Intelligent study and judgment auxiliary decision analysis method based on power distribution automation switch installation

Abstract

The invention discloses an intelligent study and judgment auxiliary decision analysis method based on distribution automation switch installation. The problems that the automation coverage rate of a power distribution network is low, a switch protection constant value is abnormal, and distribution of switch installation point positions is unreasonable are solved. According to the method, various data in operation and power distribution links are integrated, an integrated information platform is constructed, construction of a modern equipment management system is accelerated, lean operation and maintenance of a distribution network are enhanced, digital transformation of the distribution network is accelerated, power supply service capability is stably improved, power supply reliability improvement is comprehensively promoted, and power distribution network automation efficient improvement research work is developed. Power grid operation is improved, and efficiency and safety are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of power distribution automation switch installation, and in particular to an intelligent judgment auxiliary decision-making analysis method for power distribution automation switch installation. Background Art

[0002] With the development of the economy and society, users have higher and higher requirements for power supply quality, and distribution automation equipment has been connected to monitor and reduce the duration and number of power outages.

[0003] However, the current distribution network automation is still not perfect. When a distribution network fails, manual inspection is still required to determine the exact fault location, which is time-consuming and inefficient. Most of the power supply restoration still relies on manual operation of switches, and it may not be possible in time under severe weather conditions. Load management is also relatively passive, making it difficult to quickly come up with flexible load transfer and load balancing solutions. Summary of the invention

[0004] The technical problem solved by the present invention is to overcome the data integration, planning efficiency and accuracy of the prior art and provide decision support for distribution network planning, and provide an auxiliary decision analysis method based on the installation of distribution automation switches.

[0005] To achieve the above object, the present invention provides the following technical solution: based on a distribution automation switch equipped with intelligent judgment auxiliary decision analysis method, comprising the following steps:

[0006] S1: Data integration and standardization;

[0007] S2: Import the ledger model system;

[0008] S3: Switch protection setting value verification;

[0009] S4: Distribution automation coverage level statistics;

[0010] S5: Planning scheme for improving distribution automation coverage level.

[0011] Preferably, the data source of step 1 is composed of marketing system, power distribution management system, GIS geographic information system, meteorological data, economic and social development planning data, etc.;

[0012] And divided into the following steps:

[0013] a. Data collection: Automatically or manually capture raw data from each system, including load data, user information, equipment status, operation data, geographic information, meteorological data, development planning data, etc.;

[0014] b. Data cleaning: remove duplicate, erroneous, and missing data, process outliers, and ensure data quality;

[0015] c. Data conversion: convert data of different formats and codes into a standard format, such as unified device coding, geographic coordinate system, etc.;

[0016] d. Data storage: Import the cleaned and converted data into a unified data warehouse to form a complete database.

[0017] Preferably, the data source in step 2 is composed of the marketing and distribution database, historical load data, user growth trends, industrial policies, meteorological data, etc., and then the integrated data is imported into the system, and the graph model rules are verified to complete the graph model inspection.

[0018] Preferably, in step three, based on all the intelligent switches existing in the system, according to the line level, upstream and downstream relationships, etc., the field information such as overcurrent, quick break, time limit value, etc. of two adjacent switches are checked, and the positive and negative values ​​are compared.

[0019] Preferably, in step 4, constraints need to be written into the system in advance, and automatic coverage level division is performed according to the constraints;

[0020] Specifically:

[0021] Level A covers:

[0022] a. At least one segment site of the trunk line (must) achieve "three remote" coverage;

[0023] b. At least one contact site on the feeder line (if there is no contact site, this condition is met) achieves “three remote” coverage;

[0024] c. The maximum number of users isolated by the line "three remote control" equipment shall not exceed 15;

[0025] Level B coverage:

[0026] a. At least one segment site of the trunk line (must) achieve "three remote" coverage;

[0027] b. At least one contact site on the feeder line (if there is no contact site, this condition is met) achieves “three remote” coverage;

[0028] c. The maximum number of users isolated by the line's "three remote control" equipment shall not exceed 25.

[0029] Preferably, the step 5 is subdivided into the following points:

[0030] a. Calculate the minimum number of segments that meet the A-level coverage, MinSeg (using the ceil function), based on the total number of all users / the maximum number of isolated users covered by A-level. Then calculate the average number of isolated users in each segment, AvgUserNum, based on the total number of all users / MinSeg.

