WO2024078010A1 - 电能表计量失准分析方法、装置、存储介质及电子设备 - Google Patents

电能表计量失准分析方法、装置、存储介质及电子设备 Download PDF

Info

Publication number
WO2024078010A1
WO2024078010A1 PCT/CN2023/102541 CN2023102541W WO2024078010A1 WO 2024078010 A1 WO2024078010 A1 WO 2024078010A1 CN 2023102541 W CN2023102541 W CN 2023102541W WO 2024078010 A1 WO2024078010 A1 WO 2024078010A1
Authority
WO
WIPO (PCT)
Prior art keywords
meter
sub
electric energy
box
data sequence
Prior art date
Application number
PCT/CN2023/102541
Other languages
English (en)
French (fr)
Inventor
樊琳
王祥
庞振江
王文赫
杜君
白鹏飞
姜帆
胡启龙
易玲
王鑫
梁华
秦理想
许晶
刘永富
崔永旭
甄明
Original Assignee
北京智芯微电子科技有限公司
北京智芯半导体科技有限公司
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 北京智芯微电子科技有限公司, 北京智芯半导体科技有限公司 filed Critical 北京智芯微电子科技有限公司
Publication of WO2024078010A1 publication Critical patent/WO2024078010A1/zh

Links

Classifications

    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R35/00Testing or calibrating of apparatus covered by the other groups of this subclass
    • G01R35/04Testing or calibrating of apparatus covered by the other groups of this subclass of instruments for measuring time integral of power or current
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/10Complex mathematical operations
    • G06F17/16Matrix or vector computation, e.g. matrix-matrix or matrix-vector multiplication, matrix factorization

