CN113268851B - Wind power plant system optimization system based on front, middle and rear data of wind power plant - Google Patents
Wind power plant system optimization system based on front, middle and rear data of wind power plant Download PDFInfo
- Publication number
- CN113268851B CN113268851B CN202110382555.7A CN202110382555A CN113268851B CN 113268851 B CN113268851 B CN 113268851B CN 202110382555 A CN202110382555 A CN 202110382555A CN 113268851 B CN113268851 B CN 113268851B
- Authority
- CN
- China
- Prior art keywords
- optimization
- power plant
- wind power
- data
- wind
- 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
- 238000005457 optimization Methods 0.000 title claims abstract description 113
- 238000004458 analytical method Methods 0.000 claims abstract description 61
- 238000007726 management method Methods 0.000 claims abstract description 31
- 238000013523 data management Methods 0.000 claims abstract description 26
- 238000013461 design Methods 0.000 claims abstract description 22
- 238000011156 evaluation Methods 0.000 claims abstract description 13
- 230000000694 effects Effects 0.000 claims abstract description 5
- 238000004519 manufacturing process Methods 0.000 claims abstract description 5
- 238000010248 power generation Methods 0.000 claims description 10
- 238000010276 construction Methods 0.000 claims description 6
- 238000000034 method Methods 0.000 abstract description 13
- 230000008569 process Effects 0.000 abstract description 11
- 230000001419 dependent effect Effects 0.000 abstract description 4
- 238000004140 cleaning Methods 0.000 description 5
- 230000005611 electricity Effects 0.000 description 4
- 238000012938 design process Methods 0.000 description 3
- 230000002159 abnormal effect Effects 0.000 description 2
- 230000005856 abnormality Effects 0.000 description 2
- 230000005684 electric field Effects 0.000 description 2
- 238000011835 investigation Methods 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000009423 ventilation Methods 0.000 description 2
- 230000004888 barrier function Effects 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 238000012937 correction Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000002708 enhancing effect Effects 0.000 description 1
- 238000012800 visualization Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/20—Design optimisation, verification or simulation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/06—Energy or water supply
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E40/00—Technologies for an efficient electrical power generation, transmission or distribution
- Y02E40/70—Smart grids as climate change mitigation technology in the energy generation sector
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Business, Economics & Management (AREA)
- Health & Medical Sciences (AREA)
- Economics (AREA)
- General Physics & Mathematics (AREA)
- Water Supply & Treatment (AREA)
- General Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- Strategic Management (AREA)
- Tourism & Hospitality (AREA)
- Human Resources & Organizations (AREA)
- General Business, Economics & Management (AREA)
- Marketing (AREA)
- Public Health (AREA)
- Computer Hardware Design (AREA)
- Evolutionary Computation (AREA)
- Geometry (AREA)
- General Engineering & Computer Science (AREA)
- Supply And Distribution Of Alternating Current (AREA)
- Wind Motors (AREA)
Abstract
The invention relates to a wind power plant system optimization system based on front, middle and later data of a wind power plant, which comprises: the technical management module is used for wind power plant early-stage data management, wind power plant engineering data management and wind power plant operation data management; the deviation analysis module is used for evaluating the potentially optimizable fans in the wind power plant through multidimensional deviation analysis, and checking and positioning the potentially optimizable fan units based on wind power plant operation evaluation analysis results, early wind power plant design data and real-time fan operation data; the accurate optimization module is used for carrying out system optimization on the potentially optimizable fan unit through optimization models and tools of different levels, acquiring an optimization effect in real time and providing accurate support for the production operation optimization decision of the wind power plant. The invention can make the optimization process and thought clearer, make the optimization result more reliable and make the optimization management more powerful; ensuring that the optimization scheme is dependent and reproducible; and the comparison of different optimization schemes is convenient.
Description
Technical Field
The invention belongs to the technical field of wind power generation, and particularly relates to a wind power plant system optimization system based on front, middle and later data of a wind power plant.
Background
The existing wind farm optimization aspect has the following technical defects:
1) At present, a unified standard wind farm operation optimization scheme is not available in the industry, and related wind farm optimization is performed based on a post-evaluation result, and an optimization process and related data use are not in a unified mode.
2) At present, the industry lacks comprehensive optimization schemes, the data is mostly based on the prior data or the operation data, and the collection of multiple data and analysis means is not well realized. The data acquisition criteria and data cleaning criteria used are also inconsistent.
