[go: up one dir, main page]

CN107423748B - Method for reducing influence of power grid harmonic waves on non-invasive load identification - Google Patents

Method for reducing influence of power grid harmonic waves on non-invasive load identification Download PDF

Info

Publication number
CN107423748B
CN107423748B CN201710247645.9A CN201710247645A CN107423748B CN 107423748 B CN107423748 B CN 107423748B CN 201710247645 A CN201710247645 A CN 201710247645A CN 107423748 B CN107423748 B CN 107423748B
Authority
CN
China
Prior art keywords
current
characteristic quantity
voltage
feature amount
harmonic
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.)
Active
Application number
CN201710247645.9A
Other languages
Chinese (zh)
Other versions
CN107423748A (en
Inventor
曹敏
唐立军
黄星
刘毅
尹福荣
魏龄
赵旭
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.)
Electric Power Research Institute of Yunnan Power Grid Co Ltd
Original Assignee
Electric Power Research Institute of Yunnan Power Grid Co Ltd
Kunming Enersun Technology 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 Electric Power Research Institute of Yunnan Power Grid Co Ltd, Kunming Enersun Technology Co Ltd filed Critical Electric Power Research Institute of Yunnan Power Grid Co Ltd
Priority to CN201710247645.9A priority Critical patent/CN107423748B/en
Publication of CN107423748A publication Critical patent/CN107423748A/en
Application granted granted Critical
Publication of CN107423748B publication Critical patent/CN107423748B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00Pattern recognition
    • G06F18/20Analysing
    • G06F18/21Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
    • G06F18/217Validation; Performance evaluation; Active pattern learning techniques
    • G06F18/2193Validation; Performance evaluation; Active pattern learning techniques based on specific statistical tests

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Data Mining & Analysis (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Artificial Intelligence (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Evolutionary Biology (AREA)
  • Evolutionary Computation (AREA)
  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Probability & Statistics with Applications (AREA)
  • Supply And Distribution Of Alternating Current (AREA)

Abstract

The application relates to the technical field of power monitoring, in particular to a method for reducing influence of power grid harmonic waves on non-invasive load identification. The method comprises the following steps: acquiring a first current characteristic quantity and a first voltage characteristic quantity at a user power inlet; calculating a second current characteristic quantity according to the first current characteristic quantity and a current weight coefficient; calculating a second voltage characteristic quantity according to the first voltage characteristic quantity and a voltage weight coefficient; obtaining a corrected current characteristic quantity according to the second current characteristic quantity and the second voltage characteristic quantity; and identifying the electric load of the user according to the corrected current characteristic quantity. The corrected current characteristic quantity is closer to the current characteristic quantity generated by equipment and has smaller difference with the current characteristic quantity in the power load characteristic library, so that the corrected current characteristic quantity reduces the influence of power grid harmonic waves on user power load identification and is beneficial to improving the load identification precision.

Description

一种降低电网谐波对非侵入式负荷识别影响的方法A method to reduce the influence of grid harmonics on non-intrusive load identification

技术领域technical field

本申请涉及电力监测技术领域,尤其涉及一种降低电网谐波对非侵入式负荷识别影响的方法。The present application relates to the technical field of power monitoring, and in particular, to a method for reducing the influence of power grid harmonics on non-intrusive load identification.

背景技术Background technique

电力负荷监测是电网系统的重要组成部分,其不仅有利于分析负荷组成,引导用户合理消费,降低用电成本,同时还有利于国家电力资源的优化配置。因此,建设高效的负荷监测系统是十分必要的。Power load monitoring is an important part of the power grid system. It is not only conducive to analyzing the load composition, guiding users to consume reasonably, and reducing the cost of electricity consumption, but also conducive to the optimal allocation of national power resources. Therefore, it is very necessary to build an efficient load monitoring system.

