CN108898239A - A kind of site selection method for distribution transformer based on data analysis - Google Patents
A kind of site selection method for distribution transformer based on data analysis Download PDFInfo
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- CN108898239A CN108898239A CN201810530986.1A CN201810530986A CN108898239A CN 108898239 A CN108898239 A CN 108898239A CN 201810530986 A CN201810530986 A CN 201810530986A CN 108898239 A CN108898239 A CN 108898239A
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- distribution transformer
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- 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
- G06Q10/00—Administration; Management
- G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
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- 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—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/06—Electricity, gas or water supply
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- 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
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- 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
Abstract
A kind of site selection method for distribution transformer based on data analysis,By passing through the related data and environmental factor to transformer itself when carrying out distribution transformer addressing,The analysis of economic factor,Reasonably optimizing is carried out to the addressing of distribution transformer,It is analyzed to historical data,Prediction to new region future load size,The site selecting method that the comprehensive consideration such as the influence of environmental factor is made after calculating,The method increase the service lifes of distribution transformer,The efficiency and economic benefit used,Prevent and reduces distribution transformer because of the probability of economic loss caused by the accidents such as heavy-overload,Improve the efficiency of network operation and the satisfaction for increasing client for network operation,Improve the rationality of location of distribution transformer,Extend the service life of transformer,Greatly reduce economic loss,And increase utilization benefit,Can distribution transformer carry out addressing installation when carry out using.
Description
Technical field
The invention belongs to adapted electro-technical fields, and in particular to a kind of distribution transformer addressing side based on data analysis
Method.
Background technique
Currently, distribution transformer addressing is the key problem of distribution transforming planning, needs to meet planning load point power demand
Meanwhile in conjunction with local economic and technical norms, determines the position of transformer, need to consider during the position addressing of transformer
Geography information factor, Social Ecology factor, economic factor etc..During existing distribution transformer addressing, the side of selection
Method is simple, and the factor of consideration is unilateral single, it is easy to go wrong during the work of transformer from now on.
Chinese patent (publication number：CN102722765B a kind of site selection method for distribution transformer) is disclosed, is connected using unit
Continuous site selecting method combination load point carries out addressing distribution to section transformer, but considers in its calculating and site selecting method local
The factors such as geography information, Social Ecology and economy, the distribution transformer configured in subsequent work very likely because
Above-mentioned factor is led to the problem of.Accordingly, it is desirable to provide a kind of distribution for comprehensively considering environmental factor, social factor and economic factor
Transformer site selecting method.
Summary of the invention
In order to solve the above technical problems, the present invention provides a kind of site selection method for distribution transformer based on data analysis.
The present invention is achieved by the following technical programs.
A kind of site selection method for distribution transformer based on data analysis provided by the invention, includes the following steps：
Step 1, the related data of collecting zone distribution transformer；
Step 2 analyzes the related data for the region distribution transformer being collected into；
Step 3 establishes site selection model method according to data analysis result；
Step 4 optimizes transformer addressing according to different zones.
Further, in the step 1, the data of the region transformer of collection include transformer type number, the appearance of transformer
The time critical data that amount, transformer generate heavy-overload casualty data after installing and using and use.
Further, in the step 1, the related data of the distribution transformer of required collection includes distribution transformer peace
The height above sea level of holding position, long-term temperature and humidity.
Further, in the step 1, the related data of the distribution transformer of required collection includes the distribution transformer
Big load number of users in institute coverage, the economic total volume generated every year and because accident caused by economic loss it is total
Amount.
Further, in the step 2 to the analysis of the data of the region transformer of collection include to missing data and
Abnormal data is analyzed, wherein relevant historical events and historical data need to be combined when analyzing data abnormal point
It is analyzed.
Further, in the step 3, when establishing distribution transformer site selection model, the load of installation region is carried out first
Then number, the economic appearance of distribution transformer are established in analysis prediction according to the compound size in required installation distribution transformer region
Amount and economic power supply radius carry out computation modeling.
Further, in the step 4, when carrying out distribution transformer addressing optimization, the environment feelings according to different zones are needed
Condition optimizes assessment, one reasonable addressing scheme of final output to the position of addressing.
The beneficial effects of the present invention are：Implementation through the invention, when carrying out distribution transformer addressing by change
The analysis of the related data and environmental factor, economic factor of depressor itself carries out reasonably optimizing to the addressing of distribution transformer,
It is analyzed to historical data, the prediction to new region future load size, the comprehensive consideration such as influence of environmental factor
The site selecting method made after calculating, the method increase the service life of distribution transformer, the efficiency and economic benefit used,
Prevent and reduce distribution transformer because of the probability of economic loss caused by the accidents such as heavy-overload, improve network operation efficiency and
Client is increased for the satisfaction of network operation, the rationality of location of distribution transformer is improved, extends making for transformer
With the service life, greatly reduce economic loss, and increase utilization benefit, can be made when distribution transformer carries out addressing installation
With.
Detailed description of the invention
Fig. 1 is the flow diagram of distribution transformer addressing process of the invention.
Specific embodiment
Be described further below technical solution of the present invention, but claimed range be not limited to it is described.
As shown in Figure 1, a kind of site selection method for distribution transformer based on data analysis, includes the following steps：
Step 1, the related data of collecting zone distribution transformer；
Step 2 analyzes the related data for the region distribution transformer being collected into；
Step 3 establishes site selection model method according to data analysis result；
Step 4 optimizes transformer addressing according to different zones.
Further, in the step 1, the data of the region transformer of collection include transformer type number, the appearance of transformer
The time critical data that amount, transformer generate heavy-overload casualty data after installing and using and use.
Further, in the step 1, the related data of the distribution transformer of required collection includes distribution transformer peace
The height above sea level of holding position, long-term temperature and humidity.
Further, in the step 1, the related data of the distribution transformer of required collection includes the distribution transformer
Big load number of users in institute coverage, the economic total volume generated every year and because accident caused by economic loss it is total
Amount.
Collected historical data makes analysis and research only for account of the history, when carrying out new addressing, needs pair
The relevant historical data and present real time data of new addressing are collected.
Further, in the step 2 to the analysis of the data of the region transformer of collection include to missing data and
Abnormal data is analyzed, wherein relevant historical events and historical data need to be combined when analyzing data abnormal point
It is analyzed.Due to occur under special historical events abnormal data be in power grid it is easy to appear the problem of, Bu Nengjian
The deletion of single carry out data, needs to analyze data, individually proposes to be used as special case analysis, occurs in similar event
In the case where need to carry out it special analysis, in addition to the missing values to data and other than exceptional value must handle analysis, also need
Relationship between related data in initial data is calculated, emerge from unconspicuous data relationship in data.
For the more convenient relationship found out between hiding factor, using gene expression programming to because
Prime factor carries out automatic evolutionary analysis, and gene expression programming is existing by the automatic combined transformation acquisition of computer program
The process of relationship between characterization factor data, entire construction process need computer to be automatically performed and extract to close with goal in research height
The functional based method of the characterization factor of connection degree newly constructed, timing statistical factors composite construction has：Sum, Ma, Min, Max etc.；Core point
The functional based method of cloth combinations of factors construction has：KfGaussian Gaussian kernel, KfLog Log core, KfIdentity linear kernel etc.；
Multidimensional operation combinations of factors construction functional based method have+,-, * ,/,>,<, Sin, Log etc., used functional based method is not only
Only these cited.
Further, in the step 3, when establishing distribution transformer site selection model, the load of installation region is carried out first
Then number, the economic appearance of distribution transformer are established in analysis prediction according to the payload in required installation distribution transformer region
Amount and economic power supply radius carry out computation modeling.
Specifically, step 3, when establishing distribution transformer site selection model, the load Analysis of progress installation region first is pre-
It surveys, the load prediction of electricity consumption region is analyzed using LSTM time series forecasting analysis model, according to the historical data in other regions
It carries out model training and predicts the load in region future using the load Correlative Influence Factors of obtained models coupling new region
Maximum, then according to it is required installation distribution transformer region payload reasonable distribution establish with point transformer number,
Economic Capacity and economic power supply radius computation modeling determine the number and load of the transformer in the region according to model result.
Further, in the step 4, when progress distribution transformer addressing position determines, the ring according to different zones is needed
Border situation optimizes assessment, one reasonable addressing scheme of final output to the position of addressing.The addressing side of the step 3
Method is theoretic reasonable plant-site selection mode, in practical situations, it is also necessary to consider the geographical location circumstances in region locating for addressing,
Climatic condition, humane situation etc..
Further, when being determined to addressing position, using Hierarchy Analysis Method by geographical location circumstances, climatic condition,
The influence factors such as humane situation are divided into different brackets, and statistics excavates the geographical location ring of the substation site selection position in historical data
Each factor is given corresponding score value according to different division ownership, in conjunction with change by border, climatic condition, the factors such as humane situation
Depressor addressing, installation such as use to carry out accounting division for every a kind of effect on addressing determines at all kinds of experts, according to
Final accounting average value establishes the multiple linear regression equations of the final influence factor of addressing, so that the load of Optimizing Site Selection holds
Amount, equipment selection, safeguard procedures etc..
The present invention by when carrying out distribution transformer addressing by related data to transformer itself and environment because
The analysis of element, economic factor carries out reasonably optimizing to the addressing of distribution transformer, analyzes to historical data, to new district
The prediction of domain future load size, the site selecting method that the comprehensive consideration such as influence of environmental factor is made after calculating, the party
Method improves the service life of distribution transformer, the efficiency and economic benefit used, prevents and reduces distribution transformer because of weight
The accidents such as overload cause the probability of economic loss, improve the efficiency of network operation and increase client's expiring for network operation
Meaning degree improves the rationality of location of distribution transformer, extends the service life of transformer, greatly reduces economic loss, and
And increase utilization benefit, can distribution transformer carry out addressing installation when carry out using.
Claims (7)
1. a kind of site selection method for distribution transformer based on data analysis, it is characterised in that include the following steps：
Step 1, the related data of collecting zone distribution transformer；
Step 2 analyzes the related data for the region distribution transformer being collected into；
Step 3 establishes site selection model method according to data analysis result；
Step 4 optimizes transformer addressing according to different zones.
2. the site selection method for distribution transformer as described in claim 1 based on data analysis, it is characterised in that：The step 1
In, the data of the region transformer of collection include that transformer type number, the capacity of transformer, transformer generate after installing and using
Heavy-overload casualty data and the time critical data used.
3. the site selection method for distribution transformer as described in claim 1 based on data analysis, it is characterised in that：The step 1
In, the related data of the distribution transformer of required collection include the height above sea level of distribution transformer installation site, long-term temperature with
And humidity.
4. the site selection method for distribution transformer as described in claim 1 based on data analysis, it is characterised in that：The step 1
In, the related data of the distribution transformer of required collection includes the big load number of users in the distribution transformer institute coverage
Amount, the economic total volume generated every year and because economic loss total amount caused by accident.
5. the site selection method for distribution transformer as described in claim 1 based on data analysis, it is characterised in that：The step 2
In include analyzing missing data and abnormal data to the analysis of the data of the region transformer of collection, wherein right
Data exception point need to be analyzed when being analyzed in conjunction with relevant historical events and historical data.
6. the site selection method for distribution transformer as described in claim 1 based on data analysis, it is characterised in that：The step 3
In, when establishing distribution transformer site selection model, then the load Analysis prediction of progress installation region first is matched according to required installation
The number, Economic Capacity and economic power supply radius that the compound size in piezoelectric transformer region establishes distribution transformer calculate and are built
Mould.
7. the site selection method for distribution transformer as described in claim 1 based on data analysis, it is characterised in that：The step 4
In, when carrying out distribution transformer addressing optimization, the ambient conditions according to different zones is needed to optimize assessment to the position of addressing,
One reasonable addressing scheme of final output.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201810530986.1A CN108898239A (en) | 2018-05-29 | 2018-05-29 | A kind of site selection method for distribution transformer based on data analysis |
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| CN201810530986.1A CN108898239A (en) | 2018-05-29 | 2018-05-29 | A kind of site selection method for distribution transformer based on data analysis |
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110570046A (en) * | 2019-09-18 | 2019-12-13 | 谢国宇 | site selection method and system for environment monitoring site |
| CN110648161A (en) * | 2019-08-05 | 2020-01-03 | 中移（杭州）信息技术有限公司 | Benefit evaluation method and device for commercial site selection and storage medium |
| CN110751338A (en) * | 2019-10-23 | 2020-02-04 | 贵州电网有限责任公司 | Construction and early warning method for heavy overload characteristic model of distribution transformer area |
| CN113807013A (en) * | 2021-09-17 | 2021-12-17 | 中国联合网络通信集团有限公司 | Method and device for processing data of sky, electronic equipment and readable storage medium |
| CN114677048A (en) * | 2022-04-22 | 2022-06-28 | 北京阿帕科蓝科技有限公司 | Demand area mining method |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US8116916B1 (en) * | 2009-10-20 | 2012-02-14 | Southern Company Services, Inc. | Homogeneity based diversity prediction method for transformer selection |
| CN102521509A (en) * | 2011-12-13 | 2012-06-27 | 重庆市电力公司万州供电局 | Method for achieving optimal location of distribution transformer by improved iterative algorithm |
| CN103310307A (en) * | 2013-06-21 | 2013-09-18 | 南方电网科学研究院有限责任公司 | Power system planning scheme flexibility assessment method based on probability risk assessment |
| CN104504183A (en) * | 2014-12-10 | 2015-04-08 | 广州供电局有限公司 | Power distribution network intelligent planning system based on automatic optimization |
| CN104598983A (en) * | 2014-12-03 | 2015-05-06 | 国家电网公司 | Distribution transformer mounting position determining method and device |
| CN105046368A (en) * | 2015-08-11 | 2015-11-11 | 国家电网公司 | Method for selecting main substation capacity and optimal station address of transformer substation |
| CN105373969A (en) * | 2015-11-26 | 2016-03-02 | 广东电网有限责任公司湛江供电局 | Power distribution line wind resistance capability assessment method and system |
| CN107590568A (en) * | 2017-09-20 | 2018-01-16 | 上海合泽电力工程设计咨询有限公司 | A kind of load forecasting method that becomes more meticulous based on space subdivision |
-
2018
- 2018-05-29 CN CN201810530986.1A patent/CN108898239A/en active Pending
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US8116916B1 (en) * | 2009-10-20 | 2012-02-14 | Southern Company Services, Inc. | Homogeneity based diversity prediction method for transformer selection |
| CN102521509A (en) * | 2011-12-13 | 2012-06-27 | 重庆市电力公司万州供电局 | Method for achieving optimal location of distribution transformer by improved iterative algorithm |
| CN103310307A (en) * | 2013-06-21 | 2013-09-18 | 南方电网科学研究院有限责任公司 | Power system planning scheme flexibility assessment method based on probability risk assessment |
| CN104598983A (en) * | 2014-12-03 | 2015-05-06 | 国家电网公司 | Distribution transformer mounting position determining method and device |
| CN104504183A (en) * | 2014-12-10 | 2015-04-08 | 广州供电局有限公司 | Power distribution network intelligent planning system based on automatic optimization |
| CN105046368A (en) * | 2015-08-11 | 2015-11-11 | 国家电网公司 | Method for selecting main substation capacity and optimal station address of transformer substation |
| CN105373969A (en) * | 2015-11-26 | 2016-03-02 | 广东电网有限责任公司湛江供电局 | Power distribution line wind resistance capability assessment method and system |
| CN107590568A (en) * | 2017-09-20 | 2018-01-16 | 上海合泽电力工程设计咨询有限公司 | A kind of load forecasting method that becomes more meticulous based on space subdivision |
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110648161A (en) * | 2019-08-05 | 2020-01-03 | 中移（杭州）信息技术有限公司 | Benefit evaluation method and device for commercial site selection and storage medium |
| CN110570046A (en) * | 2019-09-18 | 2019-12-13 | 谢国宇 | site selection method and system for environment monitoring site |
| CN110570046B (en) * | 2019-09-18 | 2022-03-01 | 谢国宇 | Site selection method and system for environment monitoring site |
| CN110751338A (en) * | 2019-10-23 | 2020-02-04 | 贵州电网有限责任公司 | Construction and early warning method for heavy overload characteristic model of distribution transformer area |
| CN113807013A (en) * | 2021-09-17 | 2021-12-17 | 中国联合网络通信集团有限公司 | Method and device for processing data of sky, electronic equipment and readable storage medium |
| CN114677048A (en) * | 2022-04-22 | 2022-06-28 | 北京阿帕科蓝科技有限公司 | Demand area mining method |
| CN114677048B (en) * | 2022-04-22 | 2024-01-16 | 北京阿帕科蓝科技有限公司 | Method for excavating demand area |
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