CN103427417B - Based on the distribution network failure processing method of Multi-source Information Fusion - Google Patents
Based on the distribution network failure processing method of Multi-source Information Fusion Download PDFInfo
- Publication number
- CN103427417B CN103427417B CN201310328076.2A CN201310328076A CN103427417B CN 103427417 B CN103427417 B CN 103427417B CN 201310328076 A CN201310328076 A CN 201310328076A CN 103427417 B CN103427417 B CN 103427417B
- Authority
- CN
- China
- Prior art keywords
- fault
- source
- distribution network
- data
- distribution
- 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.)
- Active
Links
- 230000004927 fusion Effects 0.000 title claims abstract description 14
- 238000003672 processing method Methods 0.000 title claims abstract description 14
- 238000007726 management method Methods 0.000 claims abstract description 24
- 230000008878 coupling Effects 0.000 claims abstract description 16
- 238000010168 coupling process Methods 0.000 claims abstract description 16
- 238000005859 coupling reaction Methods 0.000 claims abstract description 16
- 238000013024 troubleshooting Methods 0.000 claims abstract description 13
- 230000001131 transforming effect Effects 0.000 claims description 29
- 238000000034 method Methods 0.000 claims description 8
- 238000012544 monitoring process Methods 0.000 claims description 8
- 238000012795 verification Methods 0.000 claims description 6
- 230000008859 change Effects 0.000 claims description 3
- 239000004744 fabric Substances 0.000 claims description 3
- 238000002955 isolation Methods 0.000 claims description 3
- 239000000203 mixture Substances 0.000 claims description 3
- 230000008569 process Effects 0.000 claims description 3
- 238000010276 construction Methods 0.000 abstract description 7
- 230000015556 catabolic process Effects 0.000 abstract description 4
- 230000001737 promoting effect Effects 0.000 abstract description 4
- 230000008439 repair process Effects 0.000 abstract description 4
- 238000005516 engineering process Methods 0.000 description 5
- 238000011160 research Methods 0.000 description 3
- 230000000694 effects Effects 0.000 description 2
- 230000006872 improvement Effects 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000008901 benefit Effects 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
Classifications
-
- 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
- Y04S10/52—Outage or fault management, e.g. fault detection or location
Abstract
The invention discloses a kind of distribution network failure processing method based on Multi-source Information Fusion, comprise 1) search multi-source information; 2) fault data information; 3) fault model coupling; 4) fault location; 5) troubleshooting, five steps.Distribution network failure processing method based on Multi-source Information Fusion of the present invention, by the collection of multi-source information, information matches comes localizing faults source, then carrying out troubleshooting and issue can when power distribution network operation be broken down, the concrete source of trouble can be navigated to accurately and timely, and make respective handling, for breakdown repair management provides decision-making function, be conducive to promoting distribution network automated construction fast, have a good application prospect.
Description
Technical field
The present invention relates to intelligent power grid technology field, be specifically related to a kind of distribution network failure processing method based on Multi-source Information Fusion.
Background technology
In recent years before, plan that State Grid Corporation of China formally discloses to external world " strong intelligent grid ", and in the participation of personages of various circles of society and under coordinating, a large amount of research and practice work has been carried out in association area, and achieve certain achievement, can say, the intelligent grid construction of China is fully under way.
Distribution automation utilizes modern electronic technology exactly, mechanics of communication, computer techno-stress technology, realize distribution system normally to run and monitoring under accident conditions, protection, the modernization of control and distribution management, along with the high speed development of national economy and going deep into of reform and opening-up, the requirement of power consumer to the quality of power supply and power supply reliability is more and more higher, but voltage fluctuation and power failure in short-term all can cause huge loss, therefore, need in power distribution network, to realize power distribution automation in conjunction with electric network reconstruction, to improve the managerial skills of power distribution network, high-quality electric energy is provided for vast power consumer is continual, feeder automation (FA), as one of the important module of distribution automation, it provides effective support means to raising power supply reliability.
