Electric power system oscillation alarm false alarm prevention method and system based on multi-source data checking

Abstract

The invention discloses a power system oscillation alarm false alarm prevention method and system based on multi-source data checking. The method comprises the steps that a master station monitors oscillation alarm in real time; when the main station monitors an oscillation alarm, triggering oscillation checking based on the broadband data real-time checking path so as to judge whether the oscillation alarm is caused by spectrum aliasing or not; when the oscillation alarm is judged to be caused by spectrum aliasing based on the broadband data real-time checking path, the master station issues an oscillation false alarm, otherwise, the master station triggers oscillation checking based on the high-sampling wave recording calling checking path; carrying out oscillation checking based on a high-sampling wave recording call checking path so as to check whether the oscillation alarm is caused by spectrum aliasing; and when the oscillation check based on the high-sampling wave recording call check path judges that the oscillation alarm is caused by spectrum aliasing, the master station issues an oscillation false alarm. According to the invention, the problem of oscillation false alarm caused by spectrum aliasing is solved.

Description

Technical Field

[0001] This invention belongs to the field of power grid safety and stability technology, specifically, it relates to a method and system for preventing false alarms in power system oscillation alarms based on multi-source data verification. Background Technology

[0002] Low-frequency oscillations in power systems are a significant threat to the safe and stable operation of the power grid. Currently, dispatch centers at all levels widely use Wide Area Measurement Systems (WAMS) for real-time oscillation monitoring of the power grid. To balance communication and storage pressures, the master station WAMS typically uses a sampling frequency of 25Hz or 50Hz to receive data from the phasor measurement unit (PMU). According to the Nyquist sampling theorem, this sampling rate can only accurately observe oscillation modes with frequencies below 12.5Hz or 25Hz. However, with the widespread application of power electronic equipment, high-frequency oscillation phenomena such as subsynchronous oscillations (5Hz–45Hz) and hypersynchronous oscillations are becoming increasingly frequent. When the frequency of these high-frequency oscillation signals exceeds the Nyquist frequency sampled by the master station, they are incorrectly "folded" into the lower frequency band due to spectral aliasing, causing the master station to misjudge them as low-frequency oscillation events and generate false alarms.

[0003] With the large-scale integration of new energy sources, the problem of broadband oscillation in power systems is becoming increasingly prominent. Existing WAMS systems, due to the low sampling rate of the master station PMU (25Hz or 50Hz), cannot accurately capture high-frequency oscillation signals, leading to sub / supersynchronous oscillations being misidentified as low-frequency oscillations. This easily generates false alarms due to spectral aliasing (especially high-frequency interharmonic components). Relying solely on high-sampling waveform analysis results in significant delays, failing to meet real-time requirements. Furthermore, the lack of detailed analysis of broadband signals makes it impossible to effectively identify aliasing. Existing systems lack automatic, multi-source data verification methods after alarm triggering, making it impossible to verify the authenticity of alarms. False alarm information requires manual intervention from dispatchers, resulting in response delays and the risk of operational errors.

[0004] In existing technologies, wide-area real-time monitoring systems for power grid broadband oscillations perform spectrum analysis on the electrical signals collected by each signal sensing module of the broadband measurement device and generate oscillation alarm information based on the spectrum analysis results; online verification methods for broadband measurement data are used to verify the data of the broadband oscillation devices online; and wide-area monitoring systems and broadband oscillation source localization methods locate the oscillation source based on the spectrum analysis results and alarm information of each broadband device. However, existing technologies lack a mechanism at the main station side to effectively identify and filter these fundamental false alarms caused by insufficient sampling rate. Summary of the Invention

[0005] To address the shortcomings of existing technologies, this invention provides a method and system for preventing false alarms in power system oscillation alarms based on multi-source data verification. It implements an oscillation alarm verification mechanism based on dual-path serial verification and intelligent decision-making. By coordinating a broadband data real-time analysis path and a high-sampling waveform recording precise analysis path, it achieves intelligent verification of the entire process of oscillation alarms, from rapid initial screening to accurate final confirmation, thus solving the problem of false alarms caused by spectrum aliasing. Furthermore, by adding an oscillation verification module on the master station side, combining broadband measurement data and high-sampling waveform recording data, it achieves automatic, rapid, and dual verification of alarm authenticity, improving the accuracy and reliability of the alarm system.

[0006] The present invention adopts the following technical solution.

