CN114092280A - Power grid off-line simulation data fusion splicing method - Google Patents
Power grid off-line simulation data fusion splicing method Download PDFInfo
- Publication number
- CN114092280A CN114092280A CN202111435054.7A CN202111435054A CN114092280A CN 114092280 A CN114092280 A CN 114092280A CN 202111435054 A CN202111435054 A CN 202111435054A CN 114092280 A CN114092280 A CN 114092280A
- Authority
- CN
- China
- Prior art keywords
- data
- splicing
- power grid
- bus
- deviation
- 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.)
- Granted
Links
- 238000004088 simulation Methods 0.000 title claims abstract description 48
- 238000000034 method Methods 0.000 title claims abstract description 33
- 238000007526 fusion splicing Methods 0.000 title claims description 20
- 230000004927 fusion Effects 0.000 claims abstract description 8
- 238000004804 winding Methods 0.000 claims description 6
- 238000004364 calculation method Methods 0.000 claims description 5
- 238000012986 modification Methods 0.000 claims description 5
- 230000004048 modification Effects 0.000 claims description 5
- 238000012545 processing Methods 0.000 claims description 5
- 230000008859 change Effects 0.000 claims description 4
- 239000003990 capacitor Substances 0.000 claims description 2
- 238000003745 diagnosis Methods 0.000 abstract description 2
- 238000001914 filtration Methods 0.000 abstract 1
- 230000035515 penetration Effects 0.000 abstract 1
- 230000002159 abnormal effect Effects 0.000 description 3
- 230000035699 permeability Effects 0.000 description 3
- 238000011161 development Methods 0.000 description 2
- 239000000463 material Substances 0.000 description 2
- 238000011160 research Methods 0.000 description 2
- 238000012216 screening Methods 0.000 description 2
- 238000004458 analytical method Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000011156 evaluation Methods 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 238000010248 power generation Methods 0.000 description 1
- 230000004044 response Effects 0.000 description 1
- 230000001360 synchronised effect Effects 0.000 description 1
- 238000012795 verification Methods 0.000 description 1
Images
Classifications
-
- 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
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/21—Design, administration or maintenance of databases
- G06F16/215—Improving data quality; Data cleansing, e.g. de-duplication, removing invalid entries or correcting typographical errors
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for AC mains or AC distribution networks
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
- H02J2203/20—Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Business, Economics & Management (AREA)
- Health & Medical Sciences (AREA)
- Databases & Information Systems (AREA)
- Physics & Mathematics (AREA)
- Economics (AREA)
- General Physics & Mathematics (AREA)
- Public Health (AREA)
- Human Resources & Organizations (AREA)
- Power Engineering (AREA)
- General Engineering & Computer Science (AREA)
- Data Mining & Analysis (AREA)
- Water Supply & Treatment (AREA)
- General Health & Medical Sciences (AREA)
- Quality & Reliability (AREA)
- Marketing (AREA)
- Primary Health Care (AREA)
- Strategic Management (AREA)
- Tourism & Hospitality (AREA)
- General Business, Economics & Management (AREA)
- Supply And Distribution Of Alternating Current (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
本发明提供了一种电网离线仿真数据融合拼接方法，包括以下步骤：获取离线仿真数据，读取各级调度数据文件，解析Info工作表的VERSION字段，筛选VERSION字段相同的工作表；确定拼接顺序，提取各级调度数据中的相同项母线数据，作为边界母线，以边界母线作为相邻离线仿真数据的联络线，确定联络线所属调度等级。计算联络线位置的数据偏差；判定中数据偏差是否符合用户给定的偏差范围，进行数据的关闭或调整，完成离线仿真数据的融合拼接。实现省地调全电压等级的仿真数据的自动融合拼接，提高了融合拼接效率，能够有效分析评估新能源电源渗透率增长对电网稳定性影响，识别关键约束环节，从而进行数据诊断，为新能源接入提供指导，从而增强电网稳定性。
The invention provides a method for merging and splicing power grid offline simulation data, comprising the following steps: acquiring offline simulation data, reading scheduling data files at all levels, parsing the VERSION field of an Info worksheet, and filtering worksheets with the same VERSION field; determining the splicing sequence , extract the same item of bus data in the scheduling data at all levels as the boundary bus, and use the boundary bus as the tie line of the adjacent offline simulation data to determine the scheduling level to which the tie line belongs. Calculate the data deviation of the contact line position; determine whether the data deviation conforms to the deviation range given by the user, close or adjust the data, and complete the fusion and splicing of offline simulation data. Realize the automatic fusion and splicing of the simulation data of the full voltage level of the provincial land adjustment, improve the efficiency of fusion and splicing, and can effectively analyze and evaluate the impact of the increase in the penetration rate of new energy power sources on the stability of the power grid, identify key constraints, and perform data diagnosis for new energy sources. Access provides guidance to enhance grid stability.