[0031] b. Plan each non-B / A level coverage line in turn;

[0032] c. Select a feeder. By default, all switches on the feeder are not equipped with automatic terminal devices. First, install three-remote terminals on the trunk segment switches on the feeder according to Class A coverage. If the conditions are not met, install three-remote switches on the trunk segment with a maximum isolated user larger than Class A coverage (if a larger branch cannot meet the requirements at this time, perform the same three-remote installation operation on the larger branch first). The principle of installation is to make the number of users in the segment as close to AvgUserNum as possible;

[0033] d. Adjust the unreasonable automatic coverage switch until the feeder meets the A-level coverage;

[0034] e. Install three-remote switch if two-remote / three-remote switch is not installed according to the main connection;

[0035] f. When the feeder meets the B / A level coverage, look for the next feeder;

[0036] g. Sort the feeders from easy to difficult according to the line arrival automation coverage rate. If the difficulty is the same, sort them from low to high according to the reliability, and output the automation planning results of each line.

[0037] Compared with the prior art, the present invention has the following beneficial effects:

[0038] The present invention solves the problems of low coverage of distribution network automation, abnormal switch protection setting, and unreasonable distribution of switch installation points. The method integrates various data of operation and distribution links to build an integrated information platform, accelerates the construction of a modern equipment management system, strengthens the lean operation and maintenance of distribution networks, accelerates the digital transformation of distribution networks, steadily improves power supply service capabilities, comprehensively promotes the improvement of power supply reliability, conducts research on the efficient improvement of distribution network automation, and improves power grid operation, efficiency, and safety. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] Figure 1 It is a flow chart of the present invention;

[0040] Figure 2 This is a schematic diagram of the automated coverage planning solution of the present invention;

[0041] Figure 3 This is a schematic diagram and data table of the automatic switch positions of the original solution in Case 1 of the present invention;

[0042] Figure 4 This is a schematic diagram and data table of the automatic switch position of the new solution in Case 1 of the present invention;

[0043] Figure 5A schematic diagram and data table of terminal positions for the original switch in Case 2 of the present invention;

[0044] Figure 6 This is a schematic diagram of the terminal position of the new solution switch in Case 2 of the present invention;

[0045] Figure 7 This is a schematic diagram and data table of the original solution intelligent switch position in Case 3 of the present invention;

[0046] Figure 8 This is a schematic diagram and data table of the position of the new solution intelligent switch in Case 4 of the present invention. DETAILED DESCRIPTION

[0047] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0048] Embodiment 1:

[0049] See also Figure 1-2 The present invention provides a technical solution: based on a distribution automation switch equipped with intelligent judgment auxiliary decision analysis method, comprising the following steps:

[0050] S1: Data integration and standardization;

[0051] Step 1: Data sources include marketing system, distribution management system, GIS geographic information system, meteorological data, economic and social development planning data, etc.

[0052] And divided into the following steps:

[0053] a. Data collection: Automatically or manually capture raw data from each system, including load data, user information, equipment status, operation data, geographic information, meteorological data, development planning data, etc.;

[0054] b. Data cleaning: remove duplicate, erroneous, and missing data, process outliers, and ensure data quality;

[0055] c. Data conversion: convert data of different formats and codes into a standard format, such as unified device coding, geographic coordinate system, etc.;

[0056] d. Data storage: import the cleaned and converted data into a unified data warehouse to form a complete database;

[0057] S2: Import the ledger model system;

[0058] The data sources in step 2 are composed of the marketing and distribution database, historical load data, user growth trends, industrial policies, meteorological data, etc. Then the integrated data is imported into the system, and the graph model rules are verified to complete the graph model inspection;

[0059] S3: Switch protection setting value verification;

[0060] In step 3, based on all the smart switches in the system, the overcurrent, quick-break, time limit and other field information of two adjacent switches are checked according to the line level, upstream and downstream relationships, and the positive and negative values ​​are compared;

[0061] S4: Distribution automation coverage level statistics;

[0062] In step 4, the constraints need to be written into the system in advance, and the automatic coverage level division is performed according to the conditions;

[0063] Specifically:

[0064] Level A covers:

[0065] a. At least one segment site of the trunk line (must) achieve "three remote" coverage;

[0066] b. At least one contact site on the feeder line (if there is no contact site, this condition is met) achieves “three remote” coverage;

