CN112381467A - Artificial intelligence line loss analysis system based on big data of distribution station district total collection - Google Patents
Artificial intelligence line loss analysis system based on big data of distribution station district total collection Download PDFInfo
- Publication number
- CN112381467A CN112381467A CN202011468669.5A CN202011468669A CN112381467A CN 112381467 A CN112381467 A CN 112381467A CN 202011468669 A CN202011468669 A CN 202011468669A CN 112381467 A CN112381467 A CN 112381467A
- Authority
- CN
- China
- Prior art keywords
- line loss
- data
- module
- loss analysis
- unit
- 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
- 238000004458 analytical method Methods 0.000 title claims abstract description 141
- 238000013473 artificial intelligence Methods 0.000 title claims abstract description 25
- 238000013480 data collection Methods 0.000 claims abstract description 18
- 238000012544 monitoring process Methods 0.000 claims abstract description 6
- 238000004364 calculation method Methods 0.000 claims description 18
- 230000005540 biological transmission Effects 0.000 claims description 16
- 238000005259 measurement Methods 0.000 claims 1
- 238000007726 management method Methods 0.000 description 17
- 230000002159 abnormal effect Effects 0.000 description 11
- 238000010586 diagram Methods 0.000 description 6
- 230000005611 electricity Effects 0.000 description 3
- 238000000034 method Methods 0.000 description 2
- 230000009466 transformation Effects 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000011835 investigation Methods 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 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
- G06Q10/20—Administration of product repair or maintenance
-
- 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
- G06Q10/06393—Score-carding, benchmarking or key performance indicator [KPI] analysis
-
- 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
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
Landscapes
- Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- Engineering & Computer Science (AREA)
- Economics (AREA)
- Strategic Management (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- Entrepreneurship & Innovation (AREA)
- Marketing (AREA)
- General Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- Tourism & Hospitality (AREA)
- Quality & Reliability (AREA)
- Health & Medical Sciences (AREA)
- Operations Research (AREA)
- Development Economics (AREA)
- Educational Administration (AREA)
- Public Health (AREA)
- Primary Health Care (AREA)
- Water Supply & Treatment (AREA)
- General Health & Medical Sciences (AREA)
- Game Theory and Decision Science (AREA)
- Remote Monitoring And Control Of Power-Distribution Networks (AREA)
Abstract
The invention discloses an artificial intelligence line loss analysis system based on power distribution station full-scale collection of large data, which comprises a power distribution station data collection system, a line loss analysis system and a remote control platform, wherein the power distribution station data collection system is connected with the line loss analysis system, and the line loss analysis system is connected with the remote control platform. The power distribution station data acquisition system, the line loss analysis system and the remote control platform are arranged, the data acquisition system acquires power data from a power distribution station area and then transmits the power data to the line loss analysis system, the line loss analysis system analyzes the line loss and outputs a line loss analysis result to the remote control platform, the remote control platform acquires and displays the line loss analysis result, power monitoring personnel can check the line loss analysis result, each line of the power distribution station can be monitored in real time, the line loss analysis is carried out, the data acquisition is comprehensive, and the analysis result is accurate.
Description
Technical Field
The invention relates to the technical field of line loss analysis, in particular to an artificial intelligence line loss analysis system based on the whole collection of large data of a power distribution station area.
Background
The line loss rate is the ratio of the electric energy loss to the power supply amount in a certain period, and is an important index for measuring the technical economy of a power grid. The method comprehensively reflects the technical and economic levels of planning design, production operation and operation management of the power system. The line loss power cannot be measured by a meter, and is usually obtained by subtracting the power supply amount and the power selling amount measured by the electric energy meter. I.e., the line loss is a margin whose accuracy depends on the accuracy of the amount of power supplied and sold.
From the point of view of the loss generation source, the line loss capacity can be divided into technical loss and management loss. The technical loss refers to the loss generated by the transmission and transformation distribution facility, and the technical loss can be obtained through theoretical calculation and mainly comprises two parts, namely fixed loss (no-load loss) and variable loss (load loss). The management loss refers to electric energy loss caused by poor metering, meter reading, electricity stealing and other management in the process of power transmission, transformation and distribution. The management loss is not regular and is not easy to measure and calculate.