Description
Technical Field
The invention relates to the technical field of offline simulation of power systems, in particular to a power grid offline simulation data fusion splicing method.
Background
With the construction and development of novel electric power systems in China, more and more new energy power supplies such as wind power and photovoltaic power supplies are put into operation in China, and the new energy power supplies such as the wind power and the photovoltaic power supplies are obviously different from the traditional synchronous generator in the aspects of power generation principle, disturbed response, control performance and the like. Therefore, the development of power grid simulation professional analysis and evaluation of the influence of the new energy power supply permeability increase on the power grid stability and identification of key constraint links are an indispensable research in the future. At present, offline simulation data of each provincial power grid company for carrying out power grid checking calculation only comprises a net rack with a voltage level of 220kV or more, offline simulation data of a local dispatching company for carrying out power grid checking calculation only comprises a net rack with a voltage level of 110kV or less, and the voltage level of the new wind power and photovoltaic grid-connected energy is mostly 10kV-110kV, so that research on a simulation data fusion splicing method of the provincial and local dispatching full voltage level is necessary. At present, manual splicing and subsequent multi-link processing are needed for provincial and local debugging simulation data fusion through analysis software such as PSASP and BPA used for power grid checking, and the problems of time consumption, easiness in error making, non-convergence of power flow, abnormal voltage and the like exist.
Disclosure of Invention
The invention aims to at least solve the technical problems of manual operation, low efficiency, easy error, non-convergence of tide and abnormal voltage in the prior art of off-line simulation data splicing.
Therefore, the invention provides a power grid off-line simulation data fusion splicing method.
The invention provides a power grid off-line simulation data fusion splicing method, which comprises the following steps:
s1, acquiring off-line simulation data, reading scheduling data files at all levels, analyzing VERSION fields of the Info worksheet, and screening worksheets with the same VERSION fields;
and S2, determining the splicing sequence, extracting the same bus data in each level of scheduling data, using the bus data as a boundary bus, using the boundary bus as a tie line of adjacent off-line simulation data, and determining the scheduling level to which the tie line belongs.
S3, calculating the data deviation of the position of the contact line;
and S4, judging whether the data deviation in S2 meets the deviation range given by the user, closing or adjusting the data, and fusing and splicing the offline simulation data of the main network and the sub-network.
According to the technical scheme of the invention, the power grid off-line simulation data fusion splicing method can also have the following additional technical characteristics:
further, the Info worksheet comprises a bus bar table, an alternating current line table, a parallel capacitor reactor table, a two-winding transformer table, a three-winding transformer table, a generator table and a load table.
Further, the data splicing sequence in S2 is: the provincial tone data is before and the local tone data is after.
Further, the boundary bus bar determination method in S2 is as follows:
s21, analyzing Bus _ Name and Base _ kV fields of the Bus table in each level of scheduling data;
s22, extracting buses with the same Bus _ Name fields in different scheduling data Bus tables as boundary buses;
s23, the voltage class of the boundary bus is the same as the Base _ kV field data of the bus in the original table.
Further, when the tie line is on the 220kV side of the transformer, comparing whether the parameters of the reactance x and the resistance r on each side of the transformer connected with the tie line are consistent, the comparing method is as follows:
AG＝(Si-Di)/Di (1)；
wherein A isGFor tie line data deviation, SiTo save the parameters of the individual sides of the transformer connected to the tie line in the data, (i ═ x, r.. multidot.), DiFor each side parameter of the transformer in the ground tone data.
Further, when A isGAnd when the deviation does not meet the requirement, closing a switch at the high-voltage side of the corresponding transformer in the local dispatching data, simultaneously adding short connecting wires of 110kV buses at the medium-voltage sides of the two transformers, and pushing a deviation result and change information to a user.
Further, when the tie line is at the 110kV side of the transformer, the area power difference is calculated by the following method:
ΔP＝Ps-(ΣPdi-ΣPgi) (2)；
wherein Ps is an equivalent load value of a corresponding node in the provincial dispatching data, Σ Pdi is a sum of load values of all effective branches of the sub-network in the local dispatching data, and Σ Pgi is a sum of generator values of all effective branches of the sub-network in the local dispatching data.
Further, when the area power difference is within the difference range given by the user, closing the corresponding equivalent load in the provincial dispatching data; and when the area power difference is out of the difference range given by the user, changing the equivalent load value Ps of the corresponding transformer 110kV side in the provincial dispatching data to meet the deviation.
Further, the deviation range can be adjusted according to the needs of a user, data deviation judgment is carried out again after modification is finished, data closing or adjustment is carried out according to the judgment result, and a data fusion splicing result is output.
Further, the method also comprises the steps of processing the generator table, analyzing a TYPE TYPE field of the generator table in the local dispatching data, and closing all balance machine nodes of the sub-network in the local dispatching data when the TYPE is 0.
In summary, due to the adoption of the technical scheme, the invention has the beneficial effects that: the method for fusion splicing of the off-line simulation data of the power grid is provided, automatic fusion splicing of simulation data of provincial and local dispatching full voltage levels is achieved, fusion splicing efficiency is improved, the problems that errors are prone to occurring, tide is not converged and voltage is abnormal in the existing splicing technology are solved, fusion splicing results are accurate, data are complete, the influence of new energy power supply permeability increase on the stability of the power grid can be effectively analyzed and evaluated, key constraint links are identified, data diagnosis is carried out, guidance is provided for new energy access, and therefore the stability and the power supply reliability of the power grid are enhanced.
Meanwhile, the accuracy of the data can be checked through manual secondary verification, the deviation range parameters can be adjusted at any time, different numerical values can be drawn up as required, and the result precision is further improved.
Additional aspects and advantages of the invention will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention.
Drawings
The above and/or additional aspects and advantages of the present invention will become apparent and readily appreciated from the following description of the embodiments, taken in conjunction with the accompanying drawings of which:
fig. 1 is a flowchart of a power grid offline simulation data fusion splicing method according to an embodiment of the present invention.
Detailed Description
In order that the above objects, features and advantages of the present invention can be more clearly understood, a more particular description of the invention will be rendered by reference to the appended drawings. It should be noted that the embodiments and features of the embodiments of the present application may be combined with each other without conflict.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention, however, the present invention may be practiced otherwise than as specifically described herein, and thus the scope of the present invention is not limited by the specific embodiments disclosed below.
The following describes a power grid offline simulation data fusion splicing method provided according to some embodiments of the present invention with reference to fig. 1.
Some embodiments of the application provide a power grid offline simulation data fusion splicing method.
As shown in fig. 1, a first embodiment of the present invention provides a power grid offline simulation data fusion splicing method, which includes the following steps:
s1, acquiring off-line simulation data, reading scheduling data files at all levels, analyzing VERSION fields of the Info worksheet, and screening worksheets with the same VERSION fields;
the Info worksheet comprises a bus meter, an alternating current meter, a shunt capacitance reactor meter, a two-winding transformer meter, a three-winding transformer meter, a generator meter, a load meter and the like.
And S2, determining the splicing sequence, extracting the same bus data in each level of scheduling data, using the bus data as a boundary bus, using the boundary bus as a tie line of adjacent off-line simulation data, and determining the scheduling level to which the tie line belongs.
When the scheduling grades are different, the upper-level scheduling grade is arranged in front, the lower-level scheduling grade is arranged in back, when the scheduling grades are the same, the current-level scheduling grade is arranged in front, and the rest scheduling data are arranged in back. In this embodiment, the provincial dispatching data and the local dispatching data are superimposed according to the principle that the provincial dispatching data is before and the local dispatching data is after, each level of dispatching is according to the principle of unified dispatching and hierarchical management, the provincial dispatching offline simulation data includes a grid frame with a voltage level of 220kV or above, the local dispatching offline simulation data includes a grid frame with a voltage level of 110kV or below, and it is noted that the provincial dispatching offline simulation data and the local dispatching offline simulation data overlap at the boundary, and the boundary and the attribution of the boundary need to be determined.
The boundary bus determining method comprises the following steps:
s21, analyzing Bus _ Name and Base _ kV fields of the Bus table in each level of scheduling data;
s22, extracting buses with the same Bus _ Name fields in different scheduling data Bus tables as boundary buses;
s23, the voltage class of the boundary bus is the same as the Base _ kV field data of the bus in the original table.
