Evaluation method and system based on power grid side communication demand responsivity

Abstract

The invention relates to the technical field of communication management, and provides an evaluation method and system based on power grid side communication demand responsivity. The method comprises the following steps: collecting monitoring data related to user demand response evaluation and monitoring data related to communication detection evaluation at a power grid side; detecting and analyzing the communication condition of the power grid side so as to judge whether the communication condition meets the requirement or not, and generating a communication evaluation qualified signal or a communication evaluation unqualified signal; analyzing the communication recovery condition of the power grid side so as to generate a power grid side communication management abnormal signal or a power grid side communication management normal signal; the method comprises the following steps: obtaining classification information of all power users, obtaining a user response evaluation value through analysis, generating a user response evaluation qualified signal or a user response evaluation unqualified signal according to the user response evaluation value, performing signal display, and when a communication evaluation unqualified signal, a power grid side management abnormal signal or the user response evaluation unqualified signal is received, performing communication evaluation on the power grid side management abnormal signal or the user response evaluation unqualified signal. And sending out corresponding early warning.

Description

Technical Field

[0001] The present invention relates to the field of communication management technology, and in particular to an evaluation method and system based on grid-side communication demand responsiveness. Background Art

[0002] The statements in this section merely provide background information related to the present invention and do not necessarily constitute prior art.

[0003] With the development of society and the progress of science and technology, the scale of power systems continues to expand and the complexity continues to increase. In order to ensure the stable operation of power systems, it is necessary to effectively manage the communication needs on the power grid side. At present, the management of communication needs on the power grid side is mainly focused on the configuration and maintenance of hardware equipment. It is not only difficult to detect and judge the communication status on the power grid side, but also difficult to reasonably classify the relevant power users and accurately judge the user demand response status. There is a lack of effective evaluation of the responsiveness of communication needs, which cannot meet the actual operation needs of the power system. Summary of the invention

[0004] In order to solve the technical problems existing in the above-mentioned background technology, the present invention provides an evaluation method and system based on the responsiveness of communication demand on the power grid side. The present invention detects and analyzes the communication status on the power grid side, analyzes the communication recovery status on the power grid side, and generates a user response evaluation qualified signal or a user response evaluation unqualified signal based on the classification information of all power users through analysis. It can not only detect and judge the communication status on the power grid side, but also reasonably classify the relevant power users and accurately judge the user demand response status, thereby realizing an effective evaluation of the responsiveness of communication demand and helping to meet the actual operation requirements of the power system.

[0005] In order to achieve the above object, the present invention adopts the following technical solution:

[0006] A first aspect of the present invention provides an evaluation method based on grid-side communication demand responsiveness.

[0007] An evaluation method based on grid-side communication demand responsiveness includes grid-side communication detection evaluation:

[0008] Acquire communication volume data, communication delay data, and communication loss rate data;

[0009] Calculate the difference between the communication volume data and the median of the preset communication volume data range to obtain the communication volume deviation value; determine whether the communication volume deviation value exceeds the preset communication volume deviation threshold, if so, determine that the communication volume on the power grid side during the detection period is abnormal, and generate a communication evaluation failure signal; otherwise, determine that the communication volume on the power grid side during the detection period is normal; when determining that the communication volume on the power grid side during the detection period is normal, obtain the communication anomaly coefficient based on the communication delay data and the communication loss rate data; determine whether the communication anomaly coefficient exceeds the preset communication anomaly coefficient threshold, if so, generate a communication evaluation failure signal, otherwise, generate a communication evaluation pass signal; when generating the communication evaluation failure signal, record the generation time of the communication evaluation failure signal as the first time, and restore the power grid side to the communication state; The moment when the communication evaluation is qualified is recorded as the second moment, and the difference between the second moment and the first moment is recorded as the communication recovery time on the grid side; if the communication recovery time on the grid side exceeds the preset communication recovery time threshold on the grid side, it is an unqualified recovery process; the number of unqualified recovery processes per unit time is recorded as the unqualified recovery frequency, and the number of times the communication evaluation unqualified signal is generated is marked as the communication unqualified frequency, and the unqualified recovery value is obtained based on the ratio of the unqualified recovery frequency to the communication unqualified frequency; the grid side communication management value is obtained based on the unqualified recovery frequency and the unqualified recovery value; it is determined whether the grid side communication management value exceeds the preset grid side communication management threshold, and if so, a grid side management abnormal signal is generated, otherwise, a grid side management normal signal is generated.

[0010] Furthermore, the evaluation method further includes: user classification:

[0011] Obtain all single response intervals, successful response times and total number of requests of the corresponding power users;

[0012] All single response intervals of the corresponding power user are summed up and averaged to obtain an average response interval; if the single response interval does not exceed the preset single response interval threshold, it is a qualified response process; based on the ratio of the number of qualified response processes to the total number of response processes, a qualified response value is obtained; based on the qualified response value and the average response interval, a response time performance value is obtained; based on the ratio of the number of successful responses to the total number of requests, a response quality data is obtained; if both the response time performance value and the response quality data exceed the corresponding preset threshold, the corresponding power user is an excellent response user; if both the response time performance value and the response quality data do not exceed the corresponding preset threshold, the corresponding power user is an unqualified response user; otherwise, the preset weight coefficients are assigned to the response time performance value and the response quality data respectively to calculate the user response coefficient; if the user response coefficient exceeds the maximum value of the preset user response coefficient range, the corresponding power user is an excellent response user; if the user response coefficient is within the preset user response coefficient range, the corresponding power user is a good response user; if the user response coefficient does not exceed the minimum value of the preset user response coefficient range, the corresponding power user is an unqualified response user.

[0013] Furthermore, the evaluation method further includes: user demand response detection evaluation:

[0014] According to the number of excellent response users, the number of good response users and the number of unqualified response users, the user response evaluation value is calculated to determine whether the user response evaluation value exceeds the preset user response evaluation threshold. If so, a user response evaluation unqualified signal is generated; otherwise, a user response evaluation qualified signal is generated.

[0015] A second aspect of the present invention provides an evaluation system based on grid-side communication demand responsiveness.

[0016] An evaluation system based on grid-side communication demand responsiveness, comprising:

[0017] A power grid side data collection module, used to obtain communication volume data, communication delay data and communication loss rate data;

[0018] The power grid side communication detection and evaluation module is used to calculate the difference between the communication volume data and the median of the preset communication volume data range to obtain the communication volume deviation value; determine whether the communication volume deviation value exceeds the preset communication volume deviation threshold value, if so, determine that the communication volume on the power grid side during the detection period is abnormal, and generate a communication evaluation unqualified signal; otherwise, determine that the communication volume on the power grid side during the detection period is normal; when determining that the communication volume on the power grid side during the detection period is normal, obtain the communication anomaly coefficient based on the communication delay data and the communication loss rate data; determine whether the communication anomaly coefficient exceeds the preset communication anomaly coefficient threshold value, if so, generate a communication evaluation unqualified signal, otherwise, generate a communication evaluation qualified signal; when generating the communication evaluation unqualified signal, record the generation time of the communication evaluation unqualified signal as the first time, and The moment when the grid side recovers to the qualified state of communication evaluation is recorded as the second moment, and the difference between the second moment and the first moment is recorded as the grid side communication recovery time; if the grid side communication recovery time exceeds the preset grid side communication recovery time threshold, it is an unqualified recovery process; the number of unqualified recovery processes per unit time is recorded as the unqualified recovery frequency, and the number of times the communication evaluation unqualified signal is generated is marked as the communication unqualified frequency, and the unqualified recovery value is obtained based on the ratio of the unqualified recovery frequency to the communication unqualified frequency; the grid side communication management value is obtained based on the unqualified recovery frequency and the unqualified recovery value; it is judged whether the grid side communication management value exceeds the preset grid side communication management threshold, and if so, a grid side management abnormal signal is generated, otherwise, a grid side management normal signal is generated.

[0019] Furthermore, the evaluation system further comprises:

[0020] The grid-side data collection module is also used to obtain all single response intervals, successful response times and total request times of the corresponding power users;

[0021] The user classification module is used to sum up and average all single response intervals of the corresponding power users to obtain an average response interval; if the single response interval does not exceed the preset single response interval threshold, it is a qualified response process; based on the ratio of the number of qualified response processes to the total number of response processes, a qualified response value is obtained; based on the qualified response value and the average response interval, a response time performance value is obtained; based on the ratio of the number of successful responses to the total number of requests, a response quality data is obtained; if both the response time performance value and the response quality data exceed the corresponding preset threshold, the corresponding power user is an excellent response. response user; if both the response time performance value and the response quality data do not exceed the corresponding preset threshold value, the corresponding power user is an unqualified response user; otherwise, the response time performance value and the response quality data are respectively assigned preset weight coefficients to calculate the user response coefficient; if the user response coefficient exceeds the maximum value of the preset user response coefficient range, the corresponding power user is an excellent response user; if the user response coefficient is within the preset user response coefficient range, the corresponding power user is a good response user; if the user response coefficient does not exceed the minimum value of the preset user response coefficient range, the corresponding power user is an unqualified response user.

[0022] Furthermore, the evaluation system also includes: a user demand response detection and evaluation module, which is used to calculate the user response evaluation value according to the number of excellent response users, the number of good response users and the number of unqualified response users, and determine whether the user response evaluation value exceeds a preset user response evaluation threshold. If so, a user response evaluation unqualified signal is generated; otherwise, a user response evaluation qualified signal is generated.

[0023] Furthermore, the evaluation system also includes: a grid-side management terminal, which is used to display a communication evaluation qualified signal, a communication evaluation unqualified signal, a grid-side management abnormal signal, a grid-side management normal signal, a user response evaluation qualified signal, and a user response evaluation unqualified signal, and to issue a corresponding early warning when receiving a communication evaluation unqualified signal, a grid-side management abnormal signal, or a user response evaluation unqualified signal.

[0024] Furthermore, the evaluation system also includes: a server, which is communicatively connected to the grid-side data collection module, the grid-side communication detection and evaluation module, the user demand response detection and evaluation module and the grid-side management terminal.

[0025] A third aspect of the present invention provides a computer-readable storage medium.

[0026] A computer-readable storage medium stores a computer program, which, when executed by a processor, implements the steps in the evaluation method based on grid-side communication demand responsiveness as described in the first aspect above.

[0027] A fourth aspect of the present invention provides a computer device.

[0028] A computer device comprises a memory, a processor and a computer program stored in the memory and executable on the processor, wherein when the processor executes the program, the steps in the evaluation method based on the grid-side communication demand responsiveness as described in the first aspect above are implemented.

[0029] Compared with the prior art, the present invention has the following beneficial effects:

[0030] The present invention detects and analyzes the communication status on the power grid side, thereby determining whether the communication status meets the requirements, and generates a communication evaluation qualified signal or a communication evaluation unqualified signal, so that the management personnel can take corresponding processing measures in time, thereby quickly restoring the communication status and ensuring the communication quality on the power grid side; and analyzes the communication recovery status on the power grid side, thereby generating a power grid side communication management abnormality signal or a power grid side communication management normal signal, so that the management personnel can promptly strengthen the communication supervision on the power grid side and the training of corresponding maintenance personnel, thereby ensuring the communication recovery performance on the power grid side.

[0031] The present invention marks the corresponding power users as excellent response users, good response users or unqualified response users through user classification analysis, and the classification results of power users are reasonable and accurate. The present invention obtains the user response evaluation value based on the classification information of all power users and generates a user response evaluation qualified signal or a user response evaluation unqualified signal based on this, which can accurately judge the overall response status of user needs, thereby facilitating subsequent improvements and measures adjustments, reducing management difficulty, and realizing effective evaluation of communication demand responsiveness. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] The accompanying drawings in the specification, which constitute a part of the present invention, are used to provide a further understanding of the present invention. The exemplary embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute improper limitations on the present invention.

[0033] Figure 1 is a flow chart of an evaluation method based on grid-side communication demand responsiveness shown in the present invention;

[0034] Figure 2 It is a framework diagram of the evaluation system based on grid-side communication demand responsiveness shown in the present invention. DETAILED DESCRIPTION

[0035] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0036] It should be noted that the following detailed descriptions are all illustrative and intended to provide further explanation of the present invention. Unless otherwise specified, all technical and scientific terms used herein have the same meanings as those commonly understood by those skilled in the art to which the present invention belongs.

[0037] It should be noted that the terms used herein are only for describing specific embodiments and are not intended to limit exemplary embodiments according to the present invention. As used herein, unless the context clearly indicates otherwise, the singular form is also intended to include the plural form. In addition, it should be understood that when the terms "comprising" and / or "including" are used in this specification, it indicates the presence of features, steps, operations, devices, components and / or combinations thereof.

[0038] It should be noted that the flowcharts and block diagrams in the accompanying drawings illustrate the possible implementation architecture, functions and operations of the methods and systems according to various embodiments of the present disclosure. It should be noted that each box in the flowchart or block diagram can represent a module, a program segment, or a part of a code, and the module, program segment, or a part of a code may include one or more executable instructions for implementing the logical functions specified in each embodiment. It should also be noted that in some alternative implementations, the functions marked in the box can also occur in an order different from that marked in the accompanying drawings. For example, two boxes represented in succession can actually be executed substantially in parallel, or they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the flowchart and / or block diagram, and the combination of boxes in the flowchart and / or block diagram can be implemented using a dedicated hardware-based system that performs a specified function or operation, or can be implemented using a combination of dedicated hardware and computer instructions.

[0039] Embodiment 1

[0040] like Figure 1 As shown, this embodiment provides an evaluation method based on the responsiveness of communication demand on the grid side. This embodiment uses the method applied to the server as an example. It can be understood that the method can also be applied to terminals, and can also be applied to systems including terminals, servers, and implemented through the interaction between terminals and servers. The server can be an independent physical server, or a server cluster or distributed system composed of multiple physical servers, or a cloud server that provides basic cloud computing services such as cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network servers, cloud communications, middleware services, domain name services, security services CDN, and big data and artificial intelligence platforms. The terminal can be a smart phone, a tablet computer, a laptop computer, a desktop computer, a smart speaker, a smart watch, etc., but is not limited to this. The terminal and the server can be directly or indirectly connected via wired or wireless communication, which is not limited in this application. In this embodiment, the method includes the following steps:

[0041] Collect monitoring data related to user demand response evaluation on the power grid side and monitoring data related to communication detection evaluation, and pre-process the collected data, including data cleaning, outlier processing and data conversion;

[0042] Detect and analyze the communication status of the power grid side, thereby determining whether the communication status meets the requirements and generating a communication evaluation qualified signal or a communication evaluation unqualified signal; and analyze the communication recovery status of the power grid side, thereby generating a power grid side communication management abnormality signal or a power grid side communication management normal signal;

[0043] The classification information of all power users is obtained, and the user response evaluation value is obtained through analysis, based on which a user response evaluation qualified signal or a user response evaluation unqualified signal is generated and displayed, and when a communication evaluation unqualified signal, a grid-side management abnormality signal or a user response evaluation unqualified signal is received, a corresponding warning is issued.

[0044] In some embodiments, the classification information of all power users is obtained, and the user response evaluation value is obtained through analysis, and a user response evaluation qualified signal or a user response evaluation unqualified signal is generated based on the obtained classification information, and the method includes:

[0045] The classification information of all power users is obtained, and the number of excellent response users, good response users and unqualified response users are collected, and they are marked as YX1, YX2 and YX3 respectively; the formula YX=(ep2*YX2+ep3*YX3) / (ep1*YX1+0.837) (the formula is not the key content and does not affect the overall conception of the scheme. The purpose of setting the formula is to achieve the integration of relevant data to obtain a comprehensive analysis result, thereby facilitating a comprehensive and accurate judgment of relevant content) is used for analysis and calculation to obtain a user response evaluation value YX, wherein ep1, ep2 and ep3 are preset proportional coefficients, and ep3>ep2>ep1>0; the user response evaluation value YX is numerically compared with a preset user response evaluation threshold value. If the user response evaluation value YX exceeds the preset user response evaluation threshold value, a user response evaluation unqualified signal is generated; if the user response evaluation value YX does not exceed the preset user response evaluation threshold value, a user response evaluation qualified signal is generated.

[0046] In some embodiments, the classification criteria for excellent response users, good response users, or unqualified response users include:

[0047] Obtain all single response intervals of the corresponding power users, sum and calculate all single response intervals of the corresponding power users and take the average to obtain the average response interval; compare the single response interval with the preset single response interval threshold, if the single response interval does not exceed the preset single response interval threshold, mark the corresponding response process as a qualified response process; calculate the ratio of the number of qualified response processes to the total number of response processes to obtain a qualified response value, calculate the qualified response value and the average response interval to obtain a response performance value;

[0048] Specifically, the sound time performance value is calculated using the following formula:

[0049] XB=rg1*HX+rg2 / (XG+rg1)

[0050] Among them, XB represents the response time performance value, rg1 and rg2 are preset proportional coefficients, rg2>rg2>0; HX represents the qualified response value, and XG represents the average response interval duration; the larger the response time performance value XB is, the better the demand response performance of the corresponding power user is.

[0051] The number of successful responses and the total number of requests of the corresponding power user in the demand response process are obtained, and the ratio of the number of successful responses to the total number of requests is calculated to obtain the response quality data; the response time performance value and the response quality data are numerically compared with the preset response time performance threshold and the preset response quality data threshold respectively; if the response time performance value and the response quality data both exceed the corresponding preset threshold, the corresponding power user is marked as an excellent response user; if the response time performance value and the response quality data do not exceed the corresponding preset threshold, the corresponding power user is marked as an unqualified response user; normalized grade analysis is performed in other cases.

[0052] More specifically, the specific analysis process of normalized rank analysis is as follows:

[0053] Preset weight coefficients a1 and a2 are assigned to the response time performance value and response quality data of the corresponding power user respectively, the response time performance value and the response quality data are multiplied by the corresponding preset weight coefficients respectively, and the two sets of product values ​​are summed up to obtain the user response coefficient; the user response coefficient is numerically compared with the preset user response coefficient range, if the user response coefficient exceeds the maximum value of the preset user response coefficient range, the corresponding power user is marked as an excellent response user, if the user response coefficient is within the preset user response coefficient range, the corresponding power user is marked as a good response user; if the user response coefficient does not exceed the minimum value of the preset user response coefficient range, the corresponding power user is marked as an unqualified response user.

[0054] In some embodiments, the communication status of the power grid side is detected and analyzed to determine whether the communication status meets the requirements, and a communication evaluation qualified signal or a communication evaluation unqualified signal is generated. The method includes:

[0055] A detection period is set, and the communication volume data of the detection period on the power grid side is obtained. The difference between the communication volume data and the median of the preset communication volume data range is calculated to obtain a communication volume deviation value; the communication volume deviation value is numerically compared with the preset communication volume deviation threshold value. If the communication volume deviation value does not exceed the preset communication volume deviation threshold value, it is judged that the communication volume on the power grid side during the detection period is normal; otherwise, it is judged that the communication volume on the power grid side during the detection period is abnormal, and a communication evaluation failure signal is generated;

[0056] When it is judged that the communication volume on the power grid side during the detection period is normal, the communication delay data and the communication loss rate data of the power grid side detection period are collected, the communication delay data and the communication loss rate data are analyzed and calculated to obtain the communication abnormality coefficient, and the communication abnormality coefficient is numerically compared with the preset communication abnormality coefficient threshold; if the communication abnormality coefficient exceeds the preset communication abnormality coefficient threshold, a communication evaluation unqualified signal is generated; if the communication abnormality coefficient does not exceed the preset communication abnormality coefficient threshold, a communication evaluation qualified signal is generated.

[0057] Specifically, the communication anomaly coefficient is calculated using the following formula:

[0058] TY=fq1*TF+fq2*TS

[0059] Among them, TY represents the communication anomaly coefficient, fq1 and fq2 are preset weight coefficients, and the values ​​of fq1 and fq2 are both greater than zero; TF represents the communication delay data, and TS represents the communication loss rate data.

[0060] In some embodiments, the communication recovery status of the power grid side is analyzed to generate a power grid side communication management abnormality signal or a power grid side communication management normal signal, and the method includes:

[0061] When a communication evaluation failure signal is generated, the generation time of the communication evaluation failure signal is collected and marked as a first time, and the time when the power grid side recovers to a communication evaluation qualified state is collected and marked as a second time, and the interval between the second time and the first time is marked as the power grid side communication recovery time;

[0062] The communication recovery time on the grid side is numerically compared with the preset grid side communication recovery time threshold. If the communication recovery time on the grid side exceeds the preset grid side communication recovery time threshold, the corresponding recovery process is judged to be slow and marked as an unqualified recovery process; the number of unqualified recovery processes and the number of communication evaluation unqualified signals generated per unit time are collected and marked as unqualified recovery frequency and communication unqualified frequency respectively, and the ratio of the unqualified recovery frequency to the communication unqualified frequency is calculated to obtain an unqualified recovery value;

[0063] The unqualified recovery frequency and the unqualified recovery value are numerically calculated to obtain the grid-side communication management value, and the grid-side communication management value is numerically compared with the preset grid-side communication management threshold. If the grid-side communication management value exceeds the preset grid-side communication management threshold, a grid-side management abnormal signal is generated; if the grid-side communication management value does not exceed the preset grid-side communication management threshold, a grid-side management normal signal is generated.

[0064] Specifically, the grid-side communication management value is calculated using the following formula:

[0065] TG=fd1*FP+fd2*FZ

[0066] Among them, TG represents the communication management value on the grid side, fd1 and fd2 are preset weight coefficients, fd2>fd1>0; FP represents the unqualified recovery frequency, and FZ represents the unqualified recovery value; the numerical value of the grid-side communication management value TG is positively proportional to the unqualified recovery frequency FP and the unqualified recovery value FZ. The larger the numerical value of the grid-side communication management value TG, the worse the communication recovery performance is, and the more management needs to be strengthened.

[0067] Embodiment 2

[0068] like Figure 2 As shown, this embodiment provides an evaluation system based on grid-side communication demand responsiveness, including a server, a grid-side data collection module, a grid-side communication detection and evaluation module, a user demand response detection and evaluation module, and a grid-side management terminal. It should be noted that the server is communicatively connected with the grid-side data collection module, the grid-side communication detection and evaluation module, the user demand response detection and evaluation module, and the grid-side management terminal;

[0069] The grid-side data collection module collects monitoring data related to user demand response evaluation and communication detection evaluation on the grid side, preprocesses the collected data, including data cleaning, outlier processing and data conversion, and sends the preprocessed data to the server for storage; when the grid-side communication detection and evaluation module performs analysis, the server sends the monitoring data related to communication detection and evaluation to the grid-side communication detection module, and when the user demand response detection and evaluation module performs analysis, the server sends the monitoring data related to user demand response evaluation to the user demand response detection and evaluation module, to provide data support for the analysis process;

[0070] The grid-side communication detection and evaluation module detects and analyzes the communication status of the grid side to determine whether the communication status meets the requirements, and generates a communication evaluation qualified signal or a communication evaluation unqualified signal, and sends the communication evaluation unqualified signal to the grid-side management end via the server so that the management personnel can take corresponding processing measures in time to quickly restore the communication status and ensure the communication quality of the grid side; and analyzes the communication recovery status of the grid side to generate a grid-side communication management abnormal signal or a grid-side communication management normal signal, and sends the grid-side communication management abnormal signal to the grid-side management end via the server so that the management personnel can strengthen the grid-side communication supervision and the training of corresponding maintenance personnel in time to ensure the communication recovery performance of the grid side.

[0071] In some embodiments, the specific operation process of the grid-side communication detection and evaluation module is as follows:

[0072] A detection period is set, and the communication volume data of the detection period on the power grid side is obtained. The difference between the communication volume data and the median of the preset communication volume data range is calculated to obtain a communication volume deviation value; the larger the value of the communication volume deviation value, the more abnormal the communication volume data is; the communication volume deviation value is numerically compared with the preset communication volume deviation threshold value; if the communication volume deviation value does not exceed the preset communication volume deviation threshold value, it is judged that the communication volume on the power grid side during the detection period is normal; if the communication volume deviation value exceeds the preset communication volume deviation threshold value, it is judged that the communication volume on the power grid side during the detection period is abnormal and a communication evaluation failure signal is generated;

[0073] When judging that the communication volume on the grid side is normal during the detection period, the communication delay data and communication loss rate data of the detection period on the grid side are collected. It should be noted that communication delay has an important impact on the quality of network communication. Excessive delay will lead to poor communication and affect the normal use of users. The communication loss rate data refers to the proportion of lost communication data packets to the total data packets during network transmission. Communication loss is usually caused by network failure, equipment failure or other technical problems, which will have an adverse effect on the stability and reliability of communication.

[0074] The communication delay data TF and the communication loss rate data TS are analyzed and calculated by the formula TY=fq1*TF+fq2*TS to obtain the communication anomaly coefficient TY, wherein fq1 and fq2 are preset weight coefficients, and the values ​​of fq1 and fq2 are both greater than zero; and the numerical value of the communication anomaly coefficient TY is directly proportional to the communication delay data TF and the communication loss rate data TS. The larger the numerical value of the communication anomaly coefficient TY, the worse the communication condition on the power grid side during the detection period; the communication anomaly coefficient TY is numerically compared with the preset communication anomaly coefficient threshold; if the communication anomaly coefficient TY exceeds the preset communication anomaly coefficient threshold (the setting of the corresponding threshold is automatically set by the system or stored by personnel, and the threshold is mainly used to determine the relevant data, and there is no need to explain its relevant basis), it indicates that the communication condition on the power grid side during the detection period is poor, and a communication evaluation unqualified signal is generated; if the communication anomaly coefficient TY does not exceed the preset communication anomaly coefficient threshold, it indicates that the communication condition on the power grid side during the detection period is good, and a communication evaluation qualified signal is generated.

[0075] In some embodiments, when a communication evaluation failure signal is generated, the generation time of the communication evaluation failure signal is collected and marked as the first time, and the time when the power grid side recovers to the communication evaluation qualified state is collected and marked as the second time, and the interval between the second time and the first time is marked as the power grid side communication recovery time. It should be noted that the larger the value of the power grid side communication recovery time, the longer the interval of communication recovery and the lower the recovery efficiency;

[0076] The communication recovery time on the grid side is numerically compared with the preset grid side communication recovery time threshold. If the communication recovery time on the grid side exceeds the preset grid side communication recovery time threshold, the corresponding recovery process is judged to be slow and marked as an unqualified recovery process; the number of unqualified recovery processes and the number of communication evaluation unqualified signals generated per unit time are collected and marked as unqualified recovery frequency and communication unqualified frequency respectively, and the ratio of the unqualified recovery frequency to the communication unqualified frequency is calculated to obtain an unqualified recovery value;

[0077] The non-qualified recovery frequency FP and the non-qualified recovery value FZ are numerically calculated by the formula TG=fd1*FP+fd2*FZ to obtain the grid-side communication management value TG, wherein fd1 and fd2 are preset weight coefficients, and fd2>fd1>0; and the numerical value of the grid-side communication management value TG is positively proportional to the non-qualified recovery frequency FP and the non-qualified recovery value FZ. The larger the numerical value of the grid-side communication management value TG is, the worse the communication recovery performance is, and the more management needs to be strengthened;

[0078] The grid-side communication management value TG is numerically compared with the preset grid-side communication management threshold. If the grid-side communication management value TG exceeds the preset grid-side communication management threshold, indicating that the communication recovery performance is poor, a grid-side management abnormal signal is generated; if the grid-side communication management value TG does not exceed the preset grid-side communication management threshold, indicating that the communication recovery performance is good, a grid-side management normal signal is generated.

[0079] The user demand response detection and evaluation module is used to obtain the classification information of all power users, and obtain the user response evaluation value through analysis, and generate a user response evaluation qualified signal or a user response evaluation unqualified signal based on it. The user response evaluation unqualified signal is sent to the power grid management end through the server, which can accurately judge the overall response status of user demand, thereby facilitating subsequent improvements and measures adjustments and reducing management difficulty;

[0080] In some embodiments, the specific operation process of the user demand response detection and evaluation module is as follows:

[0081] The classification information of all power users is obtained, and the number of excellent response users, good response users and unqualified response users are collected, and they are marked as YX1, YX2 and YX3 respectively; the formula YX=(ep2*YX2+ep3*YX3) / (ep1*YX1+0.837) is used for analysis and calculation to obtain the user response evaluation value YX, wherein ep1, ep2 and ep3 are preset proportional coefficients, and ep3>ep2>ep1>0; it should be noted that the larger the value of the user response evaluation value YX is, the worse the overall demand response condition is, and the greater the difficulty of power user management is; the user response evaluation value YX is numerically compared with the preset user response evaluation threshold value, and if the user response evaluation value YX exceeds the preset user response evaluation threshold value, a user response evaluation unqualified signal is generated; if the user response evaluation value YX does not exceed the preset user response evaluation threshold value, a user response evaluation qualified signal is generated.

[0082] The grid-side management terminal is used for signal display, and issues corresponding warnings when receiving communication evaluation failure signals, grid-side management abnormality signals, or user response evaluation failure signals, so as to effectively remind grid-side management personnel, so that they can make corresponding improvement measures as needed in the future, reduce management difficulty, and have a high degree of intelligence.

[0083] Embodiment 3

[0084] This embodiment provides an evaluation system based on grid-side communication demand responsiveness.

[0085] like Figure 2As shown, the difference between this embodiment and the second embodiment is that the server is connected to the user classification module in communication, and the user classification module marks the corresponding power user as an excellent response user, a good response user or an unqualified response user through classification analysis. The classification result of the power user is reasonable and accurate, and the classification information of the corresponding power user is sent to the server for storage. When the user demand response detection and evaluation module performs analysis, the server sends the classification information of all relevant power users to the user demand response detection and evaluation module to provide data support for its analysis process:

[0086] Specifically, the user classification module is configured to: set a management cycle, obtain all single response intervals of the corresponding power users within the management cycle, it should be noted that the smaller the value of the single response interval, the faster the corresponding demand response process; sum and calculate all single response intervals of the corresponding power users and take the average to obtain an average response interval; compare the single response interval with a preset single response interval threshold, if the single response interval does not exceed the preset single response interval threshold, indicating that the response speed of the corresponding power user is relatively fast, then the corresponding response process is marked as a qualified response process;

[0087] The number of qualified response processes and the total number of response processes are calculated to obtain a qualified response value, and the qualified response value HX and the average response interval length XG are numerically calculated by the formula XB=rg1*HX+rg2 / (XG+rg1) to obtain the response time performance value XB; wherein rg1 and rg2 are preset proportional coefficients, rg2>rg2>0; and the value of the response time performance value XB is directly proportional to the qualified response value HX, and inversely proportional to the average response interval length XG; the larger the value of the response time performance value XB is, the better the demand response performance of the corresponding power user is;

[0088] The number of successful responses and the total number of requests of the corresponding power user in the demand response process are obtained, and the ratio of the number of successful responses to the total number of requests is calculated to obtain the response quality data; the response time performance value and the response quality data are numerically compared with the preset response time performance threshold and the preset response quality data threshold, respectively; if the response time performance and the response quality data both exceed the corresponding preset thresholds, indicating that the demand response performance of the corresponding power user is good, the corresponding power user is marked as an excellent response user; if the response time performance value and the response quality data do not exceed the corresponding preset thresholds, indicating that the demand response performance of the corresponding power user is poor, the corresponding power user is marked as an unqualified response user;

[0089] For the rest of the cases, normalized grade analysis is performed. The specific analysis process is as follows: assign preset weight coefficients a1 and a2 to the response time performance value and response quality data of the corresponding power user, respectively, multiply the response time performance value and response quality data by the corresponding preset weight coefficients, and sum the two sets of product values ​​to obtain the user response coefficient; wherein, the values ​​of a1 and a2 are both greater than zero, and the larger the value of the user response coefficient, the better the demand response performance of the corresponding power user, and the user response coefficient is numerically compared with the preset user response coefficient range;

[0090] If the user response coefficient exceeds the maximum value of the preset user response coefficient range, it indicates that the corresponding power user's demand response performance is good, and the corresponding power user will be marked as an excellent response user. If the user response coefficient is within the preset user response coefficient range, it indicates that the corresponding power user's demand response performance is average, and the corresponding power user will be marked as a good response user. If the user response coefficient does not exceed the minimum value of the preset user response coefficient range, it indicates that the corresponding power user's demand response performance is poor, and the corresponding power user will be marked as an unqualified response user.

[0091] The working principle of the present invention is as follows: when in use, the communication status of the power grid side is detected and analyzed by the power grid side communication detection and evaluation module, thereby judging whether the communication status meets the requirements, and generating a communication evaluation qualified signal or a communication evaluation unqualified signal, so that the management personnel can take corresponding treatment measures in time, thereby quickly recovering the communication status and ensuring the communication quality of the power grid side; and the communication recovery status of the power grid side is analyzed, thereby generating a power grid side communication management abnormal signal or a power grid side communication management normal signal, so that the management personnel can strengthen the communication supervision of the power grid side and the training of corresponding maintenance personnel in time, thereby ensuring the communication recovery performance of the power grid side; the user classification module marks the corresponding power user as an excellent response user, a good response user or an unqualified response user through classification analysis, and the classification result of the power user is reasonable and accurate. The server sends the classification information of all relevant power users to the user demand response detection and evaluation module. The user demand response detection and evaluation module obtains the user response evaluation value based on the classification information of all power users through analysis, thereby generating a user response evaluation qualified signal or a user response evaluation unqualified signal, and can accurately judge the overall response status of the user demand, thereby facilitating subsequent improvements and measures adjustment, reducing the management difficulty, and realizing effective evaluation of the communication demand responsiveness.

[0092] The above formulas are all dimensionless and numerical calculations. The formula is a formula obtained by collecting a large amount of data and performing software simulation to obtain the most recent real situation. The preset parameters in the formula are set by technicians in this field according to actual conditions. The preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to only specific implementation methods. Obviously, many modifications and changes can be made according to the contents of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that technicians in the relevant technical field can understand and use the present invention well. The present invention is only limited by the claims and their full scope and equivalents.

[0093] Embodiment 4

[0094] This embodiment provides a computer-readable storage medium having a computer program stored thereon. When the program is executed by a processor, the steps in the evaluation method based on the grid-side communication demand responsiveness as described in the first embodiment above are implemented.

[0095] Embodiment 5

[0096] This embodiment provides a computer device, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the program, the steps in the evaluation method based on the grid-side communication demand responsiveness as described in the above-mentioned embodiment 1 are implemented.

[0097] Those skilled in the art will appreciate that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of hardware embodiments, software embodiments, or embodiments combining software and hardware. Furthermore, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage and optical storage, etc.) containing computer-usable program code.

[0098] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0099] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0100] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0101] A person skilled in the art can understand that all or part of the processes in the above-mentioned embodiments can be implemented by instructing the relevant hardware through a computer program, and the program can be stored in a computer-readable storage medium, and when the program is executed, it can include the processes of the embodiments of the above-mentioned methods. The storage medium can be a disk, an optical disk, a read-only memory (ROM) or a random access memory (RAM), etc.

[0102] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A method for evaluating the responsiveness of grid-side communication demand, characterized in that: Including grid-side communication detection and evaluation: Acquire communication volume data, communication delay data, and communication loss rate data; Calculate the difference between the traffic volume data and the median of a preset traffic volume data range to obtain a traffic volume deviation value; Determine whether the communication volume deviation value exceeds a preset communication volume deviation threshold value. If so, determine that the communication volume on the power grid side during the detection period is abnormal, and generate a communication evaluation failure signal; otherwise, determine that the communication volume on the power grid side during the detection period is normal; When determining that the communication volume on the power grid side is normal during the detection period, a communication anomaly coefficient is obtained based on the communication delay data and the communication loss rate data; determining whether the communication anomaly coefficient exceeds a preset communication anomaly coefficient threshold, if so, generating a communication evaluation failure signal, otherwise generating a communication evaluation success signal; when generating the communication evaluation failure signal, recording the generation time of the communication evaluation failure signal as a first time, recording the time when the power grid side recovers to a communication evaluation success state as a second time, and recording the difference between the second time and the first time as the communication recovery time of the power grid side; If the grid-side communication recovery time exceeds the preset grid-side communication recovery time threshold, it is an unqualified recovery process; the number of unqualified recovery processes per unit time is recorded as the unqualified recovery frequency, and the number of times the communication evaluation unqualified signal is generated is marked as the communication unqualified frequency, and the unqualified recovery value is obtained based on the ratio of the unqualified recovery frequency to the communication unqualified frequency; the grid-side communication management value is obtained based on the unqualified recovery frequency and the unqualified recovery value; it is determined whether the grid-side communication management value exceeds the preset grid-side communication management threshold, and if so, a grid-side management abnormal signal is generated, otherwise, a grid-side management normal signal is generated.

2. The evaluation method based on grid-side communication demand responsiveness according to claim 1 is characterized in that: The evaluation method further includes: user classification: Obtain all single response intervals, successful response times and total number of requests of the corresponding power users; All single response intervals of the corresponding power user are summed up and averaged to obtain an average response interval; if the single response interval does not exceed the preset single response interval threshold, it is a qualified response process; based on the ratio of the number of qualified response processes to the total number of response processes, a qualified response value is obtained; based on the qualified response value and the average response interval, a response time performance value is obtained; based on the ratio of the number of successful responses to the total number of requests, a response quality data is obtained; if both the response time performance value and the response quality data exceed the corresponding preset threshold, the corresponding power user is an excellent response user; if both the response time performance value and the response quality data do not exceed the corresponding preset threshold, the corresponding power user is an unqualified response user; otherwise, the preset weight coefficients are assigned to the response time performance value and the response quality data respectively to calculate the user response coefficient; if the user response coefficient exceeds the maximum value of the preset user response coefficient range, the corresponding power user is an excellent response user; if the user response coefficient is within the preset user response coefficient range, the corresponding power user is a good response user; if the user response coefficient does not exceed the minimum value of the preset user response coefficient range, the corresponding power user is an unqualified response user.

3. The evaluation method based on grid-side communication demand responsiveness according to claim 2 is characterized in that: The evaluation method further includes: user demand response detection evaluation: According to the number of excellent response users, the number of good response users and the number of unqualified response users, the user response evaluation value is calculated to determine whether the user response evaluation value exceeds the preset user response evaluation threshold. If so, a user response evaluation unqualified signal is generated; otherwise, a user response evaluation qualified signal is generated.

4. An evaluation system based on grid-side communication demand responsiveness, characterized in that: include: A power grid side data collection module, used to obtain communication volume data, communication delay data and communication loss rate data; A power grid-side communication detection and evaluation module is used to calculate the difference between the communication volume data and the median of a preset communication volume data range to obtain a communication volume deviation value; Determine whether the communication volume deviation value exceeds a preset communication volume deviation threshold value. If so, determine that the communication volume on the power grid side during the detection period is abnormal, and generate a communication evaluation failure signal; otherwise, determine that the communication volume on the power grid side during the detection period is normal; When determining that the communication volume on the power grid side is normal during the detection period, a communication anomaly coefficient is obtained based on the communication delay data and the communication loss rate data; determining whether the communication anomaly coefficient exceeds a preset communication anomaly coefficient threshold, if so, generating a communication evaluation failure signal, otherwise generating a communication evaluation success signal; when generating the communication evaluation failure signal, recording the generation time of the communication evaluation failure signal as a first time, recording the time when the power grid side recovers to a communication evaluation success state as a second time, and recording the difference between the second time and the first time as the communication recovery time of the power grid side; If the grid-side communication recovery time exceeds the preset grid-side communication recovery time threshold, it is an unqualified recovery process; the number of unqualified recovery processes per unit time is recorded as the unqualified recovery frequency, and the number of times the communication evaluation unqualified signal is generated is marked as the communication unqualified frequency, and the unqualified recovery value is obtained based on the ratio of the unqualified recovery frequency to the communication unqualified frequency; the grid-side communication management value is obtained based on the unqualified recovery frequency and the unqualified recovery value; it is determined whether the grid-side communication management value exceeds the preset grid-side communication management threshold, and if so, a grid-side management abnormal signal is generated, otherwise, a grid-side management normal signal is generated.

5. The evaluation system based on grid-side communication demand responsiveness according to claim 4 is characterized in that: The evaluation system further comprises: The grid-side data collection module is also used to obtain all single response intervals, successful response times and total request times of the corresponding power users; The user classification module is used to sum up and average all single response intervals of the corresponding power users to obtain an average response interval; if the single response interval does not exceed the preset single response interval threshold, it is a qualified response process; based on the ratio of the number of qualified response processes to the total number of response processes, a qualified response value is obtained; based on the qualified response value and the average response interval, a response time performance value is obtained; based on the ratio of the number of successful responses to the total number of requests, a response quality data is obtained; if both the response time performance value and the response quality data exceed the corresponding preset threshold, the corresponding power user is an excellent response. response user; if both the response time performance value and the response quality data do not exceed the corresponding preset threshold value, the corresponding power user is an unqualified response user; otherwise, the response time performance value and the response quality data are respectively assigned preset weight coefficients to calculate the user response coefficient; if the user response coefficient exceeds the maximum value of the preset user response coefficient range, the corresponding power user is an excellent response user; if the user response coefficient is within the preset user response coefficient range, the corresponding power user is a good response user; if the user response coefficient does not exceed the minimum value of the preset user response coefficient range, the corresponding power user is an unqualified response user.

6. The evaluation system based on grid-side communication demand responsiveness according to claim 5, characterized in that: The evaluation system further comprises: The user demand response detection and evaluation module is used to calculate the user response evaluation value according to the number of excellent response users, the number of good response users and the number of unqualified response users, and to determine whether the user response evaluation value exceeds the preset user response evaluation threshold. If so, a user response evaluation unqualified signal is generated; otherwise, a user response evaluation qualified signal is generated.

7. The evaluation system based on grid-side communication demand responsiveness according to claim 6, characterized in that: The evaluation system also includes: a power grid side management terminal, which is used to display a communication evaluation qualified signal, a communication evaluation unqualified signal, a power grid side management abnormal signal, a power grid side management normal signal, a user response evaluation qualified signal and a user response evaluation unqualified signal, and to issue a corresponding early warning when receiving a communication evaluation unqualified signal, a power grid side management abnormal signal or a user response evaluation unqualified signal.

8. The evaluation system based on grid-side communication demand responsiveness according to claim 7, characterized in that: The evaluation system further includes: a server, which is communicatively connected to the grid-side data collection module, the grid-side communication detection and evaluation module, the user demand response detection and evaluation module, and the grid-side management terminal.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the steps in the evaluation method based on grid-side communication demand responsiveness as described in any one of claims 1 to 3 are implemented.

10. A computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the program, the steps in the evaluation method based on grid-side communication demand responsiveness as described in any one of claims 1-3 are implemented.

Images