[0007] This invention proposes a method for preventing false alarms in power system oscillation alarms based on multi-source data verification, comprising: The main station monitors oscillation alarms in real time; When the master station detects an oscillation alarm, it triggers an oscillation check based on the real-time verification path of broadband data to determine whether the oscillation alarm is caused by spectral aliasing. If the real-time verification path of broadband data determines that the oscillation alarm is caused by spectral aliasing, the master station issues a false oscillation alarm. Otherwise, the master station triggers an oscillation check based on the high-sampling waveform recall verification path. The oscillation verification based on the high-sampling waveform call verification path is used to verify whether the oscillation alarm is caused by spectral aliasing. When the oscillation verification based on the high-sampling waveform call verification path determines that the oscillation alarm is caused by spectral aliasing, the main station issues a false oscillation alarm.

[0008] Preferably, the master station monitors oscillation alarms in real time based on the phasor measurement unit data stream with a low sampling rate, and records the oscillation alarm frequency and amplitude; wherein the low sampling rate of the phasor measurement unit is 50Hz or 100Hz.

[0009] Preferably, when triggering the oscillation verification based on the real-time verification path of broadband data, the master station identifies the high-frequency interharmonic oscillation component with a frequency higher than the sampling Nyquist frequency of the phasor measurement unit from the spectrum data of the broadband measurement device, and determines the folding frequency and amplitude of the high-frequency interharmonic component; based on the folding frequency and amplitude of the high-frequency interharmonic component, the oscillation alarm frequency and the oscillation alarm amplitude, the master station verifies whether the oscillation alarm is caused by spectrum aliasing.

[0010] Among them, if | - |≤ Furthermore, the amplitude of the high-frequency interharmonic components is greater than the amplitude of the oscillation alarm. If the oscillation alarm is determined to be caused by spectral aliasing, the main station will issue a false oscillation alarm; among which, The folding frequency of the high-frequency interharmonic components. The alarm oscillation frequency, It is a very small positive number; If | - |≤ This indicates that the frequencies are close, but the amplitude of the high-frequency harmonic components is less than the amplitude of the oscillation alarm. of If the value is multiple times higher, the verification is deemed unsuccessful, triggering an oscillation verification based on the high-sampling waveform call verification path; where, This is a preset scaling factor, with a value range of (0,1). If | - |> If the verification fails, an oscillation verification based on the high-sampling waveform call verification path is triggered.

[0011] Preferably, when triggering the oscillation verification based on the high-sampling waveform recording call verification path, a high-sampling-rate dynamic waveform recording file is called to the phasor measurement unit of the substation. The high sampling rate of the dynamic waveform recording file is greater than 1200Hz. FFT analysis is performed on the dynamic waveform recording file data to identify the dominant oscillation frequency and amplitude. Based on the dominant oscillation frequency and amplitude, oscillation alarm frequency and oscillation alarm amplitude, it is verified whether the oscillation alarm is caused by spectral aliasing.

[0012] Among them, if | - |≤ And the dominant oscillation amplitude greater than the oscillation alarm amplitude If the oscillation is determined to be caused by spectral aliasing, the main station will issue a false oscillation alarm; among which, As the dominant oscillation frequency, The alarm oscillation frequency, It is a very small positive number; If | - |≤ Indicates that the frequencies are similar, but Less than of If the value is multiple times higher, the measurement data that triggers the oscillation alarm is determined to be measurement noise; among which, This is a preset scaling factor, with a value range of (0,1). If | - |> If so, the data measurement is determined to be abnormal.

[0013] In another aspect, this invention proposes a power system oscillation alarm false alarm prevention system based on multi-source data verification. An oscillation alarm verification module is configured at the main station. The oscillation alarm verification module includes: The alarm monitoring unit is used to monitor oscillation alarms in real time; when an oscillation alarm is detected, it triggers oscillation verification based on the real-time verification path of broadband data, and when the real-time verification path based on broadband data does not determine that the oscillation alarm is caused by spectral aliasing, it triggers oscillation verification based on the high-sampling waveform recall verification path. The broadband data alarm verification unit is used to verify the oscillation based on the broadband data real-time verification path to determine whether the oscillation alarm is caused by spectrum aliasing. When the broadband data real-time verification path determines that the oscillation alarm is caused by spectrum aliasing, the master station issues an oscillation false alarm; otherwise, it sends a signal to the alarm monitoring unit that the oscillation alarm has not been determined to be caused by spectrum aliasing. The sampling waveform alarm verification unit is used to verify the oscillation based on the high sampling waveform call verification path to verify whether the oscillation alarm is caused by spectral aliasing. When the oscillation verification based on the high sampling waveform call verification path determines that the oscillation alarm is caused by spectral aliasing, the main station issues a false oscillation alarm.

