CN110298056A - A kind of power distribution network contact efficiency assessment method - Google Patents
A kind of power distribution network contact efficiency assessment method Download PDFInfo
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Abstract
The invention discloses a kind of power distribution networks to get in touch with efficiency assessment method, including five steps: step 1: data acquisition；Step 2: data prediction；Step 3: building correlation model；Step 4: value analysis；Step 5: data visualization is shown.Beneficial effects of the present invention: the multidimensional datas such as more data platform acquisition power failure frequency such as Power SCADA system, power information acquisition system, PMS system, OMS system, generation of electricity by new energy are utilized.It is analyzed from five visual angles such as the open capacity of distribution line, quality of voltage, protection sensitivity, power supply reliability, new energy accesses; existing Distribution Network Frame is diagnosed; depth, which is excavated, promotes power distribution network contact sensing capability; to utilize limited resources; support is provided to greatest extent for power distribution network contact construction; power customer is preferably serviced, industrial competition of the company in increment power distribution network city off field is promoted, forms benign cycle.
Description
Technical field
The present invention relates to intelligent distribution network evaluation areas more particularly to a kind of power distribution network to get in touch with efficiency assessment method.
Background technique
Distribution Network Frame is electrical energy production, conveying and last ring utilized, is contacted very closely with user, is that guarantee can
It leans on, the basis of quality supply.With the development of intelligent power distribution network construction, SCADA system, generalized information system, PMS system, big data,
The popularization and application of the technology platforms such as cloud computing, the continuous involvement of the new models energy such as distributed generation resource, micro-capacitance sensor, policy control
Increase with management difficulty, how to improve safety, the reliability, economy, high efficiency, adaptability of intelligent distribution network scheduling controlling
It is to have hot issue to be solved with spatter property etc., constructs one rationally and general intelligent distribution network scheduling controlling is horizontal
Assessment indicator system and method provide strong theoretical foundation for the solution of the above problem, are always a difficulties, especially
Evaluation index.
95% or more user's power failure at present is as caused by distribution system, and power grid energy has half loss in power distribution network, hair
Open up the intelligent urgent need to resolve following problems of China's power distribution network:
Power distribution network optimization operation and self-healing control problem；2, influence problem of the distributed power generation to power distribution network；3, it supports renewable
The policy and market operation problem of energy power generation；4, influence problem of the novel hybrid electric car to power distribution network；5 distribution are stifled
Plug problem；6；User participates in power grid and interacts problem；7, the transition problem of load pattern.
Chinese patent, publication number: publication date: 105279346 A of CN is disclosed a kind of for commenting on January 27th, 2016
Estimate the method that power distribution network receives distributed photovoltaic ability.It includes the factor analysis for limiting distributed photovoltaic and receiving ability；Building
Distributed photovoltaic receives capability analysis Optimized model；Timing verification is carried out for specific photovoltaic allocation plan；It chooses and is suitable for light
Volt receives the optimization algorithm of capability analysis；The comprehensive receiving capability analysis of photovoltaic and etc..The method of the present invention is from distributed photovoltaic pair
The operation mechanism of power distribution network and the influence of analysis model are started with, and combing out influences the key factor that power grid receives photovoltaic ability,
Optimized model and optimization method that the photovoltaic under Time-Series analysis frame receives ability are established, but the factor considered is excessively single
One, cause the sensing capability of power grid low.
Summary of the invention
In order to solve to get in touch with because of power distribution network validity it is low caused by load transfer difficulty, low-voltage, power transmission radius it is too long, frequently
Numerous power failure, new energy access the problems such as limited, and the invention proposes a kind of power distribution networks to get in touch with efficiency assessment method, utilize
Power SCADA system (i.e. data acquisition and supervisor control), power information acquisition system, PMS system (i.e. manage by engineering production
Reason system), more data platforms acquisition power failure frequency such as OMS system (i.e. operation management system), the multidimensional number such as generation of electricity by new energy
According to.It is carried out from five visual angles such as the open capacity of distribution line, quality of voltage, protection sensitivity, power supply reliability, new energy accesses
Analysis, diagnoses existing Distribution Network Frame, and depth, which is excavated, promotes power distribution network contact sensing capability, thus using limited resources,
Support is provided for power distribution network contact construction to greatest extent, preferably service power customer, promotes company in increment power distribution network market
Under industrial competition, formed benign cycle.
To realize the above-mentioned technical purpose, a kind of technical solution provided by the invention is, a kind of power distribution network contact validity is commented
Estimate method, includes the following steps:
Step 1: data acquisition；
Step 2: data prediction；
Step 3: building correlation model；
Step 4: value analysis；
Step 5: data visualization is shown.
In the present solution, obtaining line load data, daily valley voltage data, account information first from each electric system or platform
Data, monthly public, distribution transforming power failure managing detailed catalogue data, then clean data, Rulemaking, it is ensured that data it is effective
Property；Secondly building contact Validity Index affairs library, utilizes Appriori algorithm Mining Frequent Itemsets Based stepwise；It utilizes again
The min_s and min_c of Appriori algorithm judge to influence 14 key indexes of contact validity, calculating influence coefficient；It connects
Get off to get in touch with 14 index building score value regions of active line, constructs assessment models with coefficient is influenced；Then interconnector is assessed
Whether effectively；Finally, assessing each index individual event score and contact active line score, and whether active line provides finger to contact
Weakness is marked, recommendation on improvement is provided, data visualization display platform is built for aid decision, and using computer technology, has very
Good demonstration effect.
The data acquisition includes the line load data obtained from Power SCADA system, from distribution relevant information system
The daily valley voltage data of distribution transformer, access PMS system and generalized information system database are obtained in system obtains power grid distribution line portion
Divide account information data, obtain monthly public, distribution transforming power failure managing detailed catalogue data from distribution power information acquisition system.
The field information that the line load data include has: power supply unit, voltage class, line name, load number
Accordingly and the date；The field information that the daily valley voltage data include has: distribution public affairs become and specially become user's voltage data；Institute
Stating the field information that account information data includes has: line name, electric substation's title, wire type, route CT no-load voltage ratio, route are dry
Line length, opposite side interconnector title and opposite side interconnector main line length；The word that the power failure managing detailed catalogue data include
Segment information has: public, the special change sum and correlation of route can cut-off point quantity.
The data prediction includes pair or the data of inspection are cleaned, and the data cleansing follows following rule
Then:
Rule one: each field any data missing is defined as shortage of data；
Rule two: detail entry repeats to be defined as data redundancy；
Rule three: there is apparent common-sense mistake and is defined as data inaccuracy in business datum；
Rule four: each field any data format it is lack of standardization i.e. be defined as it is lack of standardization；
Rule five: distribution power information acquisition system shows that invalid or blank is data capable of washing；
Rule six: show that transmission or not information is that dead line analyzes completion or blank in distribution power information acquisition system
For data capable of washing；
Rule seven: the data that route scheduled outage number is less than standard frequency of power cut 80% are data capable of washing.
The correlation model is the evaluation index computation model based on Apriori algorithm, and the Apriori algorithm has as follows
Definition: define 1: if the affairs that have in target transaction library while including Item Sets A and B, our s% are referred to asSupport
Degree, formula are as follows:
Defining 2: our c% is referred to asConfidence level, if had in affairs in target transaction library comprising Item Sets A
Affairs also include B simultaneously, and formula is as follows:
Define 3: assuming that D is target transaction library, X, Y are item collection, and support s and confidence level c if it exists is not less than in advance respectively
The minimum support min_s and min confidence min_c of setting, then claimFor Strong association rule.
The excavation of all Strong association rules is divided into two steps in the target transaction library:
S1: it finds out frequent item set: in target transaction library, Item Sets frequency of occurrence and support is calculated, if the branch of the Item Sets
Degree of holding is not less than minimum support, then the Item Sets are Frequent Item Sets；
S2: calculate Strong association rule: by the Frequent Item Sets obtained in the first step, can use formula calculate it is all strong
Correlation rule.
The value analysis includes qualitative analysis and two kinds of quantitative analysis, and the qualitative analysis passes through to historical data
Analysis mining, construct based on open capacity, quality of voltage, protection sensitivity, power supply reliability index assessment models and
By excavating the incidence relation between each Criterion Attribute and distribution line contact validity, building is based on support, confidence level, mentions
The power distribution network contact Effectiveness Evaluation Model of liter degree, certainty factor impact factor；The quantitative analysis is according to association rule algorithm meter
It calculates associated strong between the open capacity of power distribution network, quality of voltage, protection sensitivity, each subitem of power supply reliability and contact validity
Weak relationship constructs evaluation system, is that the contact validity of distribution line calculates score value.
The data visualization shows mainly include following three aspects content:
A1: determine that power distribution network gets in touch with efficiency assessment range；
A2: propose that every power distribution network gets in touch with efficiency assessment index；
A3: the division principle of assessment object problem magnitude is formulated.
Beneficial effects of the present invention: the present invention utilizes Power SCADA system, power information acquisition system, PMS system, OMS
The multidimensional datas such as more data platform acquisition power failure frequency such as system, generation of electricity by new energy, from distribution line open capacity, voltage matter
Five visual angles such as amount, protection sensitivity, power supply reliability, new energy access are analyzed, and are diagnosed to existing Distribution Network Frame,
Depth, which is excavated, promotes power distribution network contact sensing capability, to be provided to greatest extent for power distribution network contact construction using limited resources
Support, preferably service power customer, promote industrial competition of the company in increment power distribution network city off field, form benign cycle.
Detailed description of the invention
Fig. 1 is the flow chart that a kind of power distribution network of the invention gets in touch with efficiency assessment method
Specific embodiment
It is right with reference to the accompanying drawings and examples for the purpose of the present invention, technical solution and advantage is more clearly understood
The present invention is described in further detail, it should be appreciated that the specific embodiments described herein are only one kind of the invention
Most preferred embodiment, only to explain the present invention, and the scope of protection of the present invention is not limited, and those of ordinary skill in the art are not having
Every other embodiment obtained under the premise of creative work is made, shall fall within the protection scope of the present invention.
Embodiment: as shown in Figure 1, a kind of power distribution network gets in touch with efficiency assessment method, include the following steps:
Step 1: data acquisition；
Step 2: data prediction；
Step 3: building correlation model；
Step 4: value analysis；
Step 5: data visualization is shown.
The data acquisition includes the line load data obtained from Power SCADA system, from distribution relevant information system
The daily valley voltage data of distribution transformer, access PMS system and generalized information system database are obtained in system obtains power grid distribution line portion
Divide account information data, obtain monthly public, distribution transforming power failure managing detailed catalogue data from distribution power information acquisition system.This implementation
In example, from five visual angles such as the open capacity of distribution line, quality of voltage, protection sensitivity, power supply reliability, new energy access into
Row analysis, diagnoses existing Distribution Network Frame, and depth, which is excavated, promotes power distribution network contact sensing capability, to utilize limited money
Source provides support to greatest extent for power distribution network contact construction, preferably service power customer, promotes company in increment power distribution network city
Industrial competition off field forms benign cycle.
The field information that the line load data include has: power supply unit, voltage class, line name, load number
Accordingly and the date；The field information that the daily valley voltage data include has: distribution public affairs become and specially become user's voltage data；Institute
Stating the field information that account information data includes has: line name, electric substation's title, wire type, route CT no-load voltage ratio, route are dry
Line length, opposite side interconnector title and opposite side interconnector main line length；The word that the power failure managing detailed catalogue data include
Segment information has: public, the special change sum and correlation of route can cut-off point quantity.
The data prediction includes pair or the data of inspection are cleaned, and the data cleansing follows following rule
Then:
Rule one: each field any data missing is defined as shortage of data；
Rule two: detail entry repeats to be defined as data redundancy；
Rule three: there is apparent common-sense mistake and is defined as data inaccuracy in business datum；
Rule four: each field any data format it is lack of standardization i.e. be defined as it is lack of standardization；
Rule five: distribution power information acquisition system shows that invalid or blank is data capable of washing；
Rule six: show that transmission or not information is that dead line analyzes completion or blank in distribution power information acquisition system
For data capable of washing；
Rule seven: the data that route scheduled outage number is less than standard frequency of power cut 80% are data capable of washing.
The correlation model is the evaluation index computation model based on Apriori algorithm, and the Apriori algorithm has as follows
Definition: define 1: if the affairs that have in target transaction library while including Item Sets A and B, our s% are referred to asSupport
Degree, formula are as follows:
Defining 2: our c% is referred to asConfidence level, if in target transaction library comprising Item Sets A affairs in have
Affairs also include simultaneously B, formula is as follows:
Define 3: assuming that D is target transaction library, X, Y are item collection, and support s and confidence level c if it exists is not less than in advance respectively
The minimum support min_s and min confidence min_c of setting, then claimFor Strong association rule.