Due to complexity and the polytropy of power distribution network, cause when power distribution network operation is broken down, be difficult to navigate to the concrete source of trouble accurately and timely, current, a lot of researcher has made deep research for this problem, its basic research method, mainly based in real time monitoring means and the auxiliary system such as SCADA, power information acquisition system, DMS, also has the history run failure condition considering grid equipment, the electric network fault factor that may cause based on the geographical feature (trees, job site etc.) of GIS and meteorologic factor etc.But the distribution network automated its construction level of China still has much room for improvement; The equipment of electric power system, service data quality are also difficult to the degree reaching practical assist location; Modelling application based on meteorology, nature, social activities does not yet reach practical stage, the difficulty that these factors result in Distribution Network Failure location is really very large, how designing a kind of Fault Locating Method of simple, practical comprehensive multi-source factor, is current power distribution network Automation Construction urgent problem.
Summary of the invention
Technical problem solved by the invention be overcome the equipment of electric power system, degree that service data quality is also difficult to reach practical assist location, and meteorology, nature, social activities these factors problem of causing Distribution Network Failure positioning difficulty to increase.Distribution network failure processing method based on Multi-source Information Fusion of the present invention, can when power distribution network operation be broken down, navigate to the concrete source of trouble accurately and timely, and make respective handling, for breakdown repair management provides decision-making function, be conducive to promoting distribution network automated construction fast, have a good application prospect.
In order to solve the problems of the technologies described above, the technical solution adopted in the present invention is:
Based on a distribution network failure processing method for Multi-source Information Fusion, it is characterized in that: comprise the following steps,
Step (1) searches multi-source information
By the DMS power distribution automation management system in power distribution network, power information acquisition system, based on the data source of GIS geographic information management system as multi-source information;
Step (2) fault data information
According to different data sources, be equipped with different interface routines, by the mode of service call, the electric network composition fault data information that real-time calling needs, realizes sharing of fault data information;
Step (3) fault model mates
Collect fault data information according to from each data source, carry out fault model coupling, find out the source of trouble;
Step (4) fault location
According to the source of trouble that fault model matched and searched goes out, calculate fault point on distribution transforming supply path by fault location module;
Step (5) troubleshooting
According to the position of fault point, whether failure judgement source belongs to distribution network automated management system fault, if belong to distribution network automated management system fault, then uses conventional fault handling process, carries out Fault Isolation, troubleshooting successively; If do not belong to distribution network automated management system fault, then carry out fault message issue, after assessment, carry out troubleshooting.
The aforesaid distribution network failure processing method based on Multi-source Information Fusion, is characterized in that: the data source of step (1) described DMS power distribution automation management system obtains at normal power supply inquiry under condition according to distribution transforming list object.
The aforesaid distribution network failure processing method based on Multi-source Information Fusion, is characterized in that: the method for carrying out fault model coupling described in step (3), comprises the following steps,
(1) all distribution transforming object outages data messages of power distribution network are pressed fabric anomaly, form multiple fault model coupling distribution transforming group;
(2) each fault model coupling distribution transforming group monitors corresponding supply path and the situation of change of supply path in real time, stores the device data of the distribution transforming list object in each data source;
(3) the distribution transforming list object device data in the fault data information of step (2) being collected and each data source of storage contrasts, and is associated with to report object for repairment in fault model coupling distribution transforming group, finds out the source of trouble.
The aforesaid distribution network failure processing method based on Multi-source Information Fusion, it is characterized in that: the described fault location module of step (4) comprises based on the Real-Time Monitoring unit of power network topology, the model object unit of fault location and fault verification unit, the source of trouble that described fault verification unit is found out by step (3), inquire from the model object unit of fault location and report object for repairment, and report the real-time data message of object for repairment according to the Real-Time Monitoring unit record based on power network topology, calculate the fault point on distribution transforming supply path in real time.
