Dynamic electric energy quality monitoring and early warning system and monitoring and early warning method

Abstract

The invention discloses a dynamic electric energy quality monitoring and early warning system and monitoring and early warning method, and relates to the technical field of electric energy quality monitoring, and the system comprises a multi-point data monitoring module which is used for obtaining electric energy parameter data detected by electric energy sensors installed at different positions in a power grid; the signal relay processing module is used for receiving the electric energy parameter data transmitted by the multi-point data monitoring module and carrying out preprocessing and transmission processing on the electric energy parameter data; the data analysis module is used for receiving the electric energy parameter data preprocessed and transmitted by the signal relay processing module, and analyzing the received electric energy parameter data to obtain a corresponding comprehensive electric energy quality index; the early warning module is used for obtaining a judgment result of whether the electric energy quality is qualified or not based on a preset judgment condition, and triggering an early warning mechanism if the judgment result is that the quality is unqualified; comprehensive monitoring and timely early warning of electric energy quality are realized, and a powerful guarantee is provided for stable operation and sustainable development of an electric power system.

Description

Technical Field

[0001] The present invention relates to the technical field of power quality monitoring, and more specifically, to a dynamic power quality monitoring and early warning system and a monitoring and early warning method. Background Art

[0002] In the power system, power quality is an important indicator to measure the stability and reliability of power supply. It covers voltage, current, frequency, waveform and other aspects, which are directly related to the stable operation of the power grid, the normal operation of equipment and the user's power experience. With the rapid development of power electronics technology and the large-scale access of new energy, the power grid structure is becoming increasingly complex, and the power quality problem is becoming increasingly prominent.

[0003] Most existing power quality monitoring systems use a single monitoring device or a simple data acquisition device, which has insufficient data processing capabilities and is difficult to analyze and process the collected data efficiently and accurately. This results in monitoring results that are often not comprehensive and accurate, and cannot provide strong data support for the operation, maintenance and management of the power grid.

[0004] At the same time, with the development of smart grids, the requirements for power quality monitoring are getting higher and higher. Smart grids need to achieve real-time monitoring, early warning and decision support of the grid status, which requires the power quality monitoring system to have a higher level of intelligence, automation and integration. In recent years, researchers have proposed a variety of power quality monitoring methods, such as wavelet transform-based methods, fuzzy logic-based methods, neural network-based methods, etc. However, these methods still face some challenges in practical applications, such as sensitivity to parameter selection, high computational complexity, limited generalization ability, etc., which make it difficult to meet the development needs of smart grids.

[0005] In view of the above situation, the present invention aims to provide a new solution to solve this problem. Summary of the invention

[0006] The purpose of the present invention is to provide a dynamic power quality monitoring and early warning system and a monitoring and early warning method to solve the problems existing in the above-mentioned background technology.

[0007] The above technical objectives of the present invention are achieved through the following technical solutions:

[0008] In a first aspect, the present application provides a dynamic power quality monitoring and early warning system, the monitoring and early warning system comprising:

[0009] A multi-point data monitoring module is used to obtain power parameter data detected by power sensors installed at different locations in the power grid;

[0010] The signal relay processing module is used to receive the electric energy parameter data transmitted by the multi-point data monitoring module, and perform pre-processing and transmission processing on the electric energy parameter data;

[0011] The data analysis module receives the electric energy parameter data pre-processed and transmitted by the signal relay processing module, and analyzes the received electric energy parameter data to obtain the corresponding comprehensive power quality index;

[0012] The early warning module determines whether the power quality is qualified according to the comprehensive power quality index and the preset judgment conditions. If the judgment result is that the quality is unqualified, the early warning mechanism is triggered;

[0013] Among them, the signal relay processing module includes:

[0014] A data receiving unit, used for receiving electric energy parameter data transmitted by a multi-point data monitoring module;

[0015] A signal preprocessing unit, used for preprocessing the received electric energy parameter data, the preprocessing including filtering, amplification and shaping;

[0016] The data transmission unit is used to transmit the pre-processed electric energy parameter data to the data analysis module via wired or wireless means.

[0017] Based on the above technical solution, the present invention can also be improved as follows.

[0018] Furthermore, the signal preprocessing unit comprises:

[0019] A pre-filter is used to remove high-frequency noise and interference in the data signal output by the electric energy sensor and retain useful low-frequency signals;

[0020] A main amplifier, used to amplify the filtered data signal to increase its amplitude and strength;

[0021] The gain matching component is used to dynamically adjust the gain parameters of the main amplifier and make the signals output by different electric energy sensors consistent in amplitude range.

[0022] Furthermore, the above-mentioned pre-filter comprises a resistor R1, a resistor R2 and a capacitor C1, wherein:

[0023] One end of the resistor R1 is connected to the signal output end of the multi-point data monitoring module, the other end of the resistor R1 is connected in series with the resistor R2 and the capacitor C1, and the other end of the capacitor C1 is grounded.

[0024] Furthermore, the main amplifier includes an op amp U1, a non-inverting input terminal of the op amp U1 is connected to the other end of the resistor R1, an inverting input terminal of the op amp U1 is connected to the adjustment terminal of the gain matching component, and an output terminal of the op amp U1 and an anode of a diode D1 are connected via a resistor R3, a cathode of the diode D1 is connected to an input terminal of the gain matching component, and is connected to a data transmission unit via a resistor R7.

[0025] Furthermore, the gain matching component includes:

[0026] A sampling buffer is used to sample the output signal of the main amplifier and perform buffer stabilization processing;

[0027] an amplifier and shaper, used for amplifying and shaping the sampling signal of the sampling buffer;

[0028] The field effect transistor Q1 has a gate receiving the output signal of the amplifier shaper, a drain of the field effect transistor Q1 connected to the inverting input terminal of the operational amplifier U1, and a source of the field effect transistor Q1 grounded.

[0029] Furthermore, the sampling buffer includes a resistor R4, a resistor R5 and a capacitor C2, wherein:

[0030] One end of the resistor R4 and one end of the capacitor C2 are both connected to the cathode of the diode D1, the other end of the capacitor C2 is connected to one end of the resistor R5, and the other end of the resistor R4 and the other end of the capacitor C5 are connected to the amplifier shaper.

[0031] Furthermore, the above-mentioned amplifier and shaper includes an operational amplifier U2, an inverting input terminal of the operational amplifier U2 is connected to the other end of the resistor R4 and the other end of the resistor R5, and is grounded through the resistor R6, a non-inverting input terminal of the operational amplifier U2 is grounded, an output terminal of the operational amplifier U2 is connected to the gate of the field effect transistor Q1, and a capacitor C3 is also arranged between the inverting input terminal and the output terminal of the operational amplifier U2.

[0032] In a second aspect, the present application provides a dynamic power quality monitoring and early warning method, which is applied to a dynamic power quality monitoring and early warning system of any one of the first aspects, and includes the following specific steps:

[0033] Deploy power sensors at different locations in the power grid, and obtain power parameter data detected by the power sensors through a multi-point data monitoring module;

[0034] The signal relay processing module is used to pre-process the electric energy parameter data, and the pre-processed electric energy parameter data is transmitted to the data analysis module;

[0035] The data analysis module standardizes the received power parameter data and analyzes the corresponding comprehensive power quality index; specifically:

[0036] Positive indicators: Reverse indicators: In the formula, x ij represents the original value of the jth indicator in the i-th sample, x maxj and x minj Respectively represent the maximum and minimum values ​​of the jth index, r rj Indicates the standardized value;

[0037] Using the standardized power parameter data, the proportion, entropy value and weight of each indicator in the power parameter data are calculated, and the comprehensive power quality index is calculated according to the weight of each indicator in the power parameter data and the standardized value;

[0038] The early warning module is used to determine whether the comprehensive power quality index is qualified: if the comprehensive power quality index is not less than the preset value, the power quality is judged to be qualified; if the comprehensive power quality index is less than the preset value, the power quality is judged to be unqualified.

[0039] Furthermore, the proportion, entropy value and weight of the above indicators are obtained in the following way:

[0040] The specific weights of each indicator are as follows: In the formula, p rj It represents the ratio of the standardized value of the jth indicator of the i-th sample in the electric energy parameter data to the sum of the standardized values ​​of all samples of the indicator;

[0041] The entropy values ​​of each indicator are as follows: In the formula, e j represents the entropy value of the jth indicator, p ij represents the weight of the jth indicator, n represents the number of samples, k = 1 / ln(n);

[0042] The weights of each indicator are as follows: Where: d j =1-e j ; In the formula, ω j represents the weight of the jth indicator, d j Indicates the discrete degree of the jth index, e j Represents the entropy value of the jth indicator.

[0043] Furthermore, the above comprehensive power quality index is specifically:

[0044]

[0045] Where PQI represents the comprehensive power quality index corresponding to the power parameter data, ω j represents the weight of the jth indicator, r rjRepresents the standardized value of the j-th indicator.

[0046] Compared with the prior art, the present invention has at least the following beneficial effects:

[0047] In this application, significant technical advantages are proposed for the problems of insufficient data processing capacity and incomplete and inaccurate monitoring results of existing power quality monitoring systems; first, through the collaborative work of multi-point data monitoring modules and signal relay processing modules, real-time and efficient collection and preprocessing of power parameters at different locations in the power grid are realized, significantly improving the integrity and availability of data. Secondly, the data analysis module adopts standardized processing, specific gravity calculation, entropy value calculation and weight distribution methods to comprehensively evaluate the power quality, ensuring the accuracy and reliability of the evaluation results. Finally, the early warning module triggers the early warning mechanism in time according to the evaluation results, providing strong data support and decision-making basis for the operation, maintenance and management of the power grid. The technical solution of this application not only improves the intelligence, automation and integration level of power quality monitoring, but also realizes comprehensive monitoring and timely early warning of power quality, providing a strong guarantee for the stable operation and sustainable development of the power system. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] The drawings described herein are used to provide a further understanding of the embodiments of the present invention, constitute a part of this application, and do not constitute a limitation of the embodiments of the present invention. In the drawings:

[0049] Figure 1 It is a structural block diagram of a dynamic power quality monitoring and early warning system in an embodiment of the present invention;

[0050] Figure 2 A structural connection block diagram of a signal relay processing module and a data analysis module in an embodiment of the present invention;

[0051] Figure 3 is a circuit schematic diagram of a signal preprocessing unit in an embodiment of the present invention;

[0052] Figure 4 The following is a flow chart of the monitoring and early warning method in an embodiment of the present invention. DETAILED DESCRIPTION

[0053] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Generally, the components of the embodiments of the present invention described and shown in the drawings here can be arranged and designed in various different configurations.

[0054] Therefore, the following detailed description of the embodiments of the present invention provided in the accompanying drawings is not intended to limit the scope of the invention claimed for protection, but merely represents selected embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0055] It should be noted that similar reference numerals and letters denote similar items in the following drawings, and therefore, once an item is defined in one drawing, further definition and explanation thereof is not required in subsequent drawings.

[0056] In the description of the embodiments of the present invention, "plurality" means at least 2.

[0057] In the description of the embodiments of the present invention, it is also necessary to explain that, unless otherwise clearly specified and limited, the terms "set", "install", "connect", and "connect" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal connection of two components. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0058] Embodiment 1: In order to solve the problem that the current wavelet transform-based methods, fuzzy logic-based methods, and neural network-based methods are still facing challenges such as sensitive parameter selection, high computational complexity, and limited generalization ability, which cannot be implemented and make it difficult to meet the development needs of smart grids, this embodiment provides a dynamic power quality monitoring and early warning system, such as Figure 1 As shown, the monitoring and early warning system includes:

[0059] The multi-point data monitoring module is used to obtain the electric energy parameter data detected by the electric energy sensors installed at different locations in the power grid.

[0060] Among them, the electric energy sensor includes a current monitoring probe and a voltage monitoring probe, which are used to monitor the current and voltage parameters in the power grid respectively and output these data in the form of analog signals.

[0061] Furthermore, the monitoring and early warning system also includes: a signal relay processing module, which is used to receive the electric energy parameter data transmitted by the multi-point data monitoring module, and perform pre-processing and transmission processing on the electric energy parameter data.

[0062] Among them, the signal relay processing module is responsible for receiving data from the multi-point data monitoring module and performing necessary preprocessing and transmission processing to ensure the integrity and availability of the data.

[0063] Furthermore, the above-mentioned signal relay processing module may include:

[0064] The data receiving unit is used to receive the electric energy parameter data transmitted by the multi-point data monitoring module.

[0065] The data receiving unit needs to receive data from multiple power sensors at the same time. In order to ensure the accuracy and real-time performance of the data, the data receiving unit adopts multi-channel parallel processing, and each channel can independently receive data from a sensor. The received data is identified and classified according to the source channel, and then allocated to different processing queues or buffers for further processing.

[0066] Furthermore, in order to ensure the accuracy of power data collection, a signal preprocessing unit is used to perform necessary processing on the original signal received from the power sensor to improve the signal quality; Figure 2 As shown, the signal relay processing module also includes: a signal preprocessing unit, which is used to preprocess the received electric energy parameter data, and the preprocessing includes filtering processing, amplification processing and shaping processing.

[0067] Optionally, the signal preprocessing unit includes:

[0068] The pre-filter is used to remove high-frequency noise and interference in the data signal output by the electric energy sensor and retain the useful low-frequency signal; the pre-filter includes a resistor R1, a resistor R2 and a capacitor C1, such as Figure 2 and Figure 3 As shown, where:

[0069] One end of the resistor R1 is connected to the signal output end of the multi-point data monitoring module, the other end of the resistor R1 is connected in series with the resistor R2 and the capacitor C1, and the other end of the capacitor C1 is grounded.

[0070] Among them, in the specific working process, the pre-filter uses the RC low-pass filtering principle to remove high-frequency noise and interference in the signal, and only allows low-frequency useful signals to pass. The filtered signal is output from the output end of the filter and is ready to enter the next stage of the main amplifier for processing. The non-inverting input end of the operational amplifier U1 in the main amplifier receives the signal from the pre-filter, and the inverting input end performs dynamic gain control through the adjustment end of the gain matching component.

[0071] Furthermore, the signal preprocessing unit further includes: a main amplifier, which is used to amplify the filtered data signal to increase the amplitude and strength; Figure 3As shown, the main amplifier includes an operational amplifier U1, the non-inverting input terminal of the operational amplifier U1 is connected to the other end of the resistor R1, the inverting input terminal of the operational amplifier U1 is connected to the adjustment terminal of the gain matching component, and the output terminal of the operational amplifier U1 and the anode of the diode D1 are connected through the resistor R3, the cathode of the diode D1 is connected to the input terminal of the gain matching component, and is connected to the data transmission unit through the resistor R7.

[0072] Furthermore, the signal preprocessing unit also includes: a gain matching component, which is used to dynamically adjust the gain parameters of the main amplifier and make the signals output by different electric energy sensors consistent in amplitude range; that is, the gain matching component dynamically adjusts the gain of the amplifier according to the preset gain parameters and the actual situation of the input signal.

[0073] Wherein, the above-mentioned gain matching component includes:

[0074] The sampling buffer is used to sample the output signal of the main amplifier and perform buffer stabilization processing; the sampling buffer includes a resistor R4, a resistor R5 and a capacitor C2, such as Figure 3 As shown, where:

[0075] One end of the resistor R4 and one end of the capacitor C2 are both connected to the cathode of the diode D1, the other end of the capacitor C2 is connected to one end of the resistor R5, and the other end of the resistor R4 and the other end of the capacitor C5 are connected to the amplifier shaper.

[0076] The gain matching component further includes: an amplifier and shaper, which is used to amplify and shape the sampling signal of the sampling buffer; Figure 3 As shown, the amplifier and shaper includes an operational amplifier U2, an inverting input terminal of the operational amplifier U2 is connected to the other end of the resistor R4 and the other end of the resistor R5, and is grounded through a resistor R6, a non-inverting input terminal of the operational amplifier U2 is grounded, an output terminal of the operational amplifier U2 is connected to the gate of the field effect transistor Q1, and a capacitor C3 is also provided between the inverting input terminal and the output terminal of the operational amplifier U2.

[0077] The gain matching component further includes: a field effect transistor Q1, the gate of the field effect transistor Q1 receives the output signal of the amplifier shaper, the drain of the field effect transistor Q1 is connected to the inverting input terminal of the operational amplifier U1, and the source of the field effect transistor Q1 is grounded.

[0078] Specifically, in the gain matching adjustment process of amplifying the sampling signal, the sampling buffer stabilizes the sampling signal through the RC buffer element while retaining the dynamic characteristics of the sampling signal. The operational amplifier U2 in the amplifier and shaper is used to adjust the amplitude of the output signal of the sampling buffer. At the same time, the capacitor C3 is connected between the inverting input terminal and the output terminal of the operational amplifier U2 to provide phase compensation to prevent the signal from being distorted during transmission and stabilize the output waveform of the sampling signal. The field effect tube Q1 is used as a gain control element, and its gate receives the output signal of the amplifier and shaper. The conduction degree of the field effect tube Q1 will change according to the change of the gate voltage, thereby dynamically adjusting the input impedance and gain of the operational amplifier U1. This design not only improves the amplitude and strength of the signal, but also ensures that the signals output by different sensors remain consistent in the amplitude range by dynamically adjusting the gain, so that the signal relay processing module can correctly identify and process it.

[0079] Furthermore, the signal relay processing module also includes: a data transmission unit, which is used to transmit the pre-processed electric energy parameter data to the data analysis module via wired or wireless means.

[0080] Specifically, the data transmission unit is responsible for transmitting the preprocessed signal to the signal relay processing module. The specific data transmission unit includes: a microprocessor for digitally processing the output signal of the signal preprocessing unit; and a communication module for sending the data processed by the microprocessor to the data analysis module.

[0081] Among them, the microprocessor can use the ARM Cortex-M series processor, which has powerful digital signal processing capabilities and can efficiently process the output signal of the signal preprocessing unit. Its digital processing process includes analog-to-digital conversion, signal filtering, data compression and other steps. The communication module can use wired or wireless communication technology, such as Ethernet, Wi-Fi, Bluetooth or ZigBee, to meet the needs of different application scenarios. The Ethernet communication module can provide high-speed and stable data transmission, which is suitable for monitoring equipment in fixed locations; while the wireless communication module provides convenience for mobile monitoring or remote monitoring. In practical applications, the most appropriate communication method can be selected according to factors such as the geographical location of the monitoring point, the data transmission distance and the real-time requirements.

[0082] Furthermore, the monitoring and early warning system may also include: a data analysis module, which receives the electric energy parameter data preprocessed and processed by the signal relay processing module, and analyzes the received electric energy parameter data to obtain a corresponding comprehensive power quality index.

[0083] Specifically, the data analysis module conducts in-depth analysis and processing of the data generated by the signal relay processing module. This module can quantitatively evaluate and measure the power quality by accurately calculating the power quality index (PQI) value. By calculating the PQI value, the quality status of the power in the power system can be accurately reflected, thereby providing reliable data support for subsequent decision-making and optimization.

[0084] Furthermore, the monitoring and early warning system may also include: an early warning module, which obtains a judgment result on whether the power quality is qualified according to the comprehensive power quality index and based on preset judgment conditions, and triggers an early warning mechanism if the judgment result is that the quality is unqualified.

[0085] Specifically, the role of the early warning module is to provide timely early warning of power quality problems that may occur in the power system based on the evaluation results provided by the data analysis module. This module can predict and issue alarms before problems occur by real-time monitoring and analyzing power quality indicators, thereby ensuring the stable operation of the power system.

[0086] Embodiment 2: This embodiment of the present application provides a dynamic power quality monitoring and early warning method, which is applied to a dynamic power quality monitoring and early warning system in any one of Embodiment 1, such as Figure 4 As shown, the specific steps include:

[0087] S1, place power sensors at different locations in the power grid, and obtain power parameter data detected by the power sensors through a multi-point data monitoring module.

[0088] S2, using the signal relay processing module to pre-process the electric energy parameter data, and transmitting the pre-processed electric energy parameter data to the data analysis module.

[0089] S31, the data analysis module performs standardization processing on the received power parameter data, and analyzes and obtains the corresponding comprehensive power quality index; specifically:

[0090] Positive indicators: Reverse indicators: In the formula, x ij represents the original value of the jth indicator in the i-th sample, x maxj and x minj Respectively represent the maximum and minimum values ​​of the jth index, r rj Indicates the standardized value.

[0091] Among them, by integrating multiple indicators, reasonably allocating weights and setting reasonable thresholds, comprehensive monitoring of power quality and timely early warning are achieved. This not only improves the operating efficiency and reliability of the power grid, but also reduces the economic losses caused by power quality problems. Therefore, the present invention has significant advantages and application prospects in the field of power quality monitoring and early warning.

[0092] S32, using the standardized power parameter data, calculate the proportion, entropy value and weight of each indicator in the power parameter data, and calculate the comprehensive power quality index based on the weight of each indicator in the power parameter data and the standardized value.

[0093] Optionally, the proportion, entropy value and weight of the above indicators are obtained by:

[0094] The specific weights of each indicator are as follows: In the formula, p rj It represents the ratio of the standardized value of the jth indicator of the i-th sample in the electric energy parameter data to the sum of the standardized values ​​of all samples of the indicator;

[0095] The entropy values ​​of each indicator are as follows: In the formula, e j represents the entropy value of the jth indicator, p ij represents the weight of the jth indicator, n represents the number of samples, k = 1 / ln(n);

[0096] The weights of each indicator are as follows: Where: d j =1-e j ; In the formula, ω j represents the weight of the jth indicator, d j Indicates the discrete degree of the jth index, e j Represents the entropy value of the jth indicator.

[0097] Furthermore, the above comprehensive power quality index is specifically:

[0098]

[0099] Where PQI represents the comprehensive power quality index corresponding to the power parameter data, ω j represents the weight of the jth indicator, r rj Represents the standardized value of the j-th indicator.

[0100] S4, using the early warning module to determine whether the comprehensive power quality index is qualified: if the comprehensive power quality index is not less than the preset value, the power quality is judged to be qualified; if the comprehensive power quality index is less than the preset value, the power quality is judged to be unqualified.

[0101] Among them, the multi-point data monitoring module deploys power sensors at different key locations in the power grid to achieve real-time monitoring of parameters such as power grid voltage and current. At the same time, the signal relay processing module adopts multi-channel parallel processing technology and advanced signal preprocessing technology to ensure the accuracy and real-time nature of the data and effectively improve the data processing efficiency. Compared with traditional single monitoring equipment or simple data acquisition devices, the present invention can cover a wider monitoring area and obtain more comprehensive power quality data.

[0102] Specifically, in order to address the possible differences and noise interference in the output signals of the electric energy sensors, a dynamic gain matching component is used. This component can dynamically adjust the gain of the amplifier according to the actual situation of the input signal and the preset gain parameters, ensuring that the signals output by different sensors remain consistent in the amplitude range. This design not only improves the amplitude and strength of the signal, but also significantly reduces noise interference, providing a reliable guarantee for subsequent accurate analysis and processing.

[0103] Furthermore, the data processing and analysis algorithm adopted by the data analysis module performs steps such as standardization, weight calculation, entropy value calculation, weight allocation and comprehensive power quality index calculation on the received power quality data, thereby realizing a comprehensive and accurate assessment of the power quality; the early warning module issues timely early warnings for potential power quality problems based on the evaluation results of the data analysis module, thus providing strong support for the operation, maintenance and management of the power grid.

[0104] The specific implementation methods described above further illustrate the objectives, technical solutions and beneficial effects of the present invention in detail. It should be understood that the above description is only a specific implementation method of the present invention and is not intended to limit the scope of protection of the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. A dynamic power quality monitoring and early warning system, characterized in that: The monitoring and early warning system includes: A multi-point data monitoring module is used to obtain power parameter data detected by power sensors installed at different locations in the power grid; A signal relay processing module, used for receiving the electric energy parameter data transmitted by the multi-point data monitoring module, and performing pre-processing and transmission processing on the electric energy parameter data; A data analysis module receives the electric energy parameter data preprocessed and processed by the signal relay processing module, and analyzes the received electric energy parameter data to obtain a corresponding comprehensive power quality index; An early warning module, which determines whether the power quality is qualified according to the comprehensive power quality index and based on preset judgment conditions, and triggers an early warning mechanism if the judgment result is that the quality is unqualified; Wherein, the signal relay processing module includes: A data receiving unit, used for receiving electric energy parameter data transmitted by a multi-point data monitoring module; A signal preprocessing unit, used for preprocessing the received electric energy parameter data, wherein the preprocessing includes filtering, amplification and shaping; The data transmission unit is used to transmit the pre-processed electric energy parameter data to the data analysis module via wired or wireless means.

2. A dynamic power quality monitoring and early warning system according to claim 1, characterized in that: The signal preprocessing unit comprises: A pre-filter, used to remove high-frequency noise and interference in the data signal output by the electric energy sensor and retain useful low-frequency signals; A main amplifier, used to amplify the filtered data signal to increase its amplitude and strength; The gain matching component is used to dynamically adjust the gain parameter of the main amplifier and make the signals output by different electric energy sensors consistent in amplitude range.

3. A dynamic power quality monitoring and early warning system according to claim 2, characterized in that: The pre-filter comprises a resistor R1, a resistor R2 and a capacitor C1, wherein: One end of the resistor R1 is connected to the signal output end of the multi-point data monitoring module, the other end of the resistor R1 is connected in series with the resistor R2 and the capacitor C1, and the other end of the capacitor C1 is grounded.

4. A dynamic power quality monitoring and early warning system according to claim 3, characterized in that: The main amplifier includes an operational amplifier U1, the in-phase input terminal of the operational amplifier U1 is connected to the other end of the resistor R1, the inverting input terminal of the operational amplifier U1 is connected to the adjustment terminal of the gain matching component, and the output terminal of the operational amplifier U1 and the anode of the diode D1 are connected through the resistor R3, the cathode of the diode D1 is connected to the input terminal of the gain matching component, and is connected to the data transmission unit through the resistor R7.

5. A dynamic power quality monitoring and early warning system according to claim 4, characterized in that: The gain matching component comprises: A sampling buffer, used for sampling the output signal of the main amplifier and performing buffer stabilization processing; an amplifier and shaper, used for amplifying and shaping the sampling signal of the sampling buffer; The field effect transistor Q1 has a gate receiving the output signal of the amplifier and shaper, a drain connected to the inverting input terminal of the operational amplifier U1, and a source connected to the ground.

6. A dynamic power quality monitoring and early warning system according to claim 5, characterized in that: The sampling buffer includes a resistor R4, a resistor R5 and a capacitor C2, wherein: One end of the resistor R4 and one end of the capacitor C2 are connected to the cathode of the diode D1, the other end of the capacitor C2 is connected to one end of the resistor R5, and the other end of the resistor R4 and the other end of the capacitor C5 are connected to the amplifier shaper.

7. A dynamic power quality monitoring and early warning system according to claim 6, characterized in that: The amplifier and shaper includes an operational amplifier U2, an inverting input terminal of the operational amplifier U2 is connected to the other end of the resistor R4 and the other end of the resistor R5, and is grounded through a resistor R6, a non-inverting input terminal of the operational amplifier U2 is grounded, an output terminal of the operational amplifier U2 is connected to the gate of the field effect transistor Q1, and a capacitor C3 is also arranged between the inverting input terminal and the output terminal of the operational amplifier U2.

8. A dynamic power quality monitoring and early warning method, applied to a dynamic power quality monitoring and early warning system according to any one of claims 1 to 7, characterized in that: The specific steps include: Deploy power sensors at different locations in the power grid, and obtain power parameter data detected by the power sensors through a multi-point data monitoring module; The signal relay processing module is used to pre-process the electric energy parameter data, and the pre-processed electric energy parameter data is transmitted to the data analysis module; The data analysis module performs standardization on the received power parameter data and obtains the corresponding comprehensive power quality index through analysis; specifically: Positive indicators: Reverse indicators: In the formula, x ij represents the original value of the jth indicator in the i-th sample, x maxj and x minj Respectively represent the maximum and minimum values ​​of the jth index, r rj Indicates the standardized value; Using the standardized power parameter data, the proportion, entropy value and weight of each indicator in the power parameter data are calculated, and the comprehensive power quality index is calculated according to the weight of each indicator in the power parameter data and the standardized value; The early warning module is used to determine whether the comprehensive power quality index is qualified: if the comprehensive power quality index is not less than the preset value, the power quality is judged to be qualified; if the comprehensive power quality index is less than the preset value, the power quality is judged to be unqualified.

9. A dynamic power quality monitoring and early warning method according to claim 8, characterized in that: The proportion, entropy value and weight of each indicator are obtained in the following way: The specific weights of each indicator are as follows: In the formula, p rj It represents the ratio of the standardized value of the jth indicator of the i-th sample in the electric energy parameter data to the sum of the standardized values ​​of all samples of the indicator; The entropy values ​​of each indicator are as follows: In the formula, e j represents the entropy value of the jth indicator, p ij represents the weight of the jth indicator, n represents the number of samples, k = 1 / ln(n); The weights of each indicator are as follows: Where: d j =1-e j ; In the formula, ω j represents the weight of the jth indicator, d j Indicates the discrete degree of the jth index, e j Represents the entropy value of the jth indicator.

10. A dynamic power quality monitoring and early warning method according to claim 8, characterized in that: The comprehensive power quality index is specifically: Where PQI represents the comprehensive power quality index corresponding to the power parameter data, ω j represents the weight of the jth indicator, r rj Represents the standardized value of the j-th indicator.

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