[go: up one dir, main page]

CN111965408A - A detection method for fault zero-sequence voltage amplitude of AC-DC hybrid grid based on morphological filter - Google Patents

A detection method for fault zero-sequence voltage amplitude of AC-DC hybrid grid based on morphological filter Download PDF

Info

Publication number
CN111965408A
CN111965408A CN202010640890.8A CN202010640890A CN111965408A CN 111965408 A CN111965408 A CN 111965408A CN 202010640890 A CN202010640890 A CN 202010640890A CN 111965408 A CN111965408 A CN 111965408A
Authority
CN
China
Prior art keywords
sequence voltage
filter
generalized
fault
zero
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN202010640890.8A
Other languages
Chinese (zh)
Inventor
汪洋
席文兵
王东阳
戴欣
石旭初
曾明杰
王彬
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
HuaiAn Power Supply Co of State Grid Jiangsu Electric Power Co Ltd
Original Assignee
HuaiAn Power Supply Co of State Grid Jiangsu Electric Power Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by HuaiAn Power Supply Co of State Grid Jiangsu Electric Power Co Ltd filed Critical HuaiAn Power Supply Co of State Grid Jiangsu Electric Power Co Ltd
Priority to CN202010640890.8A priority Critical patent/CN111965408A/en
Publication of CN111965408A publication Critical patent/CN111965408A/en
Pending legal-status Critical Current

Links

Images

Classifications

    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R19/00Arrangements for measuring currents or voltages or for indicating presence or sign thereof
    • G01R19/0084Arrangements for measuring currents or voltages or for indicating presence or sign thereof measuring voltage only

Landscapes

  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Measurement Of Current Or Voltage (AREA)

Abstract

本发明涉及配电网故障检测技术领域,公开了一种基于形态滤波器的交直流混合电网故障零序电压幅值检测方法,包括如下步骤S1:设计广义形态滤波器,采用选用不同尺寸的结构元素的算法,通过级联开闭运算,构造一类广义开‑闭滤波器和闭‑开滤波器;S2:在S1中广义形态滤波器滤波的基础上,利用S变换检测电力信号的故障压降深度。与现有技术相比,本发明使用广义形态滤波器,提高信号抗干扰能力,考虑故障压降检测中会产生时移性偏差,加入了调节因子,确保故障零序电压能够在不同调节因子的窗函数作用下变换,提高了故障零序电压幅值检测的精度。

Figure 202010640890

The invention relates to the technical field of distribution network fault detection, and discloses a method for detecting the fault zero-sequence voltage amplitude of an AC-DC hybrid power grid based on a morphological filter. The algorithm of the element constructs a class of generalized open-closed filters and closed-open filters by cascading opening and closing operations; S2: On the basis of the filtering of the generalized morphological filter in S1, the S transform is used to detect the fault voltage of the power signal. drop in depth. Compared with the prior art, the present invention uses a generalized morphological filter to improve the anti-interference ability of the signal. Considering that the time-shift deviation will occur in the fault voltage drop detection, an adjustment factor is added to ensure that the fault zero-sequence voltage can be adjusted between different adjustment factors. The down-conversion under the action of the window function improves the detection accuracy of the fault zero-sequence voltage amplitude.

Figure 202010640890

Description

一种基于形态滤波器的交直流混合电网故障零序电压幅值检 测方法A morphological filter-based detection of zero-sequence voltage amplitude in AC-DC hybrid grid faults test method

技术领域technical field

本发明涉及配电网故障检测技术领域,具体的说是涉及一种基于形态滤波器的交直流混合电网故障零序电压幅值检测方法。The invention relates to the technical field of distribution network fault detection, in particular to a method for detecting the fault zero-sequence voltage amplitude of an AC/DC hybrid power grid based on a morphological filter.

背景技术Background technique

随着多类型分布式电源的规模化接入以及交直流混合配电技术的应用,配电网由传统的单电源辐射型交流电网衍变成多电源并行供电和交直流混联运行的复杂网络,其故障暂态响应以及故障特征量呈现新特征,这使多类型分布式能源交直流混合电网的故障判断和定位面临了新的挑战。形态滤波器是一种重要的信号处理方法,其通过选取不同长度、不同形状的结构元素,对被测电力信号进行膨胀与腐蚀,从而有效滤除被测电力信号中的干扰分量,保障复杂配电网故障特征量的检测精度。With the large-scale access of multiple types of distributed power sources and the application of AC-DC hybrid power distribution technology, the distribution network has evolved from a traditional single-power source radiating AC power grid to a complex network with multiple power sources in parallel and AC-DC hybrid operation. , its fault transient response and fault feature quantity present new characteristics, which makes the fault judgment and location of multi-type distributed energy AC-DC hybrid grid face new challenges. The morphological filter is an important signal processing method. It expands and corrodes the measured power signal by selecting structural elements of different lengths and shapes, so as to effectively filter out the interference components in the measured power signal and ensure the complex configuration. Detection accuracy of power grid fault feature quantities.

发明内容SUMMARY OF THE INVENTION

发明目的:本发明的目的是提出一种基于形态滤波器的交直流混合电网故障零序电压幅值检测方法,采用广义形态滤波器,通过合适的结构元素,对电网电压进行膨胀与腐蚀,提高电网电压检测的精度,将滤除谐波后的电网电压经过S变换,得到零序电压的幅值。Purpose of the invention: The purpose of the present invention is to propose a method for detecting the fault zero-sequence voltage amplitude of an AC/DC hybrid power grid based on a morphological filter. The generalized morphological filter is used to expand and corrode the grid voltage through suitable structural elements, so as to improve the performance of the grid voltage. The accuracy of the grid voltage detection, the grid voltage after filtering out harmonics is subjected to S-transformation to obtain the amplitude of the zero sequence voltage.

技术方案:本发明提供了一种基于形态滤波器的交直流混合电网故障零序电压幅值检测方法,所述检测方法包括如下步骤:Technical solution: The present invention provides a method for detecting the fault zero-sequence voltage amplitude of an AC/DC hybrid power grid based on a morphological filter. The detection method includes the following steps:

S1:设计广义形态滤波器,采用选用不同尺寸的结构元素的算法,通过级联开闭运算,构造一类广义开-闭滤波器和闭-开滤波器;S1: Design a generalized morphological filter, adopt the algorithm of selecting structural elements of different sizes, and construct a class of generalized open-closed filter and closed-open filter by cascading opening and closing operations;

所述广义开-闭滤波器可表达为:The generalized open-closed filter can be expressed as:

Figure BDA0002571427090000012
Figure BDA0002571427090000012

所述广义闭-开滤波器可表达为:The generalized closed-open filter can be expressed as:

Figure BDA0002571427090000013
Figure BDA0002571427090000013

其中,FOC(x(n))表示广义开闭滤波器,x(n)代表待滤波信号,n为采样点数,

Figure BDA0002571427090000011
g1、g2分别代表两个结构元素,·代表闭运算,
Figure BDA0002571427090000014
代表开运算;Among them, F OC (x(n)) represents the generalized open-closed filter, x(n) represents the signal to be filtered, n is the number of sampling points,
Figure BDA0002571427090000011
g 1 , g 2 represent two structural elements respectively, · represents a closed operation,
Figure BDA0002571427090000014
represents the open operation;

S2:在S1中广义形态滤波器滤波的基础上,利用S变换检测零序电压的幅值。S2: On the basis of filtering by the generalized morphological filter in S1, use S transform to detect the amplitude of the zero-sequence voltage.

进一步地,所述结构元素的选取直接影响了广义形态滤波器的滤波效果,衡量滤波效果的标准为信噪比与均方根误差;Further, the selection of the structural elements directly affects the filtering effect of the generalized morphological filter, and the criterion for measuring the filtering effect is the signal-to-noise ratio and the root mean square error;

所选取的结构元素信噪比SNRchoose满足的条件为:The selected structuring element signal-to-noise ratio SNR choose meets the following conditions:

Figure BDA0002571427090000021
Figure BDA0002571427090000021

所选取的结构元素均方根误差RMSEchoose满足的条件为:The conditions for the selected structural element root mean square error RMSE choose are:

Figure BDA0002571427090000022
Figure BDA0002571427090000022

其中,i=1.2.3…n,n为采样点数,ti为各采样时刻,f(ti)为原始故障电网电压,

Figure BDA0002571427090000023
为滤波后的故障电网电压。Among them, i=1.2.3...n, n is the number of sampling points, t i is each sampling time, f(t i ) is the original fault grid voltage,
Figure BDA0002571427090000023
is the filtered fault grid voltage.

进一步地,所述S2中利用S变换检测零序电压的幅值的步骤包括:Further, the step of detecting the amplitude of the zero-sequence voltage using S transform in the S2 includes:

步骤1:读取电压参数,初始化因子与存储空间;Step 1: Read voltage parameters, initialization factors and storage space;

步骤2:给因子以0.1步长从0到10赋值,每一步计算窗函数W(τ-t,f)与变换后的零序电压幅值提取量S(τ,f);Step 2: Assign a value to the factor from 0 to 10 with a step size of 0.1, and calculate the window function W(τ-t,f) and the transformed zero-sequence voltage amplitude extraction amount S(τ,f) in each step;

Figure BDA0002571427090000024
Figure BDA0002571427090000024

Figure BDA0002571427090000025
Figure BDA0002571427090000025

其中,τ为时间,用于控制窗函数在时间轴上的平移,X(t)为待变换的零序电压信号,f为频率;Among them, τ is the time, which is used to control the translation of the window function on the time axis, X(t) is the zero-sequence voltage signal to be transformed, and f is the frequency;

步骤3:根据最终得到的图像给出零序电压的幅值。。Step 3: According to the final obtained image, the magnitude of the zero-sequence voltage is given. .

有益效果:Beneficial effects:

本发明使用广义形态滤波器时,提高信号抗干扰能力。考虑到零序电压检测中会产生时移性偏差,因此加入了调节因子,确保故障零序电压能够在不同调节因子的窗函数作用下变换,提高了故障零序电压幅值检测的精度。When the generalized morphological filter is used in the present invention, the anti-interference ability of the signal is improved. Considering the time-shift deviation in the zero-sequence voltage detection, an adjustment factor is added to ensure that the fault zero-sequence voltage can be transformed under the action of the window function of different adjustment factors, which improves the detection accuracy of the fault zero-sequence voltage amplitude.

附图说明Description of drawings

图1为基于形态滤波器的交直流混合电网故障零序电压幅值检测决策图;Figure 1 is a decision-making diagram for detecting the zero-sequence voltage amplitude of faults in an AC-DC hybrid grid based on a morphological filter;

图2为S变换的算法流程图;Fig. 2 is the algorithm flow chart of S transform;

图3为故障后电网电压波形图;Figure 3 is the grid voltage waveform diagram after the fault;

图4为经广义形态滤波器滤波后的电网电压波形图;Fig. 4 is the grid voltage waveform diagram filtered by the generalized morphological filter;

图5为经100Hz低通滤波器滤波后的波形图;Figure 5 is a waveform diagram filtered by a 100Hz low-pass filter;

图6为零序电压波形图;Figure 6 is a zero-sequence voltage waveform diagram;

图7为经S变换检测出的零序电压幅值图。Fig. 7 is a zero-sequence voltage amplitude diagram detected by S-transformation.

具体实施方式Detailed ways

下面将结合本发明实施例中的附图,对本发明专利的具体实施方案做更加明确完整地描述。The specific embodiments of the patent of the present invention will be more clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention.

如图1所示,基于形态滤波器的交直流混合电网故障零序电压幅值检测方法决策图,检测方法主要包括两个步骤,分别是:As shown in Figure 1, the decision diagram of the detection method of fault zero-sequence voltage amplitude of AC-DC hybrid grid based on morphological filter, the detection method mainly includes two steps, namely:

步骤1:设计广义形态滤波器。Step 1: Design a generalized morphological filter.

广义形态滤波器是采用一种选用不同尺寸的结构元素的算法,通过级联开闭运算,构造了一类广义开-闭和闭-开滤波器。The generalized morphological filter is a kind of generalized open-closed and closed-open filter constructed by using an algorithm that selects structural elements of different sizes and through cascading open-close operations.