[0014] Preferably, when the broadband data alarm verification unit triggers the oscillation verification based on the broadband data real-time verification path, the main station identifies high-frequency interharmonic oscillation components with frequencies higher than the Nyquist frequency sampled by the phasor measurement unit from the spectrum data of the broadband measurement device, and determines the folding frequency and amplitude of the high-frequency interharmonic components; based on the folding frequency and amplitude of the high-frequency interharmonic components, the oscillation alarm frequency and the oscillation alarm amplitude, it verifies whether the oscillation alarm is caused by spectral aliasing, including: If | - |≤ Furthermore, the amplitude of the high-frequency interharmonic components is greater than the amplitude of the oscillation alarm. If the oscillation alarm is determined to be caused by spectral aliasing, the main station will issue a false oscillation alarm; among which, The folding frequency of the high-frequency interharmonic components. The alarm oscillation frequency, It is a very small positive number; If | - |≤ This indicates that the frequencies are close, but the amplitude of the high-frequency harmonic components is less than the amplitude of the oscillation alarm. of If the value is multiple times higher, the verification is deemed unsuccessful, triggering an oscillation verification based on the high-sampling waveform call verification path; where, This is a preset scaling factor, with a value range of (0,1). If | - |> If the verification fails, an oscillation verification based on the high-sampling waveform call verification path is triggered.

[0015] Preferably, when the sampling waveform alarm verification unit triggers the oscillation verification based on the high sampling waveform call verification path, it calls a high sampling rate dynamic waveform file to the phasor measurement unit of the substation. The high sampling rate of the dynamic waveform file is greater than 1200Hz. It performs FFT analysis on the dynamic waveform file data to identify the dominant oscillation frequency and amplitude. Based on the dominant oscillation frequency and amplitude, the oscillation alarm frequency, and the oscillation alarm amplitude, it verifies whether the oscillation alarm is caused by spectral aliasing, including: If | - |≤ And the dominant oscillation amplitude greater than the oscillation alarm amplitude If the oscillation is determined to be caused by spectral aliasing, the main station will issue a false oscillation alarm; among which, As the dominant oscillation frequency, The alarm oscillation frequency, It is a very small positive number; If | - |≤ Indicates that the frequencies are similar, but Less than of If the value is multiple times higher, the measurement data that triggers the oscillation alarm is determined to be measurement noise; among which, This is a preset scaling factor, with a value range of (0,1). If | - |> If so, the data measurement is determined to be abnormal.

[0016] The present invention is also a terminal, including a processor and a storage medium; the storage medium is used to store instructions; the processor is used to perform operations according to the instructions to execute the steps of the method.

[0017] The present invention is also a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of the method.

[0018] The beneficial effects of this invention, compared with the prior art, include at least the following: It proposes an oscillation alarm verification method that balances real-time performance and accuracy to reduce false alarm rates, improve dispatching personnel's trust in alarm information, and enhance processing efficiency; it effectively identifies and filters false alarms caused by spectrum aliasing through a dual verification mechanism; it accelerates response speed, with near real-time wideband data verification paths enabling preliminary judgments within seconds; it improves resource utilization, with high-sampling waveform recording available on demand, avoiding daily bandwidth consumption. It is also highly adaptable: all parameters can be configured online, making it suitable for different power grid structures and operational needs. Attached Figure Description

[0019] Figure 1 This is a flowchart of a power system oscillation alarm prevention method based on multi-source data verification proposed in this invention. Detailed Implementation

[0020] To make the objectives, technical solutions, and advantages of this invention clearer, the technical solutions of this invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of this invention. The embodiments described in this application are merely some embodiments of this invention, and not all embodiments. Based on the spirit of this invention, all other embodiments obtained by those skilled in the art without creative effort are within the protection scope of this invention.

[0021] This invention proposes a method for preventing false alarms in power system oscillation alarms based on multi-source data verification. In response to an oscillation alarm based on low-sampling-rate PMU data, a real-time verification path for wideband data and a verification path for high-sampling waveform recording are initiated sequentially. Based on the results of the real-time verification path for wideband data and the results of the verification path for high-sampling waveform recording, a final verification conclusion is generated.

[0022] like Figure 1 As shown, the method includes the following steps: Step 1: The main station monitors oscillation alarms in real time.

[0023] Specifically, the oscillation alarm verification module of the main station WAMS monitors oscillation alarms in real time based on the phasor measurement unit (PMU) data stream with a low sampling rate. When the active power oscillation amplitude of the line or generator exceeds the preset threshold, an oscillation alarm is triggered and alarm characteristic information, including the oscillation alarm frequency and oscillation alarm amplitude, is recorded.

[0024] In the embodiments, the low sampling rate of the PMU is 50Hz or 100Hz.

[0025] Step 2: When the master station detects an oscillation alarm, it triggers an oscillation check based on the real-time verification path of broadband data to determine whether the oscillation alarm is caused by spectral aliasing. If the real-time verification path of broadband data determines that the oscillation alarm is caused by spectral aliasing, the master station issues a false oscillation alarm. Otherwise, the master station triggers an oscillation check based on the high-sampling waveform recall verification path.

[0026] The present invention takes the oscillation verification based on the real-time verification path of broadband data as the first verification. It monitors the data of the broadband measurement device in real time, calculates its Nyquist folding frequency by analyzing its high-frequency oscillation components (SFN, SPN), and performs a logical comparison with the oscillation alarm frequency and oscillation alarm amplitude to determine whether the oscillation false alarm is caused by the presence of spectral aliasing. Specifically, step 2 includes: Step 2.1: Obtain the spectrum data of the broadband measurement device, including: characteristic frequency spectrum values ​​and corresponding amplitude spectrum values; Real-time reception of spectrum data uploaded by broadband measurement devices installed at oscillation sources or key nodes. The spectrum data includes at least characteristic frequency spectrum (SFN) and corresponding amplitude spectrum (SPN). Step 2.2: Based on the spectrum data, identify the high-frequency interharmonic components with frequencies higher than the Nyquist frequency sampled by the phasor measurement unit; Step 2.3: Calculate the folding frequency of the high-frequency interharmonic components according to the sampling theorem; and extract the amplitude of the high-frequency interharmonic components. Step 2.4: Based on the folding frequency of the high-frequency interharmonic components and the oscillation alarm frequency, and the amplitude of the high-frequency interharmonic components and the oscillation alarm amplitude, verify whether the oscillation alarm is caused by spectral aliasing.

[0027] Specifically, if the real-time data of SFN and SPN are successfully acquired, high-frequency interharmonic components with frequencies higher than the Nyquist frequency of the main station are extracted from the SFN data. These components must contain a continuous oscillation signal in at least 80% (configurable) of the detection window, forming a queue {IHFi}. For each high-frequency interharmonic component in the queue… Calculate its folding frequency at the main station sampling rate. Determine the folding frequency alarm oscillation frequency The method for determining whether they are close is as follows: 1) If | - |≤ This indicates that the frequencies are close, and the amplitude of the high-frequency harmonic components is greater than the amplitude of the oscillation alarm. If the oscillation alarm is determined to be caused by spectral aliasing, the main station will issue a false oscillation alarm; among which, It is an extremely small positive number, and in this example, it is taken as 0.01Hz; 2) If | - |≤ This indicates that the frequencies are close, but the amplitude of the high-frequency harmonic components is less than the amplitude of the oscillation alarm. of If the value is multiple times higher, the verification is deemed unsuccessful, triggering an oscillation verification based on the high-sampling waveform call verification path; where, The preset proportional coefficient has a value range of (0,1), and in this example, it is set to 0.75. 3) If | - |> If the frequencies are not close, the verification is deemed to have failed, triggering an oscillation verification based on the high-sampling waveform call verification path.

[0028] Step 3: Verify the oscillation based on the high-sampling waveform call verification path to check whether the oscillation alarm is caused by spectral aliasing; when the oscillation verification based on the high-sampling waveform call verification path determines that the oscillation alarm is caused by spectral aliasing, the main station issues a false oscillation alarm.

[0029] The second verification path of this invention involves activating the substation waveform recording summoning module to summon the high sampling rate waveform recording file of the substation PMU device for precise spectrum analysis to confirm the true oscillation mode. If verification path 1 yields a verification result, the verification is complete.

[0030] Specifically, step 3 includes: Step 3.1: Request a high sampling rate dynamic waveform recording file from the phasor measurement unit of the substation; Intelligent Summoning: The system sends summoning commands to the PMU or fault recording device of the relevant substation as needed according to preset strategies (such as first alarm, repeated alarm in the same area), requesting the upload of high sampling rate dynamic recording files of the incident period; the high sampling rate of the dynamic recording files is greater than 1200Hz; the high sampling recording on-demand summoning mechanism avoids the occupation of communication channels by continuously transmitting large amounts of data files.

[0031] Step 3.2: Perform FFT analysis on the dynamic waveform recording data to identify the dominant oscillation frequency and amplitude; Precise Analysis: After receiving high-sampled waveform data, precise spectrum analysis is performed using Fast Fourier Transform or Wavelet Transform to identify the dominant oscillation frequency that actually exists in the data. and amplitude .

[0032] Step 3.3: Based on the dominant oscillation frequency and amplitude, the oscillation alarm frequency and amplitude, verify whether the oscillation alarm is caused by spectral aliasing; the determination method is as follows: 1) If | - |≤ And the dominant oscillation amplitude greater than the oscillation alarm amplitude If the oscillation alarm is determined to be caused by spectral aliasing, the main station will issue a false oscillation alarm; among which, As the dominant oscillation frequency, The alarm oscillation frequency, It is a very small positive number; 2) If | - |≤ Indicates that the frequencies are similar, but Less than of If the value is multiple times higher, the measurement data that triggers the oscillation alarm is determined to be measurement noise; among which, This is a preset scaling factor, with a value range of (0,1). 3) If | - |> If so, the data measurement is determined to be abnormal.

[0033] By comparing the dominant oscillation frequency with the oscillation alarm frequency and combining the amplitude information, it can also generate accurate verification results on the authenticity of the alarm, including but not limited to: false oscillation alarms, measurement noise, and data anomalies.

[0034] This invention proposes a novel architecture of dual-path serial collaboration between wideband real-time analysis and high-sampling precision analysis. The wideband path solves the problem of not being able to see high-frequency aliasing in traditional methods, and realizes real-time and preliminary screening of false alarms. The high-sampling path, as a reliable standard, provides final confirmation. This dual-path verification mechanism combines the real-time nature of wideband data with the accuracy of high-sampling waveform recording, thereby cross-verifying the authenticity of alarms.

[0035] In another aspect, this invention proposes a power system oscillation alarm false alarm prevention system based on multi-source data verification. An oscillation alarm verification module is configured at the main station. The oscillation alarm verification module includes: The alarm monitoring unit is used to monitor oscillation alarms in real time; when an oscillation alarm is detected, it triggers oscillation verification based on the real-time verification path of broadband data, and when the real-time verification path based on broadband data does not determine that the oscillation alarm is caused by spectral aliasing, it triggers oscillation verification based on the high-sampling waveform recall verification path. The broadband data alarm verification unit is used to verify the oscillation based on the broadband data real-time verification path to determine whether the oscillation alarm is caused by spectrum aliasing. When the broadband data real-time verification path determines that the oscillation alarm is caused by spectrum aliasing, the master station issues an oscillation false alarm; otherwise, it sends a signal to the alarm monitoring unit that the oscillation alarm has not been determined to be caused by spectrum aliasing. The sampling waveform alarm verification unit is used to verify the oscillation based on the high sampling waveform call verification path to verify whether the oscillation alarm is caused by spectral aliasing. When the oscillation verification based on the high sampling waveform call verification path determines that the oscillation alarm is caused by spectral aliasing, the main station issues a false oscillation alarm.

[0036] Preferably, when the broadband data alarm verification unit triggers the oscillation verification based on the broadband data real-time verification path, the main station identifies high-frequency interharmonic oscillation components with frequencies higher than the Nyquist frequency sampled by the phasor measurement unit from the spectrum data of the broadband measurement device, and determines the folding frequency and amplitude of the high-frequency interharmonic components; based on the folding frequency and amplitude of the high-frequency interharmonic components, the oscillation alarm frequency and the oscillation alarm amplitude, it verifies whether the oscillation alarm is caused by spectral aliasing, including: If | - |≤ Furthermore, the amplitude of the high-frequency interharmonic components is greater than the amplitude of the oscillation alarm. If the oscillation alarm is determined to be caused by spectral aliasing, the main station will issue a false oscillation alarm; among which, The folding frequency of the high-frequency interharmonic components. The alarm oscillation frequency, It is a very small positive number; If | - |≤ This indicates that the frequencies are close, but the amplitude of the high-frequency harmonic components is less than the amplitude of the oscillation alarm. of If the value is multiple times higher, the verification is deemed unsuccessful, triggering an oscillation verification based on the high-sampling waveform call verification path; where, This is a preset scaling factor, with a value range of (0,1). If | - |> If the verification fails, an oscillation verification based on the high-sampling waveform call verification path is triggered.

[0037] Preferably, when the sampling waveform alarm verification unit triggers the oscillation verification based on the high sampling waveform call verification path, it calls a high sampling rate dynamic waveform file to the phasor measurement unit of the substation. The high sampling rate of the dynamic waveform file is greater than 1200Hz. It performs FFT analysis on the dynamic waveform file data to identify the dominant oscillation frequency and amplitude. Based on the dominant oscillation frequency and amplitude, the oscillation alarm frequency, and the oscillation alarm amplitude, it verifies whether the oscillation alarm is caused by spectral aliasing, including: If | - |≤ And the dominant oscillation amplitude greater than the oscillation alarm amplitude If the oscillation is determined to be caused by spectral aliasing, the main station will issue a false oscillation alarm; among which, As the dominant oscillation frequency, The alarm oscillation frequency, It is a very small positive number; If | - |≤ Indicates that the frequencies are similar, but Less than of If the value is multiple times higher, the measurement data that triggers the oscillation alarm is determined to be measurement noise; among which, This is a preset scaling factor, with a value range of (0,1). If | - |> If so, the data measurement is determined to be abnormal.

[0038] In this embodiment, the system's configurable parameter system includes, but is not limited to, verification window, number of summons, and delay time, to adapt to different operating scenarios.

[0039] The method proposed in this invention can improve the accuracy of broadband oscillation alarms, effectively distinguish between true low-frequency oscillations and high-frequency interharmonic aliasing, and significantly reduce the false alarm rate. The broadband data verification path has extremely low latency, providing preliminary judgment within seconds, accelerating the initial judgment speed of alarm response while maintaining real-time performance. The on-demand intelligent recall mechanism of high-sampling waveform recording avoids continuous waste of communication and storage resources, improving overall system efficiency and optimizing resource utilization. Through a configurable parameter system (verification time window, recall trigger conditions, fusion logic, etc.), this invention can flexibly adapt to the needs of different power grid structures and operating scenarios, exhibiting wide applicability.

[0040] This disclosure can be a system, method, and / or computer program product. A computer program product may include a computer-readable storage medium having computer-readable program instructions loaded thereon for causing a processor to implement various aspects of this disclosure.

[0041] Computer-readable storage media can be tangible devices capable of holding and storing instructions for use by an instruction execution device. Computer-readable storage media can be, for example—but not limited to—electrical storage devices, magnetic storage devices, optical storage devices, electromagnetic storage devices, semiconductor storage devices, or any suitable combination of the foregoing. More specific examples (a non-exhaustive list) of computer-readable storage media include: portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), static random access memory (SRAM), portable compact disc read-only memory (CD-ROM), digital multifunction disc (DVD), memory sticks, floppy disks, mechanical encoding devices, such as punch cards or recessed protrusions storing instructions thereon, and any suitable combination of the foregoing. The computer-readable storage media used herein are not to be construed as transient signals themselves, such as radio waves or other freely propagating electromagnetic waves, electromagnetic waves propagating through waveguides or other transmission media (e.g., light pulses through fiber optic cables), or electrical signals transmitted through wires.

[0042] The computer-readable program instructions described herein can be downloaded from computer-readable storage media to various computing / processing devices, or downloaded via a network, such as the Internet, local area network, wide area network, and / or wireless network, to an external computer or external storage device. The network may include copper transmission cables, fiber optic transmission, wireless transmission, routers, firewalls, switches, gateway computers, and / or edge servers. A network adapter card or network interface in each computing / processing device receives the computer-readable program instructions from the network and forwards them to the computer-readable storage media in the respective computing / processing device.

[0043] Computer program instructions used to perform the operations of this disclosure may be assembly instructions, instruction set architecture (ISA) instructions, machine instructions, machine-dependent instructions, microcode, firmware instructions, status setting data, or source code or object code written in any combination of one or more programming languages, including object-oriented programming languages ​​such as Smalltalk, C++, etc., and conventional procedural programming languages ​​such as the "C" language or similar programming languages. The computer-readable program instructions may execute entirely on the user's computer, partially on the user's computer, as a standalone software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In cases involving a remote computer, the remote computer may be connected to the user's computer via any type of network—including a local area network (LAN) or a wide area network (WAN)—or may be connected to an external computer (e.g., via the Internet using an Internet service provider). In some embodiments, electronic circuitry, such as programmable logic circuitry, field-programmable gate arrays (FPGAs), or programmable logic arrays (PLAs), is personalized by utilizing the status information of the computer-readable program instructions to implement various aspects of this disclosure.

[0044] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit it. Although the present invention has been described in detail with reference to the above embodiments, those skilled in the art should understand that modifications or equivalent substitutions can still be made to the specific implementation of the present invention. Any modifications or equivalent substitutions that do not depart from the spirit and scope of the present invention should be covered within the protection scope of the claims of the present invention.

Claims

1. A method for preventing false alarms in power system oscillation alarms based on multi-source data verification, characterized in that, include: The main station monitors oscillation alarms in real time; When the main station detects an oscillation alarm, it triggers an oscillation check based on the real-time verification path of broadband data to determine whether the oscillation alarm is caused by spectral aliasing. When the oscillation alarm is determined to be caused by spectral aliasing based on real-time path verification using broadband data, the master station issues a false oscillation alarm; otherwise, the master station triggers oscillation verification based on high-sampling waveform recording to call the verification path. The oscillation verification based on the high-sampling waveform call verification path is used to verify whether the oscillation alarm is caused by spectral aliasing. When the oscillation verification based on the high-sampling waveform call verification path determines that the oscillation alarm is caused by spectral aliasing, the main station issues a false oscillation alarm.

2. The method for preventing false alarms in power system oscillation alarms based on multi-source data verification according to claim 1, characterized in that, The main station monitors oscillation alarms in real time based on the phasor measurement unit data stream with a low sampling rate, and records the oscillation alarm frequency and amplitude; the low sampling rate of the phasor measurement unit is 50Hz or 100Hz.

3. The method for preventing false alarms in power system oscillation alarms based on multi-source data verification according to claim 1, characterized in that, When triggering the oscillation verification based on the real-time verification path of broadband data, the main station identifies the high-frequency interharmonic oscillation component with a frequency higher than the Nyquist sampling frequency of the phasor measurement unit from the spectrum data of the broadband measurement device, and determines the folding frequency and amplitude of the high-frequency interharmonic component; based on the folding frequency and amplitude of the high-frequency interharmonic component, the oscillation alarm frequency and oscillation alarm amplitude, the station verifies whether the oscillation alarm is caused by spectrum aliasing.

4. The method for preventing false alarms in power system oscillation alarms based on multi-source data verification according to claim 3, characterized in that, If | - |≤ Furthermore, the amplitude of the high-frequency interharmonic components is greater than the amplitude of the oscillation alarm. If the oscillation alarm is determined to be caused by spectral aliasing, the main station will issue a false oscillation alarm; among which, The folding frequency of the high-frequency interharmonic components. The alarm oscillation frequency, It is a very small positive number; If | - |≤ This indicates that the frequencies are close, but the amplitude of the high-frequency harmonic components is less than the amplitude of the oscillation alarm. of If the value is multiple times higher, the verification is deemed unsuccessful, triggering an oscillation verification based on the high-sampling waveform call verification path; where, This is a preset scaling factor, with a value range of (0,1). If | - |> If the verification fails, an oscillation verification based on the high-sampling waveform call verification path is triggered.

5. The method for preventing false alarms in power system oscillation alarms based on multi-source data verification according to claim 4, characterized in that, When triggering the oscillation verification based on the high-sampling waveform recording call verification path, a high-sampling-rate dynamic waveform recording file is called to the phasor measurement unit of the substation. The high sampling rate of the dynamic waveform recording file is greater than 1200Hz. FFT analysis is performed on the dynamic waveform recording file data to identify the dominant oscillation frequency and amplitude. Based on the dominant oscillation frequency and amplitude, oscillation alarm frequency and oscillation alarm amplitude, it is verified whether the oscillation alarm is caused by spectral aliasing.

6. The method for preventing false alarms in power system oscillation alarms based on multi-source data verification according to claim 5, characterized in that, If | - |≤ And the dominant oscillation amplitude greater than the oscillation alarm amplitude If the oscillation is determined to be caused by spectral aliasing, the main station will issue a false oscillation alarm; among which, As the dominant oscillation frequency, The alarm oscillation frequency, It is a very small positive number; If | - |≤ Indicates that the frequencies are similar, but Less than of If the value is multiple times higher, the measurement data that triggers the oscillation alarm is determined to be measurement noise; among which, This is a preset scaling factor, with a value range of (0,1). If | - |> If so, the data measurement is determined to be abnormal.

7. A power system oscillation alarm false alarm prevention system based on multi-source data verification, used to implement the power system oscillation alarm false alarm prevention method based on multi-source data verification as described in any one of claims 1 to 6, characterized in that, Configure an oscillation alarm verification module on the main station. The oscillation alarm verification module includes: The alarm monitoring unit is used to monitor oscillation alarms in real time; when an oscillation alarm is detected, it triggers oscillation verification based on the real-time verification path of broadband data, and when the real-time verification path based on broadband data does not determine that the oscillation alarm is caused by spectral aliasing, it triggers oscillation verification based on the high-sampling waveform recall verification path. The broadband data alarm verification unit is used to verify the oscillation based on the broadband data real-time verification path to determine whether the oscillation alarm is caused by spectrum aliasing. When the broadband data real-time verification path determines that the oscillation alarm is caused by spectrum aliasing, the master station issues an oscillation false alarm; otherwise, it sends a signal to the alarm monitoring unit that the oscillation alarm has not been determined to be caused by spectrum aliasing. The sampling waveform alarm verification unit is used to verify the oscillation based on the high sampling waveform call verification path to verify whether the oscillation alarm is caused by spectral aliasing. When the oscillation verification based on the high sampling waveform call verification path determines that the oscillation alarm is caused by spectral aliasing, the main station issues a false oscillation alarm.

8. The power system oscillation alarm and false alarm prevention system based on multi-source data verification according to claim 7, characterized in that, The broadband data alarm verification unit, when triggering oscillation verification based on the broadband data real-time verification path, identifies high-frequency interharmonic oscillation components with frequencies higher than the Nyquist frequency sampled by the phasor measurement unit from the spectrum data of the broadband measurement device, and determines the folding frequency and amplitude of the high-frequency interharmonic components; based on the folding frequency and amplitude of the high-frequency interharmonic components, the oscillation alarm frequency and oscillation alarm amplitude, it verifies whether the oscillation alarm is caused by spectral aliasing, including: If | - |≤ Furthermore, the amplitude of the high-frequency interharmonic components is greater than the amplitude of the oscillation alarm. If the oscillation alarm is determined to be caused by spectral aliasing, the main station will issue a false oscillation alarm; among which, The folding frequency of the high-frequency interharmonic components. The alarm oscillation frequency, It is a very small positive number; If | - |≤ This indicates that the frequencies are close, but the amplitude of the high-frequency harmonic components is less than the amplitude of the oscillation alarm. of If the value is multiple times higher, the verification is deemed unsuccessful, triggering an oscillation verification based on the high-sampling waveform call verification path; where, This is a preset scaling factor, with a value range of (0,1). If | - |> If the verification fails, an oscillation verification based on the high-sampling waveform call verification path is triggered.

9. The power system oscillation alarm and false alarm prevention system based on multi-source data verification according to claim 7, characterized in that, The sampling waveform alarm verification unit, when triggering the oscillation verification based on the high-sampling waveform call verification path, calls a high-sampling-rate dynamic waveform file to the phasor measurement unit of the substation. The high sampling rate of the dynamic waveform file is greater than 1200Hz. FFT analysis is performed on the dynamic waveform file data to identify the dominant oscillation frequency and amplitude. Based on the dominant oscillation frequency and amplitude, the oscillation alarm frequency and amplitude, the unit verifies whether the oscillation alarm is caused by spectral aliasing, including: If | - |≤ And the dominant oscillation amplitude greater than the oscillation alarm amplitude If the oscillation is determined to be caused by spectral aliasing, the main station will issue a false oscillation alarm; among which, As the dominant oscillation frequency, The alarm oscillation frequency, It is a very small positive number; If | - |≤ Indicates that the frequencies are similar, but Less than of If the value is multiple times higher, the measurement data that triggers the oscillation alarm is determined to be measurement noise; among which, This is a preset scaling factor, with a value range of (0,1). If | - |> If so, the data measurement is determined to be abnormal.

10. A terminal, comprising a processor and a storage medium; characterized in that: The storage medium is used to store instructions; The processor is configured to operate according to the instructions to perform the steps of the method according to any one of claims 1-6.

11. A computer-readable storage medium having a computer program stored thereon, characterized in that, When executed by a processor, the program implements the steps of the method according to any one of claims 1-6.

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