The method for judging the scheduling level of the junctor comprises the following steps:
if the number of the boundary buses is more than 0 and the voltage grades are all 220kV, the connecting line is arranged on the 220kV side;
if the number of the boundary buses is more than 0 and the voltage grades are all 110kV, the connecting line is arranged on the 110kV side;
if the number of the boundary buses is greater than 0 and the voltage class includes 110kV and 220kV, it means that the tie lines are simultaneously provided on the 220kV side and the 110kV side.
S3, calculating the data deviation of the position of the contact line before the data table fusion;
when the tie line is at the 220kV side of the transformer, comparing whether the parameters of the reactance x and the resistance r of each side of the transformer connected with the tie line are consistent or not, wherein the comparison method comprises the following steps:
AG＝(Si-Di)/Di (1)；
wherein A isGFor tie line data deviation, SiTo save the parameters of the individual sides of the transformer connected to the tie line in the data, (i ═ x, r.. multidot.), DiFor each side parameter of the transformer in the ground tone data.
When the tie line is at the 110kV side of the transformer, calculating the regional power difference value, wherein the calculation method comprises the following steps:
ΔP＝Ps-(ΣPdi-ΣPgi) (2)；
wherein Ps is an equivalent load value of a corresponding node in the provincial dispatching data, Σ Pdi is a sum of load values of all effective branches of the sub-network in the local dispatching data, and Σ Pgi is a sum of generator values of all effective branches of the sub-network in the local dispatching data.
The deviation range can be adjusted according to the needs of a user, data deviation judgment is carried out again after modification is finished, data closing or adjustment is carried out according to the judgment result, and a data fusion splicing result is output.
And S4, judging whether the data deviation in S2 meets the deviation range given by the user, closing or adjusting the data, and fusing and splicing the offline simulation data of the main network and the sub-network.
When A isGWhen the deviation range given by a user is within, closing corresponding transformer data in provincial dispatching data; and when the deviation does not meet the requirement, closing a corresponding transformer high-voltage side switch in the local dispatching data, simultaneously adding short connecting wires of 110kV buses at the medium-voltage sides of the two transformers, and pushing the deviation result and the change information to a user.
When the regional power difference value delta P is within the difference value range given by the user, closing the corresponding equivalent load in the provincial dispatching data; and when the area power difference is out of the difference range given by the user, changing the equivalent load value Ps of the corresponding transformer 110kV side in the provincial dispatching data to meet the deviation.
The method also comprises the steps of processing the generator table, analyzing a TYPE TYPE field of the generator table in the local dispatching data, and closing all balanced machine nodes of the sub-network in the local dispatching data when the TYPE is 0. When the TYPE is 0, the data is expressed as a subnet balancer, after provincial dispatching and local dispatching data are spliced, a power supply of the subnet is supplied by a main network without a virtual subnet balancer, all balancer nodes of the local dispatching data file subnet are closed, and incorrect tide results caused by a plurality of balancers in the whole network during tide calculation are avoided.
The main network is provincial dispatching data, the sub-network is local dispatching data, offline simulation data of the main network and the sub-network after data processing are fused and overlapped to generate a complete network frame containing all data of a network frame with a voltage level of 220kV or above and a network frame with a voltage level of 110kV or below, therefore, the influence of the permeability increase of the new energy power supply on the stability of the power grid is evaluated according to the network frame, the power flow distribution of each link on the network frame is analyzed, and key constraint links are distinguished.
In the description herein, the description of the terms "one embodiment," "some embodiments," "specific embodiments," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
The above is only a preferred embodiment of the present invention, and is not intended to limit the present invention, and various modifications and changes will occur to those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111435054.7A CN114092280B (en) | 2021-11-29 | 2021-11-29 | Power grid offline simulation data fusion splicing method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111435054.7A CN114092280B (en) | 2021-11-29 | 2021-11-29 | Power grid offline simulation data fusion splicing method |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN114092280A true CN114092280A (en) | 2022-02-25 |
| CN114092280B CN114092280B (en) | 2024-04-09 |
Family
ID=80305737
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202111435054.7A Active CN114092280B (en) | 2021-11-29 | 2021-11-29 | Power grid offline simulation data fusion splicing method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN114092280B (en) |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102184331A (en) * | 2011-05-12 | 2011-09-14 | 中国电力科学研究院 | Method for splicing and integrating models in real-time simulation system of large power system |
| CN103996325A (en) * | 2014-05-23 | 2014-08-20 | 国家电网公司 | Teaching plan manufacturing method in multi-level scheduling integrated mode in training system |
| CN104036338A (en) * | 2013-10-11 | 2014-09-10 | 北京清软创新科技有限公司 | Database-based BPA data distributed management method |
| CN109145362A (en) * | 2018-07-02 | 2019-01-04 | 中国电力科学研究院有限公司 | A kind of power network modeling method and system |
| CN110033195A (en) * | 2019-04-18 | 2019-07-19 | 国网辽宁省电力有限公司葫芦岛供电公司 | Adjust grid model splicing method to a kind of province based on CIM/CIS |
| CN110852533A (en) * | 2019-11-29 | 2020-02-28 | 国网四川省电力公司电力科学研究院 | Automatic extraction and equivalent method of power flow in power grid operation based on CIM/E and QS files |
-
2021
- 2021-11-29 CN CN202111435054.7A patent/CN114092280B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102184331A (en) * | 2011-05-12 | 2011-09-14 | 中国电力科学研究院 | Method for splicing and integrating models in real-time simulation system of large power system |
| CN104036338A (en) * | 2013-10-11 | 2014-09-10 | 北京清软创新科技有限公司 | Database-based BPA data distributed management method |
| CN103996325A (en) * | 2014-05-23 | 2014-08-20 | 国家电网公司 | Teaching plan manufacturing method in multi-level scheduling integrated mode in training system |
| CN109145362A (en) * | 2018-07-02 | 2019-01-04 | 中国电力科学研究院有限公司 | A kind of power network modeling method and system |
| CN110033195A (en) * | 2019-04-18 | 2019-07-19 | 国网辽宁省电力有限公司葫芦岛供电公司 | Adjust grid model splicing method to a kind of province based on CIM/CIS |
| CN110852533A (en) * | 2019-11-29 | 2020-02-28 | 国网四川省电力公司电力科学研究院 | Automatic extraction and equivalent method of power flow in power grid operation based on CIM/E and QS files |
Also Published As
| Publication number | Publication date |
|---|---|
| CN114092280B (en) | 2024-04-09 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110795921B (en) | Automatic generation and verification method for monitoring information of intelligent substation equipment | |
| CN102567603B (en) | Method for automatically generating BPA calculation file based on actual measurement topology and measured data | |
| CN110276532B (en) | Power distribution network reliability calculation method based on research of load blocks | |
| CN102999792B (en) | A kind of method of comprehensive evaluation of power distribution network optimization allocation | |
| CN103605027B (en) | Source electricity system falls in a kind of line voltage temporarily | |
| CN103177341A (en) | Line loss lean comprehensive management system and method | |
| CN107180314A (en) | A kind of O＆M business model modeling method based on an electrical secondary system incidence relation | |
| CN102495850A (en) | Method for splicing multi-stage multi-region interconnected power grid relay protection model | |
| CN104156890A (en) | Wind power grid-connection scheme decision method | |
| CN112583119A (en) | Low-voltage intelligent platform area simulation platform system based on intelligent fusion terminal | |
| CN107591802A (en) | A kind of abstract method of calibration of distribution network model | |
| CN115622053B (en) | Automatic load modeling method and device for considering distributed power supply | |
| CN107016472A (en) | A kind of multiple target power distribution network optimizing operating mode method and optimization system | |
| CN109710669A (en) | A method for improving the data accuracy of the whole power grid model based on the verification rule base | |
| CN114626575A (en) | Reactive power planning method for receiving-end power grid with high-penetration wind power considering transient voltage stability | |
| CN114092280A (en) | Power grid off-line simulation data fusion splicing method | |
| Liu et al. | Modeling simulation technology research for distribution network planning | |
| Chen et al. | Research on graph clustering based line loss prediction in low-voltage distribution network | |
| CN107565547A (en) | A kind of power distribution network operation reliability evaluation and optimization system | |
| CN108595372B (en) | Large-scale data rapid calculation method based on 10 kV power distribution network GIS system | |
| CN109327027A (en) | Scissors crossing line fault check method based on PSD-BPA | |
| CN115796711A (en) | Auxiliary decision-making method and device for loss reduction of distribution line | |
| CN115907526A (en) | Power grid voltage sag evaluation method and system, storage medium and computing device | |
| CN115049004A (en) | Power distribution network line loss management aid decision-making system based on multi-source data fusion | |
| CN110852533A (en) | Automatic extraction and equivalent method of power flow in power grid operation based on CIM/E and QS files |
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 | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |