A smart grid monitoring system

Abstract

The present invention relates to a smart grid monitoring system, which includes monitored power equipment, monitoring equipment and storage and processing equipment; the monitoring equipment monitors a first current and a first voltage of the power equipment and processes them into a second current and a second voltage; the storage and processing equipment includes a CPU processing module, and the CPU processing module determines whether the power equipment is faulty based on the second current and the second voltage. When it is determined that the power equipment has a fault, the CPU processing module communicates the fault information to a user; the present invention obtains data as a judgment basis during the acquisition phase of power grid operation, obtains data during the detection phase and analyzes and determines whether it meets preset conditions to accurately diagnose power faults, obtains monitoring results in a timely manner and transmits information to the user, so that the user can quickly perform equipment maintenance and fault processing based on the information.

Description

Technical Field

[0001] The present invention relates to the field of electric power technology, and in particular to a smart grid monitoring system. Background Art

[0002] With the continuous advancement of my country's industrialization process and the rapid development of high-tech industries, as well as the emergence of new things such as new energy vehicles, the demand for electricity has continued to increase, and the scale of power system construction has also been expanding. While the power grid is being built on a large scale, the complexity of the system is increasing, and the probability of failure of the transmission and distribution line system is also increasing. There are many factors that lead to power line failures. Therefore, the operation detection and management of power lines has become an important part of ensuring power supply safety.

[0003] After extensive searches by the applicant team, it was discovered that there are typical domestic and foreign patents CN104316844B and CN110726898B. These patents generally use fault recording for fault detection. By automatically recording the effective value of the power before and after the fault, the operating personnel can call up the power information of the fault period at any time, and then determine the fault area and the severity of the fault through comparison and analysis by the expert system.

[0004] The existing technology in this field has the following problems: Fault recording detection uses a preset constant threshold to judge power system faults and transmit information, which sometimes leads to misjudgment and affects the work efficiency of maintenance personnel. How to improve the accuracy of power fault judgment so that maintenance personnel can quickly judge the fault situation and solve it based on the information is a technical problem that needs to be solved in the existing technology. Summary of the Invention

[0005] In order to solve the above technical problems, the present invention provides a smart grid monitoring system for quickly and accurately reflecting fault information to users when a fault occurs in power equipment.

[0006] The technical solution to achieve the above purpose is:

[0007] A smart grid monitoring system, characterized in that the system includes a monitored power device, a monitoring device connected to the power device, and a storage and processing device connected to the monitoring device; wherein the monitoring device is configured to obtain a first current and a first voltage of the power device and process them into a second current and a second voltage; the storage and processing device includes a CPU processing module, which determines whether a fault has occurred in the power device based on the second current and the second voltage, and communicates fault information to a user when a fault is determined to have occurred;

[0008] a current transformer, used for collecting a first current of the power equipment;

[0009] A voltage transformer, used for collecting a first voltage of the power equipment;

[0010] The filter and rectifier circuits are connected to the current transformer and the voltage transformer respectively to stabilize the current waveform;

[0011] A zero-crossing detection circuit is connected to the filter and rectifier circuit and is used to detect a current cycle;

[0012] The monitoring device obtains a first current and a first voltage of the power device through a current transformer and a voltage transformer, respectively. The first current and the first voltage are converted into a second current and a second voltage after being processed by a filtering and rectifying circuit and a zero-crossing detection circuit, respectively. The second current and the second voltage are transmitted to the storage and processing device.

[0013] The system further includes a storage module connected to the zero-crossing detection circuit, configured to store the second current and the second voltage;

[0014] The CPU processing module is connected to the storage module and is used to record and detect the waveforms of the second current and the second voltage; when a fault signal is detected, the fault information is transmitted to the communication module;

[0015] The communication module connected to the CPU processing module is used to transmit the fault information to the user when the fault information is received.

[0016] Furthermore, it also includes a power supply module for supplying power to the monitoring equipment and the CPU processing module.

[0017] Furthermore, the second current and the second voltage are stored in the storage module in a time series, and the CPU processing module detects whether the second current and the second voltage in the storage module are abnormal at a preset time interval. If so, it determines that the power equipment has failed and sends the fault information to the user through the communication module.

[0018] Furthermore, the second current includes three-phase current and zero-sequence current, and the second voltage includes three-phase voltage and zero-sequence voltage.

[0019] Furthermore, the preset time interval is divided into an acquisition phase T and a detection phase R, and the CPU processing module determines an abnormality in the following manner:

[0020] In the acquisition phase T, the second current and the second voltage in each AC cycle in the storage module are collected, and the data obtained in the acquisition phase T is used as a judgment basis. In the detection phase R, the second current and the second voltage are analyzed to determine whether they meet the preset conditions. If so, a fault signal is present. The specific judgment method is as follows:

[0021] Three-phase current detection:

[0022] In normal operation, let the acquisition phase be T, and collect three-phase current x n times in the acquisition phase T.i , where 1≤i≤n;

[0023] Calculate the mean of three-phase current samples

[0024]

[0025] Calculate the three-phase current sample standard deviation s1:

[0026]

[0027] Assume that after the acquisition phase T ends, the detection phase begins. Let the detection phase be R, where R>>T. Calculate:

[0028]

[0029] Among them, G1 is the three-phase current evaluation parameter, x max is the maximum three-phase current value during the detection phase, The standard deviation of the three-phase current is collected during the detection phase. The mean value of the three-phase current is collected during the detection phase. α1 and β1 are weight coefficients, satisfying α1+β1=1.

[0030] After the three-phase current evaluation parameter G1 is calculated, G1 is compared with the set detection threshold. When G1 is greater than the detection threshold, it is determined that there is an abnormal signal in the three-phase current and the fault information is sent to the user;

[0031] After the acquisition phase T and the detection phase R, the next acquisition phase T and detection phase R are entered, and a cyclic detection is performed with T+R as an acquisition and detection cycle;

[0032] Three-phase voltage detection:

[0033] During normal operation, the three-phase voltage y is collected n times in the acquisition phase T. i , where 1≤i≤n;

[0034] Calculate the mean of three-phase voltage samples

[0035]

[0036] Calculate the three-phase voltage sample standard deviation s2:

[0037]

[0038] Assume that after the acquisition phase T ends, the detection phase begins. Let the detection phase be R, where R>>T. Calculate:

[0039]

[0040] Among them, G2 is the three-phase voltage evaluation parameter, y max is the maximum three-phase voltage value during the detection phase, The standard deviation of the three-phase voltage is collected during the detection phase. The mean value of the three-phase voltage is collected during the detection phase; α2 and β2 are weight coefficients, satisfying α2+β2=1,

[0041] After the three-phase voltage evaluation parameter G2 is calculated, G2 is compared with the set detection threshold. When G2 is greater than the detection threshold, it is determined that there is an abnormal signal in the three-phase voltage and the fault information is sent to the user.

[0042] After the acquisition phase T and the detection phase R, the next acquisition phase T and detection phase R are entered, and a cyclic detection is performed with T+R as an acquisition and detection cycle;

[0043] The three-phase current detection and the three-phase voltage detection are performed simultaneously. If an abnormal signal is determined in any of the detections, fault information will be sent to the user.

[0044] Furthermore, the sampling rate of the recorded waveform is 8 kHz.

[0045] Furthermore, the fault information transmitted to the user includes the time of fault occurrence, the location of the power equipment, the information on the change in power before and after the fault occurs, and the fault waveform.

[0046] The beneficial effects of the present invention are:

[0047] The present invention divides the operation of the power grid into an acquisition phase and a detection phase, and collects the actual normal power information of the on-site power equipment during normal operation in the acquisition phase as a judgment basis. In the detection phase, the power information is acquired and analyzed to determine whether it meets the preset conditions, thereby accurately diagnosing power faults, timely obtaining monitoring results and transmitting information to users, solving the problem that previous fault detection recordings all judged faults according to a pre-specified threshold range and could not make parameter judgments based on the actual site; the present invention reduces the occurrence of circuit fault misjudgment and makes the detection results more accurate. The present invention automatically records the power information before and after the fault, and the user can quickly judge the fault situation and solve it based on the information. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] The present invention may be further understood from the following description taken in conjunction with the accompanying drawings; the components in the drawings are not necessarily drawn to scale, with emphasis placed on illustrating the principles of the embodiments; like reference numerals designate corresponding parts in different views.

[0049] Figure 1This is a structural diagram of an embodiment of the system of the present invention.

[0050] Figure 2 This is a structural diagram of a storage processing module according to an embodiment of the present invention.

[0051] Figure 3 The figure is a flowchart of an abnormality determination according to an embodiment of the present invention. DETAILED DESCRIPTION

[0052] In order to make the objectives, technical solutions and advantages of the present invention more clear, the present invention is further described in detail below in conjunction with its embodiments; it should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention; for those skilled in the art, after reviewing the following detailed description, other systems, methods and / or features of the present embodiment will become apparent; it is intended that all such additional systems, methods, features and advantages are included in this specification; included within the scope of the present invention and protected by the appended claims; additional features of the disclosed embodiments are described in the following detailed description, and these features will be apparent from the following detailed description.

[0053] The same or similar numbers in the drawings of the embodiments of the present invention correspond to the same or similar parts; in the description of the present invention, it should be understood that if there are terms such as "upper", "lower", "left", "right", etc. indicating directions or positional relationships, they are based on the directions or positional relationships shown in the drawings. This is only for the convenience of describing the present invention and simplifying the description, and does not indicate or imply that the device or component referred to must have a specific direction, be constructed and operate in a specific direction. Therefore, the terms describing the positional relationship in the drawings are only used for illustrative purposes and cannot be understood as limiting this patent. For ordinary technicians in this field, the specific meanings of the above terms can be understood according to specific circumstances.

[0054] Example 1.

[0055] like Figure 1 As shown, a smart grid monitoring system includes: a monitored power device, a monitoring device connected to the power device, and a storage and processing device connected to the monitoring device; wherein the monitoring device is used to obtain a first current and a first voltage of the power device, and process them into a second current and a second voltage; the storage and processing device includes a CPU processing module, and the CPU processing module determines whether a fault occurs in the power device based on the second current and the second voltage, and transmits the fault information to the user when a fault is determined to occur.

[0056] The monitoring equipment includes: current transformer, voltage transformer, zero-crossing detection circuit and filter rectification circuit;

[0057] The storage and processing equipment includes: a storage module, a CPU processing module and a communication module;

[0058] Specifically, the output ends of the current transformer and the voltage transformer are both connected to the filter and rectifier circuit, the output end of the filter and rectifier circuit is connected to the zero-crossing detection circuit, and the output end of the zero-crossing detection circuit is connected to the storage module;

[0059] The current transformer is used to collect the first current of the power equipment, and after being filtered by the filter and rectifier circuit, it enters the zero-crossing detection circuit;

[0060] The voltage transformer is used to collect the first voltage of the power equipment, which enters the zero-crossing detection circuit after being filtered by the filtering and rectifying circuit;

[0061] The filtering and rectifying circuit is used to stabilize the waveform of the electric quantity transmitted by the mutual inductor;

[0062] The zero-crossing detection circuit obtains the frequency of the power equipment according to the waveform processed by the filtering and rectifying circuit, and converts the waveform processed by the filtering and rectifying circuit into a second current and a second voltage, which are transmitted to the storage module for storage;

[0063] The CPU processing module is used to obtain the second current and the second voltage in the storage module, and record and detect their waveforms; when a fault signal is detected, the fault information is transmitted to the communication module, and the communication module then transmits the fault information to the user.

[0064] The fault information includes the time of fault occurrence, location of the power equipment, information on power changes before and after the fault occurs, or fault waveform;

[0065] The storage processing device also includes a display screen, a relay output circuit, a keyboard, three GPIO interfaces and an SCI interface. For a specific structural diagram, see the attached figure. Figure 2 .

[0066] The communication module includes a wireless network communication module and a wired network communication module.

[0067] In this embodiment, the display screen is an LED display screen or an LCD display screen.

[0068] In this embodiment, the display screen displays the second current and second voltage waveforms in real time.

[0069] In this embodiment, a power supply module for supplying power to the device is also included; specifically, a power supply module for supplying power to the monitoring equipment and the CPU processing module.

[0070] Each module in this example is implemented by using commonly used products on the market or circuits made by ourselves using existing technology.

[0071] The system converts the first current and second voltage of the power equipment into the second current and second voltage respectively through the monitoring equipment. The CPU processing module is used to detect the second current and second voltage. When a fault is detected, the CPU processing module sends the fault information to the user. This embodiment can automatically record and display the fault power information and fault waveform, so that the user can accurately and quickly judge the fault type based on this.

[0072] Example 2.

[0073] This embodiment is a further description of the above embodiment. It should be understood that this embodiment includes all the above technical features and is further described in detail:

[0074] The CPU processing module of the present invention specifically detects and determines whether the signal is abnormal. Figure 3 As shown, the power information of the power equipment in the acquisition stage T is first collected, and then the sample mean of the power information is calculated, and then the sample standard deviation of the power information is calculated. Based on the sample mean and sample standard deviation in the acquisition stage T, the power information in the detection stage R is analyzed to obtain evaluation parameters, and it is determined whether the evaluation parameters at this time are greater than the set detection threshold. If so, the power information is determined to be an abnormal signal, and a fault message is sent to the user.

[0075] Specifically, the electrical quantity information is a second current and a second voltage; the second current includes a three-phase current and a zero-sequence current, and the second voltage includes a three-phase voltage and a zero-sequence voltage.

[0076] Specifically, the CPU processing module determines the abnormality in the following manner:

[0077] The CPU processing module performs the judgment work within a preset time interval, and the preset time interval is divided into an acquisition phase T and a detection phase R; the CPU processing module can perform the judgment work cyclically with the preset time interval as a period;

[0078] In the acquisition phase T, the second current and the second voltage in each AC cycle in the storage module are collected. According to the Gerbrass criterion, in the detection phase R, it is determined that the second current and the second voltage meet a preset condition, which is a fault signal. The specific determination method is as follows:

[0079] Three-phase current detection:

[0080] In normal operation, let the acquisition phase be T, and collect three-phase current x n times in the acquisition phase T. i , where 1≤i≤n; according to the error theory, n≥10;

[0081] Calculate the mean of three-phase current samples

[0082]

[0083] Calculate the three-phase current sample standard deviation s1:

[0084]

[0085] Assume that after the acquisition phase T ends, the detection phase begins. Let the detection phase be R, where R>>T. Calculate:

[0086]

[0087] Among them, G1 is the three-phase current evaluation parameter, x max is the maximum three-phase current value during the detection phase, The standard deviation of the three-phase current is collected during the detection phase. The mean value of the three-phase current is collected in the detection phase. α1 and β1 are weight coefficients, satisfying α1+β1=1.

[0088] After the three-phase current evaluation parameter G1 is calculated, G1 is compared with the set detection threshold. When G1 is greater than the detection threshold, it is determined that there is an abnormal signal in the three-phase current and the fault information is sent to the user;

[0089] After the acquisition phase T and the detection phase R, the next acquisition phase T and detection phase R are entered, and a cyclic detection is performed with T+R as an acquisition and detection cycle;

[0090] Three-phase voltage detection:

[0091] During normal operation, the three-phase voltage y is collected n times in the acquisition phase T. i , where 1≤i≤n;

[0092] Calculate the three-phase voltage sample mean

[0093]

[0094] Calculate the three-phase voltage sample standard deviation s2:

[0095]

[0096] Assume that after the acquisition phase T ends, the detection phase begins. Let the detection phase be R, where R>>T. Calculate:

[0097]

[0098] Among them, G2 is the three-phase voltage evaluation parameter, y max is the maximum three-phase voltage value during the detection phase, The standard deviation of the three-phase voltage is collected during the detection phase. The mean value of the three-phase voltage is collected during the detection phase; α2 and β2 are weight coefficients, satisfying α2+β2=1,

[0099] After the three-phase voltage evaluation parameter G2 is calculated, G2 is compared with the set detection threshold. When G2 is greater than the detection threshold, it is determined that there is an abnormal signal in the three-phase voltage and the fault information is sent to the user.

[0100] After the acquisition phase T and the detection phase R, the next acquisition phase T and detection phase R are entered, and a cyclic detection is performed with T+R as an acquisition and detection cycle;

[0101] The three-phase current detection and the three-phase voltage detection are performed simultaneously. If a fault is determined in any of the detections, the fault information will be sent to the user.

[0102] Traditional methods use preset fixed thresholds to judge faults without considering the actual circuit conditions, and often result in misjudgment of faults. This embodiment analyzes the real-time power information of the power equipment and sets judgment criteria based on the real-time power information to judge faults. This method has strong real-time performance, so this embodiment can avoid the occurrence of misjudgment of faults and enable users to discover and solve faults more efficiently.

[0103] Example 3.

[0104] This embodiment is a further description of the above embodiment. It should be understood that this embodiment includes all the above technical features and is further described in detail:

[0105] Zero-sequence current detection:

[0106] During normal operation, zero-sequence current z is collected n times in the acquisition phase T. i , where 1≤i≤n;

[0107] Calculate the zero-sequence current sample mean

[0108]

[0109] Calculate the zero-sequence current sample standard deviation s3:

[0110]

[0111] Assume that after the acquisition phase T ends, the detection phase begins. Let the detection phase be R, where R>>T. Calculate:

[0112]

[0113] Among them, G3 is the zero-sequence current evaluation parameter, z max is the maximum zero-sequence current value during the detection phase, The standard deviation of the zero-sequence current is collected during the detection phase. The mean value of zero-sequence current is collected in the detection phase. α3 and β3 are weight coefficients, satisfying α3+β3=1.

[0114] After the zero-sequence current evaluation parameter G3 is calculated, G3 is compared with the set detection threshold. When G3 is greater than the detection threshold, it is determined that there is an abnormal signal in the zero-sequence current and the fault information is sent to the user.

[0115] After the acquisition phase T and the detection phase R, the next acquisition phase T and detection phase R are entered, and a cyclic detection is performed with T+R as an acquisition and detection cycle;

[0116] Zero-sequence voltage detection:

[0117] During normal operation, the zero-sequence voltage q is collected n times in the acquisition phase T. i , where 1≤i≤n

[0118] Calculate the zero-sequence voltage sample mean

[0119]

[0120] Calculate the zero-sequence voltage sample standard deviation s4:

[0121]

[0122] Assume that after the acquisition phase T ends, the detection phase begins. Let the detection phase be R, where R>>T. Calculate:

[0123]

[0124] Among them, G4 is the zero-sequence voltage evaluation parameter, q max is the maximum zero-sequence voltage value during the detection phase, The standard deviation of the zero-sequence voltage is collected during the detection phase. The mean value of the zero-sequence voltage is collected in the detection phase, α4 and β4 are weight coefficients, satisfying α4+β4=1,

[0125] After the zero-sequence voltage evaluation parameter G4 is calculated, G4 is compared with the set detection threshold. When G4 is greater than the detection threshold, it is determined that there is an abnormal signal in the zero-sequence voltage and the fault information is sent to the user.

[0126] After the acquisition phase T and the detection phase R, the next acquisition phase T and detection phase R are entered, and cyclic detection is performed with T+R as a residual error acquisition and detection cycle.

[0127] The three-phase current detection, three-phase voltage detection, zero-sequence current detection, and zero-sequence voltage detection are performed simultaneously. If a fault is determined in any of the detections, the fault information will be sent to the user.

[0128] The waveform recording sampling rate of the CPU processing module in this embodiment is preferably 8 kHz.

[0129] This embodiment analyzes the real-time three-phase current, three-phase voltage, zero-sequence current, and zero-sequence voltage of the power equipment, and sets judgment criteria based on this electrical information to perform fault judgment. It has strong real-time performance, so this embodiment can avoid the occurrence of misjudgment of faults, allowing users to discover and solve faults more efficiently.

[0130] The present invention is installed at locations where faults may occur in the distribution network, such as transformer outlets, branch boxes, cables and other fault-prone areas, to facilitate monitoring of real-time power information of faults. After a fault occurs, the fault information is sent to users to ensure that technicians can quickly troubleshoot the fault, repair equipment, and restore power supply in time to avoid further escalation of the situation and ensure the safety of the power grid.

[0131] The above embodiments are only used to illustrate the present invention, rather than to limit the present invention. Those skilled in the art may make various changes or modifications without departing from the spirit and scope of the present invention. Therefore, all equivalent technical solutions should also fall within the scope of the present invention and should be defined by the claims.

Claims

1. A smart grid monitoring system, characterized in that: The system includes a monitored power device, a monitoring device connected to the power device, and a storage and processing device connected to the monitoring device; the monitoring device is configured to obtain a first current and a first voltage of the power device and process them into a second current and a second voltage; the storage and processing device includes a CPU processing module, which determines whether a fault has occurred in the power device based on the second current and the second voltage, and communicates fault information to a user if a fault has occurred. a current transformer, used for collecting a first current of the power equipment; A voltage transformer, used for collecting a first voltage of the power equipment; The filter and rectifier circuits are connected to the current transformer and the voltage transformer respectively to stabilize the current waveform; A zero-crossing detection circuit is connected to the filter and rectifier circuit and is used to detect a current cycle; The monitoring device obtains a first current and a first voltage of the power device through a current transformer and a voltage transformer, respectively. The first current and the first voltage are converted into a second current and a second voltage after being processed by a filtering and rectifying circuit and a zero-crossing detection circuit, respectively. The second current and the second voltage are transmitted to the storage and processing device. The system further includes a storage module connected to the zero-crossing detection circuit, configured to store the second current and the second voltage; The CPU processing module is connected to the storage module and is used to record and detect the waveforms of the second current and the second voltage; when a fault signal is detected, the fault information is transmitted to the communication module; A communication module connected to the CPU processing module is used to transmit the fault information to the user when the fault information is received; The system also includes a power supply module for supplying power to the monitoring device and the CPU processing module; The second current and the second voltage are stored in the storage module in a time series. The CPU processing module detects whether the second current and the second voltage in the storage module are abnormal at a preset time interval. If so, it is determined that a fault has occurred in the power equipment, and the fault information is sent to the user through the communication module. The second current includes three-phase current and zero-sequence current, and the second voltage includes three-phase voltage and zero-sequence voltage; The preset time interval is divided into an acquisition phase T and a detection phase R. The CPU processing module determines an abnormality in the following manner: In the acquisition phase T, the second current and the second voltage in each AC cycle in the storage module are collected, and the data obtained in the acquisition phase T is used as a judgment basis. In the detection phase R, the second current and the second voltage are analyzed to determine whether they meet the preset conditions. If so, a fault signal is present. The specific judgment method is as follows: Three-phase current detection: In normal operation, let the acquisition phase be T, and collect three-phase current x n times in the acquisition phase T. i , where 1≤i≤n; Calculate the mean of three-phase current samples Calculate the three-phase current sample standard deviation s1: Assume that after the acquisition phase T is completed, the detection phase begins, and the detection phase is set to R, where R>>T; calculate: Among them, G1 is the three-phase current evaluation parameter, x max is the maximum three-phase current value during the detection phase, The standard deviation of the three-phase current is collected during the detection phase. The mean value of the three-phase current is collected in the detection phase. α1 and β1 are weight coefficients, satisfying α1+β1=1. After the three-phase current evaluation parameter G1 is calculated, G1 is compared with the set detection threshold. When G1 is greater than the detection threshold, it is determined that there is an abnormal signal in the three-phase current and the fault information is sent to the user; After the acquisition phase T and the detection phase R, the next acquisition phase T and detection phase R are entered, and a cyclic detection is performed with T+R as an acquisition and detection cycle; Three-phase voltage detection: During normal operation, the three-phase voltage y is collected n times in the acquisition phase T. i , where 1≤i≤n; Calculate the mean of three-phase voltage samples Calculate the three-phase voltage sample standard deviation s2: Assume that after the acquisition phase T ends, the detection phase begins. Let the detection phase be R, where R>>T. Calculate: Among them, G2 is the three-phase voltage evaluation parameter, y max is the maximum three-phase voltage value during the detection phase, The standard deviation of the three-phase voltage is collected during the detection phase. The mean value of the three-phase voltage is collected during the detection phase; α2 and β2 are weight coefficients, satisfying α2+β2=1, After the three-phase voltage evaluation parameter G2 is calculated, G2 is compared with the set detection threshold. When G2 is greater than the detection threshold, it is determined that there is an abnormal signal in the three-phase voltage and the fault information is sent to the user. After the acquisition phase T and the detection phase R, the next acquisition phase T and detection phase R are entered, and a cyclic detection is performed with T+R as an acquisition and detection cycle; The three-phase current detection and the three-phase voltage detection are performed simultaneously. If an abnormal signal is determined in any of the detections, fault information will be sent to the user.

2. A smart grid monitoring system according to claim 1, characterized in that: The sampling rate of the recording is 8kHz.

3. A smart grid monitoring system according to claim 2, characterized in that: The fault information transmitted to the user includes the time of fault occurrence, the location of the power equipment, the information on the change in power before and after the fault occurrence, and the fault waveform.

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