CN111553603A - Method and device for evaluating power supply reliability of low-voltage user and computer readable storage medium - Google Patents
Method and device for evaluating power supply reliability of low-voltage user and computer readable storage medium Download PDFInfo
- Publication number
- CN111553603A CN111553603A CN202010364800.7A CN202010364800A CN111553603A CN 111553603 A CN111553603 A CN 111553603A CN 202010364800 A CN202010364800 A CN 202010364800A CN 111553603 A CN111553603 A CN 111553603A
- Authority
- CN
- China
- Prior art keywords
- power failure
- user
- power
- power supply
- users
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 24
- 238000003860 storage Methods 0.000 title claims abstract description 12
- 238000004364 calculation method Methods 0.000 claims description 12
- 238000004590 computer program Methods 0.000 claims description 11
- 238000011156 evaluation Methods 0.000 claims description 9
- 238000009826 distribution Methods 0.000 abstract description 2
- 238000011161 development Methods 0.000 description 3
- 238000007726 management method Methods 0.000 description 3
- 230000009286 beneficial effect Effects 0.000 description 2
- 238000013500 data storage Methods 0.000 description 2
- 230000006870 function Effects 0.000 description 2
- 238000004519 manufacturing process Methods 0.000 description 2
- 238000004458 analytical method Methods 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 238000012423 maintenance Methods 0.000 description 1
- 230000008520 organization Effects 0.000 description 1
- 238000013439 planning Methods 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
- 239000007787 solid Substances 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/06—Energy or water supply
Landscapes
- Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- Engineering & Computer Science (AREA)
- Economics (AREA)
- Strategic Management (AREA)
- General Physics & Mathematics (AREA)
- Development Economics (AREA)
- Health & Medical Sciences (AREA)
- Educational Administration (AREA)
- Marketing (AREA)
- Entrepreneurship & Innovation (AREA)
- Theoretical Computer Science (AREA)
- Tourism & Hospitality (AREA)
- Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- Operations Research (AREA)
- Quality & Reliability (AREA)
- Game Theory and Decision Science (AREA)
- Public Health (AREA)
- Water Supply & Treatment (AREA)
- General Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- Supply And Distribution Of Alternating Current (AREA)
Abstract
The invention discloses a method and a device for evaluating the power supply reliability of a low-voltage user and a computer readable storage medium, wherein the method for evaluating the power supply reliability of the low-voltage user comprises the following steps: collecting power failure and restoration information of the intelligent electric meters in the statistical area to form a first power failure event set; calculating the power failure duration time of each power failure event according to the formed first power failure event set; removing non-effective power failure events from the first power failure event set to form a second power failure event set; calculating the total number of the households in the power supply reliability statistical area during power failure according to the second power failure event set and the power failure duration time; calculating the average power failure time of the users according to the total number of users and the total number of users in power failure; and calculating the power supply reliability in the statistical area according to the average power failure time of the user. The method can be combined with the user power failure data collected by the intelligent ammeter to evaluate the power supply reliability of the low-voltage users, and provides statistical technology and theoretical support for extending the power supply reliability of the power distribution network to the low-voltage users.
Description
Technical Field
The invention belongs to the technical field of power systems, and particularly relates to a method and a device for evaluating power supply reliability of a low-voltage user and a computer-readable storage medium.
Background
In recent years, with the rapid development of national economy, urban power load is rapidly increased, the contradiction between supply and demand is increasingly prominent, and the position of power supply reliability in production management and customer service work is more important. The power supply reliability is one of the main indexes reflecting the power supply capacity and the power supply quality of the power system, and is the comprehensive reflection of the planning, design, production, operation and maintenance, power supply service and other aspects of the power system. At present, China does a lot of work on the aspect of power supply reliability of medium-voltage and high-voltage users in statistics, but with the continuous development of social economy, a new round of power system reform and the implementation of one-user-one-meter engineering are carried out, and the number of low-voltage users which are directly managed by power supply enterprises and directly undertake power supply responsibility is rapidly increased. The extension of the statistics, evaluation, analysis and management of the reliability indexes of the power supply enterprises from medium and high voltage to low voltage users is the inevitable development requirement of the power supply enterprises, and is the necessary way for improving the power supply quality of the users and gradually realizing international rail connection. In 2016, the related units of the China Power Enterprise Association organization establish a power supply reliability evaluation index system covering high, medium and low voltage users on the basis of considering the rail connection requirement with the international traffic standard IEEE-1366 and the actual situation of China, form a power supply system power supply reliability evaluation regulation (DL/T836 and 2016) of the national power industry standard, fill the blank in the aspects of power supply reliability evaluation and industry standard of the low voltage users of China, and provide a foundation for the statistical management work of the low voltage power supply reliability.
