CN114662566A - Power dispatching system fault detection equipment and detection method based on big data - Google Patents
Power dispatching system fault detection equipment and detection method based on big data Download PDFInfo
- Publication number
- CN114662566A CN114662566A CN202210197904.2A CN202210197904A CN114662566A CN 114662566 A CN114662566 A CN 114662566A CN 202210197904 A CN202210197904 A CN 202210197904A CN 114662566 A CN114662566 A CN 114662566A
- Authority
- CN
- China
- Prior art keywords
- module
- data
- power
- early warning
- equipment
- 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
- 238000001514 detection method Methods 0.000 title claims abstract description 31
- 230000005540 biological transmission Effects 0.000 claims abstract description 21
- 230000002159 abnormal effect Effects 0.000 claims abstract description 20
- 230000005611 electricity Effects 0.000 claims description 17
- 238000000034 method Methods 0.000 claims description 14
- 230000003213 activating effect Effects 0.000 claims description 8
- 238000012544 monitoring process Methods 0.000 description 3
- 238000004519 manufacturing process Methods 0.000 description 2
- 230000005856 abnormality Effects 0.000 description 1
- 230000004075 alteration Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 239000003990 capacitor Substances 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/24—Classification techniques
- G06F18/243—Classification techniques relating to the number of classes
- G06F18/2433—Single-class perspective, e.g. one-against-all classification; Novelty detection; Outlier detection
-
- 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
- Engineering & Computer Science (AREA)
- Business, Economics & Management (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- Data Mining & Analysis (AREA)
- Economics (AREA)
- Health & Medical Sciences (AREA)
- General Physics & Mathematics (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Water Supply & Treatment (AREA)
- General Engineering & Computer Science (AREA)
- Evolutionary Biology (AREA)
- Bioinformatics & Computational Biology (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Artificial Intelligence (AREA)
- Life Sciences & Earth Sciences (AREA)
- Public Health (AREA)
- Evolutionary Computation (AREA)
- General Health & Medical Sciences (AREA)
- Human Resources & Organizations (AREA)
- Marketing (AREA)
- Primary Health Care (AREA)
- Strategic Management (AREA)
- Tourism & Hospitality (AREA)
- General Business, Economics & Management (AREA)
- Remote Monitoring And Control Of Power-Distribution Networks (AREA)
Abstract
The invention relates to the technical field of power dispatching, and discloses a big data-based power dispatching system fault detection device and a big data-based power dispatching system fault detection method. According to the power dispatching system fault detection equipment and the detection method based on the big data, the running state of the power equipment can be judged in real time during use through the matched setting of the power utilization threshold value module and the safety threshold value judgment module, and the function of early warning for workers is played during use through the matched setting of the terminal transmission early warning module and the regional equipment early warning module, so that the workers can find abnormal conditions of the power equipment timely.
Description
Technical Field
The invention relates to the technical field of power dispatching, in particular to power dispatching system fault detection equipment and a power dispatching system fault detection method based on big data.
Background
The power dispatching is an effective management means which is adopted for ensuring safe and stable operation of a power grid, reliable external power supply and orderly operation of various power production works. The specific work content of power dispatching is that according to data information fed back by various information acquisition devices or information provided by monitoring personnel, the actual operation parameters of the power grid, such as voltage, current, frequency, load and the like, are combined, the development conditions of various production works are comprehensively considered, the safe and economic operation states of the power grid are judged, operation instructions are issued through a telephone or an automatic system, and field operators or automatic control systems are instructed to adjust, such as adjusting the output of a generator, adjusting load distribution, switching capacitors, reactors and the like, so that the continuous safe and stable operation of the power grid is ensured. With the continuous development of science and technology in recent years, modern monitoring and control means are continuously perfected, and the technical support of power dispatching is increasingly strong.
The conventional power dispatching system is inconvenient to monitor the operation condition of a power device in real time, and can find abnormality and give an alarm in time, so that the invention provides the power dispatching system fault detection equipment and the detection method based on big data.
Disclosure of Invention
Technical problem to be solved
Aiming at the defects of the prior art, the invention provides power dispatching system fault detection equipment and a power dispatching system fault detection method based on big data, and solves the problems in the background technology.
(II) technical scheme
In order to achieve the above purpose, the invention provides the following technical scheme: the device comprises a data terminal, a power dispatching module, a power utilization data acquisition module, a power utilization threshold module, an operation parameter acquisition module, a data transmission module, an operation parameter acquisition module, a safety threshold judgment module, a terminal transmission early warning module, a regional device early warning module and an operation device termination module, wherein the data terminal is used for displaying real-time data of each power device and uploading the data to the power dispatching module.
Preferably, the power dispatching module is used for performing power dispatching on each user according to the demand data in the data terminal, and uploading the power utilization data to the power utilization data acquisition module.
Preferably, the electricity consumption data acquisition module is used for receiving data and uploading the data to the electricity consumption threshold module, and the electricity consumption threshold module is preset with an electricity consumption safety threshold.
Preferably, when the power consumption voltage does not exceed the power consumption safety threshold value set in the power consumption threshold value module, the data are transmitted into the power consumption data acquisition module through the data transmission module, and the power consumption data are monitored in a circulating and real-time mode.
Preferably, when the power consumption voltage exceeds the power consumption safety threshold value set in the power consumption threshold value module, the abnormal operation parameters are uploaded to the safety threshold value judgment module through the operation parameter acquisition module.
Preferably, the safety threshold judgment module is used for secondarily judging whether the operation parameters are abnormal or not, determining which data are abnormal, and uploading the data to the terminal transmission early warning module and the regional equipment early warning module.
Preferably, the terminal transmission early warning module is used for activating the data terminal early warning module to perform early warning, and the regional equipment early warning module is used for activating the early warning module of abnormal equipment to perform early warning.
Preferably, the running device termination module is configured to terminate the running of the abnormal device.
(III) advantageous effects
Compared with the prior art, the invention provides the power dispatching system fault detection equipment and the detection method based on the big data, and the equipment and the method have the following beneficial effects:
according to the power dispatching system fault detection device and the detection method based on the big data, the power utilization threshold value module and the safety threshold value judgment module are matched, the operation state of the power equipment can be judged in real time during use, the terminal transmission early warning module and the regional equipment early warning module are matched, early warning is performed for workers during use, and therefore the workers can find abnormal conditions of the power equipment timely, and the abnormal power equipment can be stopped timely during use through the arrangement of the operation equipment termination module.
Drawings
Fig. 1 is a flowchart of a power dispatching system fault detection device and a detection method based on big data according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, the present invention provides a technical solution: the power utilization system comprises a data terminal, a power scheduling module, a power utilization data acquisition module, a power utilization threshold module, an operation parameter acquisition module, a data transmission module, an operation parameter acquisition module, a safety threshold judgment module, a terminal transmission early warning module, a regional equipment early warning module and an operation equipment termination module, wherein the data terminal is used for displaying real-time data of each power equipment and uploading the data to the power scheduling module, the power scheduling module is used for allocating power to each user according to demand data in the data terminal and uploading power utilization data to the power utilization data acquisition module, the power utilization data acquisition module is used for receiving and uploading data to the power utilization threshold module, the power utilization threshold module is preset with a power utilization safety threshold, and when the power utilization voltage does not exceed the power utilization safety threshold set in the power utilization threshold module, the data are transmitted into the power utilization data acquisition module through the data transmission module, and circulation real-time supervision power consumption data is carried out, can upload unusual operating parameter to safety threshold value judgment module through operation parameter acquisition module when power consumption voltage surpasss the power consumption safety threshold value that sets up in the power consumption threshold value module, safety threshold value judgment module is used for the secondary to judge whether operating parameter is unusual to confirm which data appear unusually, and upload data to terminal transmission early warning module and regional equipment early warning module, terminal transmission early warning module is used for activating data terminal early warning module and carries out the early warning, regional equipment early warning module is used for activating the early warning module of unusual equipment and carries out the early warning, operation equipment termination module is used for terminating the operation of unusual equipment.
Working;
s1, the data terminal is used for displaying real-time data of each power device and uploading the data to the power scheduling module;
s2, carrying out power allocation on each user through the demand data in the data terminal, and uploading the power utilization data to the power utilization data acquisition module;
s3, presetting an electricity utilization safety threshold value by the electricity utilization threshold value module, transmitting data into the electricity utilization data acquisition module through the data transmission module when the electricity utilization voltage does not exceed the electricity utilization safety threshold value set in the electricity utilization threshold value module, and circularly monitoring the electricity utilization data in real time;
s4, when the electricity utilization voltage exceeds the electricity utilization safety threshold value set in the electricity utilization threshold value module, the abnormal operation parameters are uploaded to the safety threshold value judgment module through the operation parameter acquisition module;
s5, secondarily judging whether the operation parameters are abnormal or not through the safety threshold judging module, determining which data are abnormal, and uploading the data to the terminal transmission early warning module and the regional equipment early warning module;
s6, activating a data terminal early warning module to perform early warning through a terminal transmission early warning module, and activating an early warning module of abnormal equipment to perform early warning through a regional equipment early warning module;
and S7, the running equipment termination module is used for terminating the running of the abnormal equipment.
In summary, according to the power dispatching system fault detection device and the detection method based on the big data, the running state of the power equipment can be judged in real time during use through the matching setting of the power utilization threshold value module and the safety threshold value judgment module, and the function of early warning for workers is achieved through the matching setting of the terminal transmission early warning module and the regional equipment early warning module, so that the workers can find abnormal conditions of the power equipment in time conveniently, and the function of timely stopping the abnormal power equipment is achieved through the setting of the running equipment stopping module during use.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (8)
1. The utility model provides a power dispatching system fault detection equipment and detection method based on big data, includes data terminal, power dispatching module, power consumption data acquisition module, power consumption threshold value module, operating parameter acquisition module, data transmission module, operating parameter acquisition module, safe threshold value judge module, terminal transmission early warning module, regional equipment early warning module and operating equipment termination module, its characterized in that: the data terminal is used for displaying real-time data of each power device and uploading the data to the power scheduling module.