Definitions

  • the present invention relates to the field of power electronics technology, and in particular to a method, device, storage medium and electronic equipment for analyzing inaccuracy in measurement of an electric energy meter.
  • the smart meter data collected by the traditional electricity information collection system can no longer meet the needs, and it is also necessary to fully sense the electrical and environmental status of nodes such as meter boxes and branch boxes, as well as branch lines.
  • the smart measurement switch is applied to the internal line inlet of the meter box, and is an important device that supports substation topology identification, line loss analysis, and replacement of inaccurate electricity meters.
  • the relevant technology proposes to use characteristic current to realize electrical line topology identification.
  • the master station needs to send files to the terminal in advance, and the terminal will send the characteristic current to the STA sub-nodes of the entire area by appointment.
  • the topology identification of the entire area is heavily dependent on the clock synchronization of the entire area.
  • the identification timeliness and accuracy are affected by clock synchronization, file integrity and accuracy.
  • the present invention aims to solve one of the technical problems in the related art at least to a certain extent.
  • the first object of the present invention is to provide an electric energy meter mismeasurement analysis method.
  • the analysis method starts from the meter box end, and the electric energy meter mismeasurement analysis result obtained has high accuracy, and the analysis method has simple logic and high efficiency.
  • the second object of the present invention is to provide an electric energy meter measurement inaccuracy analysis device.
  • a third object of the present invention is to provide a computer-readable storage medium.
  • a fourth objective of the present invention is to provide an electronic device.
  • the first aspect of the present invention proposes an electric energy meter measurement inaccuracy analysis method, comprising: obtaining the electricity data sequence of each sub-meter in the meter box and the total meter data sequence of the meter box; establishing a matrix equation according to the electricity data sequence and the total meter data sequence; determining the abnormal coefficient of each sub-meter in the meter box according to the matrix equation and preset constraints, and judging whether the corresponding sub-meter is inaccurate according to the abnormal coefficient.
  • the second aspect of the present invention proposes an electric energy meter measurement mismatch analysis device, comprising: an acquisition module, used to acquire the electricity data sequence of each sub-meter in the meter box and the total meter data sequence of the meter box; an establishment module, used to establish a matrix equation according to the electricity data sequence and the total meter data sequence; a determination module, used to determine the abnormal coefficient of each sub-meter in the meter box according to the matrix equation and preset constraints, and judge whether the corresponding sub-meter has measurement mismatch according to the abnormal coefficient.
  • a computer-readable storage medium is proposed in the third aspect of the present invention.
  • the computer program is executed by a processor, the method for analyzing the misalignment of the electric energy meter as described in the first aspect of the present invention is implemented.
  • the electronic device proposed in the fourth aspect of the embodiment of the present invention includes a memory, a processor and a computer program stored in the memory and executable on the processor.
  • the processor executes the program, the method for analyzing the inaccuracy of electric energy meter measurement as described in the first aspect of the embodiment of the present invention is implemented.
  • a matrix equation of the electric quantity data sequence of each sub-meter in the meter box and the total meter data sequence of the meter box is established, and the matrix equation is calculated under preset constraints to determine the abnormal coefficient of each sub-meter in the meter box, and judge whether the corresponding sub-meter is in a metering mismeasurement state according to the abnormal coefficient.
  • the analysis process has simple logic and high efficiency, and the analysis process starts from the meter box end, so that the obtained electric energy meter mismeasurement analysis result has high accuracy.
  • FIG1 is a flow chart of a method for analyzing an electric energy meter measurement inaccuracy according to an embodiment of the present invention
  • FIG. 2 is a flow chart of determining whether a corresponding sub-meter has metering inaccuracy according to an abnormal coefficient in a method for analyzing metering inaccuracy of an electric energy meter according to an embodiment of the present invention
  • FIG. 3 is a schematic diagram of the structure of an electric energy meter measurement misalignment analysis device according to an embodiment of the present invention.
  • FIG4 is a schematic diagram of the structure of an electric energy meter measurement misalignment analysis device according to an example of the present invention.
  • Fig. 1 is a flow chart of a method for analyzing an electric energy meter mismeasurement according to an embodiment of the present invention. As shown in Fig. 1, in some embodiments, the method for analyzing an electric energy meter mismeasurement may include:
  • the electric quantity data sequence and the total meter data sequence are obtained through a measuring switch, wherein the measuring switch is arranged at the incoming line of the meter box and is communicatively connected with each sub-meter in the meter box.
  • the measuring switch and each sub-meter in the meter box are connected to each other through an RS485 interface or a carrier interface.
  • the communication connection mode of the carrier interface by adding a reading controller to the interconnection standard, the total meter data of the meter box and the power data of each sub-meter in the meter box can be read.
  • the above-mentioned electricity data sequence can be constructed according to the electricity data of the corresponding sub-meter within the preset time
  • the total table data sequence can be constructed according to the total table data of the table box within the preset time, wherein the preset time can be selected according to actual conditions.
  • the measuring switch when applied to the electric meter, it may specifically include a measurement function, and/or a timing function, and/or a clock function, and/or an electric energy freezing function, and/or an event recording function, and/or a communication function, and/or a topological function, etc. Therefore, in this embodiment, the total meter data of the meter box within a preset time can be obtained through the measuring switch arranged at the incoming line of the meter box, and then the total meter data sequence can be constructed.
  • the measuring switch is connected to the communication between the sub-meters in the meter box to obtain the electric quantity data of each sub-meter within a preset time, and then the electric quantity data sequence can be constructed, so that the metering status of the electric energy meter can be determined according to the total meter data sequence and the electric quantity data sequence.
  • the measurement switch is also used to identify electrical topology based on distorted voltage and characteristic current, so as to solve the problem of low efficiency of topology identification using only characteristic current in related technologies.
  • the carrier module of the measurement switch receives the CCO master node signal sent by the station area terminal in the form of voltage distortion signal.
  • the address can only be received by the STA subnodes in the current area, and the STA in the area can purposefully join its own CCO, thereby realizing the corresponding relationship between STA and CCO.
  • the terminal CCO When the terminal CCO receives the network access signal of all STAs in the current area, it uses the roll call method to let each STA send the characteristic current, and then reads the records of each STA for analysis and comparison, so as to realize the identification of the power supply relationship in the area.
  • the CCO main node address is modulated into a distorted signal, and the distorted signal is transmitted through the power line.
  • the signal is a voltage signal
  • the voltage signal does not cross the substation or cross the phase, which can ensure that all STA sub-nodes under the substation receive it directly.
  • the MCU Microprocessor Controller Unit
  • the measuring switch After the MCU (Microprocessor Controller Unit) of the measuring switch detects the distorted signal crossing the zero point, it starts the timer, captures and extracts the voltage distortion signal near the zero point, and processes and demodulates the CCO main node address. STA receives the CCO main node address and stores it.
  • the CCO notifies all STAs under the substation to send characteristic current signals by calling the roll.
  • the measuring switch side generates a characteristic current signal that satisfies a certain frequency domain law between the neutral and live wires of the line by means of resistor switching.
  • the characteristic signal generated by the lower node can be identified and the time tag of the identified characteristic signal can be recorded.
  • the substation management terminal After all the belonging nodes under the current substation have executed a characteristic current transmission, the substation management terminal reads the timestamp records saved by all nodes and compares and analyzes the timestamps, thereby realizing the identification of the upper and lower levels of the power supply relationship.
  • the matrix equation is solved under the preset constraints to obtain the
  • the abnormal coefficient of each sub-table obtained is compared with the preset abnormal threshold coefficient. If the abnormal coefficient of any sub-table exceeds the preset abnormal threshold coefficient, it is determined that the sub-meter is inaccurate. It should be noted that the above method of judging the metering inaccuracy of the electric energy meter by the method of presetting the abnormal threshold coefficient is only exemplary and is not intended to limit the embodiments of the present invention.
  • the method for analyzing the inaccurate metering of electric energy meters can not only analyze the inaccurate metering of sub-meters in the electrical box, but also determine whether the sub-meters corresponding to the calculated abnormal coefficients have committed electricity theft by analyzing the abnormal coefficients of the sub-meters in the embodiment of the present invention, thereby ensuring the safety of the power lines during the power supply process and improving the reliability of power supply.
  • a theft threshold coefficient can be preset before the inaccurate metering analysis is performed. When the maximum value of the calculated abnormal coefficients is greater than the preset theft threshold coefficient, it is determined that the sub-meter corresponding to the maximum abnormal coefficient has committed electricity theft.
  • the preset theft threshold coefficient is greater than the preset abnormal threshold coefficient.
  • the electric energy meter is the main electrical equipment for measuring the user's electricity consumption. In actual use, it may be affected by various internal environments or external factors, resulting in errors in metering data, causing metering losses and bringing serious economic losses to the power system.
  • the metering inaccuracy of the electric energy meter is due to the natural aging of the electric energy meter during daily use on the one hand, and on the other hand, it may be due to deficiencies in the operation of the internal circuit of the electric energy meter, resulting in metering inaccuracy.
  • the complexity of the work of relevant personnel can be reduced to a certain extent, while ensuring the reliability of power supply.
  • the matrix equation is calculated under preset constraints to determine the abnormal coefficient of each sub-meter in the meter box, and whether the corresponding sub-meter is in a measurement inaccurate state is determined according to the abnormal coefficient.
  • the judgment logic is simple, the judgment efficiency is high, and the electric energy obtained is The results of meter misalignment analysis are highly accurate.
  • the embodiment of the present invention obtains the electricity data sequence and the total meter data sequence by setting a measuring switch at the incoming line of the meter box, which can achieve low cost.
  • the metering inaccuracy analysis work of the electric energy meter in the embodiment of the present invention can be judged from the meter box end, further improving the accuracy of the judgment result.
  • the power data of each sub-meter in the meter box and the total meter data of the meter box satisfy the following formula:
  • yt represents the total meter data of the meter box at time t
  • ⁇ t represents the fixed loss at time t
  • m represents the number of sub-meters in the meter box
  • ⁇ i represents the abnormal coefficient of the i-th sub-meter
  • xti represents the power data of the i-th sub-meter at time t, 1 ⁇ i ⁇ m.
  • the fixed losses at time t may include (1) iron losses of step-up transformers and step-down transformers and distribution transformers in power plants and substations, (2) dielectric losses of cables and capacitors, (3) iron losses of phase shifters, voltage regulators, reactors, mutual inductors, arc suppression coils and other equipment, and losses of insulators, (4) losses of voltage circuits or coils of protection devices and instruments (such as electric energy meters), and (5) corona losses.
  • the above different types of losses can all be obtained in advance.
  • the loss of the voltage loop or coil of the meter may include the sum of the fixed losses of the m sub-meters in the meter box. Different sub-meters in the meter box may have different fixed losses. The fixed losses of each sub-meter may be obtained in advance through experiments or through historical experience.
  • the fixed loss of the electric energy meter (each sub-meter in the meter box) mainly includes the loss of the voltage coil. Different types of electric energy meters have different fixed losses. The corresponding fixed losses are also different.
  • formula (1) after obtaining the total meter data of the meter box at time t and the electricity data of the i-th sub-meter at time t through the measuring switch, when the fixed loss and the number of sub-meters in the meter box are known, solving the abnormal coefficient of the i-th sub-meter in the meter box at time t is equivalent to solving formula (1).
  • the number of sub-meters is m, there are m unknowns in the calculation formula.
  • a multivariate equation group can be established under preset constraints, and the multivariate equation group can be solved to obtain the abnormal coefficient sequence of each sub-meter in the meter box.
  • the electric energy meter in the metering misalignment state is determined by analyzing the abnormal coefficient sequence.
  • the abnormal coefficient of each sub-meter in the meter box can be determined by the following formula:
  • [ ⁇ 1 , ⁇ 2 , ..., ⁇ t , ..., ⁇ m ], where
  • the meaning of the 2-norm in the matrix calculation process refers to the straight-line distance between two vector matrices in space. Therefore, when the 2-norm is applied to calculate the abnormal coefficients of each subtable in the present invention, it corresponds to the preset constraints, thereby obtaining the following multivariate equations:
  • n is the number of groups of total meter data collected and electricity data of each sub-meter in the meter box.
  • the multivariate equation group has m unknowns.
  • n ⁇ m that is, at least m groups (i.e. m moments) of total meter data and electricity data of each sub-meter need to be collected to obtain the abnormal coefficients of all sub-meters in the meter box.
  • m groups i.e. m moments
  • determining the abnormal coefficient of each sub-meter in the meter box according to the matrix equation and preset constraints is equivalent to solving the above-mentioned multivariate equation group. After obtaining the abnormal coefficients of the m sub-meters in the meter box, it can be confirmed whether each sub-meter in the meter box is in a state of metering inaccuracy.
  • judging whether the corresponding sub-meter is inaccurate according to the abnormal coefficient may include:
  • the abnormal coefficient of each sub-meter in the meter box is obtained according to the above calculation, the abnormal coefficient of each sub-meter is compared with the preset abnormal threshold coefficient. If the abnormal coefficient of any sub-meter is greater than the preset abnormal threshold coefficient, it is determined that the sub-meter corresponding to the abnormal coefficient is inaccurate.
  • any sub-meter has a metering mismatch
  • data information such as the meter address of the electric energy meter with abnormal power consumption, the number of electric energy meters with abnormal power consumption, the voltage, current, current direction and switch active power of the electric energy meter with abnormal power consumption
  • the judgment work of the inaccurate measurement analysis of electric energy meters is carried out from the meter box end, so that the judgment result has higher accuracy.
  • determining the abnormal coefficient of each sub-meter in the meter box is equivalent to performing matrix calculation and solving the matrix equation under the preset constraint conditions.
  • the abnormal coefficient corresponding to each sub-meter is compared with the preset abnormal threshold coefficient, so as to analyze the inaccurate measurement of each sub-meter in the meter box.
  • an embodiment of the present invention also provides an electric energy meter measurement misalignment analysis device.
  • the electric energy meter measurement misalignment analysis device 1 may include: an acquisition module 101 , an establishment module 102 and a determination module 103 .
  • the acquisition module 101 can be used to obtain the electricity data sequence of each sub-meter in the meter box and the total meter data sequence of the meter box; the establishment module 102 can be used to establish a matrix equation based on the electricity data sequence and the total meter data sequence; the determination module 103 can be used to determine the abnormal coefficient of each sub-meter in the meter box according to the matrix equation and preset constraints, and judge whether the corresponding sub-meter is inaccurate according to the abnormal coefficient.
  • the acquisition module 101 in the electric energy meter measurement inaccuracy analysis device 1 may also include a measurement switch 1011, which can be used to obtain an electric quantity data sequence and a total meter data sequence, wherein the measurement switch 1011 is arranged at the incoming line of the meter box and is communicatively connected with each sub-meter in the meter box.
  • the electricity data sequence is constructed according to the electricity data of the corresponding sub-meter within a preset time
  • the total meter data sequence is constructed according to the total meter data of the meter box within the preset time.
  • the power data of each sub-meter in the meter box and the total meter data of the meter box satisfy the following formula:
  • yt represents the total meter data of the meter box at time t
  • ⁇ t represents the fixed loss at time t
  • m represents the number of sub-meters in the meter box
  • ⁇ i represents the abnormal coefficient of the i-th sub-meter
  • xti represents the power data of the i-th sub-meter at time t, 1 ⁇ i ⁇ m.
  • the abnormal coefficient of each sub-meter in the meter box can be determined by the following formula:
  • [ ⁇ 1 , ⁇ 2 , ..., ⁇ t , ..., ⁇ m ], where
  • n is the number of groups of collected total meter data and electricity data of each sub-meter in the meter box.
  • the present invention also provides a computer-readable storage medium on which a computer program is stored. Specifically, when the computer program is executed by a processor, each step of the above-mentioned method for measuring inaccurate energy meter is implemented.
  • an embodiment of the present invention also proposes an electronic device, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor.
  • the processor executes the program, the method for analyzing the misalignment of an electric energy meter as described in the above embodiment of the present invention is implemented.

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Mathematical Physics (AREA)
  • Pure & Applied Mathematics (AREA)
  • Mathematical Analysis (AREA)
  • Mathematical Optimization (AREA)
  • Computational Mathematics (AREA)
  • Data Mining & Analysis (AREA)
  • Theoretical Computer Science (AREA)
  • Computing Systems (AREA)
  • Algebra (AREA)
  • Databases & Information Systems (AREA)
  • Software Systems (AREA)
  • General Engineering & Computer Science (AREA)
  • Remote Monitoring And Control Of Power-Distribution Networks (AREA)
  • Testing Electric Properties And Detecting Electric Faults (AREA)

Abstract

一种电能表计量失准分析方法、装置、存储介质及电子设备。其中,方法包括:获取表箱内各子表的电量数据序列和所述表箱的总表数据序列(S101);根据电量数据序列和总表数据序列建立矩阵方程(S102);根据矩阵方程和预设约束条件确定表箱内各子表的异常系数,并根据异常系数判断对应的子表是否计量失准(S103)。该分析方法从表箱端出发,得到的电能表计量失准分析结果准确度高,且分析方法逻辑简单,效率高。

Description

电能表计量失准分析方法、装置、存储介质及电子设备 技术领域
本发明涉及电力电子技术领域,尤其涉及一种电能表计量失准分析方法、装置、存储介质及电子设备。
背景技术
随着新型电力系统建设工作的逐步开展,对低压台区运行状态感知监测的需求大幅提高。传统的用电信息采集系统收集的智能电能表数据已不能满足,还需要对计量箱、分支箱等节点以及分支线路的电气状态和环境状态进行全面感知。智能量测开关应用于计量箱内部进线处,是支撑台区拓扑识别、线损分析、电能表失准更换的重要设备。
面对拓扑识别、线损分析、失准更换等需求深化应用需求,相关技术中提出采用特征电流方式实现电气线路拓扑识别,需要主站提前下发档案给终端,终端再通过预约方式下发全台区STA子节点定时发送特征电流,整个台区拓扑识别严重依赖于全台区时钟同步,识别时效及准确度受时钟同步、档案完整性及准确性影响。同时,针对表计失准分析、线损分析方面,从表箱端尚未有在线、实时分析的手段。
发明内容
本发明旨在至少在一定程度上解决相关技术中的技术问题之一。
为此,本发明的第一个目的在于提出一种电能表计量失准分析方法。该分析方法从表箱端出发,得到的电能表计量失准分析结果准确度高,且分析方法逻辑简单,效率高。
本发明的第二个目的在于提出一种电能表计量失准分析装置。
本发明的第三个目的在于提出一种计算机可读存储介质。
本发明的第四个目的在于提出一种电子设备。
为达上述目的,本发明第一方面实施例提出的电能表计量失准分析方法,包括:获取表箱内各子表的电量数据序列和所述表箱的总表数据序列;根据所述电量数据序列和所述总表数据序列建立矩阵方程;根据所述矩阵方程和预设约束条件确定所述表箱内各子表的异常系数,并根据所述异常系数判断对应的子表是否计量失准。
为达上述目的,本发明第二方面实施例提出的电能表计量失准分析装置,包括:获取模块,用于获取表箱内各子表的电量数据序列和所述表箱的总表数据序列;建立模块,用于根据所述电量数据序列和所述总表数据序列建立矩阵方程;确定模块,用于根据所述矩阵方程和预设约束条件确定所述表箱内各子表的异常系数,并根据所述异常系数判断对应的子表是否计量失准。
为达上述目的,本发明第三方面实施例提出的计算机可读存储介质,所述计算机程序被处理器执行时,实现如本发明第一方面实施例所述的电能表计量失准分析方法。
为达上述目的,本发明第四方面实施例提出的电子设备,包括存储器、处理器及存储在所述存储器上并可在所述处理器上运行的计算机程序,所述处理器执行所述程序时,实现如本发明第一方面实施例所述的电能表计量失准分析方法。
根据本发明实施例的电能表计量失准分析方法、装置、存储介质及电子设备,通过建立表箱内各子表的电量数据序列和表箱的总表数据序列的矩阵方程,在预设约束条件下对该矩阵方程进行矩阵计算,从而确定表箱内各子表的异常系数,根据异常系数判断对应的子表是否处于计量失准状态,分析过程逻辑简单,效率高,且该分析过程从表箱端出发,使得到的电能表计量失准分析结果准确度高。
本发明附加的方面和优点将在下面的描述中部分给出,部分将从下面的描述中变得明显,或通过本发明的实践了解到。
附图说明
本发明上述的和/或附加的方面和优点从下面结合附图对实施例的描述中将变得明显和容易理解,其中:
图1是根据本发明实施例的电能表计量失准分析方法的流程图;
图2是根据本发明实施例的电能表计量失准分析方法中根据异常系数判断对应的子表是否计量失准的流程图;
图3是根据本发明实施例的电能表计量失准分析装置的结构示意图;
图4是根据本发明一个示例的电能表计量失准分析装置的结构示意图。
具体实施方式
下面详细描述本发明的实施例,所述实施例的示例在附图中示出,其中自始至终相同或类似的标号表示相同或类似的元件或具有相同或类似功能的元件。下面通过参考附图描述的实施例是示例性的,旨在用于解释本发发明,而不能理解为对本发明的限制。
下面参考附图描述本发明实施例的电能表计量失准分析方法、装置、存储介质及电子设备。
图1是根据本发明实施例的电能表计量失准分析方法的流程图。如图1所示,在一些实施例中,该电能表计量失准分析方法可包括:
S101,获取表箱内各子表的电量数据序列和表箱的总表数据序列。
作为一种可行的实施方式,通过量测开关获取电量数据序列和总表数据序列,其中,量测开关设在表箱的进线处,并与表箱内的各子表通信连接。
可选地,量测开关与表箱内各子表之间通过RS485接口或载波接口通信连接。其中,在载波接口的通信连接方式中,通过在互联互通标准中加入抄控器,实现表箱的总表数据和表箱内各子表的电量数据的可抄读。
进一步地,上述电量数据序列可根据预设时间内对应子表的电量数据构建,总表数据序列可根据预设时间内表箱的总表数据构建,其中,预设时间可根据实际情况选择。
需要理解的是,量测开关在应用于电表中时,可具体包括测量功能,和/或,计时功能,和/或,时钟功能,和/或,电能冻结功能,和/或,事件记录功能,和/或,通信功能,和/或,拓扑功能等,因此在本实施方式中,通过设于表箱进线处的量测开关可以获取预设时间内表箱的总表数据,再构建总表数据序列,又通过该量测开关与表箱内各子表的通信连接,获取预设时间内各子表的电量数据,再构建电量数据序列,方便后续可以根据该总表数据序列和电量数据序列确定电能表的计量状态如何。
可选地,该量测开关还用于根据畸变电压和特征电流进行电气拓扑识别,以解决相关技术中仅利用特征电流方式进行拓扑识别效率低下的问题。具体而言,量测开关的载波模组接收台区终端以电压畸变信号方式发送的CCO主节点 地址,只有当前台区下的STA子节点能收到,台区下的STA就可以有目的的加入自己的CCO,从而实现STA和CCO的对应关系。当终端CCO收到当前台区下所有STA的入网信号后,采用点名方式让各STA发送特征电流,再读取各STA记录分析对比,从而实现台区供电关系识别。
详细来说,在公变台区的总表位置处,将CCO主节点地址调制成畸变信号,通过电力线将该畸变信号发射出去,同时由于该信号为电压信号,电压信号不跨台区或跨相,可确保台区下所有STA子节点直接接收到。量测开关的MCU(Microprocessor Controller Unit,微处理器控制单元)检测到过零点的畸变信号后启动定时器,捕获并提取过零点附近的电压畸变信号,处理解调出CCO主节点地址。STA收到CCO主节点地址并存储,每次入网时搜索网络中是否有存储的主节点地址CCO,若有则优先入网该CCO,从而快速实现CCO与STA的对应关系。明确终端CCO与量测开关STA从属关系后,CCO通过点名方式通知台区下属所有STA发送特征电流信号。量测开关侧以电阻投切方式在线路零火线之间产生满足一定频域规律的特征电流信号,同时所有STA都在有供电关系的线路的上级节点处进行电流通道采样分析后,可以识别下级节点产生的特征信号并记录识别到的特征信号的时间标签,待当前台区下所有归属节点都执行一次特征电流发射后,台区管理终端将所有节点保存的时间戳记录都读走,并对时间戳进行对比分析,从而实现供电关系上下级的识别。
S102,根据电量数据序列和总表数据序列建立矩阵方程。
S103,根据矩阵方程和预设约束条件确定表箱内各子表的异常系数,并根据异常系数判断对应的子表是否计量失准。
具体而言,在根据电量数据序列和总表数据序列建立了矩阵方程后,在预设约束条件下对该矩阵方程进行矩阵求解,得到该预设约束条件下表箱内各子 表的异常系数。在该实施方式中,通过预设异常阈值系数,将求解出的各子表的异常系数与该预设异常阈值系数进行比较,若任一子表的异常系数超过预设异常阈值系数,则确定该子表计量失准。需要说明的是,上述通过预设异常阈值系数的方法对电能表的计量失准情况进行判断的方法仅为示例性地,不作为对本发明实施例的限制。
在实际应用中,通过该电能表计量失准分析方法不仅可以对电箱内子表展开计量失准分析,还可通过对本发明实施例中各子表的异常系数进行分析确定计算出的各异常系数对应的子表是否出现窃电行为,从而保证供电过程中电力线路的安全性,提高供电可靠性。示例性地,在根据异常系数确定电能表是否出现窃电行为时,在进行计量失准分析之前可预设窃电阈值系数,在计算出的异常系数中的最大值大于该预设窃电阈值系数时,确定该最大异常系数对应的子表发生了窃电行为。可选地,预设窃电阈值系数大于预设异常阈值系数。
可理解的是,电能表是测量用户用电量的主要电器设备,在实际使用过程中可能会因为多种内部环境或外部因素的影响,致使其出现计量数据上的误差,引发计量损耗,给电力系统带来严重的经济损失。在一些实施例中,电能表的计量失准一方面是由于电能表在日常使用过程中伴随的自然老化,另一方面可能是因为电能表内部电路运作环节存在不足,从而导致计量失准,因此,通过本发明实施例的电能表计量失准分析方法对电能表的计量状态作出分析判断,可在一定程度上降低相关人员的工作繁复性,同时保证供电工作的可靠性。
根据本发明实施例的电能表计量失准分析方法,通过建立表箱内各子表的电量数据序列和表箱的总表数据序列的矩阵方程,在预设约束条件下对该矩阵方程进行矩阵计算,从而确定表箱内各子表的异常系数,根据异常系数判断对应的子表是否处于计量失准状态,判断逻辑简单,判断效率高,且得到的电能 表计量失准分析结果准确度高。
同时,区别于相关技术,本发明实施例中通过设置在表箱进线处的量测开关获取电量数据序列和总表数据序列,可实现成本低,同时使得本发明实施例的电能表计量失准分析工作可以从表箱端出发进行判断,进一步提高判断结果的准确度。
作为一种可行的实施方式,任意一时刻t,表箱内各子表的电量数据和表箱的总表数据满足下式:
其中,yt表示t时刻表箱的总表数据,δt表示t时刻的固定损耗,m表示表箱内子表的数量,βi表示第i个子表的异常系数,xti表示t时刻第i个子表的电量数据,1≤i≤m。
作为一种示例,t时刻的固定损耗可包括(1)发电厂、变电站的升压变压器和降压变压器以及配电变压器的铁损,(2)电缆和电容器的绝缘介质损耗,(3)调相机、调压器、电抗器、互感器、消弧线圈等设备的铁损及绝缘子的损耗,(4)保护装置和仪表(如电能表)电压回路或线圈的损耗,(5)电晕损耗。其中,上述不同类型的损耗均可预先获取。
