CN109657836A - A kind of Power System Analysis method for early warning based on big data - Google Patents
A kind of Power System Analysis method for early warning based on big data Download PDFInfo
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- CN109657836A CN109657836A CN201811372500.2A CN201811372500A CN109657836A CN 109657836 A CN109657836 A CN 109657836A CN 201811372500 A CN201811372500 A CN 201811372500A CN 109657836 A CN109657836 A CN 109657836A
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- 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
- G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
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- 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
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- 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—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/06—Electricity, gas or water supply
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- 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
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D10/00—Energy efficient computing, e.g. low power processors, power management or thermal management
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- 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
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/80—Management or planning
- Y02P90/82—Energy audits or management systems therefor
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- 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
Abstract
The invention belongs to big data technical field and disclose a kind of Power System Analysis method for early warning based on big data, the following steps are included: step 1: establishing monitoring and warning knowledge base, it is integrated by the online monitoring data and off-line data that are collected into Energy Management System and phase angle measuring equipment, obtains the state of current Operation of Electric Systems in real time.The present invention may be implemented that grid power quality is dynamically analyzed and predicted, discovery power quality problem as early as possible and it can propose precautionary measures, to which the power quality for improving power grid comprehensively is horizontal, the preceding influence to its power quality and to operation of power networks can be accessed in load to assess, discovery has existed problem or potential risk in advance, it provides warning information and proposes corresponding precautionary measures, reduce influence of the electrical energy power quality disturbance to power transmission network, improve power grid security, economic operation level.
Description
Technical field
Present invention relates particularly to a kind of Power System Analysis method for early warning based on big data belongs to big data technology neck
Domain.
Background technique
Smart grid, refers to using the communication technology, with digital or analog signal detect with herd collection for, match, the electricity at each end
Power behaviour in service adjusts the production and transmission & distribution of electric power using a little information are sent, and realizes
The reasonable utilization of electric energy, power system power supply stability and economy improve, and are that the developing direction early warning of the following power grid is
A part of smart grid Premium Features.
Smart grid includes intelligent power transmission network and two aspect content of intelligent distribution network.Power distribution network typically refer to 110kv and with
The power grid of lower voltage class, is responsible for the function of directly powering to user, and contacting for power distribution network and user is most close, to power supply
The influence of reliability and power supply quality is also most direct, thus is in critical role in smart grid construction.But it is suitable in the past
In long a period of time, because of power generation, Transmission network investment great amount, failure effect is serious, and distribution system investment amount
Relatively small, the reason of failure can only also cause local influence, the degree of concern to distribution system is far below power generation, transmission of electricity
System.
Intelligent distribution network refers to obtains various information using technologies such as communication, measurement, sensings in real time, and various intelligences are set
Standby is hardware foundation, and the visual software for integrating advanced application function is core, to realize the monitoring, protection, control of power distribution network
System, is answered and self-healing optimization in advance, is believed in real time to provide high-quality reliable electric energy power distribution network early warning for user and refer to according to related
The operating status of breath tracking power grid is completed to analyze the security risk of power distribution network to the security evaluation of power distribution network and element, will be abnormal
Information carries out early warning to dispatcher, facilitates the implementation of relevant treatment measure, and security risk is solved in budding state.But by
The reason described in the preceding paragraph, current electric system is answered to lay particular emphasis in advance and be answered whole bulk power grid and the pre- of power transmission network, to power distribution network
Early warning concern is less.
Summary of the invention
The technical problem to be solved in the present invention overcomes existing defect, provides a kind of Power System Analysis based on big data
Method for early warning may be implemented that grid power quality is dynamically analyzed and predicted, can discovery power quality problem as early as possible
And propose precautionary measures, so that the power quality for improving power grid comprehensively is horizontal, can before load accesses to its power quality with
And the influence to operation of power networks is assessed, discovery has existed problem or potential risk in advance, provides warning information and proposes
Corresponding precautionary measures reduce influence of the electrical energy power quality disturbance to power transmission network, improve power grid security, economic operation level, can be with
Effectively solve the problems in background technique.
In order to solve the above-mentioned technical problems, the present invention provides the following technical solutions:
The present invention provides a kind of Power System Analysis method for early warning based on big data, comprising the following steps:
Step 1: establishing monitoring and warning knowledge base, passes through the online prison being collected into Energy Management System and phase angle measuring equipment
Measured data and off-line data are integrated, and obtain the state of current Operation of Electric Systems in real time；
Step 2: by power supply company's center EMS system, obtaining required External network model, to match interior pessimistic concurrency control, needs
Equivalence Operation processing is carried out, when selecting Equivalence Operation method, static security analysis, transient security analysis should be implemented according to system
Comprehensively considered with the composite request of Voltage Stability Analysis；
Step 3: Real time data acquisition can filter out in transmission process from real-time Transmission in data acquisition and monitoring information system
Unnecessary data retain valid data, and identify effective electric network model parameter, then obtain operation of power networks state, and according to
Data construct an interior pessimistic concurrency control, while there are certain requirements to precision；
Step 4: matching Intranet real-time model and outer net off-line model construct final reconstruction model, ensure in matching process interior
Mesh portions it is in stable condition, and gradually adjust and outer net generator and meet parameter, it is ensured that actual parameter Proper Match；
Step 5: warning index is calculated, and is compared the out-of-limit situation for obtaining each index with the limit value in early warning knowledge base；
Step 5: according to warning index calculated result and out-of-limit situation, the rule in early warning knowledge base is matched, identification failure is former
Cause；
Step 6: the counte-rplan for most matching current failure reason event are hunted out from early warning knowledge base.
It further include visual control, if system encounters emergency case as a preferred technical solution of the present invention
Early warning can be started immediately, just will appear early warning, and visual control circle on visual control graphic display interface at this time
Face can select different grades of alarm mode for different degrees of emergency case.
As a preferred technical solution of the present invention, the alarm mode is divided into five kinds of different warning levels, respectively
Non-hazardous warning is indicated for green, and abnormal blue alarm, pre- fragrant, the clear color early warning of yellow, red early warning are with darkening
System alert levels are also continuously improved.
As a preferred technical solution of the present invention, the alarm mode can also describe difference using percentage pie chart
Alarm condition, grade classification then can run concrete condition according to system to determine, monitor multiple early warning simultaneously with cake chart
Situation, if electric system is in failure-free operation state, graphic display system safety；If it find that there is event in electric system
Hinder hidden danger or threat, then corresponding solution and countermeasure can be provided, visualization system periodic scanning systematic failures information,
Scanning result is exported using graphic display mode.
The beneficial effects obtained by the present invention are as follows being: it may be implemented that grid power quality is dynamically analyzed and predicted,
Discovery power quality problem as early as possible and it can propose precautionary measures, so that the power quality for improving power grid comprehensively is horizontal, Neng Gou
Influence before load access to its power quality and to operation of power networks is assessed, and discovery has existed problem or potential in advance
Hidden danger provides warning information and proposes corresponding precautionary measures, reduces influence of the electrical energy power quality disturbance to power transmission network, improves power grid
Safe and economical operation is horizontal.
Specific embodiment
Hereinafter, preferred embodiments of the present invention will be described, it should be understood that preferred embodiment described herein is only used
In the description and interpretation present invention, it is not intended to limit the present invention.
A kind of embodiment: Power System Analysis method for early warning based on big data of the present invention, comprising the following steps:
Step 1: establishing monitoring and warning knowledge base, passes through the online prison being collected into Energy Management System and phase angle measuring equipment
Measured data and off-line data are integrated, and obtain the state of current Operation of Electric Systems in real time；
Step 2: by power supply company's center EMS system, obtaining required External network model, to match interior pessimistic concurrency control, needs
Equivalence Operation processing is carried out, when selecting Equivalence Operation method, static security analysis, transient security analysis should be implemented according to system
Comprehensively considered with the composite request of Voltage Stability Analysis；
Step 3: Real time data acquisition can filter out in transmission process from real-time Transmission in data acquisition and monitoring information system
Unnecessary data retain valid data, and identify effective electric network model parameter, then obtain operation of power networks state, and according to
Data construct an interior pessimistic concurrency control, while there are certain requirements to precision；
Step 4: matching Intranet real-time model and outer net off-line model construct final reconstruction model, ensure in matching process interior
Mesh portions it is in stable condition, and gradually adjust and outer net generator and meet parameter, it is ensured that actual parameter Proper Match；
Step 5: warning index is calculated, and is compared the out-of-limit situation for obtaining each index with the limit value in early warning knowledge base；
Step 5: according to warning index calculated result and out-of-limit situation, the rule in early warning knowledge base is matched, identification failure is former
Cause；
Step 6: the counte-rplan for most matching current failure reason event are hunted out from early warning knowledge base.
Further, further include visual control, if system encounters emergency case and will start early warning immediately, at this time may be used
It just will appear early warning on monitoring pattern display interface depending on changing, and visual control interface can dash forward for different degrees of
Heat condition selects different grades of alarm mode.
Further, the alarm mode is divided into five kinds of different warning levels, and respectively green indicates non-hazardous warning,
Abnormal blue alarm, pre- fragrant, the clear color early warning of yellow, red early warning, with darkening, system alarm rank is also continuously improved.
Further, the alarm mode can also describe different alarm conditions using percentage pie chart, and grade classification is then
Concrete condition can be run according to system to determine, multiple early warning situations are monitored simultaneously with cake chart, if at electric system
In failure-free operation state, then graphic display system is safe；If it find that electric system then may be used there are potential faults or threat
To provide corresponding solution and countermeasure, visualization system periodic scanning systematic failures information will using graphic display mode
Scanning result output.
It should be noted that the present invention is a kind of Power System Analysis method for early warning based on big data, in use, can be with
Realization is dynamically analyzed and is predicted to grid power quality, discovery power quality problem as early as possible and can propose to prevent to arrange
It applies, so that the power quality for improving power grid comprehensively is horizontal, it can be before load accesses to its power quality and to operation of power networks
Influence assessed, discovery has existed problem or potential risk in advance, provides warning information and proposes that corresponding prevention is arranged
It applies, reduces influence of the electrical energy power quality disturbance to power transmission network, improve power grid security, economic operation level.
Finally, it should be noted that the foregoing is only a preferred embodiment of the present invention, it is not intended to restrict the invention,
Although the present invention is described in detail referring to the foregoing embodiments, for those skilled in the art, still may be used
To modify the technical solutions described in the foregoing embodiments or equivalent replacement of some of the technical features.
All within the spirits and principles of the present invention, any modification, equivalent replacement, improvement and so on should be included in of the invention
Within protection scope.
Claims (4)
1. a kind of Power System Analysis method for early warning based on big data, it is characterised in that: the following steps are included:
Step 1: establishing monitoring and warning knowledge base, passes through the online prison being collected into Energy Management System and phase angle measuring equipment
Measured data and off-line data are integrated, and obtain the state of current Operation of Electric Systems in real time；
Step 2: by power supply company's center EMS system, obtaining required External network model, to match interior pessimistic concurrency control, needs
Equivalence Operation processing is carried out, when selecting Equivalence Operation method, static security analysis, transient security analysis should be implemented according to system
Comprehensively considered with the composite request of Voltage Stability Analysis；
Step 3: Real time data acquisition can filter out in transmission process from real-time Transmission in data acquisition and monitoring information system
Unnecessary data retain valid data, and identify effective electric network model parameter, then obtain operation of power networks state, and according to
Data construct an interior pessimistic concurrency control, while there are certain requirements to precision；
Step 4: matching Intranet real-time model and outer net off-line model construct final reconstruction model, ensure in matching process interior
Mesh portions it is in stable condition, and gradually adjust and outer net generator and meet parameter, it is ensured that actual parameter Proper Match；
Step 5: warning index is calculated, and is compared the out-of-limit situation for obtaining each index with the limit value in early warning knowledge base；
Step 5: according to warning index calculated result and out-of-limit situation, the rule in early warning knowledge base is matched, identification failure is former
Cause；
Step 6: the counte-rplan for most matching current failure reason event are hunted out from early warning knowledge base.
2. a kind of Power System Analysis method for early warning based on big data as described in claim 1, it is characterised in that: further include
Visual control, if system encounters emergency case and will start early warning immediately, at this time on visual control graphic display interface
It just will appear early warning, and visual control interface can be different grades of pre- for different degrees of emergency case selection
Police's formula.
3. a kind of Power System Analysis method for early warning based on big data as described in benefit requires 2, it is characterised in that: the early warning
Mode is divided into five kinds of different warning levels, and respectively green indicates non-hazardous warning, and abnormal blue alarm, yellow are pre- fragrant, clear
Color early warning, red early warning, with darkening, system alarm rank is also continuously improved.
4. a kind of Power System Analysis method for early warning based on big data as described in benefit requires 2, it is characterised in that: the early warning
Mode can also describe different alarm conditions using percentage pie chart, grade classification can then be run according to system concrete condition come
It determines, multiple early warning situations is monitored simultaneously with cake chart, if electric system is in failure-free operation state, graphical display
System safety；If it find that there are potential faults or threats for electric system, then corresponding solution and countermeasure can be provided,
Visualization system periodic scanning systematic failures information, is exported scanning result using graphic display mode.
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| CN201811372500.2A CN109657836A (en) | 2018-11-19 | 2018-11-19 | A kind of Power System Analysis method for early warning based on big data |
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Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110380406A (en) * | 2019-07-04 | 2019-10-25 | 深圳市朝阳辉电气设备有限公司 | A kind of control method and system of power supply system |
| CN112311094A (en) * | 2020-10-29 | 2021-02-02 | 国网内蒙古东部电力有限公司经济技术研究院 | Online analysis processing method for big data of power grid |
| CN112991092A (en) * | 2021-02-08 | 2021-06-18 | 福建省亿力信息技术有限公司 | Power protection and supply early warning information analysis method based on knowledge graph technology |
| CN113128840A (en) * | 2021-03-24 | 2021-07-16 | 国网湖北省电力有限公司 | Equipment state evaluation method, system and storage medium |
| CN113447764A (en) * | 2021-08-09 | 2021-09-28 | 安徽恒凯电力保护设备有限公司 | Intelligent monitoring and fault control method applied to power grid |
| CN114519923A (en) * | 2021-11-24 | 2022-05-20 | 新疆天池能源有限责任公司 | Intelligent diagnosis and early warning method and system for power plant |
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| CN103647276A (en) * | 2013-12-10 | 2014-03-19 | 国家电网公司 | Electric energy quality early warning system and method thereof |
| CN105305444A (en) * | 2015-11-30 | 2016-02-03 | 国网浙江省电力公司绍兴供电公司 | Distribution network intelligent alarm and processing method based on integrated allocation |
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Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN103647276A (en) * | 2013-12-10 | 2014-03-19 | 国家电网公司 | Electric energy quality early warning system and method thereof |
| CN105305444A (en) * | 2015-11-30 | 2016-02-03 | 国网浙江省电力公司绍兴供电公司 | Distribution network intelligent alarm and processing method based on integrated allocation |
Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110380406A (en) * | 2019-07-04 | 2019-10-25 | 深圳市朝阳辉电气设备有限公司 | A kind of control method and system of power supply system |
| CN112311094A (en) * | 2020-10-29 | 2021-02-02 | 国网内蒙古东部电力有限公司经济技术研究院 | Online analysis processing method for big data of power grid |
| CN112991092A (en) * | 2021-02-08 | 2021-06-18 | 福建省亿力信息技术有限公司 | Power protection and supply early warning information analysis method based on knowledge graph technology |
| CN112991092B (en) * | 2021-02-08 | 2023-09-12 | 福建省亿力信息技术有限公司 | Power-saving early warning information analysis method based on knowledge graph technology |
| CN113128840A (en) * | 2021-03-24 | 2021-07-16 | 国网湖北省电力有限公司 | Equipment state evaluation method, system and storage medium |
| CN113128840B (en) * | 2021-03-24 | 2024-02-20 | 国网湖北省电力有限公司 | Equipment state evaluation method, system and storage medium |
| CN113447764A (en) * | 2021-08-09 | 2021-09-28 | 安徽恒凯电力保护设备有限公司 | Intelligent monitoring and fault control method applied to power grid |
| CN114519923A (en) * | 2021-11-24 | 2022-05-20 | 新疆天池能源有限责任公司 | Intelligent diagnosis and early warning method and system for power plant |
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