逆变器等设备造成很强的谐波干扰，这样会严重影响互相关运算的结果从而产生误码。基于此，本发明实施例在互相关运算中同时实现高性能低通滤波的接收方法，在构建参考信号时，加入高斯窗函数，这样使得互相关运算时能够更有效地抑制高频干扰，解决了对接收到的数据进行解调时容易出错的问题，达到了有效抑制高频干扰的效果。
如图3所示，信号处理装置包括：建立单元70、生成单元80和输出单元90。建立单元70设置为在获取采用高斯窗函数预先建立的与数据信号对应的参考信号之前，建立与数据信号波形相同的初始信号；生成单元80设置为通过采用以下公式生成参考信号：
g(t)＝v(t)*h(t)
其中，g(t)表示参考信号，v(t)表示初始信号，h(t)表示高斯窗函数，且h(t)＝exp(-bt2)，b为系数。
输出单元90设置为在生产参考信号之后，输出生成的参考信号。
通过预先构建与畸变信号接近的参考信号即初始信号，假设与畸变信号接近的参考信号即为v(t)，高斯窗函数为：
h(t)＝exp(-bt2)
这样，新构建的参考信号为：
g(t)＝v(t)*h(t)
将新构建的参考信号作为与数据信号对应的参考信号输出，以便于在计算互相关输出时，利用新构建的参考信号进行计算。
可选地，第一计算单元包括：获取模块，设置为获取初始信号；确定模块，设置为确定数据信号的幅度衰减系数；计算模块，设置为由数据信号、电网噪声、初始信号和幅度衰减系计算得到减差信号。
初始信号即与畸变信号接近的初始参考信号，获取初始信号，确定其波形参数，用于通过时域差分技术计算减差信号。基于数据信号、电网噪声、初始信号和幅度衰 减系之间的数学关系计算得到相邻两个周期的前后周期减差信号，作为数据信号互相关计算的基础。
可选地，计算模块包括：计算子模块，设置为通过以下公式计算得到减差信号：
y(t)＝f(t)*ρ*v(t)+n(t)
其中，y(t)表示减差信号，f(t)表示数据信号，ρ表示幅度衰减系，v(t)表示初始信号，n(t)表示电网噪声。
可选地，在本发明实施例中，首先，建立与电压畸变信号接近的参考信号v(t)，高斯窗函数为：
h(t)＝exp(-bt2)
这样，新构建的参考信号为：
g(t)＝v(t)*h(t)
设f(t)为下行数据信息，n(t)为差分后的电网噪声，ρ为畸变信号的幅度衰减系数，前后周期电压检差信号可表示为：
y(t)＝f(t)*ρ*v(t)+n(t)
在y(t)中，畸变信号的方向取决于数据信息，当选择g(t)作为新的参考信号，K为接收幅度系数，当信号调制时域确定的前提下，y(t)与参考信号g(t)的互相关输出为：
Figure PCTCN2014093196-appb-000002
互相关输出中既有电网噪声与参考调制信号的相关部份，也有调制信号的自相关部份，与直接使用v(t)作为参考信号比较，由于在主动配电网中，高频噪声干扰强烈，加入高斯窗函数后，能够大大抑制互相关输出中的电网噪声与参考调制信号的相关部分，这样就能够明显突出调制信号的自相关部份，有效地提高下行通信的抗干扰性能。
可选地，发明实施例的数据信号为电压畸变信号，其中，处理单元包括：处理模块，设置为采用时域差分技术对电压畸变信号进行处理，得到差分后的电网噪声。
需要说明的是，对于前述的各方法实施例，为了简单描述，故将其都表述为一系列的动作组合，但是本领域技术人员应该知悉，本发明并不受所描述的动作顺序的限制，因为依据本发明，某些步骤可以采用其他顺序或者同时进行。其次，本领域技术人员也应该知悉，说明书中所描述的实施例均属于可选实施例，所涉及的动作和模块并不一定是本发明所必须的。
在上述实施例中，对各个实施例的描述都各有侧重，某个实施例中没有详述的部分，可以参见其他实施例的相关描述。
在本申请所提供的几个实施例中，应该理解到，所揭露的装置，可通过其它的方式实现。例如，以上所描述的装置实施例仅仅是示意性的，例如所述单元的划分，仅仅为一种逻辑功能划分，实际实现时可以有另外的划分方式，例如多个单元或组件可以结合或者可以集成到另一个系统，或一些特征可以忽略，或不执行。另一点，所显示或讨论的相互之间的耦合或直接耦合或通信连接可以是通过一些接口，装置或单元的间接耦合或通信连接，可以是电性或其它的形式。
所述作为分离部件说明的单元可以是或者也可以不是物理上分开的，作为单元显示的部件可以是或者也可以不是物理单元，即可以位于一个地方，或者也可以分布到多个网络单元上。可以根据实际的需要选择其中的部分或者全部单元来实现本实施例方案的目的。
另外，在本发明各个实施例中的各功能单元可以集成在一个处理单元中，也可以是各个单元单独物理存在，也可以两个或两个以上单元集成在一个单元中。上述集成的单元既可以采用硬件的形式实现，也可以采用软件功能单元的形式实现。
所述集成的单元如果以软件功能单元的形式实现并作为独立的产品销售或使用时，可以存储在一个计算机可读取存储介质中。基于这样的理解，本发明的技术方案本质上或者说对现有技术做出贡献的部分或者该技术方案的全部或部分可以以软件产品的形式体现出来，该计算机软件产品存储在一个存储介质中，包括若干指令用以使得一台计算机设备(可为个人计算机、移动终端、服务器或者网络设备等)执行本发明各个实施例所述方法的全部或部分步骤。而前述的存储介质包括：U盘、只读存储器(ROM，Read-Only Memory)、随机存取存储器(RAM，Random Access Memory)、移动硬盘、磁碟或者光盘等各种可以存储程序代码的介质。
以上所述仅为本发明的可选实施例而已，并不用于限制本发明，对于本领域的技术人员来说，本发明可以有各种更改和变化。凡在本发明的精神和原则之内，所作的任何修改、等同替换、改进等，均应包含在本发明的保护范围之内。
工业实用性
根据本发明实施例，通过接收主动配电网中通过电力线工频通信传输的数据信号；对数据信号进行差分处理，得到电网噪声；根据数据信号和电网噪声计算得到减差信号；获取采用高斯窗函数预先建立的与数据信号对应的参考信号；在信号调制时域确定情况下，计算减差信号与参考信号的互相关输出，得到计算结果；以及利用计算结果对数据信号进行解调处理。在构建参考信号时，加入高斯窗函数，这样使得互相关运算时能够更有效地抑制高频干扰，解决了主动配电网对接收到的数据进行解调时容易出错的问题，达到了有效抑制高频干扰的效果。

Claims (10)

  1. 一种用于主动配电网的信号处理方法，包括：
    接收主动配电网中通过电力线工频通信传输的数据信号；
    对所述数据信号进行差分处理，得到电网噪声；
    根据所述数据信号和所述电网噪声计算得到减差信号；
    获取采用高斯窗函数预先建立的与所述数据信号对应的参考信号；
    在信号调制时域确定情况下，计算所述减差信号与所述参考信号的互相关输出，得到计算结果；以及
    利用所述计算结果对所述数据信号进行解调处理。
  2. 根据权利要求1所述的信号处理方法，其中，在获取采用高斯窗函数预先建立的与所述数据信号对应的参考信号之前，所述信号处理方法包括：
    建立与所述数据信号波形相同的初始信号；
    通过采用以下公式生成所述参考信号：
    g(t)＝v(t)*h(t)
    其中，g(t)表示所述参考信号，v(t)表示所述初始信号，h(t)表示所述高斯窗函数，且h(t)＝exp(-bt2)，b为系数；以及
    输出生成的参考信号。
  3. 根据权利要求2所述的信号处理方法，其中，根据所述数据信号和所述电网噪声计算得到减差信号包括：
    获取所述初始信号；
    确定所述数据信号的幅度衰减系数；
    由所述数据信号、所述电网噪声、所述初始信号和所述幅度衰减系计算得到所述减差信号。
  4. 根据权利要求3所述的信号处理方法，其中，由所述数据信号、所述电网噪声、所述初始信号和所述幅度衰减系计算得到所述减差信号包括：
    通过以下公式计算得到所述减差信号：
    y(t)＝f(t)*ρ*v(t)+n(t)
    其中，y(t)表示所述减差信号，f(t)表示所述数据信号，ρ表示所述幅度衰减系，v(t)表示所述初始信号，n(t)表示所述电网噪声。
  5. 根据权利要求1所述的信号处理方法，其中，所述数据信号为电压畸变信号，其中，对所述数据信号进行差分处理，得到电网噪声包括：采用时域差分技术对所述电压畸变信号进行处理，得到差分后的电网噪声。
  6. 一种用于主动配电网的信号处理装置，包括：
    接收单元，设置为接收主动配电网中通过电力线工频通信传输的数据信号；
    处理单元，设置为对所述数据信号进行差分处理，得到电网噪声；
    第一计算单元，设置为根据所述数据信号和所述电网噪声计算得到减差信号；
    获取单元，设置为获取采用高斯窗函数预先建立的与所述数据信号对应的参考信号；
    第二计算单元，在信号调制时域确定情况下，计算所述减差信号与所述参考信号的互相关输出，得到计算结果；以及
    解调单元，设置为利用所述计算结果对所述数据信号进行解调处理。
  7. 根据权利要求6所述的信号处理装置，其中，所述信号处理装置包括：
    建立单元，设置为在获取采用高斯窗函数预先建立的与所述数据信号对应的参考信号之前，建立与所述数据信号波形相同的初始信号；
    生成单元，设置为通过采用以下公式生成所述参考信号：
    g(t)＝v(t)*h(t)
    其中，g(t)表示所述参考信号，v(t)表示所述初始信号，h(t)表示所述高斯窗函数，且h(t)＝exp(-bt2)，b为系数；以及
    输出单元，设置为输出生成的参考信号。
  8. 根据权利要求7所述的信号处理装置，其中，所述第一计算单元包括：
    获取模块，设置为获取所述初始信号；
    确定模块，设置为确定所述数据信号的幅度衰减系数；
    计算模块，设置为由所述数据信号、所述电网噪声、所述初始信号和所述幅度衰减系计算得到所述减差信号。
  9. 根据权利要求8所述的信号处理装置，其中，所述计算模块包括：
    计算子模块，设置为通过以下公式计算得到所述减差信号：
    y(t)＝f(t)*ρ*v(t)+n(t)
    其中，y(t)表示所述减差信号，f(t)表示所述数据信号，ρ表示所述幅度衰减系，v(t)表示所述初始信号，n(t)表示所述电网噪声。
  10. 根据权利要求6所述的信号处理装置，其中，所述数据信号为电压畸变信号，其中，所述处理单元包括：处理模块，设置为采用时域差分技术对所述电压畸变信号进行处理，得到差分后的电网噪声。
PCT/CN2014/093196 2014-06-25 2014-12-05 用于主动配电网的信号处理方法和装置 Ceased WO2015196744A1 (zh)

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Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107592139A (zh) * 2017-10-31 2018-01-16 珠海市科荟电器有限公司 一种抑制电力载波信号衰减的方法
CN112180197A (zh) * 2020-10-12 2021-01-05 国网江苏省电力有限公司 一种辩识中压配网线路非正常运行方式的波形分析方法
CN114019211A (zh) * 2021-10-14 2022-02-08 国网福建省电力有限公司福州供电公司 一种畸变电流采样方法及系统

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107659338A (zh) * 2017-10-31 2018-02-02 珠海市科荟电器有限公司 一种可抑制电力载波信号衰减的系统

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20100061441A1 (en) * 2006-02-22 2010-03-11 National Institute Of Advanced Industrial Science And Technology Data transmitting method and data transmitting apparatus
CN102932294A (zh) * 2011-08-12 2013-02-13 中国石油天然气股份有限公司 一种应用于油田电网的工频通信系统
CN103063936A (zh) * 2012-12-19 2013-04-24 中国电力科学研究院 一种用于现场的低压电力线载波信道噪声测试系统及其方法

Family Cites Families (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP5276427B2 (ja) * 2008-12-16 2013-08-28 パナソニック株式会社 受信装置及びシンボルタイミング検出方法
CN101980451B (zh) * 2010-10-09 2013-10-30 华北电力大学 基于时段自适应的电力线工频通信系统及方法

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20100061441A1 (en) * 2006-02-22 2010-03-11 National Institute Of Advanced Industrial Science And Technology Data transmitting method and data transmitting apparatus
CN102932294A (zh) * 2011-08-12 2013-02-13 中国石油天然气股份有限公司 一种应用于油田电网的工频通信系统
CN103063936A (zh) * 2012-12-19 2013-04-24 中国电力科学研究院 一种用于现场的低压电力线载波信道噪声测试系统及其方法

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107592139A (zh) * 2017-10-31 2018-01-16 珠海市科荟电器有限公司 一种抑制电力载波信号衰减的方法
CN107592139B (zh) * 2017-10-31 2021-12-07 珠海市科荟电器有限公司 一种抑制电力载波信号衰减的方法
CN112180197A (zh) * 2020-10-12 2021-01-05 国网江苏省电力有限公司 一种辩识中压配网线路非正常运行方式的波形分析方法
CN114019211A (zh) * 2021-10-14 2022-02-08 国网福建省电力有限公司福州供电公司 一种畸变电流采样方法及系统

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