CN106597225A - Distribution network on-line state monitoring system and on-line monitoring method thereof - Google Patents

Distribution network on-line state monitoring system and on-line monitoring method thereof Download PDF

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Publication number
CN106597225A
CN106597225A CN201611189199.2A CN201611189199A CN106597225A CN 106597225 A CN106597225 A CN 106597225A CN 201611189199 A CN201611189199 A CN 201611189199A CN 106597225 A CN106597225 A CN 106597225A
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data
state
distribution network
quality
analysis
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CN106597225B (en
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徐强
郑燕飞
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ANHUI ZHONGXING JIYUAN INFORMATION TECHNOLOGY CO LTD
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ANHUI ZHONGXING JIYUAN INFORMATION TECHNOLOGY CO LTD
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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/08Locating faults in cables, transmission lines, or networks
    • G01R31/081Locating faults in cables, transmission lines, or networks according to type of conductors
    • G01R31/086Locating faults in cables, transmission lines, or networks according to type of conductors in power transmission or distribution networks, i.e. with interconnected conductors
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/08Locating faults in cables, transmission lines, or networks
    • G01R31/088Aspects of digital computing

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  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Engineering & Computer Science (AREA)
  • Mathematical Physics (AREA)
  • Theoretical Computer Science (AREA)
  • Remote Monitoring And Control Of Power-Distribution Networks (AREA)

Abstract

The invention relates to a distribution network on-line state monitoring system and an on-line monitoring method thereof. Compared with the prior art, the problem that original data of a distribution network cannot be monitored effectively is solved. The method comprises the following steps: state quantity acquisition: acquiring the state quantity of distribution network equipment from a distribution network system; state quantity analysis: processing the state quantity data according to the state quantity format requirement, analyzing analog quantity, state quantity and non-measured data, processing multiple data sources, making a data quality code configuration analysis, and carrying out statistical calculation; and alarm information output: outputting state quantity alarm information according to the deducted score value of state quantity. According to the invention, data of multiple pieces of substation high-voltage equipment can be monitored in real time by multiple servers by means of hierarchical management.