广义开-闭滤波器可表达为:The generalized open-closed filter can be expressed as:

Figure BDA0002571427090000035
Figure BDA0002571427090000035

广义闭-开滤波器可表达为:The generalized closed-open filter can be expressed as:

Figure BDA0002571427090000036
Figure BDA0002571427090000036

其中,FOC(x(n))表示广义开闭滤波器,x(n)代表待滤波信号,n为采样点数,

Figure BDA0002571427090000034
g1、g2分别代表两个结构元素,·代表闭运算,
Figure BDA0002571427090000037
代表开运算;Among them, F OC (x(n)) represents the generalized open-closed filter, x(n) represents the signal to be filtered, n is the number of sampling points,
Figure BDA0002571427090000034
g 1 , g 2 represent two structural elements respectively, · represents a closed operation,
Figure BDA0002571427090000037
represents the open operation;

结构元素的选取直接影响了广义形态滤波器的滤波效果,而衡量滤波效果的标准为为信噪比(SNR)与均方根误差(RMSE)。The selection of structural elements directly affects the filtering effect of the generalized morphological filter, and the criteria for measuring the filtering effect are the signal-to-noise ratio (SNR) and the root mean square error (RMSE).

信噪比(SNR)可表示为:The signal-to-noise ratio (SNR) can be expressed as:

Figure BDA0002571427090000031
Figure BDA0002571427090000031

均方根误差(RMSE)可表示为:The root mean square error (RMSE) can be expressed as:

Figure BDA0002571427090000032
Figure BDA0002571427090000032

式中,i=1.2.3…n,n为采样点数,ti为各采样时刻,f(ti)为原始电力信号,

Figure BDA0002571427090000033
为滤波后的电力信号。In the formula, i=1.2.3...n, n is the number of sampling points, t i is each sampling time, f(t i ) is the original power signal,
Figure BDA0002571427090000033
is the filtered power signal.

所取的结构元素信噪比SNRchoose满足的条件为:The conditions for the SNR choose to be satisfied by the structuring element signal-to-noise ratio SNR choose are:

Figure BDA0002571427090000041
Figure BDA0002571427090000041

所取的结构元素均方根误差RMSEchoose满足的条件为:The selected structural element root mean square error RMSE choose meets the following conditions:

Figure BDA0002571427090000042
Figure BDA0002571427090000042

其中,i=1.2.3…n,n为采样点数,ti为各采样时刻,f(ti)为原始故障电网电压,

Figure BDA0002571427090000043
为滤波后的故障电网电压。Among them, i=1.2.3...n, n is the number of sampling points, t i is each sampling time, f(t i ) is the original fault grid voltage,
Figure BDA0002571427090000043
is the filtered fault grid voltage.

步骤2:利用S变换检测零序电压的幅值。Step 2: Use S transform to detect the amplitude of the zero-sequence voltage.

1)读取电压参数,初始化因子与存储空间。1) Read voltage parameters, initialization factors and storage space.

2)给调节因子以0.1步长从0到10赋值,每一步计算窗函数W(τ-t,f)与变换后的压降提取量S(τ,f)。2) The adjustment factor is assigned a value from 0 to 10 with a step size of 0.1, and the window function W(τ-t, f) and the transformed pressure drop extraction amount S(τ, f) are calculated in each step.

Figure BDA0002571427090000044
Figure BDA0002571427090000044

Figure BDA0002571427090000045
Figure BDA0002571427090000045

其中,τ为时间,用于控制窗函数在时间轴上的平移,X(t)为待变换的零序电压信号,f为频率。Among them, τ is the time, which is used to control the translation of the window function on the time axis, X(t) is the zero-sequence voltage signal to be transformed, and f is the frequency.

3)根据最终得到的图像给出零序电压的幅值。3) According to the final obtained image, the magnitude of the zero-sequence voltage is given.

如图3所示,以图3中的原始电网电压的波形图为例,其包含较多的谐波。经广义形态滤波器滤波后,如图4所示,谐波分量明显减少。原始电网电压经100Hz低通滤波器滤波后仍有大量谐波存在,如图5所示,所以,广义形态滤波器较普通滤波器滤波效果更好。如图6所示,其为零序电压的波形图,经S变换后得到零序电压的幅值为0.3,如图7所示。As shown in FIG. 3 , taking the waveform diagram of the original grid voltage in FIG. 3 as an example, it contains many harmonics. After filtering by the generalized morphological filter, as shown in Figure 4, the harmonic components are significantly reduced. After the original grid voltage is filtered by the 100Hz low-pass filter, there are still a lot of harmonics, as shown in Figure 5. Therefore, the generalized morphological filter has better filtering effect than the ordinary filter. As shown in Figure 6, the waveform of the zero-sequence voltage is obtained after S transformation, and the amplitude of the zero-sequence voltage is 0.3, as shown in Figure 7.