In practical application, a low-voltage user power supply reliability assessment method with strong operability and popularization is not formed.
Disclosure of Invention
The technical problem to be solved by the embodiments of the present invention is to provide a method and an apparatus for evaluating power supply reliability of a low-voltage user, and a computer-readable storage medium, which provide statistical techniques and theoretical support for extending power supply reliability of a power distribution network to the low-voltage user.
In order to solve the technical problem, the invention provides a method for evaluating the power supply reliability of a low-voltage user, which comprises the following steps:
step S1, collecting power failure and restoration information of the intelligent electric meters in the statistical area to form a first power failure event set;
step S2, calculating the power failure duration of each power failure event according to the formed first power failure event set;
step S3, removing non-effective power failure events from the first power failure event set to form a second power failure event set;
step S4, calculating the total number of users in power failure in the power supply reliability statistical area according to the second power failure event set and the power failure duration;
step S5, calculating the average power failure time of the user according to the total number of users and the total number of users in power failure;
and step S6, calculating the power supply reliability in the statistical area according to the average power failure time of the user.
Further, step S1 is to collect the power outage and restoration information of the electric meter, to form a first power outage event set, which specifically includes: and collecting user power failure and power restoration data in the intelligent electric meter in the statistical area, and matching the collected power failure and power restoration data each time with user information of the marketing system to form a first power failure event set consisting of a plurality of power failure events comprising the user information, the user power failure starting time and the user power restoration time.
Further, smart electric meter includes three-phase smart electric meter and single-phase smart electric meter, and the user stops the electric data of answering a telegram and includes in the smart electric meter:
three-phase smart electric meter user power failure start time: when the power supply voltage is lower than 60% of rated voltage, the three-phase load current is not more than 5% of rated current, and the duration is more than 60 s;
the user power restoration time of the three-phase intelligent electric meter is as follows: when the power supply voltage is greater than 80% of rated voltage and the duration is greater than 60 s;
single-phase smart electric meter user power failure start time: when the power supply voltage is lower than 60% of the rated voltage and the duration is longer than 60 s;
user power restoration time of the single-phase intelligent electric meter: and when the power supply voltage is greater than 80% of the rated voltage and the duration is greater than 60 s.
Further, in step S2, the power outage duration of each power outage event is calculated from the formed first power outage event set by:
the duration of the power outage of the user at event i is the power restoration time of the user at event i — the power outage start time of the user at event i, where i is 1,2, …, m, unit: and s and m are the total number of the power failure events in the first power failure event set.
Further, the non-significant blackout event removed in step S3 is the number of blackout events whose user blackout duration is less than 180S, and the non-significant blackout event n is removed from the first blackout event set to form a new second blackout event set, where the total number of blackout events is m-n and n ∑ (user blackout duration < 180).
Further, step S4 is specifically to calculate the total number of users in power outage in the power supply reliability statistical area according to the following formula:
Further, in step S5, the average power outage time of the users in the area statistics period is calculated by the following formula according to the total number of users and the total number of users in the power outage period:
average power failure time of user is total number of users/total number of users c when having a power failure, unit: h.
further, the step S6 is specifically to calculate the power supply reliability in the power supply reliability statistical region statistical period by using the following formula:
power supply reliability is equal to the average power failure time of a user/statistical period time t multiplied by 100, unit: % of the total weight of the composition.
The invention also provides a device for evaluating the power supply reliability of the low-voltage user, which comprises:
the first forming module is used for collecting power failure and restoration information of the intelligent electric meters in the statistical area to form a first power failure event set;
the first calculation module is used for calculating the power failure duration time of each power failure event according to the formed first power failure event set;
the second forming module is used for removing non-effective power failure events from the first power failure event set to form a second power failure event set;
the second calculation module is used for calculating the number of total power failure users in the power supply reliability statistical area according to the second power failure event set and the power failure duration;
the third calculation module is used for calculating the average power failure time of the users according to the total number of users and the total number of users in power failure;
and the fourth calculation module is used for calculating the power supply reliability in the statistical area according to the average power failure time of the user.
The present invention also provides a computer readable storage medium comprising a stored computer program; and when running, the computer program controls the equipment where the computer readable storage medium is located to execute the low-voltage user power supply reliability evaluation method.
The embodiment of the invention has the following beneficial effects: on the basis of the standard of the national power industry standard power supply system power supply reliability evaluation regulation (DL/T836-.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a schematic flow chart of a method for evaluating power supply reliability of a low-voltage user according to an embodiment of the present invention.
Detailed Description
The following description of the embodiments refers to the accompanying drawings, which are included to illustrate specific embodiments in which the invention may be practiced.
Referring to fig. 1, an embodiment of the present invention provides a method for evaluating reliability of power supply for a low-voltage user, including:
step S1, collecting power failure and restoration information of the intelligent electric meters in the statistical area to form a first power failure event set;
step S2, calculating the power failure duration of each power failure event according to the formed first power failure event set;
step S3, removing non-effective power failure events from the first power failure event set to form a second power failure event set;
step S4, calculating the total number of users in power failure in the power supply reliability statistical area according to the second power failure event set and the power failure duration;
step S5, calculating the average power failure time of the user according to the total number of users and the total number of users in power failure;
and step S6, calculating the power supply reliability in the statistical area according to the average power failure time of the user.
Specifically, step S1 collects the power outage and restoration information of the electric meter, and forms a first power outage event set, which specifically includes: and collecting user power failure and power restoration data in the intelligent electric meter in the statistical area, and matching the collected power failure and power restoration data each time with user information of the marketing system to form a first power failure event set consisting of a plurality of power failure events comprising the user information, the user power failure starting time and the user power restoration time.
The intelligent electric meter comprises a three-phase intelligent electric meter and a single-phase intelligent electric meter.
Three-phase smart electric meter user power failure start time: and when the power supply voltage is lower than 60% of rated voltage, the three-phase load current is not more than 5% of rated (basic) current, and the duration is more than 60 s.
The user power restoration time of the three-phase intelligent electric meter is as follows: and when the power supply voltage is greater than 80% of the rated voltage and the duration is greater than 60 s.
Single-phase smart electric meter user power failure start time: when the supply voltage is lower than 60% of the rated voltage and the duration is longer than 60 s.
User power restoration time of the single-phase intelligent electric meter: and when the power supply voltage is greater than 80% of the rated voltage and the duration is greater than 60 s.
Step S2 is a method of calculating the power outage duration time of each power outage event from the formed first power outage event set:
the duration of the power outage of the user at event i is the power restoration time of the user at event i — the power outage start time of the user at event i, where i is 1,2, …, m, unit: and s and m are the total number of the power failure events in the first power failure event set.
The inactive blackout event removed in step S3 is the number of blackout events for which the user has a blackout duration of less than 180S, and is n:
n ═ sigma (subscriber power off duration <180)
In the first blackout event set obtained in step S1, the non-effective blackout events with the blackout duration less than 180S are removed, and a new second blackout event set is formed, where the total number of blackout events is m-n.
Step S4 is to calculate the total number of users in power outage in the statistical area of power supply reliability based on the second set of power outage events and the power outage duration calculated in step S2, specifically according to the following formula:
Since one smart meter is a user, that is, the number of blackout users of the event i is 1(i is 1,2, …, m-n).
Step S5 is specifically to calculate the average power failure time of the user in the area statistics period according to the total number of users and the total number of users in power failure, using the following formula:
average power failure time of user is total number of users/total number of users c when having a power failure, unit: h, the total number of users in the area is c.