目前,非侵入式电力负荷监测识别方法主要包括两大类:基于稳态特征的监测识别技术和基于瞬态特征事件的监测识别技术。基于稳态特征的监测识别技术是采集负荷的稳态谐波、功率等参数,根据负荷特征库,采用一定的分解算法,识别各个主要用电设备的工作状态和用电信息。在把稳态电流谐波作为负荷特征量(或者特征量之一)时,负荷特征库中的电流谐波仅是设备产生的电流谐波。然而,实际中采集到的用户电力入口处的电流谐波,不仅包括设备产生的谐波,而且包括电网产生的谐波,与负荷特征库中的电流谐波有一定差异。At present, non-intrusive power load monitoring and identification methods mainly include two categories: monitoring and identification technology based on steady state characteristics and monitoring and identification technology based on transient characteristic events. The monitoring and identification technology based on the steady-state feature is to collect the steady-state harmonics, power and other parameters of the load. According to the load feature library, a certain decomposition algorithm is used to identify the working state and power consumption information of each main electrical equipment. When taking the steady-state current harmonics as the load characteristic quantity (or one of the characteristic quantities), the current harmonics in the load characteristic library are only the current harmonics generated by the equipment. However, the collected current harmonics at the user's power inlet not only include the harmonics generated by the equipment, but also include the harmonics generated by the power grid, which are different from the current harmonics in the load signature database.

由此可见,电网谐波影响采集到的谐波的准确性,进而影响对用户用电负荷识别的精度。因此,如何减小电网谐波对用户用电负荷监测的影响,成为亟待解决的问题。It can be seen that the power grid harmonics affect the accuracy of the collected harmonics, which in turn affects the accuracy of the user's power load identification. Therefore, how to reduce the influence of power grid harmonics on user power load monitoring has become an urgent problem to be solved.

发明内容SUMMARY OF THE INVENTION

本申请提供一种降低电网谐波对非侵入式负荷识别影响的方法,以解决对用户电力负荷识别精度低的问题。The present application provides a method for reducing the influence of power grid harmonics on non-intrusive load identification, so as to solve the problem of low accuracy of user power load identification.

一种降低电网谐波对非侵入式负荷识别影响的方法,包括:A method of reducing the impact of grid harmonics on non-intrusive load identification, comprising:

获取用户电力入口处的第一电流特征量及第一电压特征量;obtaining the first current characteristic quantity and the first voltage characteristic quantity at the user's power inlet;

根据所述第一电流特征量和电流权重系数,计算第二电流特征量;根据所述第一电压特征量和电压权重系数,计算第二电压特征量;According to the first current feature amount and the current weight coefficient, calculate the second current feature amount; according to the first voltage feature amount and the voltage weight coefficient, calculate the second voltage feature amount;

根据所述第二电流特征量和所述第二电压特征量,获得修正电流特征量;obtaining a corrected current characteristic quantity according to the second current characteristic quantity and the second voltage characteristic quantity;

根据所述修正电流特征量,识别用户的用电负荷。According to the corrected current feature quantity, the power consumption load of the user is identified.

进一步地,所述电流特征量为电流谐波,所述电压特征量为电压谐波。Further, the current characteristic quantities are current harmonics, and the voltage characteristic quantities are voltage harmonics.

进一步地,所述电流特征量为所述电流谐波的幅值,所述电压特征量为所述电压谐波的幅值。Further, the current characteristic quantity is the amplitude of the current harmonic, and the voltage characteristic quantity is the amplitude of the voltage harmonic.

进一步地,所述根据所述第二电流特征量和第二电压特征量,获得修正电流特征量包括:计算所述第二电流特征量和第二电压特征量的差值,获得修正电流特征量。Further, the obtaining the corrected current feature amount according to the second current feature amount and the second voltage feature amount includes: calculating the difference between the second current feature amount and the second voltage feature amount to obtain the corrected current feature amount .

进一步地,所述根据所述修正电流特征量,识别用户的用电负荷包括:根据所述修正电流特征量,采用负荷识别算法识别用户的用电负荷。所述负荷识别算法采用包括但不限于:模式识别算法、构建最优目标函数的优化算法、查表算法、聚类算法。Further, the identifying the power consumption load of the user according to the modified current characteristic amount includes: using a load identification algorithm to identify the power consumption load of the user according to the modified current characteristic amount. The load identification algorithm includes, but is not limited to, a pattern identification algorithm, an optimization algorithm for constructing an optimal objective function, a table lookup algorithm, and a clustering algorithm.

本申请提供的技术方案包括以下有益技术效果:本申请通过给从用户电力入口获得的第一电流特征量乘以电流权重系数,获得第二电流特征量;给从用户电力入口获得的第一电压特征量乘以电压权重系数,获得第二电压特征量。通过计算第二电流特征量和第二电压特征量的差值,获得修正电流特征量。该修正电流特征量与电力负荷特征库中的电流特征量相差较小,因此,修正后的电流特征量降低了电网谐波对用户电力负荷识别的影响,有利于提高负荷识别精度。The technical solution provided by the present application includes the following beneficial technical effects: the present application obtains a second current feature amount by multiplying the first current feature amount obtained from the user power inlet by a current weight coefficient; The feature quantity is multiplied by the voltage weighting coefficient to obtain the second voltage feature quantity. The corrected current characteristic quantity is obtained by calculating the difference between the second current characteristic quantity and the second voltage characteristic quantity. The difference between the corrected current feature and the current feature in the power load feature library is small. Therefore, the corrected current feature reduces the influence of power grid harmonics on the user's power load identification, which is beneficial to improve the load identification accuracy.

附图说明Description of drawings

为了更清楚地说明本申请的技术方案,下面将对实施例中所需要使用的附图作简单地介绍,显而易见地,对于本领域普通技术人员而言,在不付出创造性劳动的前提下,还可以根据这些附图获得其他的附图。In order to illustrate the technical solutions of the present application more clearly, the accompanying drawings required in the embodiments will be briefly introduced below. Obviously, for those of ordinary skill in the art, without creative work, the Additional drawings can be obtained from these drawings.

图1为本申请提供的一种降低电网谐波对非侵入式负荷识别影响的方法的流程图。FIG. 1 is a flowchart of a method for reducing the influence of power grid harmonics on non-intrusive load identification provided by the present application.

具体实施方式Detailed ways

此处的附图被并入说明书中并构成本说明书的一部分,示出了符合本申请的实施例,并与说明书一起用于解释本申请的原理。The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the application and together with the description serve to explain the principles of the application.

为了更清楚地说明本申请实施例或现有技术中的技术方案,下面将对实施例或现有技术描述中所需要使用的附图作简单地介绍,显而易见地,对于本领域普通技术人员而言,在不付出创造性劳动性的前提下,还可以根据这些附图获得其他的附图。In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the following briefly introduces the accompanying drawings that need to be used in the description of the embodiments or the prior art. In other words, on the premise of no creative labor, other drawings can also be obtained from these drawings.

本发明实施例提供一种降低电网谐波对非侵入式负荷识别影响的方法,如图1所示,并结合用户的负载为R1线性负载的情况,对该方法的步骤进行如下说明。需要说明的是,该方法同样适用于不限于线性负载的其他类型的负载。The embodiment of the present invention provides a method for reducing the influence of grid harmonics on non - intrusive load identification, as shown in FIG. It should be noted that this method is also applicable to other types of loads that are not limited to linear loads.

步骤一、获取用户电力入口处的第一电流特征量及第一电压特征量。Step 1: Obtain the first current characteristic quantity and the first voltage characteristic quantity at the user's power inlet.

具体地,获取用户电力入口处的第一电压谐波作为第一电压特征量,获取用户电力入口处的第一电流谐波作为第一电流特征量。Specifically, the first voltage harmonic at the user's power inlet is obtained as the first voltage feature quantity, and the first current harmonic at the user's power inlet is obtained as the first current feature quantity.

该第一电压谐波为:The first voltage harmonic is:

URmains=A1 cos(ωt+θ1)+A2 cos(2ωt+θ2)+......+Ak cos(kωt+θk) (1)U Rmains =A 1 cos(ωt+θ 1 )+A 2 cos(2ωt+θ 2 )+...+A k cos(kωt+θ k ) (1)

其中,A1为电压谐波中基波的幅值;A2,......,Ak为电压谐波中各次波的幅值;ω=2πf为基波的角频率,f为基波频率;θ1为电压谐波基波的初相角,θ2,......,θk为电压谐波中各次波的初相角;t为时间。Among them, A 1 is the amplitude of the fundamental wave in the voltage harmonic; A 2 ,...,A k is the amplitude of each order in the voltage harmonic; ω=2πf is the angular frequency of the fundamental wave, f is the frequency of the fundamental wave; θ 1 is the initial phase angle of the voltage harmonic fundamental wave, θ 2 , ......, θ k is the initial phase angle of each order in the voltage harmonic wave; t is the time.

对于用户的线性负载R1,根据欧姆定律可得:For the user's linear load R 1 , according to Ohm's law:

Figure GDA0002581125030000021
Figure GDA0002581125030000021

因此,第一电流谐波可表示为:Therefore, the first current harmonic can be expressed as:

Figure GDA0002581125030000031
Figure GDA0002581125030000031

其中,

Figure GDA0002581125030000032
为电流谐波中基波的幅值;
Figure GDA0002581125030000033
为电流谐波中各次波的幅值;ω=2πf为基波角频率,f为基波频率;θ1为电流谐波中基波的初相角,θ2,......,θk为电流谐波中各次波的初相角;t为时间。in,
Figure GDA0002581125030000032
is the amplitude of the fundamental wave in the current harmonic;
Figure GDA0002581125030000033
is the amplitude of each wave in the current harmonics; ω=2πf is the angular frequency of the fundamental wave, f is the fundamental wave frequency; θ 1 is the initial phase angle of the fundamental wave in the current harmonic, θ 2 ,...... , θ k is the initial phase angle of each wave in the current harmonics; t is the time.

一般情况下,以负荷特征库的特征量为基准,对获取的第一电流谐波IRR1采用一定的分解算法,识别用户不同用电器的工作状态。In general, a certain decomposition algorithm is used for the acquired first current harmonic I RR1 based on the characteristic quantities of the load characteristic library to identify the working states of different electrical appliances of the user.

负荷特征库的电流谐波为设备产生的谐波,该设备谐波是在电网谐波极小,可以不考虑其影响的环境下测量得到的,即A2,......,Ak各次波幅值为0,其对应的电压谐波为:The current harmonics of the load signature library are the harmonics generated by the equipment. The harmonics of the equipment are measured in the environment where the harmonics of the power grid are extremely small and can be ignored without considering its influence, that is, A 2 , ......, A The amplitude of each order of k is 0, and the corresponding voltage harmonics are:

URmains=A1 cos(ωt+θ1) (4)U Rmains = A 1 cos(ωt+θ 1 ) (4)

在不考虑谐波中电网谐波影响的情况下,对于用户的线性负载R1,负荷特征库的电流谐波为:Without considering the influence of power grid harmonics in harmonics, for the user's linear load R 1 , the current harmonics of the load signature library are:

Figure GDA0002581125030000034
Figure GDA0002581125030000034

而实际采集到的电阻R1对应的电流谐波为式(3)所示的IRR1。对比二者可以发现,ITR1与IRR1之间的存在偏差,该偏差将影响最终用电负荷的识别精度。And the current harmonic corresponding to the resistance R 1 actually collected is I RR1 shown in the formula (3). Comparing the two, it can be found that there is a deviation between I TR1 and I RR1 , which will affect the identification accuracy of the final electricity load.

步骤二、根据所述第一电流特征量和电流权重系数,计算第二电流特征量;根据所述第一电压特征量和电压权重系数,计算第二电压特征量。Step 2: Calculate a second current characteristic quantity according to the first current characteristic quantity and the current weighting coefficient; calculate a second voltage characteristic quantity according to the first voltage characteristic quantity and the voltage weighting coefficient.

由于谐波较为复杂,为简化计算,此处将电流谐波的幅值作为电流特征量,将电压谐波的幅值作为电压特征量,用于表示谐波在计算过程中的变化。具体地,将所述第一电压谐波的幅值记为UHARmains;将线性电阻R1负荷下,采集的第一电流谐波的幅值记为IHARR1;将负荷特征库中,负载电阻R1的电流谐波的幅值记为IHATR1Due to the complexity of harmonics, in order to simplify the calculation, the amplitude of the current harmonics is used as the current characteristic quantity, and the amplitude of the voltage harmonics is used as the voltage characteristic quantity to represent the changes of the harmonics in the calculation process. Specifically, the amplitude of the first voltage harmonic is denoted as U HARmains ; the amplitude of the first current harmonic collected under the load of the linear resistance R 1 is denoted as I HARR1 ; in the load characteristic library, the load resistance The magnitude of the current harmonic of R 1 is denoted as I HATR1 .

为便于表述,将UHARmains、IHARR1和IHATR1分别以其基波幅值为基准的标幺值表示,具体地,基波幅值的标幺值为1,各次谐波的标幺值为其幅值与基波幅值的比值。For the convenience of expression, U HARmains , I HARR1 and I HATR1 are respectively represented by the per-unit value of their fundamental wave amplitude as the reference. Specifically, the per-unit value of the fundamental wave amplitude is 1, and the per-unit value of each harmonic is is the ratio of its amplitude to the fundamental amplitude.

根据式(1)可得:According to formula (1), we can get:

Figure GDA0002581125030000035
Figure GDA0002581125030000035

其中,uHARmains1为第一电压谐波中基波的幅值标幺值,uHARmainsk为第一电压谐波中,K次谐波的幅值标幺值。Wherein, u HARmains1 is the per-unit value of the amplitude of the fundamental wave in the first voltage harmonic, and u HARmainsk is the per-unit value of the amplitude of the K-th harmonic in the first voltage harmonic.

根据式(2)可得:According to formula (2), we can get:

Figure GDA0002581125030000036
Figure GDA0002581125030000036

其中,iHARR1为第一电流谐波中基波的幅值标幺值;iHARRk为第一电流谐波中,K次谐波的幅值标幺值。Wherein, i HARR1 is the per-unit value of the amplitude of the fundamental wave in the first current harmonic; i HARRk is the per-unit value of the amplitude of the K-th harmonic in the first current harmonic.

根据式(5)可得:According to formula (5), we can get:

IHATR1=[iHATR1,0,0,......,0]=[1,0,0,......,0] (8)I HATR1 =[i HATR1 , 0, 0, ..., 0] = [1, 0, 0, ..., 0] (8)

其中,iHATR1为负荷特征库的电流谐波中,基波的幅值标幺值。Among them, i HATR1 is the per-unit value of the fundamental wave amplitude in the current harmonics of the load characteristic library.

进一步地,根据所述第一电流谐波的幅值和电流权重系数,计算第二电流谐波幅值;根据所述第一电压谐波的幅值和电压权重系数,计算第二电压谐波幅值。Further, calculate the second current harmonic amplitude according to the amplitude of the first current harmonic and the current weighting coefficient; calculate the second voltage harmonic according to the amplitude and the voltage weighting coefficient of the first voltage harmonic Amplitude.

具体地,电压权重系数为ρu,电流权重系数为ρi,相应地,所述基波和各次波的第二电压谐波幅值为ρuuHARmainsn,所述基波和各次波的第二电流谐波幅值为ρiiHATRnSpecifically, the voltage weighting coefficient is ρ u , the current weighting coefficient is ρ i , correspondingly, the amplitude of the second voltage harmonic of the fundamental wave and each order wave is ρ u u HARmainsn , the fundamental wave and each order wave are The second current harmonic amplitude of is ρ i i HATRn .

第二电压谐波的幅值为:The magnitude of the second voltage harmonic is:

Figure GDA0002581125030000041
Figure GDA0002581125030000041

第二电流谐波的幅值为:The magnitude of the second current harmonic is:

Figure GDA0002581125030000042
Figure GDA0002581125030000042

步骤三、根据所述第二电流特征量和所述第二电压特征量,获得修正电流特征量。Step 3: Obtain a corrected current characteristic quantity according to the second current characteristic quantity and the second voltage characteristic quantity.

具体地,根据式(9)和式(10),对电流特征量中二次及二次以上的谐波,即电网谐波,按照如下所示差值进行修正:ρiiHARRkuuHARmainsk,其中,k≧2。Specifically, according to equations (9) and (10), the harmonics of the second order and above in the current characteristic quantity, that is, the power grid harmonics, are corrected according to the difference as shown below: ρ i i HARRk -ρ u u HARmainsk , where k≧2.

对不同类型负载,电网谐波对电流谐波的作用程度有差别,ρi和ρu的取值不同。一般地,ρi取ρi=1;对于不同类型负载,建议ρu取值范围为(0,1],对于本发明实施例中的线性负载R1,具体地,取ρu=1,修正后的电流谐波幅值IHARR1_CAL为:For different types of loads, the effect of grid harmonics on current harmonics is different, and the values of ρ i and ρ u are different. Generally, ρ i takes ρ i =1; for different types of loads, it is recommended that ρ u take a value in the range of (0,1]. The resulting current harmonic amplitude I HARR1_CAL is:

IHARR1_CAL=[1,0,0,......,0]I HARR1_CAL = [1, 0, 0, ..., 0]

可以看出,修正后的电流谐波幅值IHARR1_CAL与式(8)所示的负荷特征库中,电流谐波对应的幅值相差较小。It can be seen that the amplitudes corresponding to the current harmonics in the corrected current harmonic amplitude I HARR1_CAL and the load characteristic library shown in Equation (8) have a small difference.

本申请通过对电流谐波进行修正,减弱了电流谐波中的电网谐波,获得修正电流特征量,该修正电流特征量更接近于电力负荷特征库中的基准设备谐波。因此,修正后的电流谐波降低了电网谐波对用户电力负荷识别的影响,有利于提高负荷识别精度。In the present application, by correcting the current harmonics, the power grid harmonics in the current harmonics are weakened, and the corrected current characteristic quantity is obtained, and the corrected current characteristic quantity is closer to the reference equipment harmonics in the power load characteristic database. Therefore, the corrected current harmonics reduce the influence of power grid harmonics on user power load identification, which is beneficial to improve the load identification accuracy.

需要说明的是,当基波及各次波幅值用实际值而非标幺值表示时,ρu取值范围为(0,χ],其中,χ为电流谐波幅值与电压谐波幅值的比值。对于本发明实施例中的线性负载R1,具体地,χ=1/R1,取ρu=1/R1It should be noted that when the fundamental wave and the amplitudes of each order are represented by actual values rather than per unit values, the value range of ρ u is (0, χ], where χ is the current harmonic amplitude and the voltage harmonic amplitude. For the linear load R1 in the embodiment of the present invention, specifically, χ=1/R 1 , and ρ u =1/R 1 is taken.

步骤四、根据所述修正电流特征量,识别用户的用电负荷。Step 4: Identify the user's electricity load according to the corrected current feature quantity.

具体地,可采用模式识别算法、构建最优目标函数的优化算法、查表算法、聚类算法等方法进行用户电力负荷识别。Specifically, a pattern recognition algorithm, an optimization algorithm for constructing an optimal objective function, a table look-up algorithm, and a clustering algorithm can be used to identify the user's power load.

需要说明的是,诸如“第一”和“第二”等之类的关系术语仅仅用来将一个实体或者操作与另一个实体或操作区分开来,而不一定要求或者暗示这些实体或操作之间存在任何这种实际的关系或者顺序。而且,术语“包括”、“包含”或者其任何其他变体意在涵盖非排他性的包含,从而使得包括一系列要素的物品或者设备不仅包括那些要素,而且还包括没有明确列出的其他要素,或者是还包括为这种过程、方法、物品或者设备所固有的要素。在没有更多限制的情况下,由语句“包括一个……”限定的要素,并不排除在包括所述要素的过程、方法、物品或者设备中还存在另外的相同要素。It should be noted that relational terms such as "first" and "second" etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply that these entities or operations are related. any such actual relationship or sequence exists. Furthermore, the terms "comprising", "comprising" or any other variation thereof are intended to encompass a non-exclusive inclusion such that an article or device comprising a list of elements includes not only those elements, but also other elements not expressly listed, Or also include elements inherent to such a process, method, article or apparatus. Without further limitation, an element qualified by the phrase "comprising a..." does not preclude the presence of additional identical elements in a process, method, article or apparatus that includes the element.

以上所述仅是本申请的具体实施方式,使本领域技术人员能够理解或实现本申请。对这些实施例的多种修改对本领域的技术人员来说将是显而易见的,本文中所定义的一般原理可以在不脱离本申请的精神或范围的情况下,在其它实施例中实现。因此,本申请将不会被限制于本文所示的这些实施例,而是要符合与本文所公开的原理和新颖特点相一致的最宽的范围。The above descriptions are only specific embodiments of the present application, so that those skilled in the art can understand or implement the present application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present application. Therefore, this application is not intended to be limited to the embodiments shown herein, but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

应当理解的是,本申请并不局限于上面已经描述的内容,并且可以在不脱离其范围进行各种修改和改变。本申请的范围仅由所附的权利要求来限制。It should be understood that the present application is not limited to what has been described above and that various modifications and changes may be made without departing from its scope. The scope of the application is limited only by the appended claims.

Claims (3)

1.一种降低电网谐波对非侵入式负荷识别影响的方法,其特征在于,所述方法包括:1. A method for reducing the influence of power grid harmonics on non-intrusive load identification, wherein the method comprises: 获取用户电力入口处的第一电流特征量及第一电压特征量;obtaining the first current characteristic quantity and the first voltage characteristic quantity at the user's power inlet; 根据所述第一电流特征量和电流权重系数,计算第二电流特征量;根据所述第一电压特征量和电压权重系数,计算第二电压特征量;According to the first current feature amount and the current weight coefficient, calculate the second current feature amount; according to the first voltage feature amount and the voltage weight coefficient, calculate the second voltage feature amount; 根据所述第二电流特征量和所述第二电压特征量,获得修正电流特征量,计算所述第二电流特征量和所述第二电压特征量的差值,对电流特征量中二次及二次以上的谐波,按照如下所示差值进行修正:According to the second current feature amount and the second voltage feature amount, a corrected current feature amount is obtained, the difference between the second current feature amount and the second voltage feature amount is calculated, and the quadratic value of the current feature amount is calculated. and harmonics of the second or higher order are corrected according to the difference as shown below: ρiiHARRkuuHARmainsk ρ i i HARRk -ρ u u HARmainsk 式中,ρi为电流权重系数,ρu为电压权重系数,iHARRk为第K次电流谐波的幅值标幺值,uHARmainsk为第K次电压谐波的幅值标幺值,k≧2;对不同类型负载,电网谐波对电流谐波的作用程度有差别,ρi和ρu的取值不同;得到修正后的电流谐波幅值IHARR1_CAL,即获得修正电流特征量;In the formula, ρ i is the current weight coefficient, ρ u is the voltage weight coefficient, i HARRk is the per-unit value of the amplitude of the K-th current harmonic, u HARmainsk is the per-unit value of the amplitude of the K-th voltage harmonic, k ≧2; for different types of loads, the effect of power grid harmonics on current harmonics is different, and the values of ρ i and ρ u are different; the corrected current harmonic amplitude I HARR1_CAL is obtained, that is, the corrected current characteristic quantity is obtained; 根据所述修正电流特征量,识别用户的用电负荷;Identify the user's electricity load according to the corrected current feature quantity; 其中,所述电流特征量为电流谐波,所述电压特征量为电压谐波;所述电流特征量为所述电流谐波的幅值,所述电压特征量为所述电压谐波的幅值。Wherein, the current characteristic quantity is the current harmonic, the voltage characteristic quantity is the voltage harmonic; the current characteristic quantity is the amplitude of the current harmonic, and the voltage characteristic quantity is the amplitude of the voltage harmonic value. 2.根据权利要求1所述的方法,其特征在于,所述根据所述第二电流特征量和第二电压特征量,获得修正电流特征量包括:2 . The method according to claim 1 , wherein the obtaining a corrected current characteristic quantity according to the second current characteristic quantity and the second voltage characteristic quantity comprises: 2 . 计算所述第二电流特征量和第二电压特征量的差值,获得修正电流特征量。Calculate the difference between the second current feature amount and the second voltage feature amount to obtain a corrected current feature amount. 3.根据权利要求1所述的方法,其特征在于,所述根据所述修正电流特征量,识别用户的用电负荷包括:3 . The method according to claim 1 , wherein the identifying the user's electricity load according to the corrected current feature quantity comprises: 3 . 根据所述修正电流特征量,采用负荷识别算法识别用户的用电负荷;所述负荷识别算法采用包括但不限于:模式识别算法、构建最优目标函数的优化算法、查表算法、聚类算法。According to the corrected current feature quantity, a load identification algorithm is used to identify the user's electricity load; the load identification algorithm adopts, but is not limited to: a pattern identification algorithm, an optimization algorithm for constructing an optimal objective function, a table lookup algorithm, and a clustering algorithm .
CN201710247645.9A 2017-04-17 2017-04-17 Method for reducing influence of power grid harmonic waves on non-invasive load identification Active CN107423748B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201710247645.9A CN107423748B (en) 2017-04-17 2017-04-17 Method for reducing influence of power grid harmonic waves on non-invasive load identification

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201710247645.9A CN107423748B (en) 2017-04-17 2017-04-17 Method for reducing influence of power grid harmonic waves on non-invasive load identification

Publications (2)

Publication Number Publication Date
CN107423748A CN107423748A (en) 2017-12-01
CN107423748B true CN107423748B (en) 2020-08-25

Family

ID=60423611

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201710247645.9A Active CN107423748B (en) 2017-04-17 2017-04-17 Method for reducing influence of power grid harmonic waves on non-invasive load identification

Country Status (1)

Country Link
CN (1) CN107423748B (en)

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101551444A (en) * 2008-04-03 2009-10-07 现代自动车株式会社 Method for estimating remaining capacity of battery
CN103001230A (en) * 2012-11-16 2013-03-27 天津大学 Non-invasive power load monitoring and decomposing current mode matching method
CN106124850A (en) * 2016-07-20 2016-11-16 国网江西省电力公司南昌供电分公司 A kind of load identification system for domestic intelligent electricity meter based on similarity algorithm and load recognition methods thereof
CN106338397A (en) * 2016-09-30 2017-01-18 哈尔滨理工大学 Sensorless detection method-based wind driven generator rolling bearing fault diagnosis device
CN106443233A (en) * 2016-08-26 2017-02-22 北京电力经济技术研究院 Non-invasive steady-state load monitoring method

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
TWI535138B (en) * 2014-08-01 2016-05-21 智上科技股份有限公司 Electronic device and detection method thereof

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101551444A (en) * 2008-04-03 2009-10-07 现代自动车株式会社 Method for estimating remaining capacity of battery
CN103001230A (en) * 2012-11-16 2013-03-27 天津大学 Non-invasive power load monitoring and decomposing current mode matching method
CN106124850A (en) * 2016-07-20 2016-11-16 国网江西省电力公司南昌供电分公司 A kind of load identification system for domestic intelligent electricity meter based on similarity algorithm and load recognition methods thereof
CN106443233A (en) * 2016-08-26 2017-02-22 北京电力经济技术研究院 Non-invasive steady-state load monitoring method
CN106338397A (en) * 2016-09-30 2017-01-18 哈尔滨理工大学 Sensorless detection method-based wind driven generator rolling bearing fault diagnosis device

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
基于差量特征提取与模糊聚类的非侵入式负荷监测方法;孙毅等;《电力系统自动化》;20170225;第41卷(第4期);全文 *

Also Published As

Publication number Publication date
CN107423748A (en) 2017-12-01

Similar Documents

Publication Publication Date Title
CN107025365B (en) A kind of non-intruding load discrimination method for user side
CN108667048B (en) Frequency domain stability judging method and device for oscillation stability of new energy grid-connected system
CN107359612B (en) A comprehensive evaluation method for the influence of power quality on energy consumption of distribution network
CN103235180B (en) A kind of electrical network inter-harmonic wave measuring method
CN111209976B (en) A non-intrusive load monitoring method and system
CN102662106B (en) Method for measuring electric energy of harmonic power network
CN102253266B (en) Three-phase four-wire system harmonic current detection method based on linear filter
Zhang et al. A non-intrusive identification method of harmonic source loads for industrial users
CN102818930B (en) Method for quickly calculating power harmonic parameters in high-accuracy mode
CN110045186A (en) System harmonic impedance estimation method and system at electric system points of common connection
CN108535529A (en) Alternating current micro-grid voltage distortion degree evaluation method considering fundamental frequency change
CN105606900A (en) Single-phase harmonic impedance measuring method based on square wave signals
CN113640584A (en) A System Harmonic Impedance Estimation Method Based on Impedance Deviation Minimum Criterion
CN108918929A (en) Power signal adaptive filter method in a kind of load decomposition
Rathore et al. Non intrusive load monitoring and load disaggregation using transient data analysis
CN105866585B (en) A kind of harmonic wave identifing source and division of responsibiltiy method based on distortion power
Jiang et al. Assessment method of harmonic emission level based on the improved weighted support vector machine regression
CN101865963A (en) A New Rapid Detection Method for Relay Protection Device
CN107423748B (en) Method for reducing influence of power grid harmonic waves on non-invasive load identification
CN116613751B (en) A small interference stability analysis method and system for new energy grid-connected systems
CN107870266B (en) Three-phase photovoltaic grid-connected inverter power grid impedance inductance detection method
CN107017637B (en) A kind of simplified modeling evaluating method of three phase rectifier unit harmonic power
CN110896218B (en) A Harmonic Modeling Method and System for Establishing Aggregate Residential Loads
CN110702981A (en) A load switch event detection method and system using classification tree
CN110542855B (en) Load switch event detection method and system based on discrete cosine transform

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant
TR01 Transfer of patent right
TR01 Transfer of patent right

Effective date of registration: 20230105

Address after: No.105, Yunda West Road, Kunming Economic and Technological Development Zone, Yunnan 650000

Patentee after: ELECTRIC POWER RESEARCH INSTITUTE, YUNNAN POWER GRID Co.,Ltd.

Address before: 650217 No. 105 Yunda West Road, Kunming Economic and Technological Development Zone, Yunnan Province

Patentee before: ELECTRIC POWER RESEARCH INSTITUTE, YUNNAN POWER GRID Co.,Ltd.

Patentee before: KUNMING ENERSUN TECHNOLOGY Co.,Ltd.