The invention has the beneficial effects as follows: the distribution network failure processing method based on Multi-source Information Fusion of the present invention, by the collection of multi-source information, information matches comes localizing faults source, then carrying out troubleshooting and issue can when power distribution network operation be broken down, the concrete source of trouble can be navigated to accurately and timely, and make respective handling, for breakdown repair management provides decision-making function, be conducive to promoting distribution network automated construction fast, have a good application prospect.
Accompanying drawing explanation
Fig. 1 is the flow chart of the distribution network failure processing method based on Multi-source Information Fusion of the present invention.
Embodiment
Below in conjunction with Figure of description, the present invention is further illustrated.
Distribution network failure processing method based on Multi-source Information Fusion of the present invention, by the collection of multi-source information, information matches comes localizing faults source, then carries out troubleshooting and issue when power distribution network operation is broken down, can navigating to the concrete source of trouble accurately and timely, and make respective handling, for breakdown repair management provides decision-making function, be conducive to promoting distribution network automated construction fast, as shown in Figure 1, specifically comprise the following steps
Step (1) searches multi-source information
By the DMS power distribution automation management system in power distribution network, power information acquisition system, based on the data source of GIS geographic information management system as multi-source information, wherein the data source of DMS power distribution automation management system obtains at normal power supply inquiry under condition according to distribution transforming list object, i.e. distribution transforming list object is inquired about in the scope of not scheduled outage, could by the data source of the distribution transforming list object in DMS power distribution automation management system as multi-source information;
Step (2) fault data information
According to different data sources, be equipped with different interface routines, by the mode (WSDL) of service call, the electric network composition fault data information that real-time calling needs, realizes sharing of fault data information;
Step (3) fault model mates
Collect fault data information according to from each data source, carry out fault model coupling, find out the source of trouble, wherein carry out the method for fault model coupling, comprise the following steps,
1) all distribution transforming object outages data messages of power distribution network are pressed fabric anomaly, form multiple fault model coupling distribution transforming group;
2) each fault model coupling distribution transforming group monitors corresponding supply path and the situation of change of supply path in real time, stores the device data of the distribution transforming list object in each data source;
3) the distribution transforming list object device data in the fault data information of step (2) being collected and each data source of storage is analyzed, is contrasted, and is associated with to report object for repairment in fault model coupling distribution transforming group, finds out the source of trouble.
Step (4) fault location
According to the source of trouble that fault model matched and searched goes out, fault point on distribution transforming supply path is calculated by fault location module, fault location module comprises based on the Real-Time Monitoring of power network topology, the model object of fault location and fault verification three unit, the source of trouble that described fault verification unit is found out by step (3), inquire from the model object unit of fault location and report object for repairment, and report the real-time data message of object for repairment according to the Real-Time Monitoring unit record based on power network topology, calculate the fault point on distribution transforming supply path in real time.
Step (5) troubleshooting
According to the position of fault point, whether failure judgement source belongs to distribution network automated management system fault, if belong to distribution network automated management system fault, then uses conventional fault handling process, carries out Fault Isolation, troubleshooting successively; If do not belong to distribution network automated management system fault, then carry out fault message issue, after assessment, carry out troubleshooting.
More than show and describe general principle of the present invention, principal character and advantage.The technical staff of the industry should understand; the present invention is not restricted to the described embodiments; what describe in above-described embodiment and specification just illustrates principle of the present invention; without departing from the spirit and scope of the present invention; the present invention also has various changes and modifications, and these changes and improvements all fall in the claimed scope of the invention.Application claims protection range is defined by appending claims and equivalent thereof.
Claims (1)
1., based on the distribution network failure processing method of Multi-source Information Fusion, it is characterized in that: comprise the following steps,
Step (1) searches multi-source information
By the DMS power distribution automation management system in power distribution network, power information acquisition system, based on the data source of GIS geographic information management system as multi-source information;
Step (2) fault data information
According to different data sources, be equipped with different interface routines, by the mode of service call, the electric network composition fault data information that real-time calling needs, realizes sharing of fault data information;
Step (3) fault model mates
Collect fault data information according to from each data source, carry out fault model coupling, find out the source of trouble;
Step (4) fault location
According to the source of trouble that fault model matched and searched goes out, calculate fault point on distribution transforming supply path by fault location module;
Step (5) troubleshooting
According to the position of fault point, whether failure judgement source belongs to distribution network automated management system fault, if belong to distribution network automated management system fault, then uses conventional fault handling process, carries out Fault Isolation, troubleshooting successively; If do not belong to distribution network automated management system fault, then carry out fault message issue, after assessment, carry out troubleshooting;
The data source of step (1) described DMS power distribution automation management system obtains at normal power supply inquiry under condition according to distribution transforming list object;
Carry out the method for fault model coupling described in step (3), comprise the following steps,
(1) all distribution transforming object outages data messages of power distribution network are pressed fabric anomaly, form multiple fault model coupling distribution transforming group;
(2) each fault model coupling distribution transforming group monitors corresponding supply path and the situation of change of supply path in real time, stores the device data of the distribution transforming list object in each data source;
(3) the distribution transforming list object device data in the fault data information of step (2) being collected and each data source of storage contrasts, and is associated with to report object for repairment in fault model coupling distribution transforming group, finds out the source of trouble;
The described fault location module of step (4) comprises based on the Real-Time Monitoring unit of power network topology, the model object unit of fault location and fault verification unit, the source of trouble that described fault verification unit is found out by step (3), inquire from the model object unit of fault location and report object for repairment, and report the real-time data message of object for repairment according to the Real-Time Monitoring unit record based on power network topology, calculate the fault point on distribution transforming supply path in real time.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201310328076.2A CN103427417B (en) | 2013-07-31 | 2013-07-31 | Based on the distribution network failure processing method of Multi-source Information Fusion |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201310328076.2A CN103427417B (en) | 2013-07-31 | 2013-07-31 | Based on the distribution network failure processing method of Multi-source Information Fusion |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN103427417A CN103427417A (en) | 2013-12-04 |
| CN103427417B true CN103427417B (en) | 2015-10-14 |
Family
ID=49651788
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201310328076.2A Active CN103427417B (en) | 2013-07-31 | 2013-07-31 | Based on the distribution network failure processing method of Multi-source Information Fusion |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN103427417B (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108475445A (en) * | 2016-01-06 | 2018-08-31 | 通用电气航空系统有限公司 | The method and system of the automation fusion and analysis of multi-source aircraft data |
Families Citing this family (24)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103714136A (en) * | 2013-12-19 | 2014-04-09 | 国家电网公司 | Method for rapidly locating device in power distribution automation system |