The excavation of all Strong association rules is divided into two steps in the target transaction library:
S1: it finds out frequent item set: in target transaction library, Item Sets frequency of occurrence and support is calculated, if the branch of the Item Sets
Degree of holding is not less than minimum support, then the Item Sets are Frequent Item Sets；
S2: calculate Strong association rule: by the Frequent Item Sets obtained in the first step, can use formula calculate it is all strong
Correlation rule.In the present embodiment, by dividing four open capacity, quality of voltage, protection sensitivity, power supply reliability visual angles
The association attributes with contact validity close ties are found in analysis, and as shown in Table 1 below, based on association rule algorithm, quantization is each
Relationship between index and contact validity.
Table 1. influences the index inventory of contact validity.
The value analysis includes qualitative analysis and two kinds of quantitative analysis, and the qualitative analysis passes through to historical data
Analysis mining, construct the assessment models based on indexs such as open capacity, quality of voltage, protection sensitivity, power supply reliabilities, lead to
The incidence relation excavated between each Criterion Attribute and distribution line contact validity is crossed, building is based on support, confidence level, promotion
The power distribution network of the impact factors such as degree, certainty factor gets in touch with Effectiveness Evaluation Model, and the anticipation for interconnector validity provides judge
Mechanism provides necessary auxiliary branch for distribution network structure planning, user's increase-volume dilatation, the line construction transformation etc. of next stage
Support；The quantitative analysis calculates the open capacity of power distribution network according to association rule algorithm, quality of voltage, protection sensitivity, power supply can
The associated strong or weak relation between each subitem of property and contact validity, constructs evaluation system, is the contact validity of distribution line
Calculate score value.
The data visualization shows mainly include following three aspects content:
A1: determine that power distribution network gets in touch with efficiency assessment range；According to the actual demand of planning and operational management work, distribution is determined
Net contact efficiency assessment range；
A2: propose that every power distribution network gets in touch with efficiency assessment index；With " power distribution network operating standard " and " rural cadastration is set
Count directive/guide " based on, all kinds of regulations of regulation are combed, are quantified, and combine power distribution network regulatory requirement, propose every distribution
Net contact efficiency assessment index；
A3: the division principle of assessment object problem magnitude is formulated；According to the definition and effect of every evaluation index, by evaluation index
It is divided into two class of critical index and nonessential index, rationally determines the weight of every power distribution network evaluation index.
Pass through the analysis to open capacity, quality of voltage, four protection sensitivity, power supply reliability visual angles, building 10
(20) kV power distribution network gets in touch with efficiency assessment system, and combing influences each index of contact validity, and a kind of power distribution network contact is effective
One specific embodiment of property appraisal procedure is as follows:
Alphabetical replacement is carried out to specific index in order to facilitate calculating, as shown in table 2.
2. index of table table corresponding with letter
| Letter | Index | Letter | Index | Letter | Index |
| a | Line load | e | Line current | i | Get in touch with validity |
| b | Line length | f | Main transformer load | j | Scheduled outage information |
| c | Public time variant voltage | g | Main transformer N-1 | m | Public affairs become outage information |
| d | Special time variant voltage | k | Line impedance | p | Specially become outage information |
| n | Setting principle | o | Cut-off point information | s | Photovoltaic information on load |
Building contact Validity Index affairs library, as table 3 shows.
Validity Index affairs library is got in touch in 3. distribution of table
According to the value of minimum support, whole affairs in target transaction library are traversed, all 1 rank choosings can be found out
Item collection L1={ a:2, i:4, b:3, e:1, f:1, g:1, c:1, d:1, n:1, k:1, j:1, m:1, p:1, o:1 }；After beta pruning, by L1
Itself connection is carried out, 2 all rank set of choices C2={ ai:2, ab:1, ib:3 } are generated.2 rank set of choices of generation are connected
It connects and show that 3 rank frequent item sets are { aib:1 }, excavation terminates.Each order can all generate between each index according to while formation
Support and confidence level.In the embodiment, each index is considered as the index to contact to the support of i (contact validity)
One impact factor of validity.
It is calculated that the results are shown in Table 4.
4. calculated result of table
The influence coefficient for obtaining each index by linear superposition is as shown in table 5.
Each Index Influence coefficient table of table 5.
For every interconnector, index is analyzed, is assessed one by one, obtains the point value of evaluation of single index, constructs power distribution network
Get in touch with validity prediction model；On the basis of for specific assessment object evaluation conclusion, Macro or mass analysis finds out every class assessment object
Existing main problem obtains the assessment result such as table 6 of every class assessment object.
6 evaluation index weight table of table
The embodiment is newly put into operation by swinging change to Shen, carries out detailed analysis, three-line parameter such as table 7 to 3 pairs of routes therein
It is shown；
7. three-line parameter list of table
The new route that puts into operation of change is swung to Shen to pre-process, and is placed data into power distribution network contact Effectiveness Evaluation Model and calculated,
Obtain contact efficiency assessment value, above three pairs of interconnectors efficiency assessment score value is as shown in table 8；
8. route efficiency assessment score table of table
The assessment result of power distribution network contact validity is divided into 3 classes: by force, stronger and 3 grades general, the assessment result of 90 or more score
It is strong；The assessment result of score 70~90 is relatively strong；The assessment result below of score 70 is general.
According to the analysis and assessment of distribution network data, there are following main problems for this area power distribution network interconnector:
1, load hot zones capacity-load ratio is relatively low, and power supply capacity is insufficient.This area 10 (20) kV transforming plant main transformer capacity-load ratio is
2.75, it is overall relatively reasonable, but due to Regional Economic Development imbalance, load hot zones concentrate on the intensive several cities of factory
Township domain, 10 (20) kV transforming plant main transformer heavy duty large percentages in these cities and towns, power supply capacity are insufficient；
2,10kV line load rate is unbalanced.There are still significant percentage of lightloaded lines while there are part heavy-haul line
Road, light-loaded circuit are primarily present in from cities and towns regions and areas farther out；
3,10kV distribution line in part is partially long, when route turn entirely for when radius of electricity supply it is partially long, cause interconnector terminal voltage inclined
Low, quality of voltage reduces；
If 4, the adjusting of III section of current ration of overcurrent when can be adjusted according to CT primary side current value, protection sensitivity generally compared with
Greatly, it is able to satisfy load transfer requirement, if according to route permissible load current calibration, protection sensitivity is typically small；
5, when getting in touch with the sum of two lines road main line length more than 10kM, protection sensitivity is generally lower, the monitoring pair of Ying Liewei emphasis
As protection sensitivity need to be calculated when, electric network reconstruction；
6, load transfer ability is insufficient；Quantity is turned off to built route and position calculates, there is fraction common line
Road is radial pattern Connection Mode, does not have the condition of load transfer；Some public line has contact but due to contact location
Unreasonable or heavy-haul line and heavy-haul line contact, which is arranged, to be caused still to be unsatisfactory for " N-1 " verification.
The specific embodiment of the above is the preferable implementation that a kind of power distribution network of the present invention gets in touch with efficiency assessment method
Mode limits specific implementation range of the invention not with this, and the scope of the present invention includes being not limited to present embodiment,
Equivalence changes made by all shape, structures according to the present invention are within the scope of the invention.
Claims (8)
1. a kind of power distribution network gets in touch with efficiency assessment method, which comprises the steps of:
Step 1: data acquisition；
Step 2: data prediction；
Step 3: building correlation model；
Step 4: value analysis；
Step 5: data visualization is shown.
2. a kind of power distribution network according to claim 1 gets in touch with efficiency assessment method, it is characterised in that: the data obtain
It takes every including obtaining distribution transformer from the line load data that Power SCADA system obtains, from distribution relevant information system
Day valley voltage data, access PMS system and generalized information system database obtain power grid distribution line part account information data, from matching
Monthly public, distribution transforming power failure managing detailed catalogue data are obtained in net power information acquisition system.
3. a kind of power distribution network according to claim 2 gets in touch with efficiency assessment method, it is characterised in that: the route is negative
The field information that lotus data include has: power supply unit, voltage class, line name, load data and date；Described is daily
The field information that valley voltage data include has: distribution public affairs become and specially become user's voltage data；The account information data includes
Field information has: line name, electric substation's title, wire type, route CT no-load voltage ratio, line mains length, opposite side interconnector
Title and opposite side interconnector main line length；The field information that the power failure managing detailed catalogue data include has: route it is public, special
Become sum and correlation can cut-off point quantity.
4. a kind of power distribution network according to claim 1 gets in touch with efficiency assessment method, it is characterised in that: the data are pre-
Processing includes pair or the data of inspection are cleaned, and the data cleansing follows following rule:
Rule one: each field any data missing is defined as shortage of data；
Rule two: detail entry repeats to be defined as data redundancy；
Rule three: there is apparent common-sense mistake and is defined as data inaccuracy in business datum；
Rule four: each field any data format it is lack of standardization i.e. be defined as it is lack of standardization；
Rule five: distribution power information acquisition system shows that invalid or blank is data capable of washing；
Rule six: show that transmission or not information is that dead line analyzes completion or blank in distribution power information acquisition system
For data capable of washing；
Rule seven: the data that route scheduled outage number is less than standard frequency of power cut 80% are data capable of washing.
5. a kind of power distribution network according to claim 1 gets in touch with efficiency assessment method, it is characterised in that: the correlation model
It is the evaluation index computation model based on Apriori algorithm, the Apriori algorithm is just like giving a definition:
Define 1: if the affairs that have in target transaction library while including Item Sets A and B, our s% are referred to asSupport
Degree, formula are as follows:
Defining 2: our c% is referred to asConfidence level, if had in affairs in target transaction library comprising Item Sets A
Affairs also include B simultaneously, and formula is as follows:
Define 3: assuming that D is target transaction library, X, Y are item collection, and support s and confidence level c if it exists is not less than in advance respectively
The minimum support min_s and min confidence min_c of setting, then claimFor Strong association rule.
6. a kind of power distribution network according to claim 5 gets in touch with efficiency assessment method, it is characterised in that: the target transaction
The excavation of all Strong association rules is divided into two steps in library:
S1: it finds out frequent item set: in target transaction library, Item Sets frequency of occurrence and support is calculated, if the branch of the Item Sets
Degree of holding is not less than minimum support, then the Item Sets are Frequent Item Sets；
S2: calculate Strong association rule: by the Frequent Item Sets obtained in the first step, can use formula calculate it is all strong
Correlation rule.
7. a kind of power distribution network according to claim 1 gets in touch with efficiency assessment method, it is characterised in that: the value point
Analysis includes qualitative analysis and two kinds of quantitative analysis, and the qualitative analysis is based on by the analysis mining to historical data, building
Open capacity, quality of voltage, protection sensitivity, power supply reliability index assessment models and by excavate each Criterion Attribute with
Distribution line gets in touch with the incidence relation between validity, and building is based on support, confidence level, promotion degree, certainty factor impact factor
Power distribution network get in touch with Effectiveness Evaluation Model；The quantitative analysis calculates power distribution network open capacity, electricity according to association rule algorithm
It presses quality, protection sensitivity, each subitem of power supply reliability and gets in touch with associated strong or weak relation between validity, building assessment body
System is that the contact validity of distribution line calculates score value.
8. a kind of power distribution network according to claim 1 gets in touch with efficiency assessment method, it is characterised in that: the data visualization
Change and show mainly include following three aspects content:
A1: determine that power distribution network gets in touch with efficiency assessment range；
A2: propose that every power distribution network gets in touch with efficiency assessment index；
A3: the division principle of assessment object problem magnitude is formulated.
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| CN112990670B (en) * | 2021-02-24 | 2022-08-09 | 南京南瑞信息通信科技有限公司 | Correlation analysis method and device for application energy efficiency evaluation of power information system |
| CN112990670A (en) * | 2021-02-24 | 2021-06-18 | 南京南瑞信息通信科技有限公司 | Correlation analysis method and device for application energy efficiency evaluation of power information system |
| CN113689119A (en) * | 2021-08-25 | 2021-11-23 | 国网上海市电力公司 | Power distribution network power supply reliability evaluation method, equipment and medium based on digital twins |
| CN113689119B (en) * | 2021-08-25 | 2023-12-08 | 国网上海市电力公司 | Power distribution network power supply reliability evaluation method, equipment and medium based on digital twin |
| CN114493077A (en) * | 2021-11-05 | 2022-05-13 | 广西电网有限责任公司南宁供电局 | Effectiveness evaluation method for metering standard device in power industry |
| CN113886469A (en) * | 2021-12-03 | 2022-01-04 | 国网江西省电力有限公司电力科学研究院 | Multi-source data-based automatic mining method and system for power distribution network engineering effect abnormity |
| CN113886469B (en) * | 2021-12-03 | 2022-04-12 | 国网江西省电力有限公司电力科学研究院 | Multi-source data-based automatic mining method and system for power distribution network engineering effect abnormity |
| CN114548485A (en) * | 2022-01-06 | 2022-05-27 | 华能威海发电有限责任公司 | Big data application system for power production |
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