CN116845867A - Method and device for obtaining accurate power outage number based on marketing and allocation data - Google Patents
Method and device for obtaining accurate power outage number based on marketing and allocation data Download PDFInfo
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
- H02J2203/10—Power transmission or distribution systems management focussing at grid-level, e.g. load flow analysis, node profile computation, meshed network optimisation, active network management or spinning reserve management
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Abstract
The application discloses a method and a device for obtaining accurate power outage number based on marketing and allocation data, and relates to the technical field of data analysis; the method comprises the steps of obtaining distribution transformer outage and power-up events, hplc outage and power-up events, fault finger judgment information, distribution transformer current information, scheduling accident signals and PMS power-off information, judging the validity of the power-off information, removing duplication, collecting power-off events, complementing line power-off users and obtaining the number of power-off users; the device comprises a power outage number acquisition module, a power outage user acquisition module and a power outage user acquisition module, wherein the power outage number acquisition module is used for acquiring distribution transformer power outage events, hplc power outage events, fault finger research judgment information, distribution transformer current information, scheduling accident signals and PMS power outage information, judging the validity of the power outage information, removing duplication and collecting power outage events, complementing line power outage users and acquiring the power outage number; the method and the device have the advantages that by judging the validity of the power outage information, removing the duplication and collecting the power outage event, the line power outage users are complemented, and the more accurate number of power outage users is obtained.
Description
Technical Field
The application relates to the technical field of data analysis, in particular to a method and a device for obtaining accurate power outage number based on marketing and distribution data.
Background
The current power failure event sources of reliability statistics mainly come from the power failure information of the 184 system, each power failure event needs to be confirmed in the reliability system manually, and the topology relation of each user is judged manually to complement the influence users of the power failure event. On the one hand, the process of manually confirming and complementing the influence on the user is time-consuming and labor-consuming, and the accuracy rate in the manual confirmation process is to be considered. And secondly, the power outage information only occupies a part of all power outage events, and only the power outage events in the power outage information are counted, so that a large amount of power outage events are lost. Thirdly, the power failure can be automatically judged to influence the user by utilizing the power failure event of the distribution transformer, but the power failure event of the distribution transformer has a large number of missing conditions, which can cause a large number of influence to the user to be missing, about 50%. The situation can lead to inaccurate calculation of the reliability index of the medium-voltage distribution network, and the guiding effect of the reliability index on actual work is affected.
Problems and considerations in the prior art:
how to solve the technical problem of inaccurate number of the obtained power failure users.
Disclosure of Invention
The application provides a method and a device for obtaining accurate power outage user numbers based on marketing and distribution adjustment data, and solves the technical problem that the obtained power outage user numbers are inaccurate.
In order to solve the technical problems, the technical scheme adopted by the application is as follows:
the method for obtaining the accurate power outage number based on the marketing and distribution regulation data comprises the following steps of obtaining distribution transformer power outage event, hplc power outage event, fault diagnosis information, distribution transformer current information, dispatching accident signals and PMS power outage information, judging the validity of the power outage information, removing the duplication, collecting the power outage event, complementing line power outage users and obtaining the power outage number.
The further technical proposal is that: the specific division includes the steps of,
s1, obtaining power failure information;
s2, judging the validity of the power failure information;
s201, aiming at a distribution transformer power-on event with power transmission time, regarding effective power-off information, namely a power-off event, of which the power-off event is more than 5 minutes, recording the power-off event as a user distribution transformer power-off event;
s202, aiming at a low-voltage user power-off event with power transmission time, and in a continuous period of 1h, the low-voltage user power-off event under the same medium-voltage user is more than 5, the medium-voltage user is configured as a power-on transformer, and is regarded as effective power-off information, namely a power-off event, and is recorded as a user hplc power-off event;
s203, regarding the medium voltage user to have power failure in both the step S201 and the step S202, and generating a power failure event of the medium voltage user;
s204, regarding a line with a line permanent short circuit signal, a switch deflection signal, a switch overcurrent or overvoltage signal and PMS power failure information, regarding the line as effective power failure information, namely a power failure event, and recording the effective power failure information as a line power failure event;
s3, removing the duplication and collecting power failure events;
s4, line power failure users are complemented.
The further technical proposal is that: the step S1 comprises the following steps: the power supply service command platform obtains power failure information from the PMS system, and obtains power failure time, power transmission time and line name of the line; the power supply service command platform obtains a switch deflection signal, a switch overcurrent or overvoltage signal and a belonging line name from the dispatching automation D5000 system; the power supply service command platform obtains distribution transformer outage power-on event information from a power utilization acquisition system, wherein the distribution transformer outage power-on event information comprises power outage time, power transmission time, a medium voltage user name and a belonged 10kV line name of a medium voltage user; the power supply service command platform obtains low-voltage user power-off event data from a power utilization acquisition system, wherein the low-voltage user power-off event data comprises low-voltage user power-off time, power transmission time, an affiliated medium-voltage user name and an affiliated 10kV line name; the power supply service command platform obtains a permanent short circuit, a permanent grounding signal and a circuit name of a circuit in the circuit power failure research and judgment information from the fault indicator system; the power supply service command platform obtains the line power failure responsibility reasons from the power failure event worksheet.
The further technical proposal is that: the step S3 comprises the following steps: s301, when a medium-voltage user fails to power the same source or different sources of medium-voltage user within 3 hours before a power failure event of the medium-voltage user fails and within 3 hours after power transmission, the medium-voltage user is gathered into the same power failure event, and a new power failure event is not repeatedly generated; the power failure time adopts the earliest power failure time, and the power transmission time adopts the latest power transmission time; the same source is a distribution transformer power failure event and a user hplc power failure event, and different sources are user hplc power failure events and distribution transformer power failure events; s302, when a medium voltage user generates a power failure event of the medium voltage user, generating a line power failure event of a signal source again within 3 hours before power failure and 3 hours after power transmission, wherein the line power failure event comprises a line permanent short circuit signal, a switch deflection signal, a switch overcurrent/overvoltage signal and PMS power failure information, and the line power failure event is collected into the same line power failure event without repeatedly generating a new power failure event; the power failure time adopts the earliest power failure time, and the power transmission time adopts the latest power transmission time.
The further technical proposal is that: the step S4 includes: s401, when two or more medium-voltage users generate power failure events for one line, medium-voltage users without user distribution power failure events or user hplc power failure events under the line in a power failure period are screened out according to a topological relation; s402, obtaining distribution transformer current and voltage values in the power utilization acquisition system for the screened users, judging whether power failure occurs or not, judging that the users do not have power failure event if the current value in the power failure period of the users is not 0, otherwise, judging that the users have power failure event, and judging that the power failure event occurs for the users, wherein the power failure time is based on the time of the power failure time of the line.
The further technical proposal is that: the method further comprises the following step after the step S4, and the step S5 is used for obtaining the reliability index of the medium-voltage distribution network.
The further technical proposal is that: the step S5 comprises the following steps: based on a power failure user, power failure time and power failure reason of a power failure event, the reliability index of the medium-voltage distribution network is calculated and obtained.
The device for obtaining the accurate power outage number based on the marketing and distribution modulation data comprises a power outage number obtaining module, wherein the power outage number obtaining module is used for obtaining distribution transformer power outage events, hplc power outage events, fault finger judgment information, distribution transformer current information, scheduling accident signals and PMS power outage information, judging the validity of the power outage information, removing the duplication and collecting the power outage events, complementing line power outage users and obtaining the power outage number.
The device for obtaining the accurate power outage number based on the marketing and allocation data comprises a memory, a processor and a computer program which is stored in the memory and can run on the processor, wherein the processor realizes corresponding steps in the method when executing the computer program.
The device for obtaining the accurate power outage number based on the marketing and distribution adjustment data comprises a computer readable storage medium, wherein the computer readable storage medium stores a computer program, and the computer program realizes corresponding steps in the method when being executed by a processor.
The beneficial effects of adopting above-mentioned technical scheme to produce lie in:
first, a method for obtaining accurate power outage number based on marketing and distribution dispatching data comprises the following steps of obtaining distribution transformer power outage event, hplc power outage event, fault finger judging information, distribution transformer current information, dispatching accident signals and PMS power outage information, judging the validity of the power outage information, removing the duplication and collecting the power outage event, complementing line power outage users and obtaining the power outage number. According to the technical scheme, through judging the validity of the power outage information, removing duplication and collecting power outage events, line power outage users are complemented, and more accurate power outage user numbers are obtained.