At present, the line loss of a low-voltage power grid mainly comes from management line loss, and the management line loss relates to the aspects of power consumption information acquisition, marketing and distribution communication, illegal power consumption problem investigation and meter reading and the like. Poor grasping in any link and increased line loss rate. The line loss abnormity reflects that weak links necessarily exist in marketing management.
Therefore, in view of the above current situation, there is an urgent need to develop an artificial intelligence line loss analysis system based on the whole collection of large data in a power distribution substation area to overcome the shortcomings in the current practical application.
Disclosure of Invention
The invention aims to provide an artificial intelligence line loss analysis system based on the whole collection of large data of a power distribution station area, so as to solve the problems in the background technology.
In order to achieve the purpose, the invention provides the following technical scheme:
an artificial intelligence line loss analysis system based on large data collected by a power distribution station area in total comprises a power distribution station data collection system, a line loss analysis system and a remote control platform, wherein the power distribution station data collection system is connected with the line loss analysis system, and the line loss analysis system is connected with the remote control platform; the data acquisition system acquires power data from the distribution station area and transmits the power data to the line loss analysis system, the line loss analysis system analyzes the line loss and outputs a line loss analysis result to the remote control platform, the distribution station data acquisition system comprises a line search module, a data acquisition module, a data backup module and a data transmission module, and the line loss analysis system comprises a line loss analysis module and an anomaly statistical module; and the remote control platform is used for acquiring and displaying a line loss analysis result and checking power monitoring personnel.
As a further scheme of the invention: the circuit searching module and the data acquisition module are sequentially connected, and the data acquisition module is respectively connected with the data backup module and the data transmission module.
As a further scheme of the invention: the line searching module comprises a naming unit set for the cable inlet name and a binding unit for recording the model of the data acquisition module bound on the cable.
As a further scheme of the invention: the data acquisition module comprises a transformer data acquisition unit, an electric energy meter data acquisition unit, a metering data acquisition unit, a line loss calculation unit and a line loss management unit.
As a further scheme of the invention: the transformer data acquisition unit, the electric energy meter data acquisition unit and the metering data acquisition unit are all connected with the line loss calculation unit, and the line loss calculation unit is connected with the line loss management unit.
As a further scheme of the invention: the line loss analysis module comprises a high-voltage line loss analysis unit, a low-voltage line loss analysis unit and a comprehensive analysis unit.
As a further scheme of the invention: and the high-voltage line loss analysis unit and the low-voltage line loss analysis unit are connected with the comprehensive analysis unit.
As a further scheme of the invention: the abnormity statistics module comprises a data comparison unit, an abnormity analysis unit and an electricity stealing analysis unit, and the data comparison unit, the abnormity analysis unit and the electricity stealing analysis unit are sequentially connected.
As a further scheme of the invention: the remote control platform comprises a login module, an inquiry module and an operation module.
As a further scheme of the invention: the login module, the query module and the operation module are connected in sequence.
Compared with the prior art, the invention has the beneficial effects that: the power distribution station data acquisition system, the line loss analysis system and the remote control platform are arranged, the data acquisition system acquires power data from a power distribution station area and then transmits the power data to the line loss analysis system, the line loss analysis system analyzes the line loss and outputs a line loss analysis result to the remote control platform, the remote control platform acquires and displays the line loss analysis result, power monitoring personnel can check the line loss analysis result, each line of the power distribution station can be monitored in real time, the line loss analysis is carried out, the data acquisition is comprehensive, and the analysis result is accurate.
Drawings
Fig. 1 is a system block diagram of an artificial intelligence line loss analysis system based on the large data collected by the whole power distribution station.
Fig. 2 is a system block diagram of a distribution substation data acquisition system in an artificial intelligence line loss analysis system based on large data acquired by a distribution substation area in total.
Fig. 3 is a system block diagram of a line search module in an artificial intelligence line loss analysis system based on the total collection of big data in a power distribution transformer area.
Fig. 4 is a system block diagram of a data acquisition module in an artificial intelligence line loss analysis system based on the total acquisition of big data in a power distribution transformer area.
Fig. 5 is a system block diagram of a line loss analysis module in an artificial intelligence line loss analysis system based on the large data collected in the whole distribution substation.
Fig. 6 is a system block diagram of an abnormal statistical unit in an artificial intelligence line loss analysis system based on the large data collected in the whole distribution substation.
In the figure: 1-power distribution station data acquisition system, 11-line search module, 111-naming unit, 112-binding unit, 12-data acquisition module, 121-transformer data acquisition unit, 122-electric energy meter data acquisition unit, 123-metering data acquisition unit, 124-line loss calculation unit, 125-line loss management unit, 13-data backup module, 14-data transmission module, 2-line loss analysis system, 21-line loss analysis module, 211-high voltage line loss analysis unit, 212-low voltage line loss analysis unit, 213-comprehensive analysis unit, 22-abnormity statistics unit, 221-data comparison unit, 222-abnormity analysis unit, 223-electricity stealing analysis unit, 3-remote control platform, 31-login module, 32-query module, 33-operation module.
Detailed Description
The technical solution of the present patent will be described in further detail with reference to the following embodiments.
Reference will now be made in detail to embodiments of the present patent, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the drawings are exemplary only for the purpose of explaining the present patent and are not to be construed as limiting the present patent.
Example 1
Referring to fig. 1-5, in the embodiment of the present invention, an artificial intelligence line loss analysis system based on power distribution station area full-scale collection of large data includes a power distribution station data collection system 1, a line loss analysis system 2 and a remote control platform 3, where the power distribution station data collection system 1 is connected to the line loss analysis system 2, the line loss analysis system 2 is connected to the remote control platform 3, the data collection system 1 obtains power data from the power distribution station area and then transmits the power data to the line loss analysis system 2, the line loss analysis system 2 analyzes the line loss, and outputs a line loss analysis result to the remote control platform 3, and the remote control platform 3 is used to obtain and display the line loss analysis result for a power monitoring person to check;
the power distribution station data acquisition system 1 comprises a line searching module 11, a data acquisition module 12, a data backup module 13 and a data transmission module 14, wherein the line searching module 11 and the data acquisition module 12 are sequentially connected, and the data acquisition module 12 is respectively connected with the data backup module 13 and the data transmission module 14;
the line searching module 11 is used for setting names of all lines of the power distribution station and inquiring the lines according to data acquisition requirements and names, the data acquisition module 12 is bound to each line with the set name, the data acquisition module 12 is used for acquiring various electric power data of the line and sending the electric power data to the data backup module 13 and the data transmission module 14, the data backup module 13 is used for backing up and storing the acquired data, and the data transmission module 14 is used for sending the acquired data to the line loss analysis system 2;
specifically, in this embodiment, the line searching module 11 includes a naming unit 111 configured to set a cable incoming name and a binding unit 112 configured to record the model of the data acquisition module 12 bound to the cable;
further, in this embodiment, the data acquisition module 12 includes a transformer data acquisition unit 121, an electric energy meter data acquisition unit 122, a metering data acquisition unit 123, a line loss calculation unit 124, and a line loss management unit 125, where the transformer data acquisition unit 121, the electric energy meter data acquisition unit 122, and the metering data acquisition unit 123 are all connected to the line loss calculation unit 124, and the line loss calculation unit 124 is connected to the line loss management unit 125;
the transformer data acquisition unit 121, the electric energy meter data acquisition unit 122 and the metering data acquisition unit 123 are respectively used for acquiring various electric energy data of a line, the line loss calculation unit 124 acquires the acquired electric energy data, and a line loss value is calculated according to a line loss calculation model; the line loss management unit 125 records the line loss data after acquiring the line loss data;
the line loss analysis system 2 comprises a line loss analysis module 21 and an abnormal statistics module 22, and is used for analyzing line loss and counting abnormal lines according to analysis results;
the line loss analysis module 21 comprises a high-voltage line loss analysis unit 211, a low-voltage line loss analysis unit 211 and a comprehensive analysis unit 213, and the high-voltage line loss analysis unit 211 and the low-voltage line loss analysis unit 211 are connected with the comprehensive analysis unit 213; the abnormal statistic module 22 comprises a data comparison unit 221, an abnormal analysis unit 222 and a power stealing analysis unit 223, wherein the data comparison unit 221, the abnormal analysis unit 222 and the power stealing analysis unit 223 are sequentially connected.
Example 2
Referring to fig. 1-5, in the embodiment of the present invention, an artificial intelligence line loss analysis system based on power distribution station area full-scale collection of large data includes a power distribution station data collection system 1, a line loss analysis system 2 and a remote control platform 3, where the power distribution station data collection system 1 is connected to the line loss analysis system 2, the line loss analysis system 2 is connected to the remote control platform 3, the data collection system 1 obtains power data from the power distribution station area and then transmits the power data to the line loss analysis system 2, the line loss analysis system 2 analyzes the line loss, and outputs a line loss analysis result to the remote control platform 3, and the remote control platform 3 is used to obtain and display the line loss analysis result for a power monitoring person to check;
the power distribution station data acquisition system 1 comprises a line searching module 11, a data acquisition module 12, a data backup module 13 and a data transmission module 14, wherein the line searching module 11 and the data acquisition module 12 are sequentially connected, and the data acquisition module 12 is respectively connected with the data backup module 13 and the data transmission module 14;
the line searching module 11 is used for setting names of all lines of the power distribution station and inquiring the lines according to data acquisition requirements and names, the data acquisition module 12 is bound to each line with the set name, the data acquisition module 12 is used for acquiring various electric power data of the line and sending the electric power data to the data backup module 13 and the data transmission module 14, the data backup module 13 is used for backing up and storing the acquired data, and the data transmission module 14 is used for sending the acquired data to the line loss analysis system 2;
specifically, in this embodiment, the line searching module 11 includes a naming unit 111 configured to set a cable incoming name and a binding unit 112 configured to record the model of the data acquisition module 12 bound to the cable;
further, in this embodiment, the data acquisition module 12 includes a transformer data acquisition unit 121, an electric energy meter data acquisition unit 122, a metering data acquisition unit 123, a line loss calculation unit 124, and a line loss management unit 125, where the transformer data acquisition unit 121, the electric energy meter data acquisition unit 122, and the metering data acquisition unit 123 are all connected to the line loss calculation unit 124, and the line loss calculation unit 124 is connected to the line loss management unit 125;
the transformer data acquisition unit 121, the electric energy meter data acquisition unit 122 and the metering data acquisition unit 123 are respectively used for acquiring various electric energy data of a line, the line loss calculation unit 124 acquires the acquired electric energy data, and a line loss value is calculated according to a line loss calculation model; the line loss management unit 125 records the line loss data after acquiring the line loss data;
the line loss analysis system 2 comprises a line loss analysis module 21 and an abnormal statistics module 22, and is used for analyzing line loss and counting abnormal lines according to analysis results;
the line loss analysis module 21 comprises a high-voltage line loss analysis unit 211, a low-voltage line loss analysis unit 211 and a comprehensive analysis unit 213, and the high-voltage line loss analysis unit 211 and the low-voltage line loss analysis unit 211 are connected with the comprehensive analysis unit 213; the abnormal statistic module 22 comprises a data comparison unit 221, an abnormal analysis unit 222 and a power stealing analysis unit 223, wherein the data comparison unit 221, the abnormal analysis unit 222 and the power stealing analysis unit 223 are sequentially connected.
The present embodiment is different from embodiment 1 in that:
remote control platform 3 is including logging in module 31, inquiry module 32 and operation module 33, and logging in module 31, inquiry module 32 and operation module 33 connect gradually, logging in module 31 is used for obtaining user account password, logs in remote control platform 3 after checking, and the user can also download line loss data and analysis result, upload individual suggestion through operation module 33 through the line loss condition and the analysis result of each circuit of inquiry power distribution station through inquiry module 32.
The above is only a preferred embodiment of the present invention, and it should be noted that, for those skilled in the art, it is possible to make several variations and modifications without departing from the concept of the present invention, and these should be considered as the protection scope of the present invention, which will not affect the effect of the implementation of the present invention and the utility of the patent.
Claims (10)
1. An artificial intelligence line loss analysis system based on large data of a power distribution station area is characterized by comprising a power distribution station data acquisition system (1), a line loss analysis system (2) and a remote control platform (3), wherein the power distribution station data acquisition system (1) is connected with the line loss analysis system (2), and the line loss analysis system (2) is connected with the remote control platform (3);
the power distribution station data acquisition system comprises a data acquisition system (1), a line loss analysis system (2), a line loss analysis module (2), a data acquisition module (12), a data backup module (13) and a data transmission module (14), wherein the data acquisition system (1) acquires power data from a power distribution station area and then transmits the power data to the line loss analysis system (2), the line loss analysis system (2) analyzes the line loss and outputs a line loss analysis result to the remote control platform (3), the power distribution station data acquisition system (1) comprises a line searching module (11), a data acquisition module (12), a data backup module (13) and a data transmission module (14), and the line loss analysis system (2;
and the remote control platform (3) is used for acquiring and displaying a line loss analysis result and checking the line loss analysis result by power monitoring personnel.
2. The artificial intelligence line loss analysis system based on big data of distribution transformer district volume collection according to claim 1, characterized in that, the circuit is looked for module (11) and data acquisition module (12) and is connected in proper order, and data acquisition module (12) is connected with data backup module (13), data transmission module (14) respectively.
3. The artificial intelligence line loss analysis system based on big data of distribution room total collection of claim 2, characterized in that, the line search module (11) includes a naming unit (111) for setting the cable incoming name and a binding unit (112) for recording the model of the data collection module (12) bound on the cable.
4. The artificial intelligence line loss analysis system based on large data of power distribution station district full-scale collection according to claim 3, characterized in that, the data collection module (12) includes a transformer data collection unit (121), an electric energy meter data collection unit (122), a metering data collection unit (123), a line loss calculation unit (124) and a line loss management unit (125).
5. The artificial intelligence line loss analysis system based on large data of distribution transformer district total collection according to claim 4, characterized in that, transformer data collection unit (121), electric energy meter data collection unit (122), measurement data collection unit (123) all are connected with line loss calculation unit (124), and line loss calculation unit (124) is connected with line loss management unit (125).
6. The artificial intelligence line loss analysis system based on power distribution station total collection big data of claim 1, characterized in that, the line loss analysis module (21) includes a high voltage line loss analysis unit (211), a low voltage line loss analysis unit (211) and a comprehensive analysis unit (213).
7. The artificial intelligence line loss analysis system based on large data of power distribution station total collection according to claim 6, characterized in that, the high voltage line loss analysis unit (211) and the low voltage line loss analysis unit (211) are both connected with the comprehensive analysis unit (213).
8. The artificial intelligence line loss analysis system based on big data of distribution substation total collection of claim 7, characterized in that, the unusual statistics module (22) includes data contrast unit (221), unusual analysis unit (222) and steal electric analysis unit (223), and data contrast unit (221), unusual analysis unit (222) and steal electric analysis unit (223) connect gradually.
9. The artificial intelligence line loss analysis system based on large data of power distribution station total collection according to any one of claims 1-8, characterized in that, the remote control platform (3) comprises a login module (31), an inquiry module (32) and an operation module (33).
10. The artificial intelligence line loss analysis system based on big data of distribution substation total collection of claim 9, characterized in that, login module (31), inquiry module (32) and operation module (33) connect gradually.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011468669.5A CN112381467A (en) | 2020-12-15 | 2020-12-15 | Artificial intelligence line loss analysis system based on big data of distribution station district total collection |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011468669.5A CN112381467A (en) | 2020-12-15 | 2020-12-15 | Artificial intelligence line loss analysis system based on big data of distribution station district total collection |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN112381467A true CN112381467A (en) | 2021-02-19 |
Family
ID=74589755
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202011468669.5A Pending CN112381467A (en) | 2020-12-15 | 2020-12-15 | Artificial intelligence line loss analysis system based on big data of distribution station district total collection |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112381467A (en) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113125882A (en) * | 2021-03-24 | 2021-07-16 | 国网河北省电力有限公司检修分公司 | Power line route loss real-time monitoring system based on Internet of things |
| CN113178946A (en) * | 2021-04-12 | 2021-07-27 | 国网河北省电力有限公司沧州供电分公司 | Offshore oil field group power coordination optimization method based on shore-based power supply |
| CN114139862A (en) * | 2021-10-28 | 2022-03-04 | 国网江苏省电力有限公司连云港供电分公司 | Large data-based distribution room line loss analysis monitoring system and analysis method thereof |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101593978A (en) * | 2009-06-30 | 2009-12-02 | 深圳市科陆电子科技股份有限公司 | A kind of to high and low voltage line loss of distribution network analytical method and analytical system |
| CN109633328A (en) * | 2018-12-25 | 2019-04-16 | 国网湖南省电力有限公司 | A kind of fixed line loss monitoring and analyzing system |
| CN110912118A (en) * | 2019-10-22 | 2020-03-24 | 深圳供电局有限公司 | Low-voltage branch line loss analysis method and monitoring system |
| CN111693795A (en) * | 2020-03-30 | 2020-09-22 | 贵州电网有限责任公司 | Intelligent electric meter-based transformer area line loss rate evaluation and abnormity judgment method |
| CN111724060A (en) * | 2020-06-18 | 2020-09-29 | 国网天津市电力公司 | Integrated analysis monitoring system and analysis method for transformer area line loss |
-
2020
- 2020-12-15 CN CN202011468669.5A patent/CN112381467A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101593978A (en) * | 2009-06-30 | 2009-12-02 | 深圳市科陆电子科技股份有限公司 | A kind of to high and low voltage line loss of distribution network analytical method and analytical system |
| CN109633328A (en) * | 2018-12-25 | 2019-04-16 | 国网湖南省电力有限公司 | A kind of fixed line loss monitoring and analyzing system |
| CN110912118A (en) * | 2019-10-22 | 2020-03-24 | 深圳供电局有限公司 | Low-voltage branch line loss analysis method and monitoring system |
| CN111693795A (en) * | 2020-03-30 | 2020-09-22 | 贵州电网有限责任公司 | Intelligent electric meter-based transformer area line loss rate evaluation and abnormity judgment method |
| CN111724060A (en) * | 2020-06-18 | 2020-09-29 | 国网天津市电力公司 | Integrated analysis monitoring system and analysis method for transformer area line loss |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113125882A (en) * | 2021-03-24 | 2021-07-16 | 国网河北省电力有限公司检修分公司 | Power line route loss real-time monitoring system based on Internet of things |
| CN113178946A (en) * | 2021-04-12 | 2021-07-27 | 国网河北省电力有限公司沧州供电分公司 | Offshore oil field group power coordination optimization method based on shore-based power supply |
| CN114139862A (en) * | 2021-10-28 | 2022-03-04 | 国网江苏省电力有限公司连云港供电分公司 | Large data-based distribution room line loss analysis monitoring system and analysis method thereof |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN112381467A (en) | Artificial intelligence line loss analysis system based on big data of distribution station district total collection | |
| CN104267374B (en) | Metering device on-line checking and status assessing system | |
| CN205246858U (en) | Electric energy metering device error checking appearance and long -range online calibration system | |
| CN204854975U (en) | Cubical switchboard temperature on -line monitoring system | |
| CN202230150U (en) | On-line monitoring intelligent terminal for electric power lightning arrester with fiber for power supply | |
| CN101957396B (en) | On-line monitoring device and method for voltage quality of electric power system | |
| CN110703009B (en) | Abnormal analysis and processing method for line loss rate of transformer area | |
| CN110850357B (en) | Remote comprehensive processing system for electric energy metering device | |
| CN114152896A (en) | Misalignment replacing system based on acquisition platform | |
| CN108318732B (en) | On-line monitoring device and method for grounding current of transformer core | |
| CN104392603B (en) | A kind of live power information collecting device intelligent diagnosis system | |
| CN115912615A (en) | Power distribution network state evaluation method and system | |
| CN117394311B (en) | Power distribution network toughness assessment and emergency control method based on multi-source information fusion | |
| CN112446801B (en) | System and method for improving data quality of power system | |
| CN203164360U (en) | Transformer device insulation online monitoring system | |
| CN203965034U (en) | A kind of electrical transformer cores and winding failure on-line monitoring system | |
| CN201319049Y (en) | High-tension current mutual-inductor transformation ratio tester | |
| CN207946476U (en) | A kind of arrester test system based on ZigBee technology | |
| CN205720421U (en) | Remote power measurement monitoring system | |
| CN203365573U (en) | Electric power parameter monitoring device for intelligent electrical network | |
| CN109061547A (en) | A kind of full-time inspection on-line monitoring system of gate energy meter | |
| CN208888359U (en) | A kind of full-time inspection on-line monitoring system of gate energy meter | |
| CN203275554U (en) | Multipoint electric power parameter monitoring management system based on ARM and WinCE | |
| CN208156088U (en) | A kind of warning device based on power quality index monitoring | |
| CN103513221A (en) | Secondary voltage drop/secondary load on-line monitoring device and system and monitoring method thereof |
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 | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20210219 |
|
| RJ01 | Rejection of invention patent application after publication |