综上所述,本发明使用广义形态滤波器时,提高信号抗干扰能力。考虑到零序电压检测中会产生时移性偏差,加入了调节因子,确保故障零序电压能够在不同调节因子的窗函数作用下变换,提高了故障零序电压幅值检测的精度。To sum up, when the generalized morphological filter is used in the present invention, the anti-interference capability of the signal is improved. Considering the time-shift deviation in the zero-sequence voltage detection, an adjustment factor is added to ensure that the fault zero-sequence voltage can be transformed under the action of the window function of different adjustment factors, which improves the detection accuracy of the fault zero-sequence voltage amplitude.

上述实施方式只为说明本发明的技术构思及特点,其目的在于让熟悉此项技术的人能够了解本发明的内容并据以实施,并不能以此限制本发明的保护范围。凡根据本发明精神实质所做的等效变换或修饰,都应涵盖在本发明的保护范围之内。The above-mentioned embodiments are only intended to illustrate the technical concept and characteristics of the present invention, and the purpose is to enable those who are familiar with the art to understand the content of the present invention and implement it accordingly, and cannot limit the protection scope of the present invention. All equivalent transformations or modifications made according to the spirit of the present invention should be covered within the protection scope of the present invention.

Claims (3)

1. A method for detecting the zero sequence voltage amplitude of an alternating current-direct current hybrid power grid fault based on a morphological filter is characterized by comprising the following steps:
s1: designing a generalized morphological filter, and constructing a generalized open-close filter and a closed-open filter by adopting an algorithm of selecting structural elements with different sizes and through cascade open-close operation;
the generalized on-off filter can be expressed as:
Figure FDA0002571427080000011
the generalized on-off filter can be expressed as:
Figure FDA0002571427080000012
wherein, FOC(x (n)) represents a generalized open-close filter, x (n) represents the signal to be filtered, n is the number of sampling points,
Figure FDA0002571427080000013
g1、g2respectively representing two structural elements,. representing a closed operation,
Figure FDA0002571427080000014
representing an open operation;
s2: and detecting the amplitude of the zero sequence voltage by using S transformation on the basis of the filtering of the generalized morphological filter in S1.
2. The alternating current-direct current hybrid power grid fault zero sequence voltage amplitude detection method based on the morphological filter is characterized in that the selection of the structural elements directly influences the filtering effect of the generalized morphological filter, and the standard for measuring the filtering effect is the signal-to-noise ratio and the root-mean-square error;
selected structuring element SNRchooseThe conditions are satisfied as follows:
Figure FDA0002571427080000015
root Mean Square Error (RMSE) of selected structural elementschooseThe conditions are satisfied as follows:
Figure FDA0002571427080000016
wherein, i is 1.2.3 … n, n is the number of sampling points, tiFor each sampling instant, f (t)i) For the original fault grid voltage,
Figure FDA0002571427080000017
is the filtered fault grid voltage.
3. The AC-DC hybrid power grid fault zero-sequence voltage amplitude detection method based on the morphological filter as claimed in claim 1, wherein the step of detecting the amplitude of the zero-sequence voltage by using S transformation in S2 comprises:
step 1: reading voltage parameters, initialization factors and storage space;
step 2: assigning the factors from 0 to 10 by 0.1 step length, and calculating a window function W (tau-t, f) and a transformed zero sequence voltage amplitude extraction quantity S (tau, f) in each step;
Figure FDA0002571427080000021
Figure FDA0002571427080000022
wherein, tau is time and is used for controlling the translation of the window function on a time axis, X (t) is a zero sequence voltage signal to be converted, and f is frequency;
and step 3: and giving the amplitude of the zero sequence voltage according to the finally obtained image.
CN202010640890.8A 2020-07-06 2020-07-06 A detection method for fault zero-sequence voltage amplitude of AC-DC hybrid grid based on morphological filter Pending CN111965408A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202010640890.8A CN111965408A (en) 2020-07-06 2020-07-06 A detection method for fault zero-sequence voltage amplitude of AC-DC hybrid grid based on morphological filter

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202010640890.8A CN111965408A (en) 2020-07-06 2020-07-06 A detection method for fault zero-sequence voltage amplitude of AC-DC hybrid grid based on morphological filter

Publications (1)

Publication Number Publication Date
CN111965408A true CN111965408A (en) 2020-11-20

Family

ID=73361429

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202010640890.8A Pending CN111965408A (en) 2020-07-06 2020-07-06 A detection method for fault zero-sequence voltage amplitude of AC-DC hybrid grid based on morphological filter

Country Status (1)

Country Link
CN (1) CN111965408A (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114859156A (en) * 2022-04-30 2022-08-05 南京工程学院 Power distribution network fault diagnosis method based on SGS global observation and artificial intelligence

Citations (15)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
GB9613319D0 (en) * 1995-07-03 1996-08-28 Ricoh Kk Method and apparatus for compression using reversible wavelet transforms and an embedded codestream
JPH09312933A (en) * 1996-05-22 1997-12-02 Meidensha Corp Active filter control method
US5995212A (en) * 1998-07-28 1999-11-30 Ciena Corporation System and method for inspecting an optical fiber including an epoxy area surrounding the optical fiber
CN101393248A (en) * 2008-06-18 2009-03-25 昆明理工大学 A Method for Precise Location of Traveling Wave Head of Transmission Line Fault Based on S Transformation
RU2419150C1 (en) * 2010-03-10 2011-05-20 Федеральное Государственное Унитарное Предприятие "Государственный Рязанский Приборный Завод" Method to process sequence of images to detect and follow air objects
US20130079606A1 (en) * 2011-09-23 2013-03-28 Nellcor Puritan Bennett Ireland Systems and methods for determining respiration information from a photoplethysmograph
CN103454537A (en) * 2013-09-16 2013-12-18 国家电网公司 Wind power generation low-voltage ride-through detection equipment and method based on wavelet analysis
CN103901255A (en) * 2014-04-22 2014-07-02 湖南工业大学 Hybrid power filter harmonic current detection method based on generalized weighted morphological filtering theory
CN104808035A (en) * 2014-01-24 2015-07-29 华北电力大学(保定) Method for detecting voltage sag based on generalized hyperbolic S-transformation
CN104931772A (en) * 2015-05-25 2015-09-23 侯新国 A voltage sag inspection method and system based on digital form transformation
CN107462764A (en) * 2017-09-25 2017-12-12 南京灿能电力自动化股份有限公司 A kind of voltage dip detection and the automatic segmentation method portrayed
CN108957248A (en) * 2018-10-09 2018-12-07 国网河南省电力公司洛阳供电公司 A kind of positioning of power distribution network primary fault and method for early warning
CN109858413A (en) * 2019-01-18 2019-06-07 国网江苏省电力有限公司检修分公司 A kind of vibration of reactor signal processing method based on morphological filter
CN109856503A (en) * 2018-12-27 2019-06-07 国网江苏省电力有限公司检修分公司 A kind of power transmission line fault locating method based on S-transformation and synchronous phasor measurement
WO2019149323A1 (en) * 2018-02-02 2019-08-08 Continental Teves Ag & Co. Ohg Method and device for localising and tracking acoustic active sources

Patent Citations (15)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
GB9613319D0 (en) * 1995-07-03 1996-08-28 Ricoh Kk Method and apparatus for compression using reversible wavelet transforms and an embedded codestream
JPH09312933A (en) * 1996-05-22 1997-12-02 Meidensha Corp Active filter control method
US5995212A (en) * 1998-07-28 1999-11-30 Ciena Corporation System and method for inspecting an optical fiber including an epoxy area surrounding the optical fiber
CN101393248A (en) * 2008-06-18 2009-03-25 昆明理工大学 A Method for Precise Location of Traveling Wave Head of Transmission Line Fault Based on S Transformation
RU2419150C1 (en) * 2010-03-10 2011-05-20 Федеральное Государственное Унитарное Предприятие "Государственный Рязанский Приборный Завод" Method to process sequence of images to detect and follow air objects
US20130079606A1 (en) * 2011-09-23 2013-03-28 Nellcor Puritan Bennett Ireland Systems and methods for determining respiration information from a photoplethysmograph
CN103454537A (en) * 2013-09-16 2013-12-18 国家电网公司 Wind power generation low-voltage ride-through detection equipment and method based on wavelet analysis
CN104808035A (en) * 2014-01-24 2015-07-29 华北电力大学(保定) Method for detecting voltage sag based on generalized hyperbolic S-transformation
CN103901255A (en) * 2014-04-22 2014-07-02 湖南工业大学 Hybrid power filter harmonic current detection method based on generalized weighted morphological filtering theory
CN104931772A (en) * 2015-05-25 2015-09-23 侯新国 A voltage sag inspection method and system based on digital form transformation
CN107462764A (en) * 2017-09-25 2017-12-12 南京灿能电力自动化股份有限公司 A kind of voltage dip detection and the automatic segmentation method portrayed
WO2019149323A1 (en) * 2018-02-02 2019-08-08 Continental Teves Ag & Co. Ohg Method and device for localising and tracking acoustic active sources
CN108957248A (en) * 2018-10-09 2018-12-07 国网河南省电力公司洛阳供电公司 A kind of positioning of power distribution network primary fault and method for early warning
CN109856503A (en) * 2018-12-27 2019-06-07 国网江苏省电力有限公司检修分公司 A kind of power transmission line fault locating method based on S-transformation and synchronous phasor measurement
CN109858413A (en) * 2019-01-18 2019-06-07 国网江苏省电力有限公司检修分公司 A kind of vibration of reactor signal processing method based on morphological filter

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
Title
PARIMALA GANDHI A等: "Various feasible maneuvers for the analysis of an image for retrieval of information and optimization", 《2016 ONLINE INTERNATIONAL CONFERENCE ON GREEN ENGINEERING AND TECHNOLOGIES (IC-GET)》 *
唐求等: "基于S变换的平方检测法测量电压闪变", 《中国电机工程学报》 *
郝晓弘等: "基于模糊自适应形态滤波器和S变换的暂态电能质量扰动检测", 《电力系统保护与控制》 *

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114859156A (en) * 2022-04-30 2022-08-05 南京工程学院 Power distribution network fault diagnosis method based on SGS global observation and artificial intelligence

Similar Documents

Publication Publication Date Title
Taghvaie et al. A comprehensive review of harmonic issues and estimation techniques in power system networks based on traditional and artificial intelligence/machine learning
CN111413588B (en) A method of line selection for single-phase grounding fault in distribution network
CN110850164A (en) A Multi-harmonic Responsibility Allocation Method Considering Background Harmonic Voltage Fluctuations and Impedance Changes
CN103944165B (en) A kind of bulk power grid parameter identification method of estimation
CN106154040B (en) A Method for Calculating Equivalent Harmonic Impedance at Single Point Equivalence of Power Grid
CN108830411A (en) A kind of wind power forecasting method based on data processing
CN115932702A (en) Voltage transformer online operation calibration method and device based on virtual standard device
Wei et al. Extended Park's vector method in early inter‐turn short circuit fault detection for the stator windings of offshore wind doubly‐fed induction generators
CN106250904A (en) Based on Power Disturbance analyser and the sorting technique of improving S-transformation
CN107992665A (en) A kind of ultra-high voltage converter station alternating current filter on-line fault diagnosis analysis method
CN103439624B (en) Supertension line fault phase selection method based on voltage fault component
CN119397977B (en) Design method and system of GaN gate driver
CN108918929B (en) An Adaptive Filtering Method for Power Signals in Load Decomposition
CN116911491A (en) Calculation methods, devices, electronic equipment and readable storage media for carbon emissions
CN105305437B (en) The triple confidence level matching discrimination methods of electric load
CN111965408A (en) A detection method for fault zero-sequence voltage amplitude of AC-DC hybrid grid based on morphological filter
CN107516115B (en) A method for extracting typical parameters of load models based on k-medoid algorithm
CN110932755A (en) Distributed low-voltage distribution network line parameter estimation method based on recursive least square method
CN115166625A (en) Smart meter error estimation method and device
CN109193639A (en) A kind of electric system Robust filter method
CN107436415B (en) Working method of online testing system for distributed power grid-connected inverter and capacitor
CN111999695B (en) A state assessment and abnormal diagnosis method of substation metering device
Nayak et al. Comparative study of harmonics estimation in micro grid using adaptive extended Kalman filter
CN117517915A (en) Converter valve assembly level loop fault detection method and device and computer equipment
CN205721844U (en) Based on the Power Disturbance analyser improving S-transformation

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
RJ01 Rejection of invention patent application after publication
RJ01 Rejection of invention patent application after publication

Application publication date: 20201120