[0067] c. The maximum number of users isolated by the line "three remote control" equipment shall not exceed 15;

[0068] Level B coverage:

[0069] a. At least one segment site of the trunk line (must) achieve "three remote" coverage;

[0070] b. At least one contact site on the feeder line (if there is no contact site, this condition is met) achieves “three remote” coverage;

[0071] c. The maximum number of users isolated by the line "three remote control" equipment shall not exceed 25;

[0072] S5: Planning scheme for improving the coverage level of distribution automation;

[0073] Step 5 is broken down into the following points:

[0074] a. Calculate the minimum number of segments that meet the A-level coverage, MinSeg (using the ceil function), based on the total number of all users / the maximum number of isolated users covered by A-level. Then calculate the average number of isolated users in each segment, AvgUserNum, based on the total number of all users / MinSeg.

[0075] b. Plan each non-B / A level coverage line in turn;

[0076] c. Select a feeder. By default, all switches on the feeder are not equipped with automatic terminal devices. First, install three-remote terminals on the trunk segment switches on the feeder according to Class A coverage. If the conditions are not met, install three-remote switches on the trunk segment with a maximum isolated user larger than Class A coverage (if a larger branch cannot meet the requirements at this time, perform the same three-remote installation operation on the larger branch first). The principle of installation is to make the number of users in the segment as close to AvgUserNum as possible;

[0077] d. Adjust the unreasonable automatic coverage switch until the feeder meets the A-level coverage;

[0078] e. Install three-remote switch if two-remote / three-remote switch is not installed according to the main connection;

[0079] f. When the feeder meets the B / A level coverage, look for the next feeder;

[0080] g. Sort the feeders from easy to difficult according to the line arrival automation coverage rate. If the difficulty is the same, sort them from low to high according to the reliability, and output the automation planning results of each line.

[0081] The creative points of this technical solution are:

[0082] 1. Based on the latest automation coverage classification status, taking into account the overall line failure rate, fault range, number of households during power outages, etc., generate a targeted automation coverage improvement plan.

[0083] 2. Innovation of digital planning models and algorithms: Research and develop new digital models and intelligent algorithms suitable for distribution network planning, such as GIS-based geographic information system planning models, load forecasting models, and automated coverage improvement decisions, to guide scientific decision-making in distribution network construction, transformation, and expansion.

[0084] 3. Dynamic optimization and adaptive capability innovation: The system has the ability to adjust and optimize transition plans and target grids based on cross-sectional data such as grid operation conditions and changes in user demand, in order to cope with the uncertainty of grid development and maintain the flexibility and foresight of distribution network planning.

[0085] 4. Visualization and decision-making support innovation: Develop advanced visualization tools and interfaces to intuitively display the current status and planning results of the distribution network, provide managers with complete graphical information, and support them in making more accurate decisions.

[0086] Summary: The innovation of this invention lies in the use of modern information technology to integrate multi-source data and realize digital management of the entire distribution network planning process, aiming to promote the improvement of power supply reliability, increase line automation coverage, and improve switch utilization and rationality of use.

[0087] Embodiment 2:

[0088] Implementation effectiveness analysis:

[0089] Case 1: Tiantai County Tianhu T410 Line:

[0090] like Figure 3 As shown: The original intelligent switch National Highway T2055 switch is installed at the 21# pole tower of Tianhu T410 line. According to the latest automation coverage level, the maximum number of users in this intelligent switch section is 32, which does not meet the coverage level requirements.

[0091] like Figure 4 As shown: According to the new coverage level constraint requirements and the current status of the line, the new planning scheme is: to move the National Highway T2055 switch from the original main line 21# pole to the Anke branch line 33# pole. The maximum number of users in the intelligent switch section of this line is 15, which meets the new coverage level A conditions.

[0092] Case 2: Tiantai County Baihe T655 line

[0093] like Figure 5 As shown: The original switch Shangyang Village T2403 switch is an ordinary contact switch. According to the latest automation coverage level, it does not meet the automation coverage level conditions.

[0094] like Figure 6 As shown: According to the new coverage level constraint requirements and the current status of the line, the new planning scheme is: to add three remote terminals to the original switch Shangyang Village T2403 switch to meet the requirements for increased automation coverage level.

[0095] Case 3: Tiantai County Huxi T629 line

[0096] like Figure 7 As shown: According to the latest automation coverage level, the maximum number of users in this smart switch area is 27, which does not meet the coverage level requirements.

[0097] like Figure 8 As shown: According to the new coverage level constraint requirements and the current status of the line, the new planning scheme is:

[0098] Install intelligent switches on the busbar section I of Huahong switch station, the branch switch of section I of Helanxuan switch station and the main line 42# of Huxi T629 line to meet the new coverage level A conditions.

[0099] Summary: By adding intelligent analysis and decision-making support to distribution automation switches, the duration of power outages has been greatly reduced, the failure rate of line equipment has been reduced, the number of households affected by power outages has been shortened, and the power supply reliability of the grid has been improved.

[0100] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A method for analyzing the installation of intelligent judgment and auxiliary decision-making for distribution automation switches includes the following steps, which are characterized in that: S1: Data integration and standardization; S2: Import the ledger model system; S3: Switch protection setting value verification; S4: Distribution automation coverage level statistics; S5: Planning scheme for improving distribution automation coverage level.

2. According to claim 1, the method for auxiliary decision-making analysis based on the installation of intelligent judgment for distribution automation switches is characterized by: The data sources of step 1 are composed of marketing system, power distribution management system, GIS geographic information system, meteorological data, economic and social development planning data, etc. And divided into the following steps: a. Data collection: Automatically or manually capture raw data from each system, including load data, user information, equipment status, operation data, geographic information, meteorological data, development planning data, etc.; b. Data cleaning: remove duplicate, erroneous, and missing data, process outliers, and ensure data quality; c. Data conversion: convert data of different formats and codes into a standard format, such as unified device coding, geographic coordinate system, etc.; d. Data storage: Import the cleaned and converted data into a unified data warehouse to form a complete database.

3. According to claim 1, the method for auxiliary decision-making analysis based on the installation of intelligent judgment of distribution automation switches is characterized by: The data sources in the step 2 are composed of the marketing and distribution database, historical load data, user growth trends, industrial policies, meteorological data, etc. The integrated data is then imported into the system, and the graph model rules are verified to complete the graph model inspection.

4. According to claim 1, the method for auxiliary decision-making analysis based on the installation of intelligent judgment for distribution automation switches is characterized by: In the step three, based on all the smart switches in the system, according to the line level, upstream and downstream relationships, etc., the field information such as overcurrent, quick break, time limit value, etc. of two adjacent switches are checked, and the positive and negative values ​​are compared.

5. According to claim 1, the method for auxiliary decision-making analysis based on the installation of intelligent judgment of distribution automation switches is characterized by: In the step 4, it is necessary to write the constraint conditions into the system in advance, and automatically divide the coverage levels according to the conditions;. Specifically: Level A covers: a. At least one segmented station on the trunk line has achieved "three remote" coverage; b. At least one contact site on the feeder line achieves "three remote" coverage; c. The maximum number of users isolated by the "three remote control" equipment of the line shall not exceed 15; Level B coverage: a. At least one segmented station on the trunk line has achieved "three remote" coverage; b. At least one contact site on the feeder line achieves "three remote" coverage; c. The maximum number of users isolated by the line's "three remote control" equipment shall not exceed 25.

6. The method for auxiliary decision-making analysis based on the installation of intelligent judgment for distribution automation switches according to claim 1 is characterized in that: The step five is subdivided into the following points: a. Calculate the minimum number of segments that meet the A-level coverage, MinSeg, based on the total number of all users / the maximum number of isolated users covered by A-level. Then calculate the average number of isolated users in each segment, AvgUserNum, based on the total number of all users / MinSeg. b. Plan each non-B / A level coverage line in turn; c. Select a feeder line. By default, all switches on the feeder line are not equipped with automatic terminal devices. First, install three-remote terminals on the trunk segment switches on the feeder line according to Class A coverage. If the conditions are not met, install three-remote switches on the trunk segment with the largest isolated user greater than Class A coverage. The principle of installation is to make the users in the segment as close to AvgUserNum as possible; d. Adjust the unreasonable automatic coverage switch until the feeder meets the A-level coverage; e. Install three-remote switch if two-remote / three-remote switch is not installed according to the main connection; f. When the feeder meets the B / A level coverage, look for the next feeder; g. Sort the feeders from easy to difficult according to the line arrival automation coverage rate. If the difficulty is the same, sort them from low to high according to the reliability, and output the automation planning results of each line.

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