3) The optimization process lacks management.
Disclosure of Invention
The invention aims to provide a wind power plant system optimization system based on front, middle and later data of a wind power plant, which can make the optimization process and thought clearer, make the optimization result more reliable and make the optimization management more powerful; by constructing a unified data template, cleaning data and standard, the optimization scheme is ensured to be dependent, and reproducible can be implemented; the history optimization scheme is added in the design process, and each optimization process is recorded in a time axis mode, so that comparison of different optimization schemes is facilitated.
The invention provides a wind power plant system optimization system based on front, middle and later data of a wind power plant, which comprises the following components:
The technical management module is used for wind power plant early-stage data management, wind power plant engineering data management and wind power plant operation data management;
the deviation analysis module is used for evaluating the potentially optimizable fans in the wind power plant through multidimensional deviation analysis based on the management data of the technical management module, and checking and positioning the potentially optimizable fan units based on wind power plant operation evaluation analysis results, early-stage wind power plant design data and real-time fan operation data;
the accurate optimization module is used for carrying out system optimization on the potentially optimizable fan unit through optimization models and tools of different levels, acquiring an optimization effect in real time and providing accurate support for the production operation optimization decision of the wind power plant.
Further, the wind farm early-stage data management comprises fan position design, fan model design, generating capacity information management, wind tower information management, wake analysis result display, comprehensive wind resource map display and point-by-point wind parameter query of the comprehensive wind resource map with a specified height in a field area.
Further, the wind farm engineering data management comprises engineering design road data and related information management in a wind farm, collecting line data and related information management, booster station data and related information management, and customized high-precision terrain and landform data switching on-line display.
Further, the wind farm operation data management comprises real-time operation data management of a fan, a wind measuring tower or a wind power prediction tower.
Further, the multidimensional deviation analysis performed by the deviation analysis module comprises design deviation analysis and contract deviation analysis, wherein the design deviation analysis comprises wind speed deviation analysis, engineering construction deviation analysis and power generation quantity deviation analysis; the contract deviation analysis comprises time availability deviation analysis, power curve conformity deviation analysis and power generation quantity guarantee deviation analysis.
Further, the system optimization performed by the precision optimization module comprises generating capacity optimization, reliability optimization and file optimization; the generating capacity optimization comprises control optimization, hardware optimization and machine shifting optimization.
Further, the optimization archive comprises a record of the optimization archive, and the historical optimization schemes are recorded.
By means of the scheme, the wind power plant system optimization system based on the front, middle and later data of the wind power plant can make the optimization process and thought clearer, the optimization result more reliable and the optimization management more powerful; by constructing a unified data template, cleaning data and standard, the optimization scheme is ensured to be dependent, and reproducible can be implemented; the history optimization scheme is added in the design process, and each optimization process is recorded in a time axis mode, so that comparison of different optimization schemes is facilitated.
Drawings
FIG. 1 is a block diagram of a wind farm system optimization system based on wind farm front, middle and rear data.
Detailed Description
The following describes in further detail the embodiments of the present invention with reference to the drawings and examples. The following examples are illustrative of the invention and are not intended to limit the scope of the invention.
Referring to fig. 1, the embodiment provides a wind farm system optimization system based on front, middle and rear data of a wind farm, including:
the technical management module 10 is used for wind power plant early-stage data management, wind power plant engineering data management and wind power plant operation data management;
The deviation analysis module 20 is configured to evaluate the potentially optimizable fans in the wind farm through multidimensional deviation analysis based on the management data of the technical management module, and to inspect and locate the potentially optimizable fan sets based on the wind farm operation evaluation analysis result, the early wind farm design data, and the real-time fan operation data;
The precise optimization module 30 is configured to perform system optimization on the potentially optimizable fan set through optimization models and tools of different levels, obtain an optimization effect in real time, and provide precise support for a production operation optimization decision of the wind farm.
The present invention will be described in further detail below.
According to the wind power plant system optimization scheme, through the design data of the front stage of the ventilation electric field, the wind power plant operation evaluation result data and the wind power plant real-time operation data chain, multidimensional data resources and analysis and evaluation means are integrated to complete the optimization design of the operation of the wind power plant fan, the power generation performance of the fan is improved, and finally the purposes of improving quality and enhancing efficiency are achieved. The whole optimization scheme comprises three aspects of technical management, operation deviation analysis and system optimization.
