Power supply and distribution supervision system based on data processing

Abstract

The invention relates to the technical field of power supply and distribution supervision, and particularly discloses a power supply and distribution supervision system based on data processing, which comprises a distributed node module, an operation data analysis module, a fault diagnosis analysis module and a performance optimization supervision module. A power supply and distribution system is divided into a plurality of supervision nodes through a distributed node module, operation parameters of each node in each supervision period can be monitored and counted in real time, and a basic operation state coefficient is comprehensively calculated by calculating voltage, current, power factor and power volatility and a normalization value and combining a set adjustment coefficient. Therefore, the operation state of each supervision node in each supervision period can be accurately mastered, factors such as the parameter average value, the volatility and the rated value are comprehensively considered, the operation condition of the system is evaluated more accurately, abnormity can be found in time, and a powerful basis is provided for optimizing operation of a power supply and distribution system, improving the power supply quality and reducing faults and energy waste.

Description

Technical Field

[0001] The present invention relates to the technical field of power supply and distribution supervision, and in particular to a power supply and distribution supervision system based on data processing. Background Art

[0002] As the complexity and importance of power supply and distribution systems increase, ensuring their stable operation has become a key challenge. Traditional monitoring and management methods for power supply and distribution systems rely on manual inspections and manual data analysis, which is not only inefficient but also prone to missing key operating status information. Especially in large-scale power supply and distribution networks, manual supervision is difficult to cover all nodes and time periods, which is very likely to cause safety hazards and failures. Therefore, the research and development and application of power supply and distribution supervision systems based on data processing have important practical significance.

[0003] Traditional power supply and distribution system monitoring methods have many limitations. First, manual monitoring consumes a lot of time and manpower, and it is difficult to detect and handle abnormalities in a timely manner; second, the analysis method based on a single parameter is too rough and it is difficult to accurately evaluate the overall and local operating status of the system; finally, the lack of an effective fault warning mechanism causes delays in fault detection and processing responses, affecting the reliability and quality of power supply.

[0004] To this end, we propose a power supply and distribution supervision system based on data processing. Summary of the invention

[0005] In view of the above situation, in order to overcome the defects of the prior art, the present invention provides a power supply and distribution supervision system based on data processing, in order to solve the above-mentioned technical defects.

[0006] To achieve the above objectives, the present invention is implemented through the following technical solutions: a power supply and distribution supervision system based on data processing, including a distributed node module, an operation data analysis module, a fault diagnosis and analysis module, and a performance optimization supervision module; The distributed node module is used to divide the power supply and distribution system into several supervision nodes, and at the same time, perform real-time monitoring and statistical analysis on the operating parameters of each supervision node in each supervision cycle of the power supply and distribution system, so as to obtain the operating parameters of each supervision node in each supervision cycle of the power supply and distribution system; The operation data analysis module is used to analyze the operation parameters of each supervision node of the power supply and distribution system corresponding to each supervision cycle, and obtain the basic operation state coefficient of each supervision node of the power supply and distribution system corresponding to each supervision cycle; The fault diagnosis and analysis module is used to analyze the basic operation status coefficient of each supervision node in each supervision cycle of the power supply and distribution system, and obtain the basic operation status signal of each supervision node in each supervision cycle of the power supply and distribution system; The performance optimization supervision module is used to analyze and evaluate the voltage status of each supervision node in the power supply and distribution system corresponding to each supervision cycle, and generate an optimization planning scheme for each supervision node in the power supply and distribution system corresponding to each supervision cycle.

[0007] Furthermore, it also includes a fault warning module and a cloud data platform; The fault warning module is used to issue corresponding warning reminders to the basic operation status signals of each supervision node in each supervision cycle of the power supply and distribution system, so as to ensure the timely response to the faults of the power supply and distribution system; The cloud data platform is used to store the operating parameters and basic operating status signals of each supervision node in each supervision cycle of the power supply and distribution system.

[0008] Furthermore, the method of analyzing the operating parameters of each supervision node in each supervision cycle of the power supply and distribution system is as follows: Extracting the operating voltage value, operating current value, power factor and operating power value of each supervision node in the power supply and distribution system corresponding to each supervision cycle from the operating parameters of each supervision node in the power supply and distribution system corresponding to each supervision cycle, and obtaining the average operating voltage, average operating current, average power factor and average operating power of the power supply and distribution system corresponding to each supervision cycle after calculating and processing the above parameters; By comprehensively calculating the operating voltage value, operating current value, power factor and operating power value of each supervision node in each supervision cycle of the power supply and distribution system and the corresponding average value, the voltage fluctuation rate, current fluctuation rate, power factor fluctuation rate and power fluctuation rate of each supervision node in each supervision cycle of the power supply and distribution system are obtained; Based on the above parameters, the voltage fluctuation rate, current fluctuation rate, power factor fluctuation rate and power fluctuation rate of each supervision node in the power supply and distribution system corresponding to each supervision cycle are calculated.

[0009] Furthermore, the voltage normalized value, current normalized value and power normalized value of each supervision node in each supervision cycle of the power supply and distribution system are obtained by comprehensively calculating the average operating voltage, average operating current and average operating power of each supervision node in each supervision cycle of the power supply and distribution system and the corresponding rated value; The normalized value is calculated according to the numerical value of the power factor to obtain the normalized value of the power factor of each supervision node in each supervision cycle of the power supply and distribution system; Finally, combined with the above parameters, the basic operating status coefficient of each supervision node in each supervision cycle of the power supply and distribution system is comprehensively calculated.

[0010] Furthermore, the voltage fluctuation rate is specifically calculated as follows: According to the formula: Calculate the voltage fluctuation rate σ of each supervision node in the power supply and distribution system corresponding to each supervision cycleU Similarly, the current fluctuation rate, power factor fluctuation rate and power fluctuation rate of each supervision node in the power supply and distribution system corresponding to each supervision cycle are calculated. i j Indicates the operating voltage value of each supervision node in the power supply and distribution system corresponding to each supervision cycle, ∆U i It represents the average operating voltage of the power supply and distribution system corresponding to each supervision cycle, i represents the number of each supervision cycle, i=1,2,…,n, n represents the total number of supervision cycle numbers, j represents the number of each supervision node, j=1,2,…,m, m represents the total number of supervision node numbers.

[0011] Furthermore, the power factor is calculated as follows: According to the formula Calculate the power factor normalized value PG of each supervision node in each supervision cycle of the power supply and distribution system; Indicates the phase difference between voltage and current.

[0012] Furthermore, the voltage normalization value is specifically calculated as follows: According to the formula: The voltage normalized value UG of each supervision node in the power supply and distribution system corresponding to each supervision cycle is calculated. Similarly, the current normalized value and power normalized value of each supervision node in the power supply and distribution system corresponding to each supervision cycle are calculated.

[0013] Furthermore, the specific calculation method of the basic operation status coefficient of each supervision node in each supervision cycle of the power supply and distribution system is as follows: According to the formula The basic operating state coefficient S of each supervision node in each supervision cycle of the power supply and distribution system is calculated. k1, k2, k3 and k4 represent the corresponding set adjustment coefficients, which are used to adjust the influence of volatility on the basic operating state coefficient.

[0014] Furthermore, the specific analysis process of the basic operation status coefficient of each supervision node in each supervision cycle of the power supply and distribution system is as follows: Obtain the preset basic operating status coefficient threshold of each supervision node in each supervision cycle of the power supply and distribution system from the cloud data platform; Compare the basic operating state coefficient of each supervision node in each supervision cycle of the power supply and distribution system with the preset basic operating state coefficient threshold, and generate a good operating state signal, an abnormal voltage signal, an abnormal current signal, an abnormal power factor signal and an abnormal power signal; The basic operation status signal of each supervision node in each supervision cycle of the power supply and distribution system is composed of the good operation status signal, abnormal voltage signal, abnormal current signal, abnormal power factor signal and abnormal power signal.

[0015] Furthermore, the method for analyzing and evaluating the voltage status of each supervision node in each supervision cycle of the power supply and distribution system is as follows: The voltage change amplitude and voltage data of each supervision node in each supervision period of the power supply and distribution system corresponding to each supervision cycle are extracted from the operating parameters of each supervision node in each supervision period of the power supply and distribution system, and are recorded as UV f and UY f , f represents the number of each supervision period, f=1,2,…,g, g represents the total number of supervision period numbers, and the time interval of each supervision period is recorded as ∆t; According to the formula: Calculate the voltage slope K of each supervision node in each supervision period of the power supply and distribution system; Obtain the voltage change amplitude of each supervision node in each supervision period of the distribution system corresponding to each supervision cycle; The voltage slope standard value and voltage variation amplitude standard value of each supervision node in each supervision period of the power supply and distribution system are obtained by calculation respectively; The voltage slope standard value and the voltage change amplitude standard value are multiplied by the corresponding set weight coefficients respectively, and then the two product results are summed to obtain the fault diagnosis index of each supervision node in each supervision period of the distribution system corresponding to each supervision cycle; The fault diagnosis index of each supervision node in each supervision period of the distribution system corresponding to each supervision cycle is compared with the preset fault diagnosis index threshold. If the fault diagnosis index of each supervision node in each supervision period of the distribution system corresponding to each supervision cycle is less than the preset fault diagnosis index threshold, it means that the power supply and distribution system is operating stably. If the fault diagnosis index of each supervision node in each supervision period of the distribution system corresponding to each supervision cycle is greater than the preset fault diagnosis index threshold, it means that there is a voltage fluctuation fault in the power supply and distribution system. The voltage of the power supply and distribution system is temporarily sagged, and the voltage sag depth, duration and phase jump characteristics are extracted to evaluate the severity of the fault.

[0016] Beneficial effects of the present invention: 1. In the present invention, the power supply and distribution system is divided into several supervision nodes through the distributed node module, and the operating parameters of each node in each supervision cycle can be monitored and counted in real time. On this basis, the basic operation data analysis module calculates the fluctuation rate and normalized value of voltage, current, power factor and power by summing and averaging the operating voltage value, current value, power factor and power value, and then comprehensively calculates the basic operation status coefficient in combination with the set adjustment coefficient, so as to accurately grasp the operation status of each supervision node in each supervision cycle, comprehensively consider factors such as parameter average value, fluctuation rate and rated value, more accurately evaluate the system operation status, help to discover abnormalities in time, and provide a strong basis for optimizing the operation of the power supply and distribution system, improving power supply quality, reducing failures and energy waste, etc.

[0017] 2. In the present invention, the basic operating status coefficient threshold value preset based on past historical data and combined with the importance of the application scenario of the power supply and distribution system is obtained from the cloud data platform, so that the judgment standard is practical and scientific and reasonable, and then the basic operating status coefficient of each supervision node in each supervision cycle is compared with it, so as to quickly and intuitively judge whether the overall and local operating status of the power supply and distribution system is good or abnormal. When the operating status is abnormal, the normalized values ​​of voltage, current, power factor and power are further checked to specifically locate the cause of the abnormality, and corresponding abnormal signals are generated respectively, which is helpful for operation and maintenance personnel to accurately and efficiently know the problem and achieve rapid response and targeted processing, thereby effectively improving the operating reliability of the power supply and distribution system, reducing fault power outage time, ensuring stable power supply for various loads, and improving the operation and maintenance management level and power supply quality of the entire power supply and distribution system.

[0018] 3. In the present invention, by extracting operating parameters such as voltage change amplitude and voltage data from each supervision cycle, each supervision node and each supervision period of the power supply and distribution system to calculate key indicators such as voltage slope, it is possible to comprehensively and meticulously grasp the voltage changes in different time periods, and then further calculate the standard value of voltage slope and voltage change amplitude, and combine the weight coefficient to obtain the fault diagnosis index, and compare it with the preset threshold value, it is possible to accurately judge whether the power supply and distribution system is in a stable operation state or there is a voltage fluctuation fault, and realize efficient and accurate evaluation of the voltage state. In addition, when it is determined that there is a voltage fluctuation fault, it is also possible to extract characteristics such as voltage sag depth, duration and phase jump to evaluate the severity of the fault, which helps operation and maintenance personnel to clearly understand the fault situation, so as to formulate optimization planning plans in a targeted manner, take measures in advance to prevent faults from occurring, and deal with existing faults in a timely manner, effectively improving the voltage stability of the power supply and distribution system and the reliability of the overall operation. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] The present invention will be further described below in conjunction with the accompanying drawings.

[0020] Figure 1The present invention is a block diagram of a power supply and distribution monitoring system based on data processing according to an embodiment of the present invention. DETAILED DESCRIPTION

[0021] The technical solutions in the embodiments of the present invention will be described clearly and completely below in conjunction with the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work also fall within the scope of protection of the present invention.

[0022] As shown in the present invention and claims, unless the context clearly indicates an exception, the words "a", "an", "an" and / or "the" do not refer to the singular, but also include the plural. Generally speaking, the terms "include" and "comprise" only indicate the inclusion of the steps and elements that have been clearly identified, and these steps and elements do not constitute an exclusive list, and the method or device may also include other steps or elements.

[0023] Although the present invention has made various references to certain modules in the system according to an embodiment of the present invention, any number of different modules can be used and run on a user terminal and / or server. The modules are only illustrative, and different aspects of the system and method can use different modules.

[0024] The present invention uses a flow chart to illustrate the operations performed by the system according to an embodiment of the present invention. It should be understood that the preceding or following operations are not necessarily performed precisely in order. On the contrary, various steps may be processed in reverse order or simultaneously as required. At the same time, other operations may also be added to these processes, or one or more operations may be removed from these processes.

[0025] Below, the exemplary embodiments according to the present invention will be described in detail with reference to the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments of the present invention, and it should be understood that the present invention is not limited to the exemplary embodiments described here.

[0026] Example 1: Please refer to Figure 1 As shown, the power supply and distribution supervision system based on data processing includes: a distributed node module, an operation data analysis module, a fault diagnosis and analysis module, a performance optimization supervision module, a fault warning module and a cloud data platform; The distributed node module is used to divide the power supply and distribution system into several supervision nodes, and at the same time, perform real-time monitoring and statistical analysis on the operating parameters of each supervision node in each supervision cycle of the power supply and distribution system, so as to obtain the operating parameters of each supervision node in each supervision cycle of the power supply and distribution system; The operation data analysis module is used to analyze the operation parameters of each supervision node in the power supply and distribution system corresponding to each supervision cycle, and obtain the basic operation state coefficient of each supervision node in the power supply and distribution system corresponding to each supervision cycle. The analysis method is as follows: The operating voltage value, operating current value, power factor and operating power value of each supervision node in each supervision cycle of the power supply and distribution system are extracted from the operating parameters of each supervision node in each supervision cycle of the power supply and distribution system, and are recorded as SU i j 、SI i j , SP i j and SF i j , i represents the number of each supervision cycle, i=1,2,…,n, n represents the total number of supervision cycle numbers, j represents the number of each supervision node, j=1,2,…,m, m represents the total number of supervision node numbers, the operating voltage value, operating current value, power factor and operating power value of each supervision node in each supervision cycle of the power supply and distribution system are summed up and divided by the number of each supervision node to obtain the average operating voltage, operating current, power factor and operating power of the power supply and distribution system corresponding to each supervision cycle, which are recorded as ∆U respectively. i , ∆I i ,∆P i and ∆F i ; The voltage fluctuation rate, current fluctuation rate, power factor fluctuation rate and power fluctuation rate of each supervision node in each supervision cycle of the power supply and distribution system are obtained by comprehensively calculating the operating voltage value, operating current value, power factor and operating power value of each supervision node in each supervision cycle of the power supply and distribution system and the corresponding average value, which are denoted as σ U , σ I , σ P and σ F ; The specific calculation method of voltage fluctuation rate is as follows: According to the formula: Calculate the voltage fluctuation rate σ of each supervision node in the power supply and distribution system corresponding to each supervision cycle U Similarly, the current fluctuation rate, power factor fluctuation rate and power fluctuation rate of each supervision node in the power supply and distribution system corresponding to each supervision cycle are calculated.

[0027] Obtain the voltage rating, current rating and power rating of each supervision node in each supervision cycle of the power supply and distribution system from the cloud data platform, and set the ideal power factor to 0.9-1; At the same time, the average operating voltage, average operating current and average operating power of each supervision node in each supervision cycle of the power supply and distribution system are comprehensively calculated with the corresponding rated values ​​to obtain the voltage normalized value, current normalized value and power normalized value of each supervision node in each supervision cycle of the power supply and distribution system, which are recorded as UG, IG and FG respectively; Calculate the normalized value of the power factor according to the formula Calculate the power factor normalized value PG of each supervision node in each supervision cycle of the power supply and distribution system; Indicates the phase difference between voltage and current.

[0028] The specific calculation method of the voltage normalization value is as follows: According to the formula: Calculate the voltage normalized value UG of each supervision node in the power supply and distribution system corresponding to each supervision cycle. Similarly, calculate the current normalized value and power normalized value of each supervision node in the power supply and distribution system corresponding to each supervision cycle. Combined with the above parameters, the basic operating state coefficient S of each supervision node in each supervision cycle of the power supply and distribution system is comprehensively calculated; The specific calculation method is as follows: According to the formula The basic operating state coefficient S of each supervision node in each supervision cycle of the power supply and distribution system is calculated. k1, k2, k3 and k4 represent the corresponding set adjustment coefficients, which are used to adjust the influence of volatility on the basic operating state coefficient.

[0029] In a specific embodiment, the present invention divides the power supply and distribution system into several supervision nodes through a distributed node module, and can monitor and count the operating parameters of each node in each supervision cycle in real time. On this basis, the basic operation data analysis module calculates the fluctuation rate and normalized value of voltage, current, power factor and power by summing and averaging the operating voltage value, current value, power factor and power value, and then comprehensively calculates the basic operation status coefficient in combination with the set adjustment coefficient, so as to accurately grasp the operating status of each supervision node in each supervision cycle, comprehensively consider factors such as parameter average value, fluctuation rate and rated value, more accurately evaluate the system operation status, help to discover anomalies in time, and provide a strong basis for optimizing the operation of the power supply and distribution system, improving power supply quality, reducing failures and energy waste, etc.

[0030] The fault diagnosis and analysis module is used to analyze the basic operation status coefficient of each supervision node in each supervision cycle of the power supply and distribution system, and obtain the basic operation status signal of each supervision node in each supervision cycle of the power supply and distribution system. The specific analysis process is as follows: The preset basic operating status coefficient threshold of each supervision node in each supervision cycle of the power supply and distribution system is obtained from the cloud data platform; it should be noted that the preset basic operating status coefficient threshold is obtained by statistically analyzing past historical data combined with the importance of application scenarios of the power supply and distribution system. For example, the value of the basic operating status coefficient of the power supply and distribution system during normal operation in the past year is generally higher than 0.8. At the same time, the power supply and distribution system is used in a hospital, then 0.9 can be used as the preset basic operating status coefficient threshold.

[0031] The basic operating state coefficient of each supervision node in each supervision cycle of the power supply and distribution system is compared with the preset basic operating state coefficient threshold. If the basic operating state coefficient of each supervision node in each supervision cycle of the power supply and distribution system is greater than the preset basic operating state coefficient threshold, it means that the power supply and distribution system is in good operating state, and a good operating state signal is generated; if the basic operating state coefficient of a supervision node in a supervision cycle of the power supply and distribution system is less than the preset basic operating state coefficient threshold, it means that the power supply and distribution system is in abnormal operating state. At this time, the power supply and distribution system corresponding to the supervision node in the supervision cycle is checked respectively. The voltage normalization value, current normalization value, power factor normalization value and power normalization value of the node. If the voltage normalization value is 0, it means that the voltage of the supervision node of the power supply and distribution system corresponding to the supervision period is seriously abnormal, and a voltage abnormality signal is generated; if the current normalization value is 0, it means that the voltage of the supervision node of the power supply and distribution system corresponding to the supervision period is overloaded, and a current abnormality signal is generated; if the power factor normalization value is less than 0.2, it means that there are a large number of inductive loads in the system, and a power factor abnormality signal is generated; if the power normalization value is 0, it means that the power abnormality increases due to equipment failure, and a power abnormality signal is generated; The basic operation status signal of each supervision node in each supervision cycle of the power supply and distribution system is composed of the good operation status signal, abnormal voltage signal, abnormal current signal, abnormal power factor signal and abnormal power signal.

[0032] In a specific embodiment, the present invention obtains the basic operating status coefficient threshold value preset based on past historical data and combined with the importance of the application scenario of the power supply and distribution system from the cloud data platform, so that the judgment standard is practical and scientific and reasonable, and then compares the basic operating status coefficient of each supervision node in each supervision cycle with it, so as to quickly and intuitively judge whether the overall and local operating status of the power supply and distribution system is good or abnormal. When the operating status is abnormal, the normalized values ​​of voltage, current, power factor and power are further checked to specifically locate the cause of the abnormality, and corresponding abnormal signals are generated respectively, which helps operation and maintenance personnel to accurately and efficiently know the problem, achieve rapid response and targeted processing, thereby effectively improving the operating reliability of the power supply and distribution system, reducing fault power outage time, ensuring stable power supply for various loads, and improving the operation and maintenance management level and power supply quality of the entire power supply and distribution system.

[0033] The performance optimization supervision module is used to analyze and evaluate the voltage status of each supervision node in the power supply and distribution system corresponding to each supervision cycle, and generate an optimization planning scheme for each supervision node in the power supply and distribution system corresponding to each supervision cycle. The comprehensive evaluation method is as follows: The voltage change amplitude and voltage data of each supervision node in each supervision period of the power supply and distribution system corresponding to each supervision cycle are extracted from the operating parameters of each supervision node in each supervision period of the power supply and distribution system, and are recorded as UV f and UY f , f represents the number of each supervision period, f=1,2,…,g, g represents the total number of supervision period numbers, and the time interval of each supervision period is recorded as ∆t; According to the formula: Calculate the voltage slope K of each supervision node in each supervision period of the power supply and distribution system; The voltage signal is obtained through the voltage transformer set at each supervision node in each supervision cycle of the power supply and distribution system, and converted into a digital signal through the data acquisition card. The difference between the maximum voltage value and the minimum voltage value in each supervision period is calculated to obtain the voltage change amplitude of each supervision node in each supervision period in the power distribution system corresponding to each supervision cycle; The voltage slope and the minimum voltage slope of each regulatory node in each regulatory period of the distribution system corresponding to each regulatory cycle are subtracted, and at the same time, the maximum voltage slope and the minimum voltage slope of each regulatory node in each regulatory period of the distribution system corresponding to each regulatory cycle are subtracted, and the two differences are compared and calculated to obtain the standard value of the voltage slope of each regulatory node in each regulatory period of the distribution system corresponding to each regulatory cycle. Similarly, the standard value of the voltage change amplitude of each regulatory node in each regulatory period of the distribution system corresponding to each regulatory cycle is calculated; The voltage slope standard value and the voltage change amplitude standard value are multiplied by the corresponding set weight coefficients respectively, and then the two product results are summed to obtain the fault diagnosis index of each supervision node in each supervision period of the distribution system corresponding to each supervision cycle; The fault diagnosis index of each supervision node in each supervision period of the distribution system corresponding to each supervision cycle is compared with the preset fault diagnosis index threshold. If the fault diagnosis index of each supervision node in each supervision period of the distribution system corresponding to each supervision cycle is less than the preset fault diagnosis index threshold, it means that the power supply and distribution system is operating stably. If the fault diagnosis index of each supervision node in each supervision period of the distribution system corresponding to each supervision cycle is greater than the preset fault diagnosis index threshold, it means that there is a voltage fluctuation fault in the power supply and distribution system. The voltage of the power supply and distribution system is temporarily sagged, and the voltage sag depth, duration and phase jump characteristics are extracted to evaluate the severity of the fault.

[0034] In a specific embodiment, the present invention calculates key indicators such as voltage slope by extracting operating parameters such as voltage change amplitude and voltage data from each supervision cycle, each supervision node and each supervision period of the power supply and distribution system, so as to comprehensively and meticulously grasp the voltage changes in different time periods, and further calculate the standard value of voltage slope and voltage change amplitude, and obtain the fault diagnosis index in combination with the weight coefficient, and compare it with the preset threshold value, so as to accurately judge whether the power supply and distribution system is in a stable operation state or there is a voltage fluctuation fault, and realize efficient and accurate evaluation of the voltage state. In addition, when it is determined that there is a voltage fluctuation fault, it is also possible to extract characteristics such as voltage sag depth, duration and phase jump to evaluate the severity of the fault, which helps operation and maintenance personnel to clearly understand the fault situation, so as to formulate optimization planning plans in a targeted manner, take measures in advance to prevent faults from occurring, and deal with existing faults in a timely manner, so as to effectively improve the voltage stability of the power supply and distribution system and the reliability of overall operation.

[0035] The fault warning module is used to issue corresponding early warning reminders to the basic operating status signals of each supervision node in the power supply and distribution system corresponding to each supervision cycle, so as to ensure the timely response to the faults of the power supply and distribution system.

[0036] The cloud data platform is used to store the operating parameters and basic operating status signals of each supervision node in each supervision cycle of the power supply and distribution system.

[0037] In summary, the power supply and distribution supervision system based on data processing proposed in the present invention has produced many beneficial effects through the coordinated cooperation of distributed node modules, operation data analysis modules, fault diagnosis and analysis modules, performance optimization supervision modules, fault warning modules and cloud data platforms. The distributed node module subdivides the power supply and distribution system into supervision nodes and monitors and counts the operation parameters in real time. The operation data analysis module takes this as a basis to comprehensively consider factors such as parameter average values, fluctuation rates and rated values, and accurately calculates the basic operation status coefficients of each supervision node in each supervision cycle, which helps to accurately evaluate the system operation status and detect anomalies in time, providing strong support for optimizing the system and improving the power supply quality. The fault diagnosis and analysis module compares the basic operation status coefficients with practical and scientifically reasonable preset thresholds, which can not only intuitively judge the overall and local operation status of the system, but also accurately locate the causes and generate corresponding abnormal signals in the event of anomalies, which is convenient for operation and maintenance personnel to respond quickly and deal with them in a targeted manner, thereby enhancing the reliability of system operation. The performance optimization and supervision module calculates the fault diagnosis index by carefully analyzing voltage-related indicators, accurately assesses the voltage status, and can extract key features to assess the severity when a fault is found, helping operation and maintenance personnel to develop optimization plans, prevent and handle faults, and improve voltage stability and overall operational reliability. The fault warning module can provide timely reminders based on basic operating status signals to ensure timely response to faults. The cloud data platform is responsible for storing various types of relevant data for easy access and viewing at any time. From data collection, analysis, diagnosis to warning and storage, the entire system ensures the safe, stable and efficient operation of the power supply and distribution system, reduces power outage time due to faults, ensures stable power supply for various loads, and improves the operation and maintenance management level and power supply quality.

[0038] The above formulas are all dimensionless and numerical calculations. The formula is a formula that is obtained by collecting a large amount of data and performing software simulation to obtain the most recent real situation. The size of the coefficient is to quantify each parameter to obtain a specific value. Regarding the size of the coefficient, it is acceptable as long as it does not affect the proportional relationship between the parameter and the quantified value.

[0039] In addition, those skilled in the art will appreciate that various aspects of the present invention may be illustrated and described by a number of patentable categories or situations, including any new and useful process, machine, product or combination of substances, or any new and useful improvements thereto. Accordingly, various aspects of the present invention may be performed entirely by hardware, entirely by software (including firmware, resident software, microcode, etc.), or by a combination of hardware and software. The above hardware or software may all be referred to as "data blocks", "modules", "engines", "units", "components" or "systems". In addition, various aspects of the present invention may be represented as a computer product located in one or more computer-readable media, which includes computer-readable program code.

[0040] Unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which the invention belongs. It should also be understood that terms such as those defined in common dictionaries should be interpreted as having a meaning consistent with their meaning in the context of the relevant technology and should not be interpreted in an idealized or extremely formal sense, unless explicitly defined as such herein.

[0041] The above is an explanation of the present invention and should not be considered as a limitation thereof. Although several exemplary embodiments of the present invention have been described, it will be readily appreciated by those skilled in the art that many modifications may be made to the exemplary embodiments without departing from the novel teachings and advantages of the present invention. Therefore, all such modifications are intended to be included within the scope of the present invention as defined in the claims. It should be understood that the above is an explanation of the present invention and should not be considered as being limited to the specific embodiments disclosed, and modifications to the disclosed embodiments and other embodiments are intended to be included within the scope of the appended claims. The present invention is defined by the claims and their equivalents.

Claims

1. A power supply and distribution supervision system based on data processing, characterized in that: Including distributed node module, operation data analysis module, fault diagnosis and analysis module, and performance optimization and supervision module; The distributed node module is used to divide the power supply and distribution system into several supervision nodes, and at the same time, perform real-time monitoring and statistical analysis on the operating parameters of each supervision node in each supervision cycle of the power supply and distribution system, so as to obtain the operating parameters of each supervision node in each supervision cycle of the power supply and distribution system; The operation data analysis module is used to analyze the operation parameters of each supervision node of the power supply and distribution system corresponding to each supervision cycle, and obtain the basic operation state coefficient of each supervision node of the power supply and distribution system corresponding to each supervision cycle; The fault diagnosis and analysis module is used to analyze the basic operation status coefficient of each supervision node in each supervision cycle of the power supply and distribution system, and obtain the basic operation status signal of each supervision node in each supervision cycle of the power supply and distribution system; The performance optimization supervision module is used to analyze and evaluate the voltage status of each supervision node in the power supply and distribution system corresponding to each supervision cycle, and generate an optimization planning scheme for each supervision node in the power supply and distribution system corresponding to each supervision cycle.

2. The power supply and distribution supervision system based on data processing according to claim 1 is characterized in that: It also includes a fault warning module and a cloud data platform; The fault warning module is used to issue corresponding warning reminders to the basic operation status signals of each supervision node in each supervision cycle of the power supply and distribution system, so as to ensure the timely response to the faults of the power supply and distribution system; The cloud data platform is used to store the operating parameters and basic operating status signals of each supervision node in each supervision cycle of the power supply and distribution system.

3. The power supply and distribution supervision system based on data processing according to claim 1 is characterized in that: The method of analyzing the operating parameters of each supervision node in each supervision cycle of the power supply and distribution system is as follows: Extracting the operating voltage value, operating current value, power factor and operating power value of each supervision node in the power supply and distribution system corresponding to each supervision cycle from the operating parameters of each supervision node in the power supply and distribution system corresponding to each supervision cycle, and obtaining the average operating voltage, average operating current, average power factor and average operating power of the power supply and distribution system corresponding to each supervision cycle after calculating and processing the above parameters; By comprehensively calculating the operating voltage value, operating current value, power factor and operating power value of each supervision node in each supervision cycle of the power supply and distribution system and the corresponding average value, the voltage fluctuation rate, current fluctuation rate, power factor fluctuation rate and power fluctuation rate of each supervision node in each supervision cycle of the power supply and distribution system are obtained; Based on the above parameters, the voltage fluctuation rate, current fluctuation rate, power factor fluctuation rate and power fluctuation rate of each supervision node in the power supply and distribution system corresponding to each supervision cycle are calculated.

4. The power supply and distribution supervision system based on data processing according to claim 3 is characterized in that: The voltage normalized value, current normalized value and power normalized value of each supervision node in each supervision cycle of the power supply and distribution system are obtained by comprehensively calculating the average operating voltage, average operating current and average operating power of each supervision node in each supervision cycle of the power supply and distribution system and the corresponding rated value; The normalized value is calculated according to the numerical value of the power factor to obtain the normalized value of the power factor of each supervision node in each supervision cycle of the power supply and distribution system; Finally, combined with the above parameters, the basic operating status coefficient of each supervision node in each supervision cycle of the power supply and distribution system is comprehensively calculated.

5. The power supply and distribution supervision system based on data processing according to claim 4 is characterized in that: The specific calculation method of the voltage fluctuation rate is as follows: According to the formula: Calculate the voltage fluctuation rate σ of each supervision node in the power supply and distribution system corresponding to each supervision cycle U Similarly, the current fluctuation rate, power factor fluctuation rate and power fluctuation rate of each supervision node in the power supply and distribution system corresponding to each supervision cycle are calculated, which are denoted as σ I , σ P and σ F SU i j Indicates the operating voltage value of each supervision node in the power supply and distribution system corresponding to each supervision cycle, ∆U i It represents the average operating voltage of the power supply and distribution system corresponding to each supervision cycle, i represents the number of each supervision cycle, i=1,2,…,n, n represents the total number of supervision cycle numbers, j represents the number of each supervision node, j=1,2,…,m, m represents the total number of supervision node numbers.

6. The power supply and distribution supervision system based on data processing according to claim 5 is characterized in that: The specific calculation method of the basic operation status coefficient of each supervision node in each supervision cycle of the power supply and distribution system is as follows: By calculating the operating voltage value, operating current value, power factor and operating power value of each supervision node in each supervision cycle of the power supply and distribution system, the voltage normalized value, current normalized value, power factor normalized value and power normalized value of each supervision node in each supervision cycle of the power supply and distribution system are obtained, which are recorded as UG, IG, PG and FG respectively; According to the formula The basic operating state coefficient S of each supervision node in each supervision cycle of the power supply and distribution system is calculated. k1, k2, k3 and k4 represent the corresponding set adjustment coefficients, which are used to adjust the influence of volatility on the basic operating state coefficient.

7. The power supply and distribution supervision system based on data processing according to claim 1 is characterized in that: The specific analysis process of the basic operation status coefficient of each supervision node in each supervision cycle of the power supply and distribution system is as follows: Obtain the preset basic operating status coefficient threshold of each supervision node in each supervision cycle of the power supply and distribution system from the cloud data platform; Compare the basic operating state coefficient of each supervision node in each supervision cycle of the power supply and distribution system with the preset basic operating state coefficient threshold, and generate a good operating state signal, an abnormal voltage signal, an abnormal current signal, an abnormal power factor signal and an abnormal power signal; The basic operation status signal of each supervision node in each supervision cycle of the power supply and distribution system is composed of the good operation status signal, abnormal voltage signal, abnormal current signal, abnormal power factor signal and abnormal power signal.

8. The power supply and distribution supervision system based on data processing according to claim 1 is characterized in that: The method for analyzing and evaluating the voltage status of each supervision node in each supervision cycle of the power supply and distribution system is as follows: The voltage change amplitude and voltage data of each supervision node in each supervision period of the power supply and distribution system corresponding to each supervision cycle are extracted from the operating parameters of each supervision node in each supervision period of the power supply and distribution system, and are recorded as UV f and UY f , f represents the number of each supervision period, f=1,2,…,g, g represents the total number of supervision period numbers, and the time interval of each supervision period is recorded as ∆t; According to the formula: Calculate the voltage slope K of each supervision node in each supervision period of the power supply and distribution system; Obtain the voltage change amplitude of each supervision node in each supervision period of the distribution system corresponding to each supervision cycle; The standard values ​​of voltage slope and voltage variation amplitude at each supervision node and each supervision period in each supervision cycle of the power supply and distribution system are obtained by calculation; The voltage slope standard value and the voltage change amplitude standard value are multiplied by the corresponding set weight coefficients respectively, and then the two product results are summed to obtain the fault diagnosis index of each supervision node in each supervision period of the distribution system corresponding to each supervision cycle; The fault diagnosis index of each supervision node in each supervision period of the distribution system corresponding to each supervision cycle is compared with the preset fault diagnosis index threshold. If the fault diagnosis index of each supervision node in each supervision period of the distribution system corresponding to each supervision cycle is less than the preset fault diagnosis index threshold, it means that the power supply and distribution system is operating stably. If the fault diagnosis index of each supervision node in each supervision period of the distribution system corresponding to each supervision cycle is greater than the preset fault diagnosis index threshold, it means that there is a voltage fluctuation fault in the power supply and distribution system. The voltage of the power supply and distribution system is temporarily sagged, and the voltage sag depth, duration and phase jump characteristics are extracted to evaluate the severity of the fault.

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