CN114358968A - Power supply reliability analysis method, device and system - Google Patents
Power supply reliability analysis method, device and system Download PDFInfo
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Abstract
The present application relates to a power supply reliability analysis method, a power supply reliability analysis device, a power supply reliability analysis system, a computer device, and a storage medium. The power supply reliability analysis method comprises the steps of obtaining power failure data; the power failure data comprises power failure attributes, power failure factor data and the number of households in power failure; classifying the number of the households in the power failure according to the power failure attribute and the power failure factor data to obtain power failure time indexes of all the attributes; and obtaining and displaying the reliability parameters according to the power failure time indexes of the attributes and the corresponding preset coefficients. The method can fuse the power failure data of multiple systems, and the reliability of the power supply system is analyzed from multiple dimensions of power failure attributes and power failure factors, so that the method plays an important role in improving the reliability of the power supply system from multiple dimensions.
Description
Technical Field
The present application relates to the field of power supply technologies, and in particular, to a method, an apparatus, and a system for analyzing power supply reliability.
Background
The power supply reliability system has positive effects on reducing the risk of the power grid and improving the lean management level. With the continuous improvement of customer service business, the requirement on a power supply reliability system is higher and higher. However, the power supply reliability system at the present stage is relatively weak in power supply reliability analysis capability, can only perform analysis on one aspect of the power supply system, and is not sufficient in visualization of an analysis result, so that the needs of customers cannot be met.
Disclosure of Invention
In view of the above, it is necessary to provide a power supply reliability analysis method, device and system for improving reliability analysis capability and visualization degree of a power supply system.
A power supply reliability analysis method comprises the following steps:
acquiring power failure data; the power failure data comprises power failure attributes, power failure factor data and the number of households in power failure;
classifying the number of the households in the power failure according to the power failure attribute and the power failure factor data to obtain power failure time indexes of all the attributes;
and obtaining and displaying the reliability parameters according to the power failure time indexes of the attributes and the corresponding preset coefficients.
In one embodiment, the outage attributes include outage feeder, user type, and outage area;
the method comprises the steps of classifying the number of the households in the power failure according to power failure attributes and power failure factor data to obtain power failure time indexes of the attributes, and comprises the following steps:
screening the number of households in power failure according to the power failure feeder line and the power failure factor data to obtain a feeder line power failure time index;
screening the number of the users in the power failure according to the user types and the power failure factor data to obtain a user power failure time index;
and screening the number of the households in the power failure according to the power failure area and the power failure factor data to obtain an area power failure time index.
In one embodiment, the outage factor data includes a fault factor; the power failure feeder line comprises a key feeder line with the power failure times larger than the preset times;
according to power failure feeder and power failure factor data, the number of households in power failure is screened, and a feeder power failure time index is obtained, wherein the method comprises the following steps:
screening the number of households in power failure according to the fault factors and the key feeder to obtain the number of households in power failure of the feeder;
acquiring the equivalent user number;
determining the quotient of the number of the users and the equivalent number of the users when the feeder line has power failure as the average power failure time of the feeder line;
and processing the annual total hours and the feeder line average power failure time to obtain a feeder line power failure time index.
In one embodiment, the outage factor data includes a pre-arrangement factor; the user type comprises key users with the power failure duration longer than the preset duration;
according to user type and power failure factor data to the house number of when having a power failure filter, obtain the step of user's power failure time index, include:
screening the number of the users in power failure according to prearranged factors and key users to obtain the number of the users in power failure;
acquiring the equivalent user number;
determining the quotient of the number of users and the equivalent number of users when the users have power failure as the average power failure time of the users;
and processing the total annual hours and the average user power failure time to obtain the user power failure time index.
In one embodiment, the outage factor data includes a prearranged factor and an emergency outage factor;
according to the regional and power failure factor data of having a power failure the number of households when having a power failure filters, obtain regional power failure time index's step, include:
screening the number of households in power failure according to the power failure area, the prearranged factors and the emergency shutdown factors to obtain the number of households in power failure in the area;
acquiring the equivalent number of households;
determining the quotient of the number of the regional households and the equivalent number of the regional households as the average power failure time of the region;
and processing the total annual hours and the average regional power failure time to obtain the regional user power failure time index.
In one embodiment, the outage factor data includes a milestone;
the method comprises the steps of classifying the number of the households in the power failure according to power failure attributes and power failure factor data to obtain power failure time indexes of the attributes, and comprises the following steps:
and filtering the number of the households in the power failure according to major event factors, and classifying the filtered number of the households in the power failure according to the power failure attribute to obtain the power failure time index of each attribute.
In one embodiment, the step of obtaining and displaying the reliability parameter according to the power outage time index of each attribute and the corresponding preset coefficient includes:
determining the product of the power failure time of each attribute and the corresponding preset coefficient as the total power failure time of each attribute;
and determining the sum of the total power failure time of each attribute as a reliability parameter and displaying the reliability parameter.
A power supply reliability analysis apparatus comprising:
the power failure data acquisition module is used for acquiring power failure data; the power failure data comprises power failure attributes, power failure factor data and the number of households in power failure;
the classification module is used for classifying the number of the households in the power failure according to the power failure attribute and the power failure factor data to obtain power failure time indexes of all the attributes;
and the reliability calculation module is used for obtaining and displaying the reliability parameters according to the power failure time indexes of the attributes and the corresponding preset coefficients.
A power supply reliability analysis system, comprising:
a processing module for implementing the steps of the method of claim;
and the monitoring display module is used for displaying the reliability parameters.
A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the steps of the above-mentioned method.
According to the power supply reliability analysis method, power failure data are obtained; the power failure data comprises power failure attributes, power failure factor data and the number of households in power failure; classifying the number of the households in the power failure according to the power failure attribute and the power failure factor data to obtain power failure time indexes of all the attributes; and obtaining and displaying the reliability parameters according to the power failure time indexes of the attributes and the corresponding preset coefficients. The method can fuse the power failure data of multiple systems, and the reliability of the power supply system is analyzed from multiple dimensions of power failure attributes and power failure factors, so that the method plays an important role in improving the reliability of the power supply system in all aspects.
Drawings
FIG. 1 is a schematic flow chart diagram of a method for analyzing power supply reliability in one embodiment;
FIG. 2 is a flowchart illustrating the steps of classifying the number of users in blackout according to blackout attributes and blackout factor data to obtain blackout time indicators of the attributes in one embodiment;
FIG. 3 is a flowchart illustrating the steps of screening the number of households in a blackout situation according to the blackout feeder and blackout factor data to obtain a feeder blackout time indicator in one embodiment;
FIG. 4 is a flowchart illustrating the steps of filtering the number of users in blackout according to the user type and blackout factor data to obtain a user blackout time indicator in one embodiment;
FIG. 5 is a flowchart illustrating the steps of screening the number of users in blackout according to blackout areas and blackout factor data to obtain an area blackout time index in one embodiment;
fig. 6 is a flowchart illustrating a step of obtaining and displaying a reliability parameter according to the power outage time index of each attribute and the corresponding preset coefficient in one embodiment.
Detailed Description
To facilitate an understanding of the present application, the present application will now be described more fully with reference to the accompanying drawings. Embodiments of the present application are set forth in the accompanying drawings. This application may, however, be embodied in many different forms and should not be construed as limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. The terminology used herein in the description of the present application is for the purpose of describing particular embodiments only and is not intended to be limiting of the application.
In one embodiment, as shown in fig. 1, there is provided a power supply reliability analysis method, including the steps of:
s110, acquiring power failure data; the power failure data comprises power failure attributes, power failure factor data and the number of households in power failure;
specifically, the blackout attribute refers to an object of reliability analysis of the power supply system, and includes a blackout feeder, a blackout user type, and a blackout area. The power failure factor refers to factors causing power failure events, and comprises a prearranged factor, a failure factor and a major event factor; the prearranged factors comprise a main network transformation construction factor, a main network overhaul factor, a distribution network transformation construction factor, a distribution network overhaul factor, a temporary power distribution factor and a planned power distribution factor; the fault factors comprise distribution network fault factors and main network fault factors; the distribution network fault factors comprise distribution network public equipment influence factors, external force damage factors, user fault influence factors and natural climate factors. The number of users in power failure refers to the power failure duration of each user. The power failure data can be acquired from the production system and the marketing system.
S120, classifying the number of the households in the power failure according to the power failure attribute and the power failure factor data to obtain power failure time indexes of all the attributes;
specifically, in order to improve the accuracy of the power supply reliability analysis, the reliability of the power supply system is analyzed from various aspects. When the power failure time of each power failure attribute is counted, the power failure factors causing the power failure events are discussed separately, and the influence of the prearranged factors and the fault factors on the reliability of the power supply system can be obtained more visually. When the reliability index of the power supply system is calculated, the power failure duration caused by major event factors is eliminated, so that the accuracy of reliability analysis is improved.
In a particular embodiment, the outage attributes include an outage feeder, the type of user that has been outage, and the area of the outage. Blackout factors include prearrangement factors, failure factors, and major event factors. And classifying the power failure attributes and the number of the households with power failure factors. For example, in a power failure feeder line, the number of households in power failure caused by power failure due to fault factors is screened to obtain a feeder line power failure time index; in the type of the users with power failure, the number of the users with power failure caused by pre-arrangement factors is screened to obtain the power failure time index of the users; in a power failure area, the number of households in power failure caused by prearranged factors and emergency shutdown factors is screened, and an area power failure time index is obtained. In addition, the number of households is also influenced by major event days during power failure, and the power failure time length of power failure caused by major event factors needs to be eliminated when the power supply reliability index is calculated.
And S130, obtaining and displaying the reliability parameters according to the power failure time indexes of the attributes and the corresponding preset coefficients.
Specifically, the preset coefficient is set according to the user requirement.
Optionally, the preset coefficient is a binary variable. In a specific embodiment, the blackout attributes include a blackout feeder, a blackout user type and a blackout area, and the corresponding preset coefficients are 0,0,1, 0 or 1,0, 0; and multiplying the power failure time indexes of all attributes by corresponding coefficients, adding and summing, and determining the final result as a reliability parameter. The analysis of the power supply reliability of different attributes is realized. The preset coefficient may also be set to 1,1, 1. In a specific embodiment, the power failure time indexes of each attribute are multiplied by corresponding coefficients, then are added and summed, and a quotient obtained by dividing a summed result by 3 is determined as the reliability parameter. The reliability analysis of the average power supply levels of different attributes is achieved, which is beneficial to providing the overall power supply quality.
According to the power supply reliability analysis method, power failure data are obtained; the power failure data comprises power failure attributes, power failure factor data and the number of households in power failure; classifying the number of the households in the power failure according to the power failure attribute and the power failure factor data to obtain power failure time indexes of all the attributes; and obtaining and displaying the reliability parameters according to the power failure time indexes of the attributes and the corresponding preset coefficients. The method can fuse the power failure data of multiple systems, and the reliability of the power supply system is analyzed from multiple dimensions of power failure attributes and power failure factors, so that the method plays an important role in improving the reliability of the power supply system in all aspects.
In one embodiment, outage attributes include outage feeder, user type, and outage area;
as shown in fig. 2, the step of classifying the number of users in the power outage according to the power outage attribute and the power outage factor data to obtain the power outage time index of each attribute includes:
s140, screening the number of households in power failure according to the power failure feeder line and the power failure factor data to obtain a feeder line power failure time index;
specifically, the blackout feeder refers to a feeder in which a blackout event occurs, and the feeder refers to a branch connected to any distribution network node in the power supply system, and may be a feed-in branch or a feed-out branch. Optionally, lutian F7 feeder, street-port F5 feeder, and good-port F6 feeder, etc. are included.
Specifically, the outage factors include a prearrangement factor, a failure factor, and a significant event factor. In the power failure feeder line, the number of households in power failure caused by power failure due to fault factors is screened to obtain a feeder line power failure time index; the number of households in power failure caused by power failure due to pre-arrangement factors can be screened to obtain the feeder line power failure time index.
S150, screening the number of the users in power failure according to the user types and the power failure factor data to obtain a power failure time index of the users;
in particular, the user type refers to a user supplying power, optionally classified according to the supply voltage, and the user type is classified into a low voltage user, a medium voltage user, and a high voltage user.
Specifically, the outage factors include a prearrangement factor, a failure factor, and a significant event factor. In the type of the power failure users, the number of the users in power failure caused by power failure due to pre-arrangement factors is screened to obtain the power failure time index of the users; the number of the users in the power failure caused by the power failure due to the fault factor can be screened to obtain the power failure time index of the users.
And S160, screening the number of the households in the power failure according to the power failure area and the power failure factor data to obtain an area power failure time index.
Specifically, the blackout area refers to an administrative area where a blackout event occurs, such as a subordinate district, an urban area, and a huangpu district.
Specifically, the outage factors include a prearrangement factor, a failure factor, and a significant event factor. In the power failure area, the number of the users in power failure caused by power failure due to pre-arrangement factors and failure factors is respectively screened to obtain the area power failure time index.
The method is characterized in that the power failure factors comprise major event factors, the number of the users in power failure is screened according to the power failure attributes and the power failure factors, and the number of the users in power failure caused by the major event factors needs to be removed when the power failure time index of the users is calculated.
In one embodiment, the outage factor data includes a fault factor; the power failure feeder line comprises a key feeder line with the power failure times larger than the preset times;
as shown in fig. 3, the step of screening the number of households in the power outage according to the power outage feeder and the power outage factor data to obtain the feeder power outage time index includes:
s170, screening the number of the households in power failure according to the fault factors and the key feeder to obtain the number of the households in power failure of the feeder;
specifically, the preset times are set according to actual conditions, and optionally, for a feeder line with frequent power failure caused by a fault factor, the preset times are set to be 100 times; for a feeder line with a low power failure frequency caused by a fault factor, the preset frequency is set to be 3. The fault factors comprise distribution network fault factors and main network fault factors; the distribution network fault factors comprise distribution network public equipment influence factors, external force damage factors, user fault influence factors and natural climate factors.
The number of households in the feeder line power failure is used for representing the number of households in the feeder line power failure, wherein the number of households in the feeder line power failure is greater than the preset number of times. The reliability of the power supply system is influenced by fault factors, and when the reliability of the power supply system is analyzed, the number of households with power failure feeders caused by the fault factors is analyzed, so that the improvement of feeder facilities is facilitated, repeated power failure is prevented, and the power supply reliability of each feeder is improved.
S180, acquiring the equivalent user number;
specifically, the equivalent user number is grouped according to the registration time and the logout time of the user. Specifically, if the registration time of the user ID is before the time node for analyzing the power supply reliability and the user ID is not logged out before the time node, the user ID is counted as a valid user.
S190, determining the quotient of the number of the users and the equivalent number of the users when the feeder line has power failure as the average power failure time of the feeder line;
and S200, processing the annual total hours and the feeder line average power failure time to obtain a feeder line power failure time index.
Specifically, the total number of years is the number of hours of the year, i.e., 8760 hours. Specifically, the feeder line power failure time index is obtained by dividing the average feeder line power failure time subtracted from the total annual number of hours by the total annual number of hours. The feeder line power failure time index is used for representing the influence of a feeder line with power failure times exceeding the preset times on the reliability of a power supply system, wherein the power failure events are caused by fault factors.
In one embodiment, the outage factor data includes a pre-arrangement factor; the user type comprises key users with the power failure duration longer than the preset duration;
as shown in fig. 4, the step of screening the number of users in the power outage according to the user type and the power outage factor data to obtain the power outage time index of the user includes:
s210, screening the number of the users in power failure according to prearranged factors and key users to obtain the number of the users in power failure;
specifically, the user types include high-voltage users, medium-voltage users, and low-voltage users; wherein, the high-voltage user refers to a user using high-voltage power supply, and is generally an industrial and mining enterprise; the medium-voltage user refers to a user using medium-voltage power supply, and is generally a resident user; the low-voltage user refers to a user using low-voltage power supply, and generally includes business, office, small industry and the like. The preset time period is set according to the user type and the requirement, and optionally, the preset time period can be set to be 24 hours for medium-voltage users. The prearranged factors comprise major network transformation construction factors, major network overhaul factors, distribution network transformation construction factors, distribution network overhaul factors, temporary power distribution factors and planned power distribution factors.
The number of the users in the power failure of the user is used for representing the number of the users in the power failure of the user, wherein the power failure time is caused by the prearranged factors, and the power failure time exceeds the preset time. The reliability of the power supply system is influenced by the prearranged factors, and when the reliability of the power supply system is analyzed, the number of the users in the power failure caused by the prearranged factors is analyzed, so that the influence of human factors on the power supply of various types of users can be reflected, the prearranged factors can be optimized, and the power utilization reliability of various types of users can be improved.
S220, acquiring the equivalent user number;
specifically, the equivalent user number is grouped according to the registration time and the logout time of the user. Specifically, if the registration time of the user ID is before the time node for analyzing the power supply reliability and the user ID is not logged out before the time node, the user ID is counted as a valid user.
S230, determining the quotient of the number of users and the equivalent number of users when the users have power failure as the average power failure time of the users;
and S240, processing the total annual hours and the average user power failure time to obtain the user power failure time index.
Specifically, the total number of years is the number of hours of the year, i.e., 8760 hours. Specifically, the average power outage time of the user is subtracted from the total annual hours, and then the average annual hours is divided by the total annual hours to obtain the power outage time index of the user. The user power failure time index is used for representing the influence of power failure events caused by the pre-arrangement factors and the power failure time exceeding the pre-arrangement time on the reliability of power utilization of various types of clients.
In one embodiment, the outage factor data includes a prearranged factor and an emergency outage factor;
as shown in fig. 5, the step of screening the number of users in blackout according to the blackout area and blackout factor data to obtain the area blackout time index includes:
s250, screening the number of the households in power failure according to the power failure area, the prearranged factors and the emergency shutdown factors to obtain the number of the households in power failure in the area;
specifically, the number of users in the area with power outage is used for representing the number of users in each area with power outage due to prearranged factors and emergency shutdown factors. In practical environments, the power supply reliability is determined by the power supply reliability of each area, and the power supply reliability of each area is often greatly influenced by prearranged factors and emergency shutdown factors. When the reliability of the power supply system is analyzed, the number of users in the areas with power failure caused by prearranged factors and emergency shutdown factors of each area needs to be analyzed, the influence of the factors and the emergency on the power supply reliability of each area is reflected, the power supply margin of each area is favorably improved, and the overall power supply reliability is improved.
S260, acquiring the equivalent number of users;
specifically, the equivalent user number is grouped according to the registration time and the logout time of the user. Specifically, if the registration time of the user ID is before the time node for analyzing the power supply reliability and the user ID is not logged out before the time node, the user ID is counted as a valid user.
S270, determining the quotient of the number of the regional users and the equivalent number of the regional users as the average power failure time of the region;
and S280, processing the total annual hours and the average regional power failure time to obtain the regional user power failure time index.
Specifically, the total number of years is the number of hours of the year, i.e., 8760 hours. Specifically, the area average blackout time is subtracted from the total annual hours, and then divided by the total annual hours to obtain the area blackout time index. The regional blackout time indicator is used for representing the influence of blackout events caused by prearranged factors or emergency shutdown factors on the reliability of power supply.
In one embodiment, the outage factor data includes a significant event factor;
the method comprises the steps of classifying the number of the households in the power failure according to power failure attributes and power failure factor data to obtain power failure time indexes of the attributes, and comprises the following steps:
and filtering the number of the households in the power failure according to major event factors, and classifying the filtered number of the households in the power failure according to the power failure attribute to obtain the power failure time index of each attribute.
Specifically, the number of the users in the power failure caused by the major event factor is filtered from the number of the users in the power failure, and then the filtered number of the users in the power failure is classified according to the power failure attribute to obtain the power failure time index of each attribute.
It is emphasized that the major events are not often the harmonious events of the power supply personnel, so that when the reliability parameters are calculated, the power failure caused by the major events is not considered, and the power failure is eliminated, so that the confidence of the power supply reliability conclusion can be improved, and the influence of the inequality analysis result is reduced.
In an embodiment, as shown in fig. 6, the step of obtaining and displaying the reliability parameter according to the power outage time index of each attribute and the corresponding preset coefficient includes:
s300, determining the product of the power failure time of each attribute and the corresponding preset coefficient as the total power failure time of each attribute;
and S310, determining the sum of the total power failure time of each attribute as a reliability parameter and displaying the reliability parameter.
Specifically, the preset coefficient is set according to the user requirement.
Optionally, the preset coefficient is a binary variable. In a specific embodiment, the blackout attributes include a blackout feeder, a blackout user type and a blackout area, and the corresponding preset coefficients are 0,0,1, 0 or 1,0, 0; and multiplying the power failure time indexes of all attributes by corresponding coefficients, adding and summing to obtain the total power failure time, and determining the total power failure time as a reliability parameter. The analysis of the power supply reliability of different attributes is realized. The preset coefficient may also be set to 1,1, 1. In a specific embodiment, the power outage time indexes of each attribute are multiplied by corresponding coefficients, then are added and summed to obtain the total power outage time, and the quotient obtained by dividing the total power outage time by 3 is determined as the reliability parameter. The reliability analysis of the average power supply levels of different attributes is achieved, which is beneficial to providing the overall power supply quality.
It should be understood that although the various steps in the flow charts of fig. 1-6 are shown in order as indicated by the arrows, the steps are not necessarily performed in order as indicated by the arrows. The steps are not performed in the exact order shown and described, and may be performed in other orders, unless explicitly stated otherwise. Moreover, at least some of the steps in fig. 1-6 may include multiple steps or multiple stages, which are not necessarily performed at the same time, but may be performed at different times, which are not necessarily performed in sequence, but may be performed in turn or alternately with other steps or at least some of the other steps.
In one embodiment, there is provided a power supply reliability analysis apparatus including:
the power failure data acquisition module is used for acquiring power failure data; the power failure data comprises power failure attributes, power failure factor data and the number of households in power failure;
the classification module is used for classifying the number of the households in the power failure according to the power failure attribute and the power failure factor data to obtain power failure time indexes of all the attributes;
and the reliability calculation module is used for obtaining and displaying the reliability parameters according to the power failure time indexes of the attributes and the corresponding preset coefficients.
In one embodiment, outage attributes include outage feeder, user type, and outage area; the classification module comprises:
the feeder line module is used for screening the number of households in power failure according to the power failure feeder line and the power failure factor data to obtain a feeder line power failure time index;
the user module is used for screening the number of users in power failure according to the user type and the power failure factor data to obtain a user power failure time index;
and the area module is used for screening the number of the households in the power failure according to the power failure area and the power failure factor data to obtain an area power failure time index.
In one embodiment, the outage factor data includes a fault factor; the power failure feeder line comprises a key feeder line with the power failure times larger than the preset times; the feeder module includes:
the feeder line power failure number acquisition module is used for screening the number of the households in power failure according to the fault factors and the key feeder lines to obtain the number of the households in power failure of the feeder lines;
the first user number acquisition module is used for acquiring the equivalent user number;
the feeder line average power failure time acquisition module is used for determining the quotient of the number of users and the number of equivalent users when the feeder line has power failure as the feeder line average power failure time;
and the feeder line index acquisition module is used for processing the annual total time and the average feeder line power failure time to obtain a feeder line power failure time index.
In one embodiment, the outage factor data includes a pre-arrangement factor; the user type comprises key users with the power failure duration longer than the preset duration; the user module includes:
the system comprises a user power failure number acquisition module, a power failure number acquisition module and a power failure number acquisition module, wherein the user power failure number acquisition module is used for screening the power failure number according to prearranged factors and key users to obtain the power failure number of the user;
the second user number acquisition module is used for acquiring the equivalent user number;
the user average time acquisition module is used for determining the quotient of the number of users and the equivalent number of users during power failure of the user as the user average power failure time;
and the user index acquisition module is used for processing the total annual hours and the average user power failure time to obtain the user power failure time index.
In one embodiment, the outage factor data includes a prearranged factor and an emergency outage factor; the region module includes:
the system comprises a regional blackout house number acquisition module, a regional blackout house number acquisition module and a regional blackout house number acquisition module, wherein the regional blackout house number acquisition module is used for screening the number of houses in the blackout house number according to a blackout region, a prearranged factor and an emergency shutdown factor to obtain the number of houses in the blackout house number of the regional;
the third user number acquisition module is used for acquiring equivalent user numbers;
the system comprises a regional average power failure time acquisition module, a regional average power failure time acquisition module and a regional average power failure time acquisition module, wherein the regional average power failure time acquisition module is used for determining the quotient of the number of regional households and the number of equivalent households as the regional average power failure time;
and the regional index module is used for processing the total annual hours and the regional average power failure time to obtain regional user power failure time index.
In one embodiment, the outage factor data includes a significant event factor; the classification module further comprises:
and the filtering module is used for filtering the number of the users in the power failure according to major event factors, and classifying the filtered number of the users in the power failure according to the power failure attribute to obtain the power failure time index of each attribute.
In one embodiment, the reliability calculation module includes:
the total power failure time calculation module is used for determining the product of the power failure time of each attribute and the corresponding preset coefficient as the total power failure time of each attribute;
and the display module is used for determining the sum of the total power failure time of each attribute as a reliability parameter and displaying the reliability parameter.
For specific limitations of the power supply reliability analysis device, reference may be made to the above limitations of the power supply reliability analysis method, which are not described herein again. The modules in the above power supply reliability analysis apparatus may be wholly or partially implemented by software, hardware, or a combination thereof. The modules can be embedded in a hardware form or independent from a processor in the computer device, and can also be stored in a memory in the computer device in a software form, so that the processor can call and execute operations corresponding to the modules.
In one embodiment, a power supply reliability analysis system is provided, including:
the processing module is used for realizing the steps in the method embodiments;
and the monitoring display module is used for displaying the reliability parameters.
In one embodiment, a computer device is provided having a processing module and a monitoring display module built therein. The computer device may be a terminal comprising a processor, a memory, a communication interface, a display screen and an input means connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The communication interface of the computer device is used for carrying out wired or wireless communication with an external terminal, and the wireless communication can be realized through WIFI, an operator network, NFC (near field communication) or other technologies. The computer program is executed by a processor to implement a power supply reliability analysis method. The display screen of the computer equipment can be a liquid crystal display screen or an electronic ink display screen and is used for displaying reliability parameters, and the input device of the computer equipment can be a touch layer covered on the display screen, a key, a track ball or a touch pad arranged on the shell of the computer equipment, an external keyboard, a touch pad or a mouse and the like.
In one embodiment, the power supply reliability analysis system further includes:
the login module is used for displaying a login interface; the login interface comprises a user name input entry, a password input entry and a login button;
the user information receiving module is used for receiving a user name input operation aiming at the user name input entry and receiving a password input operation aiming at the password input entry;
and the confirmation module is used for receiving the confirmation operation aiming at the login button and logging in the power supply reliability analysis system according to the confirmation operation, the user name input operation and the password input operation.
In an embodiment, a computer-readable storage medium is provided, having stored thereon a computer program, which when executed by a processor, carries out the steps of any of the above-mentioned method embodiments.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Any reference to memory, storage, database or other medium used in the embodiments provided herein can include at least one of non-volatile and volatile memory. Non-volatile Memory may include Read-Only Memory (ROM), magnetic tape, floppy disk, flash Memory, optical storage, or the like. Volatile Memory can include Random Access Memory (RAM) or external cache Memory. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM), among others.
The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (10)
1. A power supply reliability analysis method is characterized by comprising the following steps:
acquiring power failure data; the power failure data comprises power failure attributes, power failure factor data and the number of households in power failure;
classifying the number of the households in the power failure according to the power failure attributes and the power failure factor data to obtain power failure time indexes of all the attributes;
and obtaining and displaying a reliability parameter according to the power failure time index of each attribute and the corresponding preset coefficient.
2. The power supply reliability analysis method according to claim 1, wherein the outage attributes include an outage feeder, a user type, and an outage area;
the step of classifying the number of the households in the power failure according to the power failure attribute and the power failure factor data to obtain the power failure time index of each attribute comprises the following steps:
screening the number of the households in the power failure according to the power failure feeder line and the power failure factor data to obtain a feeder line power failure time index;
screening the number of the users in the power failure according to the user types and the power failure factor data to obtain a user power failure time index;
and screening the number of the households in the power failure according to the power failure area and the power failure factor data to obtain an area power failure time index.
3. The power supply reliability analysis method according to claim 2, wherein the outage factor data includes a fault factor; the power failure feeder line comprises a key feeder line with the power failure times larger than the preset times;
the step of screening the number of the households in the power failure according to the power failure feeder line and the power failure factor data to obtain a feeder line power failure time index comprises the following steps:
screening the number of the households in the power failure according to the fault factors and the key feeder to obtain the number of the households in the power failure of the feeder;
acquiring the equivalent user number;
determining the quotient of the number of the users when the feeder line has power failure and the equivalent number of the users as the average power failure time of the feeder line;
and processing the annual total hours and the average feeder line power failure time to obtain a feeder line power failure time index.
4. The method according to claim 2, wherein the outage factor data includes a pre-arrangement factor; the user type comprises key users with power failure duration longer than preset duration;
the step of screening the number of the users in the power failure according to the user type and the power failure factor data to obtain the power failure time index of the users comprises the following steps:
screening the number of the users in the power failure according to the prearranged factors and the key users to obtain the number of the users in the power failure;
acquiring the equivalent user number;
determining the quotient of the number of the users in the power failure of the users and the equivalent number of the users as the average power failure time of the users;
and processing the total annual hours and the average user power failure time to obtain a user power failure time index.
5. The method according to claim 2, wherein the outage factor data includes a prearranged factor and an emergency outage factor;
the step of screening the number of the households in the power failure according to the power failure area and the power failure factor data to obtain an area power failure time index comprises the following steps:
screening the number of the households in the power failure according to the power failure area, the prearranged factors and the emergency shutdown factors to obtain the number of the households in the power failure area;
acquiring the equivalent number of households;
determining the quotient of the number of the regional users and the equivalent number of the regional users as the average power failure time of the region;
and processing the total annual hours and the average regional power failure time to obtain the regional user power failure time index.
6. The method according to claim 1, wherein the outage factor data includes a major event factor;
the step of classifying the number of the households in the power failure according to the power failure attribute and the power failure factor data to obtain the power failure time index of each attribute comprises the following steps:
and filtering the number of the users in the power failure according to the major event factors, and classifying the filtered number of the users in the power failure according to the power failure attributes to obtain power failure time indexes of all the attributes.
7. The method for analyzing power supply reliability according to claim 1, wherein the step of obtaining and displaying the reliability parameter according to the blackout time index of each attribute and the corresponding preset coefficient comprises:
determining the product of the power failure time of each attribute and the corresponding preset coefficient as the total power failure time of each attribute;
and determining the sum of the total power failure time of each attribute as the reliability parameter and displaying the reliability parameter.
8. A power supply reliability analysis device, comprising:
the power failure data acquisition module is used for acquiring power failure data; the power failure data comprises power failure attributes, power failure factor data and the number of households in power failure;
the classification module is used for classifying the number of the households in the power failure according to the power failure attributes and the power failure factor data to obtain power failure time indexes of all the attributes;
and the reliability calculation module is used for obtaining and displaying reliability parameters according to the power failure time indexes of the attributes and the corresponding preset coefficients.
9. A power supply reliability analysis system, comprising:
a processing module for implementing the steps of the method of any one of claims 1 to 7;
and the monitoring display module is used for displaying the reliability parameters.
10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method according to any one of claims 1 to 7.
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