1. Technology management
The standardized management of the early-stage design result data of the wind turbine and the real-time operation data of the wind power plant is realized through data communication, wind power plant wind resource evaluation data and engineering design data are integrated, and basic data support is provided for accurate wind power plant operation deviation analysis and optimization.
The technical management is mainly all data related to management projects and a general basic analysis tool, and mainly comprises early-stage data management, wind farm engineering data management and wind farm operation data management.
Early data management: the method comprises the steps of designing information such as fan position, machine type, generating capacity and the like, measuring wind tower information, displaying wake analysis results, displaying comprehensive wind resource patterns, and inquiring comprehensive wind resource patterns with specified heights point by point in a field area.
Wind farm engineering data management: the method comprises engineering design road data and related information, collecting line data and related information, and booster station data and related information in a wind power plant. The wind power plant customized high-precision data display comprises customized high-precision terrain and landform data switching online display.
Wind farm operational data management: the wind power generation system comprises real-time operation data of a fan and real-time operation data of a wind measuring tower/wind power prediction tower.
Analysis tool: a three-dimensional measuring tool and a topographic profile analyzing tool; designing machine position coordinate offset correction; and (5) machine engineering construction position abnormality marking.
A three-dimensional visualization-based platform enables a standardized arrangement and presentation of data involved in future system optimization.
2. Deviation analysis
And a data barrier of the early design result and the running flat price analysis result is opened, and the evaluation of the potential optimizable fans in the wind power plant is realized through multi-dimensional deviation analysis. And the system platform is connected with each evaluation system platform of the ventilation electric field, so that the accurate investigation of the potential needs for optimizing the machine position is realized.
And after the series connection, evaluating the wind power plant operation evaluation analysis result, the early wind power plant design data and the real-time operation data of the fans, so that the investigation and the positioning of the potentially optimizable fan units are realized.
Design deviation analysis: wind speed deviation analysis, namely analyzing deviation values of wind speed of a fan design and actual running wind speed, and recommending a wind speed deviation abnormal fan based on a related model; the construction deviation analysis is carried out on the construction, and the fan does not carry out position deviation analysis caused by construction according to the design; and (3) power generation amount deviation analysis, namely, deviation analysis of actual power generation amount and designed power generation amount of the fan.
Contract deviation analysis: time availability deviation analysis, namely, deviation between actual availability time of fan operation and contract guarantee time; the power curve conformity degree deviation analysis is used for obtaining power curve deviation of a fan which is designed and operated based on the manually input contract power curve conformity degree and the post-evaluation power curve conformity degree; the electricity generation amount guarantee deviation analysis mainly comprises deviation of contract guarantee value and actual electricity generation amount, wherein the annual accumulated electricity generation amount is compared and integrated with the operation annual accumulated electricity generation amount of a big data platform. All deviation analysis modules can recommend fans with abnormal deviation based on the relevant models, and meanwhile, a manual editing tool provided for a user can adjust recommendation results.
3. And (3) accurate optimization: and constructing optimization models and tools of different levels from software optimization, hardware optimization, mobile machine optimization and the like, controlling the optimization effect in real time, and providing accurate support for the production operation optimization decision of the wind power plant.
The system optimization comprises the functions of generating capacity optimization, reliability optimization, file optimization and the like. Optimizing the generated energy: control optimization, namely performing fan optimization on wind angle abnormality aiming at fan yaw; hardware optimization, namely fan optimization is carried out through replacing a model and a power curve; and (3) optimizing the moving machine, and calculating the generated energy of the fan after the position is replaced in real time based on the uploaded wrg map by changing the position of the fan. Meanwhile, the record of the optimization file is added, and the optimization schemes of each time of history can be recorded.
The wind power plant system optimization system based on the front, middle and later data of the wind power plant can make the optimization process and thought clearer, make the optimization result more reliable, make the optimization management more powerful, solve the problem that the wind power plant operation optimization scheme without unified standard in the current industry is mostly based on the result of post evaluation to optimize the relevant wind power plant, and the optimization process and the use of the relevant data have no unified mode; by constructing a unified data template, cleaning and standard of data, the optimization scheme is ensured to be dependent, implementation and reproduction are possible, the problem that the existing industry lacks comprehensive optimization scheme is solved, the data is mostly used based on the prior data or the operation data, and the collection of multiple data and analysis means is not well realized. The data acquisition standard and the data cleaning standard are inconsistent; by adding the record of the historical optimization scheme in the design process and recording each optimization process in a time axis mode, comparison of different optimization schemes is facilitated, and the problem that management is lacking in the optimization process is solved.
The above description is only of the preferred embodiments of the present invention and is not intended to limit the present invention, and it should be noted that it is possible for those skilled in the art to make several improvements and modifications without departing from the technical principle of the present invention, and these improvements and modifications should also be regarded as the protection scope of the present invention.
Claims (1)
1. A wind farm system optimization system based on wind farm front, middle and rear data, comprising:
The technical management module is used for wind power plant early-stage data management, wind power plant engineering data management and wind power plant operation data management; the wind farm early-stage data management comprises the information management of the designed fan position, the machine type and the generating capacity, the information management of a wind measuring tower, the wake analysis result display, the comprehensive wind resource map display and the point-by-point wind parameter inquiry of the comprehensive wind resource map with the designated height in a field area; the wind farm engineering data management comprises engineering design road data and related information management in a wind farm, collecting line data and related information management, booster station data and related information management, and customized high-precision landform and landform data switching on-line display; the wind farm operation data management comprises real-time operation data management of a fan, a wind measuring tower or a wind power prediction tower;
The deviation analysis module is used for evaluating the potentially optimizable fans in the wind power plant through multidimensional deviation analysis based on the management data of the technical management module, and checking and positioning the potentially optimizable fan units based on wind power plant operation evaluation analysis results, early-stage wind power plant design data and real-time fan operation data; the multidimensional deviation analysis performed by the deviation analysis module comprises design deviation analysis and contract deviation analysis, wherein the design deviation analysis comprises wind speed deviation analysis, engineering construction deviation analysis and power generation amount deviation analysis; the contract deviation analysis comprises time availability deviation analysis, power curve coincidence degree deviation analysis and power generation amount guarantee deviation analysis;
The accurate optimization module is used for carrying out system optimization on the potentially optimizable fan unit through optimization models and tools of different levels, acquiring an optimization effect in real time and providing accurate support for the production operation optimization decision of the wind power plant; the system optimization performed by the precision optimization module comprises generating capacity optimization, reliability optimization and file optimization; the generating capacity optimization comprises control optimization, hardware optimization and machine shifting optimization; the optimization archive comprises records of the optimization archive, and records of the historical optimization schemes for each time.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110382555.7A CN113268851B (en) | 2021-04-09 | 2021-04-09 | Wind power plant system optimization system based on front, middle and rear data of wind power plant |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110382555.7A CN113268851B (en) | 2021-04-09 | 2021-04-09 | Wind power plant system optimization system based on front, middle and rear data of wind power plant |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN113268851A CN113268851A (en) | 2021-08-17 |
| CN113268851B true CN113268851B (en) | 2024-06-28 |
Family
ID=77228645
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110382555.7A Active CN113268851B (en) | 2021-04-09 | 2021-04-09 | Wind power plant system optimization system based on front, middle and rear data of wind power plant |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113268851B (en) |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106250656A (en) * | 2016-08-23 | 2016-12-21 | 中国华能集团清洁能源技术研究院有限公司 | The complicated landform wind field design platform of the big data of a kind of combination and method |
| CN205862181U (en) * | 2016-06-23 | 2017-01-04 | 天津索利普智能科技有限公司 | A kind of wind energy turbine set centralized monitoring system based on BIM |
Family Cites Families (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| ITRM20100506A1 (en) * | 2010-09-30 | 2012-03-31 | En Etiche S R L | COMBINED SYSTEM FOR EVALUATION OF PRODUCIBILITY OF A WIND SITE |
| CN103441537B (en) * | 2013-06-18 | 2018-04-13 | 国家电网公司 | Distributing wind power plant active optimization regulation and control method equipped with energy-accumulating power station |
| EP3037657A1 (en) * | 2014-12-23 | 2016-06-29 | ABB Technology AG | Optimal wind farm operation |
| CN108536881B (en) * | 2017-03-06 | 2020-10-16 | 新疆金风科技股份有限公司 | Method and device for calculating the power generation of a wind farm |
| CN110259646B (en) * | 2019-05-06 | 2020-07-14 | 明阳智慧能源集团股份公司 | Wind generating set component state early warning method based on historical data |
| CN111342499B (en) * | 2020-03-05 | 2023-09-08 | 宁夏嘉泽新能源股份有限公司 | Wind farm real-time scheduling method based on wind power prediction data |
| CN111797545B (en) * | 2020-07-27 | 2023-12-08 | 龙源（北京）风电工程设计咨询有限公司 | Wind turbine generator yaw reduction coefficient calculation method based on measured data |
| CN112380699B (en) * | 2020-11-13 | 2024-05-17 | 龙源（北京）风电工程技术有限公司 | Wind turbine yaw error early warning analysis method based on multidimensional analysis |
-
2021
- 2021-04-09 CN CN202110382555.7A patent/CN113268851B/en active Active
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN205862181U (en) * | 2016-06-23 | 2017-01-04 | 天津索利普智能科技有限公司 | A kind of wind energy turbine set centralized monitoring system based on BIM |
| CN106250656A (en) * | 2016-08-23 | 2016-12-21 | 中国华能集团清洁能源技术研究院有限公司 | The complicated landform wind field design platform of the big data of a kind of combination and method |
Also Published As
| Publication number | Publication date |
|---|---|
| CN113268851A (en) | 2021-08-17 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN107479540A (en) | Method for diagnosing faults and system | |
| CN116797206A (en) | Intelligent inspection method and system of photovoltaic power station based on unmanned aerial vehicle | |
| CN117311295B (en) | Production quality improving method and system based on wireless network equipment | |
| CN113268851B (en) | Wind power plant system optimization system based on front, middle and rear data of wind power plant | |
| CN112686773B (en) | Electric power metering all-link key business anomaly positioning model construction method based on fusion business topology | |
| CN117391534A (en) | Construction quality monitoring method and device, electronic equipment and storage medium | |
| CN107392385A (en) | A kind of production technical reserve method based on qualitative data depth analysis | |
| CN103247087A (en) | City distribution network graphical intelligent anti-misoperation system and method of system | |
| CN114936442B (en) | System and method for accurately positioning power distribution network equipment and forming topological graph | |
| CN110689263A (en) | River channel quality management and control system based on BIM technology | |
| CN115876964A (en) | Mobile monitoring and early warning method and system for city block climate environment and carbon emission | |
| CN115907675A (en) | Intelligent management system for engineering cost evaluation and analysis based on cloud computing and big data | |
| CN101834438A (en) | Distribution network state and operation mode optimization method based on DSCADA system | |
| CN109635350B (en) | Data replacement method and system for automatically generating simulated power flow section | |
| CN114266128A (en) | Atmospheric environment assessment system and method based on cloud platform | |
| CN106022543A (en) | Wind power and electric quantity diagnosing system | |
| Yang et al. | Big data collection and application based on 5G Industrial Internet Three-level edge layer | |
| CN111402418A (en) | Multisource hydraulic engineering image information system | |
| CN111697691B (en) | Power distribution network planning monitoring system based on cloud computing | |
| CN118151619B (en) | Acquisition and analysis system based on Internet public data | |
| KR102599802B1 (en) | Energy Solution for Energy Efficiency Improvement of Industrial Process and Utility | |
| CN117575653A (en) | Power generation enterprise leveling electric energy cost calculation method considering carbon emission right price | |
| CN105512401A (en) | Make-to-order based worker shift arrangement simulation method | |
| CN117235519A (en) | Energy data processing method, device and storage medium | |
| CN101598940A (en) | A kind of data processing method and system |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| TA01 | Transfer of patent application right | ||
| TA01 | Transfer of patent application right |
Effective date of registration: 20240411 Address after: Datang renewable energy Experimental Research Institute Co., Ltd., No.2 xizhuanhutong, Caishikou street, Xicheng District, Beijing 100052 Applicant after: Datang renewable energy test and Research Institute Co.,Ltd. Country or region after: China Address before: 100041 room a-1725, 2nd floor, building 3, yard 30, Shixing street, Shijingshan District, Beijing Applicant before: CHINA DATANG CORPORATION NEW ENERGY SCIENCE AND TECHNOLOGY RESEARCH INSTITUTE Co.,Ltd. Country or region before: China |
|
| GR01 | Patent grant |