2. The big data-based power dispatching system fault detection device and method according to claim 1, wherein: the power dispatching module is used for carrying out power dispatching on each user according to the demand data in the data terminal and uploading the power utilization data to the power utilization data acquisition module.
3. The big data-based power dispatching system fault detection device and method according to claim 1, wherein: the power consumption data acquisition module is used for receiving data and uploading the data to the power consumption threshold module, and the power consumption threshold module is preset with a power consumption safety threshold.
4. The big data-based power dispatching system fault detection equipment and method as claimed in claim 1, wherein: and when the power utilization voltage does not exceed the power utilization safety threshold value set in the power utilization threshold value module, the data are transmitted into the power utilization data acquisition module through the data transmission module, and the power utilization data are monitored in real time in a circulating manner.
5. The big data-based power dispatching system fault detection equipment and method as claimed in claim 1, wherein: and when the electricity utilization voltage exceeds the electricity utilization safety threshold value set in the electricity utilization threshold value module, the abnormal operation parameters are uploaded to the safety threshold value judgment module through the operation parameter acquisition module.
6. The big data-based power dispatching system fault detection device and method according to claim 1, wherein: and the safety threshold judging module is used for secondarily judging whether the operation parameters are abnormal or not, determining which data are abnormal and uploading the data to the terminal transmission early warning module and the regional equipment early warning module.
7. The big data-based power dispatching system fault detection device and method according to claim 1, wherein: the terminal transmission early warning module is used for activating the data terminal early warning module to perform early warning, and the regional equipment early warning module is used for activating the early warning module of abnormal equipment to perform early warning.
8. The big data-based power dispatching system fault detection device and method according to claim 1, wherein: the running equipment termination module is used for terminating the running of the abnormal equipment.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210197904.2A CN114662566A (en) | 2022-03-01 | 2022-03-01 | Power dispatching system fault detection equipment and detection method based on big data |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210197904.2A CN114662566A (en) | 2022-03-01 | 2022-03-01 | Power dispatching system fault detection equipment and detection method based on big data |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN114662566A true CN114662566A (en) | 2022-06-24 |
Family
ID=82027766
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202210197904.2A Pending CN114662566A (en) | 2022-03-01 | 2022-03-01 | Power dispatching system fault detection equipment and detection method based on big data |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN114662566A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116502843A (en) * | 2023-04-26 | 2023-07-28 | 国网黑龙江省电力有限公司齐齐哈尔供电公司 | Network safety protection system for big data |
-
2022
- 2022-03-01 CN CN202210197904.2A patent/CN114662566A/en active Pending
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116502843A (en) * | 2023-04-26 | 2023-07-28 | 国网黑龙江省电力有限公司齐齐哈尔供电公司 | Network safety protection system for big data |
| CN116502843B (en) * | 2023-04-26 | 2023-10-27 | 国网黑龙江省电力有限公司齐齐哈尔供电公司 | Network safety protection system for big data |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US10147148B2 (en) | Distributed energy power source control method, apparatus and system for providing loads with dynamic power distribution modes | |
| CN105680559A (en) | Substation DC system | |
| CN112003376A (en) | Distributed grid power quality on-line monitoring and management system | |
| CN108449051A (en) | A kind of monitoring device of photovoltaic power station, system and method | |
| CN112271720B (en) | Power grid control method and system containing wind power | |
| CN111007419A (en) | Transformer substation direct current system running state on-line monitoring system | |
| CN111342534A (en) | Storage battery discharge control system and control method thereof | |
| CN114662566A (en) | Power dispatching system fault detection equipment and detection method based on big data | |
| CN113676134B (en) | Photovoltaic power station AVC instruction abnormality judgment method and device | |
| CN214707179U (en) | Monitoring and safety control system for offshore wind power hydrogen production and energy storage system | |
| CN110687855A (en) | A safety distribution automation monitored control system for electric power trade | |
| CN204719920U (en) | DCS system tripping alarm device | |
| CN112350307B (en) | Control method and control device for regional power distribution network and computer readable storage medium | |
| CN109756024A (en) | A kind of Switching Power Supply monitoring device and its control method | |
| CN205622325U (en) | Remote intelligent power dispatching automation equipment examine monitoring system | |
| CN107390131B (en) | Integrated monitoring system for storage battery of transformer substation | |
| CN115864653A (en) | Remote inversion feed-type storage battery pack online capacity checking system and method | |
| CN213484584U (en) | Automatic change distribution system | |
| CN214506661U (en) | System based on low-voltage transformer area line loss rapid positioning | |
| CN110807602B (en) | Power dispatching system fault detection method based on big data | |
| CN111431281A (en) | Safe electricity utilization monitoring method and system | |
| CN209881494U (en) | Intelligent low-voltage photovoltaic anti-reverse power transmission monitoring control system | |
| CN102510070B (en) | Method for realizing automatic voltage closed-loop control of power plant by taking powder factor as control target | |
| CN111654110B (en) | Energy monitoring system applied to factory power distribution system | |
| CN110930015A (en) | Method and system for preventing large-scale power distribution network accidents |
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 |