| CN103683511A (en) * | 2013-12-23 | 2014-03-26 | 国家电网公司 | Method and system for processing fault of integrated monitoring platform based on power distribution network |
| CN103941158B (en) * | 2014-04-17 | 2017-01-25 | 国家电网公司 | Power distribution network fault diagnosis method based on multi-source information |
| CN104393593B (en) * | 2014-11-28 | 2017-02-08 | 国家电网公司 | Method based on three-state data effective fusion |
| CN105093063B (en) * | 2015-08-06 | 2018-06-26 | 国家电网公司 | The online electric network failure diagnosis method judged based on the combination of multi-source data feature unit |
| CN105319482A (en) * | 2015-09-29 | 2016-02-10 | 科大智能科技股份有限公司 | Power distribution network fault diagnosis system and method based on multi-source information fusion |
| CN105158647B (en) * | 2015-10-10 | 2018-04-06 | 国家电网公司 | Dan Zhanduan electric network failure diagnosis and aid decision-making method based on grid monitoring system |
| CN105488118B (en) * | 2015-11-23 | 2019-03-26 | 国网北京市电力公司 | The methods of exhibiting and device of electrical equipment malfunction information |
| CN105515188B (en) * | 2015-12-10 | 2018-12-25 | 国网四川省电力公司成都供电公司 | A kind of power distribution network centralization feeder automation fault handling method |
| CN105652119A (en) * | 2015-12-31 | 2016-06-08 | 国网浙江奉化市供电公司 | Method, device and system for acquiring fault information |
| CN105652157B (en) * | 2016-03-23 | 2019-12-27 | 中国电力科学研究院 | Method for analyzing health state of power distribution network based on traveling wave electric quantity |
| CN106412036B (en) * | 2016-09-18 | 2019-06-25 | 国电南瑞科技股份有限公司 | A kind of mixing multi-source data acquisition method for electric power scheduling automatization system |
| CN108074021A (en) | 2016-11-10 | 2018-05-25 | 中国电力科学研究院 | A kind of power distribution network Risk Identification system and method |
| CN106649614B (en) * | 2016-11-30 | 2020-07-17 | 国家电网公司 | Intelligent power distribution network rapid query method and query system |
| CN107657375A (en) * | 2017-09-25 | 2018-02-02 | 国网上海市电力公司 | A kind of method for electric network fault judgement, verification and fault incidence analysis |
| CN108152673B (en) * | 2017-12-15 | 2020-08-18 | 国网江苏省电力有限公司南京供电分公司 | Active power distribution network fault layered positioning method utilizing multi-source data |
| CN109193934A (en) * | 2018-09-06 | 2019-01-11 | 江苏佳源科技有限公司 | A kind of New Generation of Intelligent distribution terminal of information fusion and fault point ranging |
| CN110210632A (en) * | 2019-05-31 | 2019-09-06 | 国网河北省电力有限公司沧州供电分公司 | Failure emergency processing method, device and terminal based on ubiquitous electric power Internet of Things |
| CN112100019B (en) * | 2019-09-12 | 2021-03-23 | 无锡江南计算技术研究所 | Multi-source fault collaborative analysis positioning method for large-scale system |
| CN110635477B (en) * | 2019-09-30 | 2023-05-09 | 国网宁夏电力有限公司 | Multi-system fusion-based distribution network fault studying and judging method, device and system |
| CN110703135B (en) * | 2019-10-18 | 2021-10-29 | 国网福建省电力有限公司 | Full study and judgment method for fault handling of power distribution network |
| CN111585278B (en) * | 2020-05-22 | 2021-07-13 | 国网宁夏电力有限公司石嘴山供电公司 | Power distribution network fault processing method based on voltage and current parameter detection |
| CN111880035B (en) * | 2020-08-06 | 2022-08-09 | 国网四川省电力公司电力科学研究院 | Power distribution network fault monitoring system and method based on multi-source measurement data |
| CN112467724A (en) * | 2020-11-12 | 2021-03-09 | 广东电网有限责任公司湛江供电局 | Low-voltage distribution network fault studying and judging method |
Family Cites Families (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101419267B (en) * | 2008-12-03 | 2011-01-26 | 中国电力科学研究院 | Electric network fault on-line rapid diagnosis and analysis method |
| CN101533061B (en) * | 2009-04-09 | 2011-07-06 | 浙江大学 | Large power transmission network fault locating method based on sparse PMU configuration |
| CN101614781B (en) * | 2009-07-20 | 2011-04-06 | 浙江大学 | Intelligent diagnosis method of radio and television equipment based on spatial rule index |
| CN103516054B (en) * | 2011-12-04 | 2015-09-16 | 江苏省电力公司南京供电公司 | Power distribution network fault automatic processing method |
-
2013
- 2013-07-31 CN CN201310328076.2A patent/CN103427417B/en active Active