在本实施例中,仪表(如电能表)电压回路或线圈的损耗可包括表箱内m个子表的固定损耗之和,对于表箱内不同的子表,其固定损耗可不同,各子表的固定损耗可通过实验预先获取或者通过历史经验进行获取。示例性地,电能表(表箱内各子表)的固定损耗主要包括电压线圈的损耗,不同类型的电能表 对应的固定损耗也不同,以220V的单相电能表电压线圈为例,它的固定损耗功率大约是1W左右,所以一般单相电能表每30天在电能表的读数上加一度电(1KWh)是正确的(1W*24h*30天=0.72KWh),如果是三相四线电能表,因为它有三个电压线圈,它的损耗大约为3W左右。
根据公式(1)可以看出,在通过量测开关获取了t时刻表箱的总表数据和t时刻第i个子表的电量数据之后,在固定损耗和表箱内子表的数量均已知的情况下,求解t时刻表箱内第i个子表的异常系数就相当于求解式(1),但由于子表的数量为m个,因此在该计算公式中具有m个未知数,在本发明实施例中可通过在预设约束条件下建立多元方程组,对该多元方程组进行求解,进而得到表箱内各子表的异常系数序列,通过对异常系数序列的分析确定处于计量失准状态的电能表。
进一步地,可通过下式确定表箱内各子表的异常系数:
其中,表示计算得到的各子表的异常系数序列,表示t时刻总表数据与各子表电量数据加和的差值, β=[β1,β2...,βt...,βm],||·||2表示2范数。
可理解的是,2范数在矩阵计算过程中的意义是指空间上两个向量矩阵的直线距离,因此,2范数应用于本发明中计算各子表的异常系数时,与预设约束条件对应,从而得到如下多元方程组:
其中,需要理解的是,n为采集的总表数据和表箱内各子表的电量数据的组数,该多元方程组具有m个未知数,为得到所有的计算结果,n≥m,即至少需要采集m组(即m个时刻)总表数据和各子表的电量数据,才可得出表箱内所有子表的异常系数,当然,在本发明实施例中,对于采集数据的组数不做出具体的上限规定,相关工作人员根据实际采集情况进行自由选择即可。
由此,在本实施例中,根据矩阵方程和预设约束条件确定表箱内各子表的异常系数就相当于对上述多元方程组进行求解,得到表箱内m个子表的异常系数后,便可确认表箱内各子表是否处于计量失准状态。
进一步地,在确定了表箱内m个子表的异常系数后,作为一种示例,在本发明实施例的电能表计量失准分析方法中,根据异常系数判断对应的子表是否计量失准,如图2所示,可包括:
S201,判断异常系数是否大于预设异常阈值系数;
S202,若是,则确定异常系数对应的子表计量失准。
具体而言,在根据上述计算得出表箱内各子表的异常系数后,将各子表的异常系数与预设异常阈值系数进行比较,若任一子表的异常系数大于预设异常阈值系数,则确定该异常系数对应的子表计量失准。
可选地,当确定到任一子表出现计量失准情况时,通过记录发生用电异常的电能表的表地址、出现用电异常的电能表的数量、用电异常电能表的电压、电流、电流方向以及开关有功功率等数据信息,方便在出现计量失准时对计量失准的电能表进行迅速定位,不影响计量失准分析工作的持续性,同时不影响其他计量准确的电能表的正常工作。
根据本发明实施例的电能表计量失准分析方法,从表箱端出发进行电能表计量失准分析的判断工作,使得判断结果准确度更高。在进行计量失准分析的工作过程中,通过建立表箱内各子表的电量数据序列和表箱的总表数据序列的矩阵方程,确定表箱内各子表的异常系数就相当于在预设约束条件下对该矩阵方程进行矩阵计算求解,在获取到各子表的异常系数后,将各子表对应的异常系数与预设异常阈值系数进行比较,以此分析表箱内各子表的计量失准情况。该分析过程逻辑简单,效率高,得到的电能表计量失准分析结果准确度高。
进一步地,本发明实施例还提出一种电能表计量失准分析装置,如图3所示,该电能表计量失准分析装置1可包括:获取模块101、建立模块102和确定模块103。
其中,获取模块101,可用于获取表箱内各子表的电量数据序列和表箱的总表数据序列;建立模块102,可用于根据电量数据序列和总表数据序列建立矩阵方程;确定模块103,可用于根据矩阵方程和预设约束条件确定表箱内各子表的异常系数,并根据异常系数判断对应的子表是否计量失准。
作为一种示例,如图4所示,电能表计量失准分析装置1中的获取模块101还可包括量测开关1011,量测开关1011可用于获取电量数据序列和总表数据序列,其中,量测开关1011设在表箱的进线处,并与表箱内的各子表通信连接。
作为一种可能的实现方式,电量数据序列根据预设时间内对应子表的电量数据构建,总表数据序列根据预设时间内表箱的总表数据构建。
作为一种示例,对于任意一时刻t,表箱内各子表的电量数据和表箱的总表数据满足下式:
其中,yt表示t时刻表箱的总表数据,δt表示t时刻的固定损耗,m表示表箱内子表的数量,βi表示第i个子表的异常系数,xti表示t时刻第i个子表的电量数据,1≤i≤m。
作为一种可能的实现方式,可通过下式确定表箱内各子表的异常系数:
其中,表示计算得到的各子表的异常系数序列,表示t时刻总表数据与各子表电量数据加和的差值,β=[β1,β2...,βt...,βm],||·||2表示2范数。
其中,n为采集的总表数据和表箱内各子表的电量数据的组数。
需要说明的是,本发明实施例的电能表计量失准分析装置的其他具体实施方式可参见本发明上述实施例的电能表计量失准分析方法的具体实施方式。
为了实现上述实施例的电能表计量失准方法,本发明实施例还提出一种计算机可读存储介质,其上存储有计算机程序。具体地,该计算机程序被处理器执行时,实现本发明上述实施例电能表计量失准方法的各个步骤。
进一步地,本发明实施例还提出一种电子设备,电子设备包括存储器、处理器及存储在存储器上并可在处理器上运行的计算机程序,处理器执行程序时,实现如本发明上述实施例的电能表计量失准分析方法。
尽管上面已经示出和描述了本发明的实施例,可以理解的是,上述实施例是示例性的,不能理解为对本发明的限制,本领域的普通技术人员在本发明的范围内可以对上述实施例进行变化、修改、替换和变型。

Claims (14)

  1. 一种电能表计量失准分析方法,其特征在于,所述方法包括:
    获取表箱内各子表的电量数据序列和所述表箱的总表数据序列;
    根据所述电量数据序列和所述总表数据序列建立矩阵方程;
    根据所述矩阵方程和预设约束条件确定所述表箱内各子表的异常系数,并根据所述异常系数判断对应的子表是否计量失准。
  2. 根据权利要求1所述的电能表计量失准分析方法,其特征在于,通过量测开关获取所述电量数据序列和所述总表数据序列,其中,所述量测开关设在所述表箱的进线处,并与所述表箱内的各子表通信连接。
  3. 根据权利要求1所述的电能表计量失准分析方法,其特征在于,所述电量数据序列根据预设时间内对应子表的电量数据构建,所述总表数据序列根据所述预设时间内所述表箱的总表数据构建。
  4. 根据权利要求3所述的电能表计量失准分析方法,其特征在于,任意一时刻t,所述表箱内各子表的电量数据和所述表箱的总表数据满足下式:
    其中,yt表示t时刻所述表箱的总表数据,δt表示t时刻的固定损耗,m表示所述表箱内子表的数量,βi表示第i个子表的异常系数,xti表示t时刻第i个子表的电量数据,1≤i≤m。
  5. 根据权利要求4所述的电能表计量失准分析方法,其特征在于,通过 下式计算所述表箱内各子表的异常系数:
    其中,表示计算得到的各子表的异常系数序列,表示t时刻总表数据与各子表电量数据加和的差值,β=[β1,β2...,βt...,βm],||·||2表示2范数。
  6. 根据权利要求5所述的电能表计量失准分析方法,其特征在于,所述根据所述异常系数判断对应的子表是否计量失准,包括:
    判断所述异常系数是否大于预设异常阈值系数;
    若是,则确定所述异常系数对应的子表计量失准。
  7. 根据权利要求2所述的电能表计量失准分析方法,其特征在于,所述量测开关与所述表箱内各子表之间通过RS485接口或载波接口通信连接。
  8. 一种电能表计量失准分析装置,其特征在于,所述装置包括:
    获取模块,用于获取表箱内各子表的电量数据序列和所述表箱的总表数据序列;
    建立模块,用于根据所述电量数据序列和所述总表数据序列建立矩阵方程;
    确定模块,用于根据所述矩阵方程和预设约束条件确定所述表箱内各子表的异常系数,并根据所述异常系数判断对应的子表是否计量失准。
  9. 根据权利要求8所述的电能表计量失准分析装置,其特征在于,所述获取模块包括量测开关,所述量测开关用于获取所述电量数据序列和所述总表数据序列,其中,所述量测开关设在所述表箱的进线处,并与所述表箱内的各子表通信连接。
  10. 根据权利要求8所述的电能表计量失准分析装置,其特征在于,所述电量数据序列根据预设时间内对应子表的电量数据构建,所述总表数据序列根据所述预设时间内所述表箱的总表数据构建。
  11. 根据权利要求10所述的电能表计量失准分析装置,其特征在于,任意一时刻t,所述表箱内各子表的电量数据和所述表箱的总表数据满足下式:
    其中,yt表示t时刻所述表箱的总表数据,δt表示t时刻的固定损耗,m表示所述表箱内子表的数量,βi表示第i个子表的异常系数,xti表示t时刻第i个子表的电量数据,1≤i≤m。
  12. 根据权利要求11所述的电能表计量失准分析装置,其特征在于,通过下式计算所述表箱内各子表的异常系数:
    其中,表示计算得到的各子表的异常系数序列,表示t时刻总表数据与各子表电量数据加和的差值,β=[β1,β2...,βt...,βm],||·||2表示2范数。
  13. 一种计算机可读存储介质,其上存储有计算机程序,其特征在于,所述计算机程序被处理器执行时,实现如权利要求1-7中任一项所述的电能表计量失准分析方法。
  14. 一种电子设备,其特征在于,包括:存储器、处理器及存储在所述存储器上并可在所述处理器上运行的计算机程序,所述处理器执行所述程序时,实现如权利要求1-7中任一项所述的电能表计量失准分析方法。
PCT/CN2023/102541 2022-10-11 2023-06-26 电能表计量失准分析方法、装置、存储介质及电子设备 WO2024078010A1 (zh)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
CN202211237763.9A CN115291159B (zh) 2022-10-11 2022-10-11 电能表计量失准分析方法、装置、存储介质及电子设备
CN202211237763.9 2022-10-11

Publications (1)

Publication Number Publication Date
WO2024078010A1 true WO2024078010A1 (zh) 2024-04-18

Family

ID=83819381

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/CN2023/102541 WO2024078010A1 (zh) 2022-10-11 2023-06-26 电能表计量失准分析方法、装置、存储介质及电子设备

Country Status (2)

Country Link
CN (1) CN115291159B (zh)
WO (1) WO2024078010A1 (zh)

Families Citing this family (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115291159B (zh) * 2022-10-11 2023-02-21 北京智芯微电子科技有限公司 电能表计量失准分析方法、装置、存储介质及电子设备
CN117110975B (zh) * 2023-10-23 2024-02-09 石家庄科林电力设计院有限公司 一种多路电能计量装置的失准检测方法及装置

Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR20040083626A (ko) * 2003-03-24 2004-10-06 한국남동발전 주식회사 전력 거래량 자동 검증 시스템 및 그 방법
US20120059609A1 (en) * 2010-09-03 2012-03-08 Lsis Co., Ltd. System for electric energy management
CN113376566A (zh) * 2021-06-16 2021-09-10 国网福建省电力有限公司营销服务中心 一种全网计量失准在线监测方法
CN114280527A (zh) * 2021-12-21 2022-04-05 青岛鼎信通讯股份有限公司 一种基于低压物联感知终端的电能表失准分析方法
WO2022110558A1 (zh) * 2020-11-25 2022-06-02 国网湖南省电力有限公司 一种智能电能表故障预警方法及装置
CN114814695A (zh) * 2022-04-19 2022-07-29 广东电网有限责任公司 数据处理方法、装置、电子设备及存储介质
CN115097244A (zh) * 2022-06-22 2022-09-23 江苏林洋能源股份有限公司 一种精准定位电力系统中用电异常或窃电用户的方法
CN115291159A (zh) * 2022-10-11 2022-11-04 北京智芯微电子科技有限公司 电能表计量失准分析方法、装置、存储介质及电子设备

Family Cites Families (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101477185B (zh) * 2009-02-13 2011-05-04 何世刚 一种电能表计量准确度的评估方法
CN112686493A (zh) * 2020-11-24 2021-04-20 国网新疆电力有限公司营销服务中心(资金集约中心、计量中心) 一种依托大数据实时评价智能电表运行状态与更换的方法
CN113162239B (zh) * 2021-05-11 2022-07-19 南方电网电力科技股份有限公司 一种低压配电网台区拓扑结构及部署方法
CN113945881B (zh) * 2021-07-27 2023-09-22 国网浙江省电力有限公司营销服务中心 计量表箱内电能表运行误差监测装置
CN113406558B (zh) * 2021-07-29 2024-04-09 天目数据(福建)科技有限公司 基于线性回归的电表失准检测方法、装置及电子设备
CN114184996B (zh) * 2021-12-10 2023-09-29 广东电网有限责任公司 低压台区智能电表的计量异常行为辨识方法及装置
CN115079082A (zh) * 2022-07-27 2022-09-20 云南电网有限责任公司 一种台区电表监测方法、系统及终端

Patent Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR20040083626A (ko) * 2003-03-24 2004-10-06 한국남동발전 주식회사 전력 거래량 자동 검증 시스템 및 그 방법
US20120059609A1 (en) * 2010-09-03 2012-03-08 Lsis Co., Ltd. System for electric energy management
WO2022110558A1 (zh) * 2020-11-25 2022-06-02 国网湖南省电力有限公司 一种智能电能表故障预警方法及装置
CN113376566A (zh) * 2021-06-16 2021-09-10 国网福建省电力有限公司营销服务中心 一种全网计量失准在线监测方法
CN114280527A (zh) * 2021-12-21 2022-04-05 青岛鼎信通讯股份有限公司 一种基于低压物联感知终端的电能表失准分析方法
CN114814695A (zh) * 2022-04-19 2022-07-29 广东电网有限责任公司 数据处理方法、装置、电子设备及存储介质
CN115097244A (zh) * 2022-06-22 2022-09-23 江苏林洋能源股份有限公司 一种精准定位电力系统中用电异常或窃电用户的方法
CN115291159A (zh) * 2022-10-11 2022-11-04 北京智芯微电子科技有限公司 电能表计量失准分析方法、装置、存储介质及电子设备

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
JIANG CUIXIA; XU QIFA: "Further Discussion on the Least Squares Estimation of Linear Regression Models and Solutions to Linear Equations", STATISTICS AND DECISION, HU BEI SHENG TONG JI JU TONG JI KE XUE YAN JIU SUO ZHU BAN, CN, vol. 2014, no. 6, 1 April 2014 (2014-04-01), CN , pages 8 - 11, XP009553875, ISSN: 1002-6487 *

Also Published As

Publication number Publication date
CN115291159A (zh) 2022-11-04
CN115291159B (zh) 2023-02-21

Similar Documents

Publication Publication Date Title
WO2024078010A1 (zh) 电能表计量失准分析方法、装置、存储介质及电子设备
CN111026927B (zh) 一种低压台区运行状态智能监测系统
CN102509159B (zh) 基于用电信息采集系统的配电网理论线损评估方法
CN102497021B (zh) 配电线路实时监控分析系统
EP0829125B1 (en) Revenue accuracy meter having power quality measurement and method of measuring power quality
CN111917188A (zh) 配电台区监测装置、配电台区拓扑识别系统和方法
CN102567603B (zh) 基于实测拓扑和量测数据自动生成bpa计算文件的方法
CN109031000A (zh) 一种基于非故障扰动就地测量电网短路容量的方法及系统
CN103499731A (zh) 一种供电电压合格率的综合分析方法
CN207557396U (zh) 一种适用于变频系统的小电流单相接地故障选线装置
CN207518272U (zh) 一种低压智能无功补偿控制器
Mak et al. Integration of PMU, SCADA, AMI to accomplish expanded functional capabilities of Smart Grid
CN104155627A (zh) 一种特高压电容式电压互感器的误差特性检测方法
CN106786498B (zh) 一种主站-变电站数据协同辨识方法及其装置
CN113009235B (zh) 计算台区线路阻抗实时精准值的方法及系统、设备、介质
CN110146780A (zh) 中性点不接地柔性配电网系统铁磁谐振判别方法
Meliopoulos et al. Smart grid infrastructure for distribution systems and applications
CN201570857U (zh) 基于分布式测量技术的小电流接地选线装置
CN205176158U (zh) 一种电容型电流互感器在线检测装置
CN207882332U (zh) 用于检测变压器铁芯接地电流的系统
CN112379176A (zh) 一种变压器损耗获取系统及方法
CN207010245U (zh) 一种无功补偿自动跟踪控制装置
CN220105268U (zh) 一种支持远程校验的物联网三相电能监测终端
CN204129557U (zh) 一种消除pt二次回路压降的电路
CN113093085B (zh) 站域电流互感器二次回路故障检测方法及装置

Legal Events

Date Code Title Description
121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 23876220

Country of ref document: EP

Kind code of ref document: A1