Second, a device for obtaining accurate power outage number based on marketing and distribution dispatching data comprises a power outage number obtaining module for obtaining distribution transformer power outage event, hplc power outage event, fault diagnosis information, distribution transformer current information, dispatching accident signals and PMS power outage information, judging power outage information validity, removing duplication and collecting power outage event, complementing line power outage users and obtaining power outage number. According to the technical scheme, the more accurate power failure number of users is obtained through the power failure number module.
See the description of the detailed description section.
Drawings
FIG. 1 is a flow chart of embodiment 1 of the present application;
FIG. 2 is a first dataflow diagram;
FIG. 3 is a second dataflow diagram;
FIG. 4 is a third dataflow diagram;
FIG. 5 is a fourth dataflow diagram;
FIG. 6 is a fifth dataflow diagram;
fig. 7 is a sixth dataflow diagram.
Detailed Description
The following description of the embodiments of the present application will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present application, but not all embodiments. The following description of at least one exemplary embodiment is merely exemplary in nature and is in no way intended to limit the application, its application, or uses. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present application, but the present application may be practiced in other ways other than those described herein, and persons skilled in the art will readily appreciate that the present application is not limited to the specific embodiments disclosed below.
Example 1:
as shown in fig. 1, the application discloses a method for obtaining accurate power outage number based on marketing and distribution adjustment data, which comprises the following steps:
s1, obtaining power failure information
The power supply service command platform obtains power failure information from the PMS system, and obtains power failure time, power transmission time and line name of the line;
the power supply service command platform obtains a switch deflection signal, a switch overcurrent or overvoltage signal and a belonging line name from the dispatching automation D5000 system;
the power supply service command platform obtains distribution transformer outage power-on event information from a power utilization acquisition system, wherein the distribution transformer outage power-on event information comprises power outage time, power transmission time, a medium voltage user name and a belonged 10kV line name of a medium voltage user;
the power supply service command platform obtains low-voltage user power-off event data from a power utilization acquisition system, wherein the low-voltage user power-off event data comprises low-voltage user power-off time, power transmission time, an affiliated medium-voltage user name and an affiliated 10kV line name;
the power supply service command platform obtains a permanent short circuit, a permanent grounding signal and a circuit name of a circuit in the circuit power failure research and judgment information from the fault indicator system;
the power supply service command platform obtains the line power failure responsibility reasons from the power failure event worksheet.
S2, judging validity of power failure information
The power failure information validity judging principle is as follows:
s201, regarding a distribution transformer power-on event with power transmission time, the power-off event is regarded as effective power-off information, namely a power-off event, which is more than 5 minutes, and is recorded as a user distribution transformer power-off event.
S202, aiming at a low-voltage user power-off event with power transmission time, and in a continuous period of 1h, the low-voltage user power-off event under the same medium-voltage user is larger than 5, the medium-voltage user is configured as a power-on transformer, and the power-on event is regarded as effective power-off information, namely a power-off event and is recorded as a user hplc power-off event.
Step 203, step 201 and step 202 both consider that the medium voltage user has a power outage, and a medium voltage user power outage event is generated.
S204 is considered to be valid outage information, i.e., a outage event, for a line having a line permanent short circuit signal, a switch displacement signal, a switch over-current or over-voltage signal, and PMS outage information, and is referred to as a line outage event.
S3, removing duplication and collecting power failure event
And removing and collecting the line and user power failure events. The principle is as follows:
s301, when a medium-voltage user fails to power the same source or different sources of medium-voltage user within 3 hours before a power failure event of the medium-voltage user fails and within 3 hours after power transmission, the medium-voltage user is gathered into the same power failure event, and a new power failure event is not repeatedly generated; the power failure time adopts the earliest power failure time, and the power transmission time adopts the latest power transmission time; the same source is the distribution transformer power failure event and the user hplc power failure event, and different sources are the user hplc power failure event and the distribution transformer power failure event.
S302, when a medium voltage user generates a medium voltage user power failure event, line power failure events of other signal sources are generated again within 3 hours before power failure and 3 hours after power transmission, wherein the line power failure events comprise line permanent short-circuit signals, switch deflection signals, switch overcurrent/overvoltage signals and PMS power failure information, are collected into the same line power failure event, and new power failure events are not repeatedly generated. The power failure time adopts the earliest power failure time, and the power transmission time adopts the latest power transmission time.
S4 complement line power failure user
And supplementing the line power failure user.
S401, when two or more medium-voltage users generate power failure events for one line, medium-voltage users which do not generate user distribution power failure events or user hplc power failure events under the line in the period are selected according to the topological relation.
S402, obtaining distribution transformer current and voltage values in the power utilization acquisition system for the screened users, judging whether power failure occurs or not, judging that the users do not have power failure event if the current value in the power failure period of the users is not 0, otherwise, judging that the users have power failure event, and judging that the power failure event occurs for the users, wherein the power failure time is based on the time of the power failure time of the line.
S5, obtaining the reliability index of the medium-voltage distribution network
And calculating the reliability index of the medium-voltage distribution network based on the recorded power outage users, power outage time and power outage reasons of the power outage event.
S501, accessing equipment file information in a PMS system and a reliability system from a data center station in an API mode, wherein the equipment file information comprises information of lines, distribution transformers, switches, topology and administrative region division.
S502, obtaining the responsibility reasons of the power failure event from the power supply service platform event worksheet.
And S503, calculating the reliability index according to a calculation formula of the reliability evaluation guideline of the medium-voltage distribution network.
Example 2:
embodiment 2 differs from embodiment 1 in that steps S1 to S4 are included.
The application discloses a method for obtaining accurate power failure user number based on marketing and allocation data, which comprises the following steps:
s1, obtaining power failure information;
s2, judging the validity of the power failure information;
s3, removing the duplication and collecting power failure events;
s4, line power failure users are complemented.
The same points are not described in detail.
The biggest technical contribution of the application is that accurate power outage number is obtained through steps S1 to S4.
Example 3:
the application discloses a device for obtaining accurate power outage number based on marketing and distribution data, which comprises a power outage number obtaining module for realizing the method steps of the embodiment 2.
The power outage number acquisition module is used for acquiring distribution transformer power outage events, hplc power outage events, fault finger judging information, distribution transformer current information, scheduling accident signals and PMS power outage information, judging the validity of the power outage information, removing duplication, collecting power outage events, complementing line power outage users and acquiring the power outage number.
Example 4:
the application discloses a device for obtaining accurate power outage number based on marketing and allocation data, which comprises a memory, a processor and a computer program stored in the memory and capable of running on the processor, wherein the memory and the processor form an electronic terminal, and the processor realizes the steps of the embodiment 2 when executing the computer program.
Example 5:
the present application discloses a computer-readable storage medium storing a computer program which, when executed by a processor, implements the steps of embodiment 2.
Compared with the above embodiment, the program modules may be hardware modules made by using the existing logic operation technology, so as to implement the corresponding logic operation steps, communication steps and control steps, and further implement the corresponding steps, where the logic operation unit is not described in detail in the prior art.
The research and development process comprises the following steps:
1. problems to be solved
The application aims to solve the technical problem that the reliability real-time statistical method of the medium-voltage distribution network is provided by utilizing the existing technical conditions on the premise of not increasing construction investment and technicians. By adding information sources such as distribution transformer outage and power-up event, hplc outage and power-up event, so-called research judgment information, distribution transformer current information, scheduling accident signals, PMS power failure information and the like and comprehensively research and judge the information, automatic collection, completion and duplicate removal of power failure users are realized, the time for manually confirming and completing the power failure users in reliability management work is greatly reduced, the power failure event acquisition rate is improved, and the reliability index calculation accuracy of the medium-voltage distribution network is improved.
2. Technical proposal
In order to solve the problems, the technical scheme is that real-time data of a plurality of systems are adjusted by utilizing camping, distribution and adjustment, power outage events are automatically recorded, and the power outage influences automatic collection, complementation and duplicate removal of users. The method comprises the following specific steps:
table 1: data sheet
As shown in table 1, the data used in the following calculation steps.
As shown in fig. 1, the method comprises the following steps:
s1, a reliability real-time statistics module is built in a power supply service command platform, power failure information of a PMS system is synchronized in real time in an OGG mode, and power failure time, power transmission time and line names of lines are obtained; and a switch deflection signal, a switch overcurrent or overvoltage signal and a belonging line name of the dispatching automation D5000 system are accessed through an API interface. The method comprises the steps of linking a hive library in data through an API interface, and obtaining power-on and power-off event information of a distribution transformer in a power acquisition system in a message queue mode, wherein the power-on and power-off event information comprises power-on time, power-on time and medium-voltage user names of medium-voltage users, namely transformers, of the medium-voltage users belonging to 10kV line names; and (3) linking a hive library in the data through an API interface, and obtaining low-voltage user power-off event data in a power consumption acquisition system in a message queue mode, wherein the low-voltage user power-off event data comprises power-on time, an belonged medium-voltage user name and an belonged 10kV line name of the low-voltage user. The fault indicator system pushes the permanent short circuit, the permanent grounding signal and the line name of the line in the line power failure research and judgment information to the reliability real-time statistics module in real time through an API interface; the line power failure responsibility reasons are obtained through a power failure event work order in the power supply service command platform.
As shown in fig. 2, the data membership is identified in the first dataflow graph.
S2, judging the validity of the power failure information as follows:
1) And aiming at the distribution transformer power-on event with power transmission time, regarding the power-off event as effective power-off information, namely a power-off event, wherein the power-off event is more than 5 minutes, and recording the power-off event as a user distribution transformer power-off event.
2) Aiming at the low-voltage user power-off event with power transmission time, and in the continuous 1h, the low-voltage user power-off event under the same medium-voltage user is larger than 5, the medium-voltage user is provided with a power distribution transformer, and is regarded as effective power outage information, namely a power outage event, and is recorded as a user hplc power outage event.
3) Both the above two conditions consider that a medium voltage user has a power failure, and a medium voltage user power failure event is generated.
4) The line with the line permanent short-circuit signal, the switch deflection signal, the switch overcurrent/overvoltage signal and the PMS power failure information is regarded as effective power failure information, namely a power failure event, and is recorded as a line power failure event.
S3, removing duplication and collecting the power failure events of the line and the user. The principle is as follows:
1) As shown in fig. 3, when a medium voltage user fails to power the same source or different sources of medium voltage user within 3 hours before a medium voltage user fails to power the power, and within 3 hours after power transmission, the medium voltage user is gathered into the same power failure event, and no new power failure event is repeatedly generated. The power failure time adopts the earliest power failure time, and the power transmission time adopts the latest power transmission time. The same source is the distribution transformer power failure event and the user hplc power failure event, and different sources are the user hplc power failure event and the distribution transformer power failure event.
2) As shown in fig. 4, when a medium voltage user has generated a power outage event of the medium voltage user, the power outage event of the line with other signal sources is generated again within 3 hours before the power outage and 3 hours after the power transmission, and the power outage event of the line includes a permanent short circuit signal of the line, a shift signal of the switch, an overcurrent/overvoltage signal of the switch and PMS power outage information, and is collected into the same power outage event of the line, and no new power outage event is repeatedly generated. The power failure time adopts the earliest power failure time, and the power transmission time adopts the latest power transmission time.
S4, supplementing the line power failure user.
1) As shown in fig. 5, when two or more medium-voltage users generate a power failure event for one line, medium-voltage users who do not generate a user power failure event or a user hplc power failure event under the line in the period are selected according to a topological relation.
2) And (3) linking the screened user with a hive library in the data through an API interface, obtaining the distribution current and voltage values in the power acquisition system through a message queue mode, judging whether power failure occurs or not, judging that the user does not have a power failure event if the current value in the power failure period of the user is not 0, otherwise, judging that the user has the power failure event, and judging that the power failure time of the power failure is based on the time of the power failure time of the line.
Examples: and 10 medium voltage users are arranged on the line, wherein 3 medium voltage users generate a medium voltage user power failure event, the rest 7 users are subjected to incoming line voltage and current combination, and if 1 incoming line current value in 7 users is not 0 and the rest 6 users are 0, the number of power failure users is considered to be 3+6=9.
S5, based on the recorded power outage users, the power outage time and the power outage reason of the power outage event, the reliability module calculates the reliability index of the medium-voltage distribution network.
1) As shown in fig. 6 and fig. 7, the reliability real-time statistics module accesses the PMS system from the data center station through an API method, and the equipment file information in the reliability system includes information such as line, configuration transformer, switch, topology, administrative area division, etc. Reliability systems, old, are different from reliability real-time statistics modules.
2) And acquiring the responsibility reasons of the power failure event from the power supply service platform event worksheet.
3) And calculating the reliability index according to a calculation formula of the reliability evaluation guide rule of the medium-voltage distribution network.
Power supply reliability:
and the power supply reliability is the ratio of the total number of hours of effective power supply time to the user in the counting period to the number of hours in the counting period.
Power supply reliability = (1-user average blackout time/statistical period time) ×100%
Number of units in power failure:
the number of users in power failure is an intermediate quantity for calculating the reliability index. For a single user, the number of times of power failure in a power failure event is the power failure time of the user in the power failure event. The number of users when the power supply system fails is the sum of the numbers of users when all users fail in the statistical period.
Number of units at power outage = Σnumber of users at power outage × power outage time
Average power outage duration:
the average power failure duration refers to the average power failure hours of a user in a statistical period, and is an index for reflecting the power failure time of the power supply system to the user.
Average outage duration = outage time number of households/equivalent number of users
Equivalent number of users:
the equivalent number of users is the number of users newly put into operation or newly withdrawn from the operation at a certain time, which is converted into the number of users in whole month or whole year.
Such as a new commissioning or new exiting user: equivalent user number of a certain month = number of days actually operated by a user in the month/calendar number of days in the month; another example is: when a new commissioned user registers in the reliability system for 6 months and 10 days, the equivalent user number of the user for 6 months is = (1-10/30) +.0.67 user.
The average duration of failure outage is the average repair duration of failure:
the average duration of failure power failure refers to the average power failure hours of failure power failure in a statistical period
Average duration of blackout = Σ (blackout time)/blackout times
The average power failure frequency of the user is that of the system:
the average power failure frequency of the user refers to the average power failure frequency of the power supply user in the statistical period, and is an index reflecting the power failure frequency of the power supply system to the user, and the calculation formula is as follows:
user average blackout times = Σ (user number per blackout)/total user number
Average failure and power failure times of users:
the average fault outage frequency of the user and the average prearranged outage frequency of the user respectively describe the fault outage frequency and the prearranged outage frequency, the average fault outage frequency of the user reflects the health condition of power grid equipment and the equipment maintenance level, and the average prearranged outage frequency of the user reflects the outage management level and the network structure.
User average failure power failure frequency = Σ (number of power failure per failure user)/total number of users
Average planned blackout times for the user:
user average planned blackout times = Σ (number of users per planned blackout)/total number of users
Power outage consistency ratio:
the total number of the events which are cut off and release the power cut information/the total number of the power cut events in the statistical time range
System failure power failure rate:
in the statistical period, the power supply system comprises the power failure times of the overhead line and the cable line every 100km line, and the high-voltage system does not calculate the index and is marked as RSFI (time/(100 km. Year)).
System line fault outage rate = system line fault outage number/system line (100 km year)
Note that: the system includes overhead lines and cabling.
Overhead line fault outage rate:
in the statistical period, the fault power failure times of every 100km of overhead line is recorded as ROFI [ times/(100 km. Year) ].
Overhead line failure rate = number of overhead line failures/overhead line (100 km year)
Power failure rate of cable line fault:
the number of times of power failure per 100km cable line fault during the statistical period is recorded as RCFI [ times/(100 km. Year) ].
Cable line fault power failure rate = cable line fault power failure times/cable line (100 km year)
Average power failure and power shortage of users:
the average power shortage amount of the users means the average power shortage amount of each user due to power outage during the statistical period, and is denoted AENS (kw·h/user). The index statistics is that the power quantity of the power supply system, which is little supplied to the user during the power failure, reflects the power failure loss condition of the user to a certain extent, and also reflects the power failure loss condition of a power supply enterprise. The calculation formula is as follows:
average power outage/shortage amount of users = Σ (power outage/shortage amount of power per time)/total number of users
That is, the power outage/lack amount of 0.33 is the amount of power that is rarely supplied to the user during the power outage of the power supply system, and the unit is kw·h. The power failure and power shortage formula is as follows: w=k (0.33) ×s1×t
Wherein: w refers to the power failure and power shortage quantity, and the unit is kW.h; s1 refers to power failure capacity, namely the sum of the assembly capacity of each user stopping power supply, and the unit is kVA; t is the duration of power failure, or equivalent power failure time, in h; k is a load-to-capacitance ratio coefficient, the value should be corrected at the beginning of each year according to the specific condition of the last year, the calculation formula is k=p/S, wherein p=the annual sales power (kWh)/the annual statistics hours (h), and the value is the annual average load of the same voltage level power supply system or a certain line, and the unit is kW; and S is the sum of the capacity of the same voltage class power supply system or the annual user equipment on a certain line, and the unit is kVA.
The average power failure and power shortage of users can be divided into prearranged average power failure and average power shortage of fault power failure according to the power failure responsibility.
Average length of time for repairing line power failure
Line outage repair average duration = Σ (line outage duration)/total outage line number
The conception of the application:
the current power failure event sources of reliability statistics mainly come from the power failure information of the 184 system, each power failure event needs to be confirmed in the reliability system manually, and the topology relation of each user is judged manually to complement the influence users of the power failure event. Firstly, the process of manually confirming and complementing the influence on the user is time-consuming and labor-consuming, and the accuracy rate in the manual confirmation process is to be considered. Secondly, the power outage information only occupies a part of all power outage events, and only the power outage events in the power outage information are counted, so that a large amount of power outage events are lost. Thirdly, the power failure can be automatically judged to influence the user by utilizing the power distribution and transformation power failure event, but the power distribution and transformation power failure event has a large number of missing conditions, and a large number of missing conditions, namely about 50%, are caused to influence the user. The situation can lead to inaccurate calculation of the reliability index of the medium-voltage distribution network, and the guiding effect of the reliability index on actual work is affected.
According to the application, on the premise of not increasing construction investment and technicians, by increasing information sources such as distribution transformer outage and power-up event, hplc outage and power-up event, so as to research and judge information, distribution transformer current information, dispatching accident signals, 184 power-off information and the like and comprehensively research and judge the information, automatic collection, completion and duplicate removal of power-off users are realized, the time for manually confirming and completing the power-off users in reliability management work is greatly reduced, the power-off event acquisition rate is improved, the reliability index calculation accuracy of a medium-voltage distribution network is improved, and a guiding means is provided for guiding distribution network operation and maintenance, overhaul work and distribution network planning according to the reliability index of the medium-voltage distribution network.
After the application runs for a period of time internally, the feedback of field technicians is beneficial in that:
the application relates to a 10kV, 6kV or 20kV medium voltage distribution network reliability real-time statistical method based on marketing and distribution data, in particular to power outage event statistics without issuing power outage information.
1. The reliability real-time statistics of the medium-voltage distribution network can be realized without newly adding monitoring equipment on the line, and the reliability statistics precision of the medium-voltage distribution network is greatly improved.
2. The time cost and the labor cost of manually completing the power failure user are saved.
3. The method improves the reliability calculation precision of the medium-voltage distribution network, and provides a guiding means for guiding the operation and maintenance of the distribution network, the overhaul work and the distribution network planning according to the reliability index of the medium-voltage distribution network.
At present, the technical scheme of the application has been subjected to pilot-scale test, namely, smaller-scale test of products before large-scale mass production; after the pilot test is completed, the use investigation of the user is performed in a small range, and the investigation result shows that the user satisfaction is higher; now, the preparation of the formal production of the product for industrialization (including intellectual property risk early warning investigation) is started.
Claims (10)
1. A method for obtaining accurate power failure number of users based on marketing and distribution adjustment data is characterized by comprising the following steps: the method comprises the following steps of obtaining distribution transformer power-off event, hplc power-off event, fault diagnosis information, distribution transformer current information, scheduling accident signals and PMS power-off information, judging the validity of the power-off information, removing duplication, collecting the power-off event, complementing line power-off users and obtaining the number of power-off users.
2. The method for obtaining accurate power outage number based on marketing and distribution data according to claim 1, wherein the method comprises the following steps: the specific division includes the steps of,
s1, obtaining power failure information;
s2, judging the validity of the power failure information;
s201, aiming at a distribution transformer power-on event with power transmission time, regarding effective power-off information, namely a power-off event, of which the power-off event is more than 5 minutes, recording the power-off event as a user distribution transformer power-off event;
s202, aiming at a low-voltage user power-off event with power transmission time, and in a continuous period of 1h, the low-voltage user power-off event under the same medium-voltage user is more than 5, the medium-voltage user is configured as a power-on transformer, and is regarded as effective power-off information, namely a power-off event, and is recorded as a user hplc power-off event;
s203, regarding the medium voltage user to have power failure in both the step S201 and the step S202, and generating a power failure event of the medium voltage user;
s204, regarding a line with a line permanent short circuit signal, a switch deflection signal, a switch overcurrent or overvoltage signal and PMS power failure information, regarding the line as effective power failure information, namely a power failure event, and recording the effective power failure information as a line power failure event;
s3, removing the duplication and collecting power failure events;
s4, line power failure users are complemented.
3. The method for obtaining accurate power outage number based on marketing and distribution data according to claim 2, wherein the method comprises the following steps: the step S1 comprises the following steps: the power supply service command platform obtains power failure information from the PMS system, and obtains power failure time, power transmission time and line name of the line; the power supply service command platform obtains a switch deflection signal, a switch overcurrent or overvoltage signal and a belonging line name from the dispatching automation D5000 system; the power supply service command platform obtains distribution transformer outage power-on event information from a power utilization acquisition system, wherein the distribution transformer outage power-on event information comprises power outage time, power transmission time, a medium voltage user name and a belonged 10kV line name of a medium voltage user; the power supply service command platform obtains low-voltage user power-off event data from a power utilization acquisition system, wherein the low-voltage user power-off event data comprises low-voltage user power-off time, power transmission time, an affiliated medium-voltage user name and an affiliated 10kV line name; the power supply service command platform obtains a permanent short circuit, a permanent grounding signal and a circuit name of a circuit in the circuit power failure research and judgment information from the fault indicator system; the power supply service command platform obtains the line power failure responsibility reasons from the power failure event worksheet.
4. The method for obtaining accurate power outage number based on marketing and distribution data according to claim 2, wherein the method comprises the following steps: the step S3 comprises the following steps: s301, when a medium-voltage user fails to power the same source or different sources of medium-voltage user within 3 hours before a power failure event of the medium-voltage user fails and within 3 hours after power transmission, the medium-voltage user is gathered into the same power failure event, and a new power failure event is not repeatedly generated; the power failure time adopts the earliest power failure time, and the power transmission time adopts the latest power transmission time; the same source is a distribution transformer power failure event and a user hplc power failure event, and different sources are user hplc power failure events and distribution transformer power failure events; s302, when a medium voltage user generates a power failure event of the medium voltage user, generating a line power failure event of a signal source again within 3 hours before power failure and 3 hours after power transmission, wherein the line power failure event comprises a line permanent short circuit signal, a switch deflection signal, a switch overcurrent/overvoltage signal and PMS power failure information, and the line power failure event is collected into the same line power failure event without repeatedly generating a new power failure event; the power failure time adopts the earliest power failure time, and the power transmission time adopts the latest power transmission time.
5. The method for obtaining accurate power outage number based on marketing and distribution data according to claim 2, wherein the method comprises the following steps: the step S4 includes: s401, when two or more medium-voltage users generate power failure events for one line, medium-voltage users without user distribution power failure events or user hplc power failure events under the line in a power failure period are screened out according to a topological relation; s402, obtaining distribution transformer current and voltage values in the power utilization acquisition system for the screened users, judging whether power failure occurs or not, judging that the users do not have power failure event if the current value in the power failure period of the users is not 0, otherwise, judging that the users have power failure event, and judging that the power failure event occurs for the users, wherein the power failure time is based on the time of the power failure time of the line.
6. The method for obtaining accurate power outage number based on marketing and distribution data according to claim 2, wherein the method comprises the following steps: the method further comprises the following step after the step S4, and the step S5 is used for obtaining the reliability index of the medium-voltage distribution network.
7. The method for obtaining accurate power outage numbers based on the marketing and distribution data according to claim 6, wherein the method comprises the following steps: the step S5 comprises the following steps: based on a power failure user, power failure time and power failure reason of a power failure event, the reliability index of the medium-voltage distribution network is calculated and obtained.
8. Device based on ying and joining in marriage and transfer data and obtain accurate power failure number of users, its characterized in that: the power outage system comprises a power outage number acquisition module, a power outage number acquisition module and a power outage number acquisition module, wherein the power outage number acquisition module is used for acquiring power outage event of a distribution transformer, power outage event of a hplc, fault finger research judgment information, power distribution current information, scheduling accident signals and PMS power outage information, judging the validity of the power outage information, removing duplication, collecting power outage events, completing line power outage users and acquiring the power outage number.
9. An apparatus for obtaining accurate power outage number based on marketing and distribution data, comprising a memory, a processor and a computer program stored in the memory and operable on the processor, characterized in that: the processor, when executing the computer program, carries out the respective steps of the method of any one of claims 1 to 7.
10. An apparatus for obtaining an accurate number of power outage based on marketing and distribution data, comprising a computer readable storage medium storing a computer program, characterized in that: which computer program, when being executed by a processor, carries out the respective steps of the method of any one of claims 1 to 7.
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