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108475445A (en) * | 2016-01-06 | 2018-08-31 | 通用电气航空系统有限公司 | The method and system of the automation fusion and analysis of multi-source aircraft data |
Also Published As
| Publication number | Publication date |
|---|---|
| CN103427417A (en) | 2013-12-04 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN103427417B (en) | Based on the distribution network failure processing method of Multi-source Information Fusion | |
| CN104219315B (en) | A kind of operation monitoring system of power information acquisition system and method for supervising thereof | |
| CN106532935B (en) | For carrying out the method and its system of secondary system of intelligent substation fault diagnosis | |
| CN103607042B (en) | The distribution network failure processing method of long fault indicator for overhead lines towards outskirts of a town | |
| CN102427277A (en) | Area intelligent power distribution network system | |
| CN202260451U (en) | Regional intelligent distribution network system | |
| CN103683511A (en) | Method and system for processing fault of integrated monitoring platform based on power distribution network | |
| CN103761625A (en) | Outage management system based on information exchange bus and data processing method thereof | |
| CN103618297A (en) | High-efficiency and high-reliability fault processing method aiming at complex power distribution network | |
| CN105303316A (en) | National power grid distribution network fault processing system | |
| CN103424662A (en) | Smart power grid transmission line fault monitoring system and method | |
| CN113722311A (en) | Power distribution network power failure range positioning method, system, equipment and medium | |
| CN111509857A (en) | Low-voltage distribution transformer power-failure-free rapid monitoring system and method | |
| CN103023138A (en) | District-county integrated automatic voltage control system | |
| CN204906004U (en) | Distributed intelligent regional power grid of network layering | |
| CN103545805B (en) | Modeling-based railway power supply arm monitoring method | |
| CN103401371B (en) | Based on the throwing motor device diagnosis operational system of real-time data base | |
| CN104502741A (en) | Remote and online monitoring system for static var generator | |
| CN111062825A (en) | Low-voltage fault diagnosis and rapid power restoration method based on mobile App | |
| CN203722341U (en) | Direct-current side fault data acquisition monitoring system of photovoltaic zone of photovoltaic power station | |
| CN102510073B (en) | Data exchanging system of large power consumption interaction system/ distribution automation master station system | |
| CN102012966A (en) | Digitalized power grid modeling system and method | |
| CN201417948Y (en) | Distribution network status and operating mode optimizing system based on DSCADA system | |
| CN202815949U (en) | Cable information handheld polling device | |
| CN105305624A (en) | Intelligent power monitoring system |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| ASS | Succession or assignment of patent right |
Owner name: STATE ELECTRIC NET CROP. Free format text: FORMER OWNER: NARI TECHNOLOGY DEVELOPMENT CO., LTD. Effective date: 20131224 Owner name: STATE GRID ELECTRIC POWER RESEARCH INSITITUTE ELEC Free format text: FORMER OWNER: STATE GRID ELECTRIC POWER RESEARCH INSITITUTE SHAANXI ELECTRIC POWER RESEARCH INSTITUTE Effective date: 20131224 |
|
| C41 | Transfer of patent application or patent right or utility model | ||
| COR | Change of bibliographic data |
Free format text: CORRECT: ADDRESS; FROM: 210061 NANJING, JIANGSU PROVINCE TO: 100031 XICHENG, BEIJING |
|
| TA01 | Transfer of patent application right |
Effective date of registration: 20131224 Address after: 100031 Xicheng District West Chang'an Avenue, No. 86, Beijing Applicant after: State Grid Corporation of China Applicant after: State Grid Electric Power Research Insititute Applicant after: Electric Power Research Institute, State Grid Shaanxi Electric Power Company Applicant after: NARI Technology Development Co., Ltd. Address before: High road high tech Development Zone Nanjing city Jiangsu province 210061 No. 20 Applicant before: NARI Technology Development Co., Ltd. Applicant before: State Grid Electric Power Research Insititute Applicant before: Shaanxi Electric Power Research Institute |
|
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant |