User power utilization quality evaluation method based on PMS system

Abstract

The invention relates to the technical field of user power utilization quality evaluation, in particular to a user power utilization quality evaluation method based on a PMS system. The method comprises the steps that user electricity utilization quality information is acquired based on a PMS system, and the user electricity utilization quality information comprises electric energy quality information and power supply reliability information; determining the weight of each user power utilization quality index based on the user power utilization quality index, generating a user power utilization quality index based on the user power utilization quality information, the weight of each user power utilization quality index and the user power utilization quality index, and calculating a user power utilization reliability index based on the power supply reliability information; the user power utilization quality evaluation coefficient is calculated based on the user power utilization quality index and the user power utilization reliability index, and the user power utilization quality is evaluated based on the user power utilization quality evaluation coefficient, so that a perfect evaluation index can be established, the power utilization quality conditions of all users can be comprehensively reflected, and the evaluation efficiency and the accuracy of an evaluation result are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of user electricity quality assessment, and in particular to a user electricity quality assessment method based on a PMS system. Background Art

[0002] With the rapid development of the power industry, users have higher and higher requirements for power quality. Power quality is not only related to the stable operation of the power system, but also directly affects the user's power experience and the normal operation of equipment. Therefore, evaluating the user's power quality and timely discovering and solving power quality problems are of great significance to ensuring the stability of the power system and the user's power safety. A user power quality evaluation method based on PMS (Power Production Management System) came into being. This method uses the powerful functions and data advantages of the PMS system to achieve a comprehensive and accurate evaluation of the user's power quality.

[0003] In the existing technology, when faced with massive power grid data, it is impossible to fully reflect the power quality status of all users due to the lack of a complete evaluation index. Furthermore, traditional user power quality assessment often relies on manual work, resulting in low efficiency and inaccurate evaluation results.

[0004] Therefore, there is an urgent need for a user power quality assessment method based on the PMS system to solve the above problems. Summary of the invention

[0005] The purpose of the present invention is to provide a method for evaluating the power quality of users based on the PMS system: to solve the technical problem that when evaluating the power quality of users, the existing solutions cannot fully reflect the power quality status of all users due to the lack of established perfect evaluation indicators, and rely on manual processing, resulting in low efficiency and inaccurate evaluation results.

[0006] The purpose of the present invention can be achieved through the following technical solutions: A method for evaluating user power quality based on a PMS system is applied to the PMS system, and the method includes: Acquire user power quality information based on the PMS system, where the user power quality information includes power quality information and power supply reliability information; Determine the weight of each user's power quality indicator based on the user's power quality indicator, generate a user's power quality index based on the user's power quality information, the weight of each user's power quality indicator and the user's power quality indicator, and calculate the user's power reliability index based on the power supply reliability information; A user power quality assessment coefficient is calculated based on the user power quality index and the user power reliability index, and the user power quality is assessed based on the user power quality assessment coefficient.

[0007] Furthermore, determining the weight of each user's power quality indicator based on the user's power quality indicator specifically includes the following process: Assuming that there are m pieces of user power quality information and n user power quality indicators, the matrix formed by forward processing of the user power quality indicator values ​​is: : ; Represents the measurement data of user power quality index j to which user power quality information i belongs; Calculate the information entropy of the jth user's power quality index : ; ; in, It represents the probability ratio of the index j to which the user power quality information i belongs to all the indexes corresponding to the user power quality information i; Calculate the entropy weight of the power quality index of the jth user for: ; in, is the information entropy of the power quality index of the g-th user.

[0008] Furthermore, the positive processing of the user's power quality index value specifically includes the following process: ; in, Indicates the minimum value of the measured data, Indicates the minimum value of the measured data.

[0009] Furthermore, generating a user power quality index based on the user power quality information, the weight of each user power quality index and the user power quality index specifically includes the following process: Based on the user's power quality information, obtain the voltage deviation of the user's power consumption, based on the user's power quality index, obtain the endpoint value of the standard range of the voltage deviation of the user's power consumption, and calculate the proportion A of the voltage deviation to the endpoint value; Based on the user's power quality information, a voltage flicker qualified rate of the user's power is obtained; based on the user's power quality index, a voltage flicker qualified rate threshold of the user's power is obtained; and a ratio B of the voltage flicker qualified rate to the voltage flicker qualified rate threshold is calculated; Obtain the three-phase voltage imbalance C of the user's electricity based on the user's electricity quality information; Obtaining the harmonic distortion rate D of the user's electricity based on the user's electricity quality information; Substitute the ratio A, ratio B, three-phase voltage unbalance C and harmonic distortion rate D into the user power quality index calculation formula to obtain the user power quality index YDZ, which is as follows: ; in, Indicates the weight of the voltage deviation index of the user's electricity consumption, Indicates the weight of the voltage flicker qualification rate index of the user's electricity consumption, Indicates the weight of the three-phase voltage imbalance index of the user's electricity consumption, It represents the weight of the harmonic distortion rate index of the user's electricity consumption, and the value of E is 2.72.

[0010] Furthermore, the user power reliability index is calculated based on the power supply reliability information, which specifically includes the following process: Generate a management cycle and divide the management cycle into several management periods; Based on the power supply reliability information, the duration of power outage, the number of power outage users and the duration of power outage within the management period are obtained; Calculate the user power reliability rate LMS during the management period: ; in, is the total duration of the management period, is the number of users experiencing power outages during the management period, is the number of users experiencing power outages during the management period, is the power outage duration of each power outage event, The number of power outages during the management period; A rectangular coordinate system is established with the management period execution time as the horizontal axis and the user power reliability rate LMS as the vertical axis. A user power reliability rate curve is drawn in the rectangular coordinate system through the user power reliability rate LMS of the management period execution time. Two end points of the user power reliability rate curve are perpendicular to the horizontal axis to obtain two truncated line segments. A user power reliability rate curve graph is formed by the user power reliability rate curve, the two truncated line segments and the horizontal axis. The area value of the user power reliability rate curve graph is calculated, and the area value is marked as the user power reliability index of the management period.

[0011] Furthermore, the user power quality evaluation coefficient is calculated based on the user power quality index and the user power reliability index, and specifically includes the following process: Substitute the user power quality index and the user power reliability index into the correlation formula to calculate the user power quality assessment coefficient ZCS, which is as follows: ; in, User power quality index, The reliability index of electricity consumption for users is are weight coefficients, and their sizes are 0.6 and 0.4 respectively.

[0012] Furthermore, evaluating the user's power quality based on the user's power quality evaluation coefficient specifically includes the following process: Loading the first user's power quality assessment coefficient, determining whether the user's power quality assessment coefficient is greater than the first user's power quality assessment coefficient, if not, the user's power quality is excellent; Loading the second user's power quality assessment coefficient, determining whether the user's power quality assessment coefficient is greater than the first user's power quality assessment coefficient and less than the second user's power quality assessment coefficient, if so, the user's power quality is good; It is determined whether the user's power quality assessment coefficient is greater than the second user's power quality assessment coefficient. If so, the user's power quality is poor, wherein the second user's power quality assessment coefficient is greater than the first user's power quality assessment coefficient.

[0013] Compared with the existing solutions, the present invention achieves the following beneficial effects: The present invention determines the weight of each user's power quality indicator based on the user's power quality indicator, generates a user power quality index based on the user's power quality information, the weight of each user's power quality indicator and the user's power quality indicator, and calculates the user's power reliability index based on the power supply reliability information; calculates the user's power quality assessment coefficient based on the user's power quality index and the user's power reliability index, and assesses the user's power quality based on the user's power quality assessment coefficient, so as to establish a complete evaluation index, thereby comprehensively reflecting the power quality status of all users, and improving the assessment efficiency and the accuracy of the assessment results.

[0014] Real-time: The PMS system can collect and process users' electricity consumption data in real time to ensure the timeliness and accuracy of the evaluation results.

[0015] Comprehensiveness: This method covers multiple power quality indicators and can comprehensively reflect the power quality status of users.

[0016] Scalability: The PMS system has good scalability and can add new evaluation indicators and functions according to actual needs. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in the present invention. For ordinary technicians in this field, other drawings can also be obtained based on these drawings.

[0018] Figure 1This is a workflow diagram of a method for evaluating user power quality based on a PMS system according to an embodiment of the present invention; Figure 2 This is a workflow diagram of another method for evaluating user electricity quality based on a PMS system according to an embodiment of the present invention. DETAILED DESCRIPTION

[0019] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. 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.

[0020] In addition, the described features, structures or characteristics may be combined in one or more example embodiments in any suitable manner. In the following description, many specific details are provided to provide a full understanding of the example embodiments of the present disclosure. However, those skilled in the art will appreciate that the technical solutions of the present disclosure may be practiced while omitting one or more of the specific details, or other methods, components, steps, etc. may be adopted. In other cases, well-known structures, methods, implementations or operations are not shown or described in detail to avoid obscuring various aspects of the present disclosure.

[0021] This embodiment provides a method for evaluating the power quality of users based on the PMS system. Figure 1 : is a work flow chart of a method for evaluating user power quality based on a PMS system according to an embodiment of the present invention, such as Figure 1 As shown, the method comprises the following steps: Step S101: obtaining user power quality information based on the PMS system, wherein the user power quality information includes power quality information and power supply reliability information; Step S102: determining the weight of each user's power quality indicator based on the user's power quality indicator; Step S103: generating a user power quality index based on the user power quality information, the weight of each user power quality index and the user power quality index, and calculating a user power reliability index based on the power supply reliability information; Step S104: Calculate a user power quality assessment coefficient based on the user power quality index and the user power reliability index, and assess the user power quality based on the user power quality assessment coefficient.

[0022] In summary, the present invention determines the weight of each user's power quality indicator based on the user's power quality indicator, generates a user power quality index based on the user's power quality information, the weight of each user's power quality indicator and the user's power quality indicator, and calculates the user's power reliability index based on the power supply reliability information; calculates the user's power quality assessment coefficient based on the user's power quality index and the user's power reliability index, and assesses the user's power quality based on the user's power quality assessment coefficient, so as to establish a complete evaluation index, thereby comprehensively reflecting the power quality status of all users, and improving the assessment efficiency and the accuracy of the assessment results.

[0023] It is worth mentioning that the PMS system (Power Production Management System) plays a vital role in real-time collection and processing of users' electricity consumption data. Fast data preprocessing: The PMS system has a built-in efficient data preprocessing module that can quickly clean, filter and format the collected raw data. This includes operations such as removing outliers, filling missing data, and correcting data errors to ensure the accuracy and reliability of subsequent analysis.

[0024] The power production management system, or PMS, is designed for the power industry. It is based on advanced architecture and technology to comprehensively manage and optimize the power production process. It is based on equipment management and asset management, with the goal of improving the safe operation level of power transmission and transformation facilities and the reliability of power supply, and covers the entire process of production management business such as dispatching, transmission, and transformation of power companies at all levels.

[0025] In some embodiments, determining the weight of each user's power quality indicator based on the user's power quality indicator specifically includes the following process: Assuming that there are m pieces of user power quality information and n user power quality indicators, the matrix formed by forward processing of the user power quality indicator values ​​is: : ; Represents the measurement data of user power quality index j to which user power quality information i belongs; Calculate the information entropy of the jth user's power quality index : ; ; in, It represents the probability ratio of the index j to which the user power quality information i belongs to all the indexes corresponding to the user power quality information i; Calculate the entropy weight of the power quality index of the jth user for: ; in, is the information entropy of the power quality index of the g-th user.

[0026] Furthermore, the positive processing of the user's power quality index value specifically includes the following process: ; in, Indicates the minimum value of the measured data, Indicates the minimum value of the measured data.

[0027] In some embodiments, Figure 2 FIG. 1 is a flowchart of another method for evaluating user power quality based on a PMS system according to an embodiment of the present invention. Figure 2 As shown, generating a user power quality index based on user power quality information, the weight of each user power quality index and the user power quality index specifically includes the following process: Step S201: obtaining a voltage deviation of the user's electricity based on the user's electricity quality information, obtaining an endpoint value of a standard range of the voltage deviation of the user's electricity based on the user's electricity quality index, and calculating a ratio A of the voltage deviation to the endpoint value; Step S202: obtaining a voltage flicker pass rate of the user's electricity based on the user's electricity quality information, obtaining a voltage flicker pass rate threshold of the user's electricity based on the user's electricity quality index, and calculating a ratio B of the voltage flicker pass rate to the voltage flicker pass rate threshold; Step S203: obtaining the three-phase voltage imbalance C of the user's electricity based on the user's electricity quality information; Step S204: obtaining the harmonic distortion rate D of the user's electricity based on the user's electricity quality information; Step S205: Substitute the ratio A, the ratio B, the three-phase voltage unbalance C and the harmonic distortion rate D into the user power quality index calculation formula to calculate the user power quality index YDZ. The calculation formula is as follows: ; in, Indicates the weight of the voltage deviation index of the user's electricity consumption, Indicates the weight of the voltage flicker qualification rate index of the user's electricity consumption, Indicates the weight of the three-phase voltage imbalance index of the user's electricity consumption, It represents the weight of the harmonic distortion rate index of the user's electricity consumption, and the value of E is 2.72.

[0028] In some embodiments, calculating the user power reliability index based on the power supply reliability information specifically includes the following process: Generate a management cycle and divide the management cycle into several management periods; Based on the power supply reliability information, the duration of power outage, the number of power outage users and the duration of power outage within the management period are obtained; Calculate the user power reliability rate LMS during the management period: ; in, is the total duration of the management period, is the number of users experiencing power outages during the management period, is the number of users experiencing power outages during the management period, is the power outage duration of each power outage event, The number of power outages during the management period; A rectangular coordinate system is established with the management period execution time as the horizontal axis and the user power reliability rate LMS as the vertical axis. A user power reliability rate curve is drawn in the rectangular coordinate system through the user power reliability rate LMS of the management period execution time. Two end points of the user power reliability rate curve are perpendicular to the horizontal axis to obtain two truncated line segments. A user power reliability rate curve graph is formed by the user power reliability rate curve, the two truncated line segments and the horizontal axis. The area value of the user power reliability rate curve graph is calculated, and the area value is marked as the user power reliability index of the management period.

[0029] In some embodiments, calculating the user power quality assessment coefficient based on the user power quality index and the user power reliability index specifically includes the following process: Substitute the user power quality index and the user power reliability index into the correlation formula to calculate the user power quality assessment coefficient ZCS, which is as follows: ; in, User power quality index, The reliability index of electricity consumption for users is are weight coefficients, and their sizes are 0.6 and 0.4 respectively.

[0030] Furthermore, evaluating the user's power quality based on the user's power quality evaluation coefficient specifically includes the following process: Loading the first user's power quality assessment coefficient, determining whether the user's power quality assessment coefficient is greater than the first user's power quality assessment coefficient, if not, the user's power quality is excellent; Loading the second user's power quality assessment coefficient, determining whether the user's power quality assessment coefficient is greater than the first user's power quality assessment coefficient and less than the second user's power quality assessment coefficient, if so, the user's power quality is good; It is determined whether the user's power quality assessment coefficient is greater than the second user's power quality assessment coefficient. If so, the user's power quality is poor, wherein the second user's power quality assessment coefficient is greater than the first user's power quality assessment coefficient.

[0031] The above embodiments may be implemented in whole or in part by software, hardware, firmware or any other combination thereof. When implemented using software, the above embodiments may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions or computer programs. When the computer instructions or computer programs are loaded or executed on a computer, the process or function described in the embodiment of the present application is generated in whole or in part. The computer may be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions may be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, the computer instructions may be transmitted from one website, computer, server or data center to another website, computer, server or data center by wired (e.g., infrared, wireless, microwave, etc.) means. The computer-readable storage medium may be any available medium that a computer can access or a data storage device such as a server or data center that contains one or more available media sets. The available medium may be a magnetic medium (e.g., a floppy disk, a hard disk, a tape), an optical medium (e.g., a DVD), or a semiconductor medium. The semiconductor medium may be a solid-state hard disk.

[0032] Those of ordinary skill in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0033] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0034] In the several embodiments provided in the present application, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the units is only some logical function divisions. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0035] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0036] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

Claims

1. A method for evaluating user power quality based on a PMS system, characterized in that: Applied to PMS system, the methods include: Acquire user power quality information based on the PMS system, where the user power quality information includes power quality information and power supply reliability information; Determine the weight of each user's power quality indicator based on the user's power quality indicator, generate a user's power quality index based on the user's power quality information, the weight of each user's power quality indicator and the user's power quality indicator, and calculate the user's power reliability index based on the power supply reliability information; A user power quality assessment coefficient is calculated based on the user power quality index and the user power reliability index, and the user power quality is assessed based on the user power quality assessment coefficient.

2. According to a method for evaluating user power quality based on a PMS system according to claim 1, it is characterized in that: Determining the weight of each user's power quality index based on the user's power quality index specifically includes the following process: Assuming that there are m pieces of user power quality information and n user power quality indicators, the matrix formed by forward processing of the user power quality indicator values ​​is: : ； Represents the measurement data of user power quality index j to which user power quality information i belongs; Calculate the information entropy of the jth user's power quality index : ； ； in, It represents the probability ratio of the index j to which the user power quality information i belongs to all the indexes corresponding to the user power quality information i; Calculate the entropy weight of the power quality index of the jth user for: ； in, is the information entropy of the power quality index of the g-th user.

3. A method for evaluating user power quality based on a PMS system according to claim 2, characterized in that: The positive processing of the user's electricity quality index value is specific The process includes: ； in, Indicates the minimum value of the measured data, Indicates the minimum value of the measured data.

4. The method for evaluating user power quality based on a PMS system according to claim 1, characterized in that: The user power quality index is generated based on the user power quality information, the weight of each user power quality index and the user power quality index. The process includes: Based on the user's power quality information, obtain the voltage deviation of the user's power consumption, based on the user's power quality index, obtain the endpoint value of the standard range of the voltage deviation of the user's power consumption, and calculate the proportion A of the voltage deviation to the endpoint value; Based on the user's power quality information, a voltage flicker qualified rate of the user's power is obtained; based on the user's power quality index, a voltage flicker qualified rate threshold of the user's power is obtained; and a ratio B of the voltage flicker qualified rate to the voltage flicker qualified rate threshold is calculated; Obtain the three-phase voltage imbalance C of the user's electricity based on the user's electricity quality information; Obtaining the harmonic distortion rate D of the user's electricity based on the user's electricity quality information; Substitute the ratio A, ratio B, three-phase voltage unbalance C and harmonic distortion rate D into the user power quality index calculation formula to obtain the user power quality index YDZ, which is as follows: ； in, Indicates the weight of the voltage deviation index of the user's electricity consumption, Indicates the weight of the voltage flicker qualification rate index of the user's electricity consumption, Indicates the weight of the three-phase voltage imbalance index of the user's electricity consumption, It represents the weight of the harmonic distortion rate index of the user's electricity consumption, and the value of E is 2.

72.

5. The method for evaluating user power quality based on a PMS system according to claim 1, characterized in that: The user power reliability index is calculated based on the power supply reliability information. The process includes: Generate a management cycle and divide the management cycle into several management periods; Based on the power supply reliability information, the duration of power outage, the number of power outage users and the duration of power outage within the management period are obtained; Calculate the user power reliability rate LMS during the management period: ； in, is the total duration of the management period, is the number of users experiencing power outages during the management period, is the number of users experiencing power outages during the management period, is the power outage duration of each power outage event, The number of power outages during the management period; A rectangular coordinate system is established with the management period execution time as the horizontal axis and the user electricity reliability rate LMS as the vertical axis. A user electricity reliability rate curve is drawn in the rectangular coordinate system through the user electricity reliability rate LMS of the management period execution time. Two end points of the user electricity reliability rate curve are perpendicular to the horizontal axis to obtain two truncated line segments. A user electricity reliability rate curve graph is formed by the user electricity reliability rate curve, the two truncated line segments and the horizontal axis. The area value of the user electricity reliability rate curve graph is calculated, and the area value is marked as the user electricity reliability index of the management period.

6. The method for evaluating user power quality based on a PMS system according to claim 1, characterized in that: The user power quality evaluation coefficient is calculated based on the user power quality index and the user power reliability index. The process includes: Substitute the user power quality index and the user power reliability index into the correlation formula to calculate the user power quality assessment coefficient ZCS, which is as follows: ； in, User power quality index, The reliability index of electricity consumption for users is are weight coefficients, and their sizes are 0.6 and 0.4 respectively.

7. The method for evaluating user power quality based on a PMS system according to claim 1, characterized in that: The specific process of evaluating the user's electricity quality based on the user's electricity quality evaluation coefficient is as follows: Loading the first user's power quality assessment coefficient, determining whether the user's power quality assessment coefficient is greater than the first user's power quality assessment coefficient, if not, the user's power quality is excellent; Loading the second user's power quality assessment coefficient, determining whether the user's power quality assessment coefficient is greater than the first user's power quality assessment coefficient and less than the second user's power quality assessment coefficient, if so, the user's power quality is good; It is determined whether the user's power quality assessment coefficient is greater than the second user's power quality assessment coefficient. If so, the user's power quality is poor, wherein the second user's power quality assessment coefficient is greater than the first user's power quality assessment coefficient.

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