Description

A kind of power distribution network on-line condition monitoring system and its on-line monitoring method
Technical field
The present invention relates to power distribution network areas of information technology, specifically a kind of power distribution network on-line condition monitoring system and its On-line monitoring method.
Background technology
With the development and the rapid lifting of controller switching equipment quality of distribution scale, distribution net equipment periodic inspection pattern is It is not suitable with the management requirement of electrical network and equipment.Each net provincial company has been carried out successively distribution repair based on condition of component and has been attempted according to practical situation. The provincial companies such as Hebei, Shandong, Jiangsu, Zhejiang, Hubei have carried out the pilot work of distribution repair based on condition of component.
For the management of specification distribution repair based on condition of component, it is ensured that distribution safe and reliable operation, current electric grid management needs, state are adapted to Family's grid company determines to carry out the work of distribution repair based on condition of component.The main contents of distribution repair based on condition of component work include information, shape State evaluation, Strategies of Maintenance, repair schedule, maintenance are implemented, are evaluated and six aspects of examination.The evaluation information source base of equipment state In patrolling and examining and the status information such as routine test, diagnostic test, live detection, on-line monitoring, bad condition.Equipment state is evaluated Comprehensive phenomenon intensity, value size and development trend, make state value judgement.
To adapt to the requirement of distribution repair based on condition of component Automation Construction and operation, distribution repair based on condition of component automatization and standard are lifted Change and require, on the premise of country, state's network mark standard is met, future development needs are met, in national grid《Distribution net equipment state is examined Repair testing regulationss》、《Distribution net equipment repair based on condition of component directive/guide》With《Distribution net equipment state evaluation directive/guide》On the basis of, increase and set for distribution The method that standby Condition-based maintenance system provides initial data, in time, completely, exactly for distribution net equipment Condition-based maintenance system provides base Plinth data, so as to provide support, enterprise maintenance automatization, collection for the analysis of each link of distribution net equipment repair based on condition of component, decision-making Reduction, lean and standardized management level.
Therefore, how to circuit on power system, transformator, bus, the position of the switch, isolation switch, grounding switch position, guarantor Protect hard contact state and distant place control is thrown a series of status datas such as bounce number and carries out effectively monitoring having become and is badly in need of solving Technical problem.
The content of the invention
The invention aims to solve cannot to be carried out power distribution network initial data in prior art effective monitoring lack Fall into, there is provided a kind of power distribution network on-line condition monitoring system and its on-line monitoring method are solving the above problems.
To achieve these goals, technical scheme is as follows:
A kind of power distribution network on-line condition monitoring system, including:Quantity of state acquisition module, data processing module, quantity of state early warning are defeated Go out module,
Described quantity of state acquisition module is used for the data type of the various quantity of states to power distribution network carries out data acquisition, will gather To state quantity data send data processing module to and carry out concentration analysis, data acquisition adopts periodicity acquisition modes, data Acquisition interface meets IEC61970 standards or IEC61968 standards, and the communication protocol of data acquisition is DL/T 634;
Described data processing module is used for lattice of the state quantity data to obtaining from quantity of state acquisition module by quantity of state requirement Formula is processed, including analog quantity analysis, quantity of state analysis, the analysis of non-measured data, multi-data source process, quality of data code division Analysis, statistical computation are processed, and are deducted points according to assessment guidelines, and according to quantity of state score value and alarming threshold alarm output characteristic is produced Amount, by quantity of state early warning output module outputting alarm information, provides corresponding evaluation state;
Described quantity of state early warning output module is used for the concrete condition according to deduction of points value, output state amount warning information.
Described data type includes:Equipment running status data, exception and failure preload state before exception and failure Data, switch motion situation and tripping times, protection act status data, single-phase earthing status data, overload, three-phase are uneven Weighing apparatus status data, temperature data, temperature rise data, local discharge signal value.
A kind of on-line monitoring method of power distribution network on-line condition monitoring system, comprises the following steps:
Quantity of state is obtained, distribution net equipment quantity of state is obtained from distribution network system;
The analyzing and processing of quantity of state, is processed state quantity data according to quantity of state call format, analog quantity is analyzed, Quantity of state is analyzed, non-measured data is analyzed, multi-data source is processed, quality of data code carries out Allocation Analysis, enter Row statistical computation is processed;
The output of warning information, according to the situation of quantity of state deduction of points value, output state amount warning information.
Described analog quantity is analyzed and comprises the following steps:
Extract the active, idle of primary equipment, electric current, magnitude of voltage, oil temperature and the main shift analogue value;
Validity check and data filtering are carried out to the simulation Value Data of primary equipment;
Zero-drifting processing is carried out to the simulation Value Data of primary equipment;
Limit value inspection is carried out to the simulation Value Data of primary equipment;
Limit value inspection is carried out to the analogue value data variation rate of primary equipment, when the change in analog quantity at the appointed time section exceedes During specified threshold, alarm is given.
Described quantity of state is analyzed and comprises the following steps:
Status values setting is carried out to the quantity of state of power distribution network, is represented using 1 bit, 1 represents combined floodgate, and 0 represents separating brake;
Dibit remote signalling data is analyzed, suspicious mark is made to illegal state;
Remote signalling data by mistake is monitored, to shaking remote signalling state suspicious mark is made;
Action timing to protection signal is monitored, the non-involution in setting time after protection act, then report time-out alarm;
Action metering to protection signal is monitored, and when protection act number of times exceedes limit value in setting time, then reports super secondary Alarm.
Described multi-data source carries out process and comprises the following steps:
Plausibility check is carried out for the multi-source data of same observation station;
Judgement is carried out to the multi-source data after plausibility check and selects excellent, its judgement selects excellent method as follows:
The source points and priority of measuring point are specified in definition;
Selected excellent automatically according to the quality of data code of measuring point, to selecting excellent result to identify plus Data Source;
Using state quantity data as post data source, when the quality of data code of measuring point fails, at state quantity data Reason;
Optimal data is put into into real-time data base.
Described quality of data code carries out Allocation Analysis and comprises the following steps:
To analog quantity and the equal configuration data Quality Codes classification of quantity of state;
No initializtion data in record analog quantity and quantity of state, data-in Quality Codes;
Unreasonable data in record analog quantity and quantity of state, data-in Quality Codes;
Record analog quantity and quantity of state are fallen into a trap the evidence that counts, data-in Quality Codes;
Measured data in record analog quantity and quantity of state, data-in Quality Codes;
Data, data-in Quality Codes are interrupted in collection in record analog quantity and quantity of state;
Artificial data in record analog quantity and quantity of state, data-in Quality Codes.
Beneficial effect
A kind of power distribution network on-line condition monitoring system and its on-line monitoring method of the present invention, can realize compared with prior art To multiple high voltage device of transformer station, the monitor in real time of data is carried out using the administration by different levels system form of multiple servers.Promote Pilot system that on-line monitoring system isolates from traditional sense, static is transitioned into global, networking, intelligentized Comprehensive state monitoring, diagnosis and and service management system.Instant invention overcomes the blindness of periodic maintenance, reduce maintenance time Count, reduce cost of overhaul use, delayed the time between overhauls(TBO) to greatest extent, be that power system operating administration really realizes state Maintenance, and then the safety of the operation rate and electrical network for improving equipment provides powerful technical platform.
Description of the drawings
Fig. 1 is the structure catenation principle block diagram of the present invention;
Fig. 2 is method of the present invention precedence diagram.
Specific embodiment
Effect to make the architectural feature to the present invention and reached has a better understanding and awareness, to preferably Embodiment and accompanying drawing coordinate detailed description, are described as follows:
As shown in figure 1, a kind of power distribution network on-line condition monitoring system of the present invention, including:Quantity of state acquisition module, data Processing module, quantity of state early warning output module.
Quantity of state acquisition module is used for the data type of the various quantity of states to power distribution network carries out data acquisition, will collect State quantity data send data processing module to and carry out concentration analysis, data acquisition adopts periodicity acquisition modes, data to adopt Collection interface meets IEC61970 standards or IEC61968 standards, and the communication protocol of data acquisition is DL/T 634;Its support is various Communication modes(Such as optical fiber, carrier wave, wireless)Information access and forwarding capability.Error detection function is also equipped with, can be to receiving Data carry out error condition and check and carry out respective handling;Possess the monitoring of communication port operating condition, statistics, report to the police and manage Function.
Data processing module is used for form of the state quantity data to obtaining from quantity of state acquisition module by quantity of state requirement Processed, including analog quantity analysis, quantity of state analysis, the analysis of non-measured data, multi-data source process, quality of data code division Analysis, statistical computation are processed, and are deducted points according to assessment guidelines, and according to quantity of state score value and alarming threshold alarm output characteristic is produced Amount, by quantity of state early warning output module outputting alarm information, provides corresponding evaluation state.Here, data type includes:It is different Equipment running status data, exception and failure preload status data, switch motion situation and tripping times, guarantor before normal and failure Shield operating state data, single-phase earthing status data, overload, three-phase imbalance state data, temperature data, temperature rise data, Local discharge signal value.
Quantity of state early warning output module is used for the concrete condition according to deduction of points value, output state amount warning information.Alarm door Limit value can be defined and configured, and alarm mode can also be defined and configured.Alarm mode support window is logged in, voice broadcast, is accused Alert event supports historical query.Can temporally, the inquiry such as device type, quantity of state type, event type.
As shown in Fig. 2 a kind of on-line monitoring method of power distribution network on-line condition monitoring system of the present invention, including with Lower step:
The first step, obtains quantity of state, distribution net equipment quantity of state is obtained from distribution network system, for being analyzed process.
Second step, the analyzing and processing of quantity of state.State quantity data is processed according to quantity of state call format, to simulation Amount is analyzed, quantity of state is analyzed, non-measured data is analyzed, multi-data source is processed, quality of data code is carried out Allocation Analysis, carry out statistical computation process.
Wherein analog quantity is analyzed and comprises the following steps:
(1)Extract primary equipment(Circuit, transformator, bus, switch etc.)Active, idle, electric current, magnitude of voltage, oil temperature with And the main shift analogue value.
(2)Validity check and data filtering are carried out to the simulation Value Data of primary equipment.
(3)Zero-drifting processing is carried out to the simulation Value Data of primary equipment, the drift parameter of analog quantity may also set up.
(4)Limit value inspection is carried out to the simulation Value Data of primary equipment, supports that different periods use different limit values.
(5)Limit value inspection is carried out to the analogue value data variation rate of primary equipment, when in analog quantity at the appointed time section When change exceedes specified threshold, alarm is given.
Quantity of state is analyzed includes the position of the switch, isolation switch, grounding switch position, guard mode and far to process Side's control throws other various semaphores such as bounce in interior quantity of state.It is comprised the following steps:
(1)Status values setting is carried out to the quantity of state of power distribution network, is represented using 1 bit, 1 represents combined floodgate(Action/throwing Enter), 0 represents separating brake(Involution/exit).
(2)Dibit remote signalling data is analyzed, suspicious mark is made to illegal state.
(3)Remote signalling data by mistake is monitored, to shaking remote signalling state suspicious mark is made.
(4)Action timing to protection signal is monitored, the non-involution in setting time after protection act, then report time-out Alarm.
(5)Action metering to protection signal is monitored, when protection act number of times exceedes limit value in setting time, then The super secondary alarm of report.
Wherein, non-measured data process can by being manually entered also by being calculated, with Quality Codes mark, and with actual measurement number According to possessing identical data processing function.
Wherein, multi-data source carries out process and possesses multi-source data treatment technology, and the multi-source data of same observation station is closed meeting Rationality verification Jing judge select it is excellent after optimal result is put into into real-time data base, there is provided use to other application function, it include with Lower step:
(1)Plausibility check is carried out for the multi-source data of same observation station.
(2)Judgement is carried out to the multi-source data after plausibility check and selects excellent, its judgement selects excellent method as follows:
A, definition specify the source points and priority of measuring point.
B, selected excellent automatically according to the quality of data code of measuring point, to selecting excellent result to identify plus Data Source.
C, using state quantity data as post data source, when the quality of data code of measuring point fails, from state quantity data Processed.
(3)Optimal data is put into into real-time data base, is used with supplying other application function.
Wherein, quality of data code carries out Allocation Analysis and comprises the following steps:
(1)Equal data Quality Codes classification is configured to analog quantity and quantity of state.
(2)No initializtion data in record analog quantity and quantity of state, data-in Quality Codes.
(3)Unreasonable data in record analog quantity and quantity of state, data-in Quality Codes.
(4)Record analog quantity and quantity of state are fallen into a trap the evidence that counts, data-in Quality Codes.
(5)Measured data in record analog quantity and quantity of state, data-in Quality Codes.
(6)Data, data-in Quality Codes are interrupted in collection in record analog quantity and quantity of state.
(7)Artificial data in record analog quantity and quantity of state, data-in Quality Codes.
Here, statistical computation function supports statistical computation, Various types of data should be able to be united according to the needs of management and running Meter, there is provided statistical result, main statistical function includes:Numerical statistic:Including maximum, minima, meansigma methodss, it is total it is value added, Rate of load condensate, statistical time range include year, month, day, when etc.;Statistics of extremes:Including maximum value minimum, statistical time range include year, The moon, day, when etc.;Number of times is counted:Including switch changed position number of times, remote control number of times etc.;Accuracy is counted:Can the positive remote control accuracy of statistics Accuracy is conjugated with remote signalling;Qualification rate is counted:Threshold crossing time, qualification rate statistics can be carried out to the amount that the users such as voltage specify, is closed Lattice rate can be counted at times, and user can set multiple limit value for different periods;Power failure equipments are counted:Statistics power failure range, And can inquire about by condition stubs such as plant stand, device types;Operating condition is counted:Can correctly count the idle time distribution terminal moon, Stoppage in transit number of times.
3rd step, the output of warning information.According to the situation of quantity of state deduction of points value, output state amount warning information.
Ultimate principle, principal character and the advantages of the present invention of the present invention has been shown and described above.The technology of the industry The simply present invention of the personnel it should be appreciated that the present invention is not restricted to the described embodiments, described in above-described embodiment and description Principle, without departing from the spirit and scope of the present invention the present invention also have various changes and modifications, these change and Improvement is both fallen within the range of claimed invention.The protection domain of application claims by appending claims and its Equivalent is defined.

Claims (7)

1. a kind of power distribution network on-line condition monitoring system, including:Quantity of state acquisition module, data processing module, quantity of state early warning Output module, it is characterised in that:
Described quantity of state acquisition module is used for the data type of the various quantity of states to power distribution network carries out data acquisition, will gather To state quantity data send data processing module to and carry out concentration analysis, data acquisition adopts periodicity acquisition modes, data Acquisition interface meets IEC61970 standards or IEC61968 standards, and the communication protocol of data acquisition is DL/T 634;
Described data processing module is used for lattice of the state quantity data to obtaining from quantity of state acquisition module by quantity of state requirement Formula is processed, including analog quantity analysis, quantity of state analysis, the analysis of non-measured data, multi-data source process, quality of data code division Analysis, statistical computation are processed, and are deducted points according to assessment guidelines, and according to quantity of state score value and alarming threshold alarm output characteristic is produced Amount, by quantity of state early warning output module outputting alarm information, provides corresponding evaluation state;
Described quantity of state early warning output module is used for the concrete condition according to deduction of points value, output state amount warning information.
2. a kind of power distribution network on-line condition monitoring system according to claim 1, it is characterised in that described data type Including:Equipment running status data, exception and failure preload status data, switch motion situation and tripping operation before exception and failure Number of times, protection act status data, single-phase earthing status data, overload, three-phase imbalance state data, temperature data, temperature Rise data, local discharge signal value.
3. the on-line monitoring method of a kind of power distribution network on-line condition monitoring system according to claim 1, it is characterised in that Comprise the following steps:
31)Quantity of state is obtained, distribution net equipment quantity of state is obtained from distribution network system;
32)The analyzing and processing of quantity of state, is processed state quantity data according to quantity of state call format, analog quantity is carried out point Analysis, quantity of state is analyzed, non-measured data is analyzed, multi-data source is processed, quality of data code carries out Allocation Analysis, Carry out statistical computation process;
33)The output of warning information, according to the situation of quantity of state deduction of points value, output state amount warning information.
4. the on-line monitoring method of a kind of power distribution network on-line condition monitoring system according to claim 3, it is characterised in that Described analog quantity is analyzed and comprises the following steps:
41)Extract the active, idle of primary equipment, electric current, magnitude of voltage, oil temperature and the main shift analogue value;
42)Validity check and data filtering are carried out to the simulation Value Data of primary equipment;
43)Zero-drifting processing is carried out to the simulation Value Data of primary equipment;
44)Limit value inspection is carried out to the simulation Value Data of primary equipment;
45)Limit value inspection is carried out to the analogue value data variation rate of primary equipment, the change in analog quantity at the appointed time section During more than specified threshold, alarm is given.
5. the on-line monitoring method of a kind of power distribution network on-line condition monitoring system according to claim 3, it is characterised in that Described quantity of state is analyzed and comprises the following steps:
51)Status values setting is carried out to the quantity of state of power distribution network, is represented using 1 bit, 1 represents combined floodgate, 0 expression point Lock;
52)Dibit remote signalling data is analyzed, suspicious mark is made to illegal state;
53)Remote signalling data by mistake is monitored, to shaking remote signalling state suspicious mark is made;
54)Action timing to protection signal is monitored, the non-involution in setting time after protection act, then report time-out to accuse It is alert;
55)Action metering to protection signal is monitored, and when protection act number of times exceedes limit value in setting time, then reports super Secondary alarm.
6. the on-line monitoring method of a kind of power distribution network on-line condition monitoring system according to claim 3, it is characterised in that Described multi-data source carries out process and comprises the following steps:
61)Plausibility check is carried out for the multi-source data of same observation station;
62)Judgement is carried out to the multi-source data after plausibility check and selects excellent, its judgement selects excellent method as follows:
621)The source points and priority of measuring point are specified in definition;
622)Selected excellent automatically according to the quality of data code of measuring point, to selecting excellent result to identify plus Data Source;
623)Using state quantity data as post data source, when the quality of data code of measuring point fails, entered from state quantity data Row is processed;
63)Optimal data is put into into real-time data base.
7. the on-line monitoring method of a kind of power distribution network on-line condition monitoring system according to claim 3, it is characterised in that Described quality of data code carries out Allocation Analysis and comprises the following steps:
71)To analog quantity and the equal configuration data Quality Codes classification of quantity of state;
72)No initializtion data in record analog quantity and quantity of state, data-in Quality Codes;
73)Unreasonable data in record analog quantity and quantity of state, data-in Quality Codes;
74)Record analog quantity and quantity of state are fallen into a trap the evidence that counts, data-in Quality Codes;
75)Measured data in record analog quantity and quantity of state, data-in Quality Codes;
76)Data, data-in Quality Codes are interrupted in collection in record analog quantity and quantity of state;
77)Artificial data in record analog quantity and quantity of state, data-in Quality Codes.
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Cited By (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107591787A (en) * 2017-11-06 2018-01-16 国网河南省电力公司登封市供电公司 A kind of distribution protection module failure monitoring method
CN108493955A (en) * 2018-05-09 2018-09-04 北京国网普瑞特高压输电技术有限公司 A kind of series compensation device with real-time state monitoring integrated platform
CN108512231A (en) * 2018-05-09 2018-09-07 北京国网普瑞特高压输电技术有限公司 A kind of data processing method of the status monitoring integrated platform based on IEC61850 agreements
CN108551209A (en) * 2018-05-09 2018-09-18 北京国网普瑞特高压输电技术有限公司 A kind of operation method of the status monitoring integrated platform based on IEC61850 agreements
CN108896100A (en) * 2018-05-09 2018-11-27 北京国网普瑞特高压输电技术有限公司 A kind of capacitor group status monitoring subsystem
CN110727725A (en) * 2019-09-26 2020-01-24 广西电网有限责任公司电力科学研究院 Data interface based on distribution network operating efficiency monitoring and analysis
CN113346621A (en) * 2021-06-16 2021-09-03 贵州电网有限责任公司 Electric power monitoring system equipment alarm signal change early warning method
CN114204686A (en) * 2021-12-14 2022-03-18 辽宁生态工程职业学院 Power distribution network power distribution state monitoring system and monitoring method thereof
CN114296009A (en) * 2022-03-10 2022-04-08 山东汇能电气有限公司 Intelligent analysis system for transformer operation

Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101887547A (en) * 2010-06-30 2010-11-17 广西电网公司电力科学研究院 Assistant decision system for condition-based maintenance and risk evaluation of power transmission and transformation equipment
CN101951025A (en) * 2010-08-19 2011-01-19 中国海洋石油总公司 Energy management system of offshore grid
CN102938587A (en) * 2012-12-10 2013-02-20 上海市电力公司 Intelligent power grid safety and stability early-warning and control method
CN103149475A (en) * 2013-02-05 2013-06-12 广东电网公司 Method and system for fault diagnosis of electrical equipment
CN103163389A (en) * 2011-12-08 2013-06-19 沈阳工业大学 Intelligent bus on-line monitoring and condition evaluation system
CN103325074A (en) * 2013-06-26 2013-09-25 广东电网公司佛山供电局 Electric system real-time data processing method
CN104578411A (en) * 2014-12-23 2015-04-29 国电南瑞科技股份有限公司 Multi-source data safety verification and failure locking method after PMU (Phasor Measurements Units) data's accessing to AGC (Automatic Generation Control)
CN104638764A (en) * 2015-01-22 2015-05-20 国家电网公司 Intelligent state diagnosis and overhauling system for power distribution network equipment

Patent Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101887547A (en) * 2010-06-30 2010-11-17 广西电网公司电力科学研究院 Assistant decision system for condition-based maintenance and risk evaluation of power transmission and transformation equipment
CN101951025A (en) * 2010-08-19 2011-01-19 中国海洋石油总公司 Energy management system of offshore grid
CN103163389A (en) * 2011-12-08 2013-06-19 沈阳工业大学 Intelligent bus on-line monitoring and condition evaluation system
CN102938587A (en) * 2012-12-10 2013-02-20 上海市电力公司 Intelligent power grid safety and stability early-warning and control method
CN103149475A (en) * 2013-02-05 2013-06-12 广东电网公司 Method and system for fault diagnosis of electrical equipment
CN103325074A (en) * 2013-06-26 2013-09-25 广东电网公司佛山供电局 Electric system real-time data processing method
CN104578411A (en) * 2014-12-23 2015-04-29 国电南瑞科技股份有限公司 Multi-source data safety verification and failure locking method after PMU (Phasor Measurements Units) data's accessing to AGC (Automatic Generation Control)
CN104638764A (en) * 2015-01-22 2015-05-20 国家电网公司 Intelligent state diagnosis and overhauling system for power distribution network equipment

Cited By (13)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107591787A (en) * 2017-11-06 2018-01-16 国网河南省电力公司登封市供电公司 A kind of distribution protection module failure monitoring method
CN107591787B (en) * 2017-11-06 2019-05-07 国网河南省电力公司登封市供电公司 A kind of distribution protection module failure monitoring method
CN108493955A (en) * 2018-05-09 2018-09-04 北京国网普瑞特高压输电技术有限公司 A kind of series compensation device with real-time state monitoring integrated platform
CN108512231A (en) * 2018-05-09 2018-09-07 北京国网普瑞特高压输电技术有限公司 A kind of data processing method of the status monitoring integrated platform based on IEC61850 agreements
CN108551209A (en) * 2018-05-09 2018-09-18 北京国网普瑞特高压输电技术有限公司 A kind of operation method of the status monitoring integrated platform based on IEC61850 agreements
CN108896100A (en) * 2018-05-09 2018-11-27 北京国网普瑞特高压输电技术有限公司 A kind of capacitor group status monitoring subsystem
CN110727725A (en) * 2019-09-26 2020-01-24 广西电网有限责任公司电力科学研究院 Data interface based on distribution network operating efficiency monitoring and analysis
CN110727725B (en) * 2019-09-26 2022-06-24 广西电网有限责任公司电力科学研究院 Data interface based on distribution network operating efficiency monitoring and analysis
CN113346621A (en) * 2021-06-16 2021-09-03 贵州电网有限责任公司 Electric power monitoring system equipment alarm signal change early warning method
CN114204686A (en) * 2021-12-14 2022-03-18 辽宁生态工程职业学院 Power distribution network power distribution state monitoring system and monitoring method thereof
CN114204686B (en) * 2021-12-14 2024-07-19 辽宁生态工程职业学院 Distribution network distribution state monitoring system and monitoring method thereof
CN114296009A (en) * 2022-03-10 2022-04-08 山东汇能电气有限公司 Intelligent analysis system for transformer operation
CN114296009B (en) * 2022-03-10 2022-05-24 山东汇能电气有限公司 Intelligent analysis system for transformer operation

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