Step S6 calculates the power supply reliability in the statistical period of the power supply reliability statistical region according to the average power failure time of the user calculated in step S5 by using the following formula:
power supply reliability is equal to the average power failure time of a user/statistical period time t multiplied by 100, unit: % and the statistical period time is t hours.
Corresponding to the method for evaluating the power supply reliability of the low-voltage user in the first embodiment of the invention, the second embodiment of the invention provides a device for evaluating the power supply reliability of the low-voltage user, which comprises the following steps:
the first forming module is used for collecting power failure and restoration information of the intelligent electric meters in the statistical area to form a first power failure event set;
the first calculation module is used for calculating the power failure duration time of each power failure event according to the formed first power failure event set;
the second forming module is used for removing non-effective power failure events from the first power failure event set to form a second power failure event set;
the second calculation module is used for calculating the number of total power failure users in the power supply reliability statistical area according to the second power failure event set and the power failure duration;
the third calculation module is used for calculating the average power failure time of the users according to the total number of users and the total number of users in power failure;
and the fourth calculation module is used for calculating the power supply reliability in the statistical area according to the average power failure time of the user.
For the working principle and process of the present embodiment, please refer to the description of the first embodiment of the present invention, which is not repeated herein.
The present invention also provides a computer readable storage medium comprising a stored computer program; and when running, the computer program controls the equipment where the computer readable storage medium is located to execute the low-voltage user power supply reliability evaluation method.
Preferably, the computer program may be divided into one or more modules/units (e.g., computer program 1, computer program 2, … …) that are stored in the memory and executed by the processor to implement the invention. The one or more modules/units may be a series of computer program instruction segments capable of performing specific functions, which are used to describe the execution of the computer program in the apparatus. The Processor may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf Programmable Gate Array (FPGA) or other Programmable logic device, a discrete Gate or transistor logic device, a discrete hardware component, etc., a general purpose Processor may be a microprocessor, or the Processor may be any conventional Processor, the Processor is a control center of the apparatus, and various interfaces and lines are used to connect various parts of the apparatus. The memory mainly includes a program storage area and a data storage area, wherein the program storage area may store an operating system, an application program required for at least one function, and the like, and the data storage area may store related data and the like. In addition, the memory may be a high speed random access memory, may also be a non-volatile memory, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash Card (Flash Card), and the like, or may also be other volatile solid state memory devices.
It should be noted that the above-mentioned apparatus may include, but is not limited to, a processor and a memory, and those skilled in the art can understand the above.
The embodiment of the invention has the following beneficial effects: on the basis of the standard of the national power industry standard power supply system power supply reliability evaluation regulation (DL/T836-.
The above disclosure is only for the purpose of illustrating the preferred embodiments of the present invention, and it is therefore to be understood that the invention is not limited by the scope of the appended claims.
Claims (10)
1. A method for evaluating the power supply reliability of a low-voltage user is characterized by comprising the following steps:
step S1, collecting power failure and restoration information of the intelligent electric meters in the statistical area to form a first power failure event set;
step S2, calculating the power failure duration of each power failure event according to the formed first power failure event set;
step S3, removing non-effective power failure events from the first power failure event set to form a second power failure event set;
step S4, calculating the total number of users in power failure in the power supply reliability statistical area according to the second power failure event set and the power failure duration;
step S5, calculating the average power failure time of the user according to the total number of users and the total number of users in power failure;
and step S6, calculating the power supply reliability in the statistical area according to the average power failure time of the user.
2. The method for evaluating reliability of power supply to low-voltage users according to claim 1, wherein the step S1 is to collect power meter outage and restoration information to form a first power outage event set, and specifically comprises: and collecting user power failure and power restoration data in the intelligent electric meter in the statistical area, and matching the collected power failure and power restoration data each time with user information of the marketing system to form a first power failure event set consisting of a plurality of power failure events comprising the user information, the user power failure starting time and the user power restoration time.
3. The low-voltage user power supply reliability assessment method according to claim 2, wherein the smart meters comprise a three-phase smart meter and a single-phase smart meter, and the user power failure and power restoration data in the smart meters comprise:
three-phase smart electric meter user power failure start time: when the power supply voltage is lower than 60% of rated voltage, the three-phase load current is not more than 5% of rated current, and the duration is more than 60 s;
the user power restoration time of the three-phase intelligent electric meter is as follows: when the power supply voltage is greater than 80% of rated voltage and the duration is greater than 60 s;
single-phase smart electric meter user power failure start time: when the power supply voltage is lower than 60% of the rated voltage and the duration is longer than 60 s;
user power restoration time of the single-phase intelligent electric meter: and when the power supply voltage is greater than 80% of the rated voltage and the duration is greater than 60 s.
4. The method for evaluating reliability of power supply to low-voltage users according to claim 3, wherein the step S2 is implemented by calculating the power failure duration of each power failure event according to the formed first power failure event set, and comprises:
the duration of the power outage of the user at event i is the power restoration time of the user at event i — the power outage start time of the user at event i, where i is 1,2, …, m, unit: and s and m are the total number of the power failure events in the first power failure event set.
5. The method according to claim 4, wherein the non-effective blackout events removed in step S3 are the number of blackout events with a blackout duration of less than 180S, and the non-effective blackout events n are removed from the first blackout event set to form a new second blackout event set, wherein the total number of blackout events is m-n, and n ∑ (blackout duration of user < 180).
6. The method for evaluating reliability of power supply to low-voltage users according to claim 5, wherein the step S4 is to calculate the total number of users in power failure in the statistical region of power supply reliability according to the following formula:
unit: h, household, the number of power failure users of the event i is 1(i is 1,2, …, m-n).
7. The method for evaluating reliability of power supply to low-voltage users according to claim 6, wherein in step S5, the average time to power failure of a user in the area statistics period is calculated by the following formula according to the total number of users and the total number of users during power failure:
average power failure time of user is total number of users/total number of users c when having a power failure, unit: h.
8. the method for evaluating reliability of power supply to low-voltage users according to claim 7, wherein the step S6 is to calculate the power supply reliability within the statistical period of the power supply reliability statistical region by using the following formula:
power supply reliability is equal to the average power failure time of a user/statistical period time t multiplied by 100, unit: % of the total weight of the composition.
9. A low-voltage user power supply reliability evaluation device is characterized by comprising:
the first forming module is used for collecting power failure and restoration information of the intelligent electric meters in the statistical area to form a first power failure event set;
the first calculation module is used for calculating the power failure duration time of each power failure event according to the formed first power failure event set;
the second forming module is used for removing non-effective power failure events from the first power failure event set to form a second power failure event set;
the second calculation module is used for calculating the number of total power failure users in the power supply reliability statistical area according to the second power failure event set and the power failure duration;
the third calculation module is used for calculating the average power failure time of the users according to the total number of users and the total number of users in power failure;
and the fourth calculation module is used for calculating the power supply reliability in the statistical area according to the average power failure time of the user.
10. A computer-readable storage medium, characterized in that the computer-readable storage medium comprises a stored computer program; wherein the computer program controls the device where the computer readable storage medium is located to execute the low-voltage user power supply reliability assessment method according to any one of claims 1 to 8 when running.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010364800.7A CN111553603A (en) | 2020-04-30 | 2020-04-30 | Method and device for evaluating power supply reliability of low-voltage user and computer readable storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010364800.7A CN111553603A (en) | 2020-04-30 | 2020-04-30 | Method and device for evaluating power supply reliability of low-voltage user and computer readable storage medium |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN111553603A true CN111553603A (en) | 2020-08-18 |
Family
ID=72001755
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010364800.7A Pending CN111553603A (en) | 2020-04-30 | 2020-04-30 | Method and device for evaluating power supply reliability of low-voltage user and computer readable storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111553603A (en) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112347089A (en) * | 2020-10-29 | 2021-02-09 | 广西电网有限责任公司电力科学研究院 | Method for checking power supply reliability data quality of multiple systems |
| CN113064803A (en) * | 2021-03-25 | 2021-07-02 | 深圳供电局有限公司 | Power failure event recording method and device for double-core intelligent electric meter and computer equipment |
| CN113779902A (en) * | 2021-09-09 | 2021-12-10 | 广东电网有限责任公司 | Method, device and equipment for determining reliability of circuit and storage medium |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104143823A (en) * | 2012-10-22 | 2014-11-12 | 国网山东省电力公司青岛供电公司 | Blackout event information collecting method and system |
| CN109584102A (en) * | 2018-12-20 | 2019-04-05 | 天津大学 | A kind of evaluating reliability of distribution network analysis method based on user's perception |
-
2020
- 2020-04-30 CN CN202010364800.7A patent/CN111553603A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104143823A (en) * | 2012-10-22 | 2014-11-12 | 国网山东省电力公司青岛供电公司 | Blackout event information collecting method and system |
| CN104182815A (en) * | 2012-10-22 | 2014-12-03 | 国网山东省电力公司青岛供电公司 | Power supply reliability acquisition method and system |
| CN109584102A (en) * | 2018-12-20 | 2019-04-05 | 天津大学 | A kind of evaluating reliability of distribution network analysis method based on user's perception |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112347089A (en) * | 2020-10-29 | 2021-02-09 | 广西电网有限责任公司电力科学研究院 | Method for checking power supply reliability data quality of multiple systems |
| CN113064803A (en) * | 2021-03-25 | 2021-07-02 | 深圳供电局有限公司 | Power failure event recording method and device for double-core intelligent electric meter and computer equipment |
| CN113779902A (en) * | 2021-09-09 | 2021-12-10 | 广东电网有限责任公司 | Method, device and equipment for determining reliability of circuit and storage medium |
| CN113779902B (en) * | 2021-09-09 | 2024-06-14 | 广东电网有限责任公司 | Line reliability determining method, device, equipment and storage medium |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN111553603A (en) | Method and device for evaluating power supply reliability of low-voltage user and computer readable storage medium | |
| Haughton et al. | Smart distribution system design: Automatic reconfiguration for improved reliability | |
| CN111835002B (en) | Power distribution network reliability assessment method, device and storage medium | |
| Li | Framework of probabilistic power system planning | |
| CN110137958B (en) | User voltage sag analysis method and system | |
| CN103065265A (en) | Identification method based on PQ View data source for power quality disruption type | |
| CN115061013B (en) | Low-voltage common fault studying and judging method and system based on power failure event big data analysis | |
| CN110728065A (en) | Voltage sag fault probability estimation and loss estimation method | |
| Bollen et al. | Is there a place for power quality in the smart grid? | |
| CN110542772A (en) | Nondestructive replacement device and method for electric energy meter | |
| Xiangning et al. | Study on distribution reliability considering voltage sags and acceptable indices | |
| CN111398859A (en) | User low-voltage cause big data analysis method and system | |
| CN112994050B (en) | Method and device for treating station area unbalance based on standard deviation degree | |
| CN114336690A (en) | Intelligent terminal-based three-phase imbalance management method and system for transformer area and storage medium | |
| CN113792967A (en) | Distributed photovoltaic operation state evaluation method and device and electronic equipment | |
| CN110707729B (en) | Method and device for analyzing multi-region primary frequency modulation condition and storage medium | |
| CN112258030A (en) | Site selection method and system for intelligent switching station of power distribution network and information data processing terminal | |
| CN116822954A (en) | Evaluation method and device for power generation project, electronic equipment and storage medium | |
| CN114624530A (en) | Method, device, equipment and medium for determining real-time load rate of transformer | |
| CN114064622A (en) | Big data-based power failure study and judgment processing method and system | |
| CN111553810A (en) | Power supply reliability fuzzy statistical method and device and computer readable storage medium | |
| CN111047188A (en) | Power failure plan generation method and system, computer equipment and storage medium | |
| Sun et al. | Cost-benefit assessment challenges for a smart distribution system: A case study | |
| Han et al. | An analytical method for DG placements considering reliability improvements | |
| CN114626610A (en) | Distribution line planning device and planning method |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |