CN109613370A - A kind of load parameter identification system based on intelligent electric meter data - Google Patents
A kind of load parameter identification system based on intelligent electric meter data Download PDFInfo
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- CN109613370A CN109613370A CN201811580016.9A CN201811580016A CN109613370A CN 109613370 A CN109613370 A CN 109613370A CN 201811580016 A CN201811580016 A CN 201811580016A CN 109613370 A CN109613370 A CN 109613370A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R22/00—Arrangements for measuring time integral of electric power or current, e.g. electricity meters
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Abstract
The invention discloses a kind of load parameter identification systems based on intelligent electric meter data, including collector, comparator, analyzer, manifold and memory, collector is connect with multiple intelligent electric meters, acquire multiple intelligent electric meter data, analysis comparison is carried out, all kinds of load datas are therefrom obtained, each type load composition parameter of difference is calculated, then collect the whole ingredient for obtaining load and parameter, difference, different periods load parameter are finally carried out classification storage.The present invention carries out big data analysis to the load electricity consumption data of a large amount of intelligent electric meter, so that identification obtains being consistent with objective reality, true load parameter, with the simulation calculation and dispatching of power netwoks, planning etc. for power grid；The parameter identification that network load is carried out using present system acquires equipment without purchasing new load data, and the real-time and historical data of intelligent electric meter can be obtained from the power information system of power grid, to save equipment investment.
Description
Technical field
The present invention relates to electrical detection fields, recognize system more particularly, to a kind of load parameter based on intelligent electric meter data
System.
Background technique
Occur in current electric grid by all kinds of new loads of representative of electric car, accesses load type increasingly in power grid
More, load ingredient also becomes increasingly complex.The access of all kinds of distributed generation resources in distribution is mainly accessed from load side, in distribution
General equivalence is that load is handled when analytical calculation, these make load ingredient become increasingly complex.How all kinds of different loads are identified
In heterogeneity structure, establish exact load model be guarantee grid simulation calculate correctly basis and dispatching of power netwoks and
The important foundation of planning.
It currently, obtaining the conventional method of part throttle characteristics parameter, is largely tested each type load, according to test number
Its characterisitic parameter is obtained according to analysis.But this method can only carry out analysis test to typical load equipment, load type and
Quantity is very huge, it is impossible to test all load equipments, and parameter can also be sent out load equipment in actual operation
Changing.Intelligent electric meter has become basically universal in current electric grid, and intelligent electric meter has recorded the actual operating data of load equipment, and can
Record the load electricity consumption data under various different situations, the long term data of available different periods, entirely reflection load
The truthful data of equipment.Therefore, how benefit refines load profile, identification load from the load electricity consumption data of intelligent electric meter
Ingredient, at scientific research personnel's significant problem urgently to be solved.
Summary of the invention
The purpose of the present invention is to provide a kind of load parameter identification systems based on intelligent electric meter data, and the system is to big
The load electricity consumption data of the intelligent electric meter of amount carries out big data analysis, obtains being consistent with objective reality, really to recognize
Load parameter, with the simulation calculation and dispatching of power netwoks, planning etc. for power grid.
The object of the present invention is achieved like this:
A kind of load parameter identification system based on intelligent electric meter data, is characterized in: including collector, comparator, analyzer, remittance
Storage and memory, in which:
(1) collector: multiple intelligent electric meters of each collector connection different location acquire each intelligent electric meter administered
The intelligent electric meter of load electricity consumption data, connection is more, and final load Parameter analysis result is more accurate；Collector obtains intelligent electric meter
The Various types of data of middle record part throttle characteristics carries out preliminary classification, peace according to voltage, electric current, power, power factor data type
Arrange different data channel；
(2) comparator: be directed to the particular kind of electricity consumption data in different regions, by load type progress data classification, be divided into resident,
Industry, business, agricultural and administrative five big types；In view of season, the influence of temperature, to different types of load data respectively into
Row compares, and obtains the load data variation difference under different location, different periods；The load in same place is carried out in different periods
Itself compares, and the ingredient in load increment is determined, mainly for air conditioner load；To the intelligent electric meter of different location in the same period
Load data is compared, and according to the difference of load data, determines that the size of the distributed generation resource in load ingredient and variation are special
Property；
(3) analyzer: according to the difference for obtaining load data in comparator, the analysis of load ingredient is carried out；Analyzer utilizes base
Conceptual data is estimated in the model matching method of negentropy maximization, the electricity consumption data of each type is calculated, in turn
Obtain the load ingredient and parameter of each type load；
(4) manifold: the parameter of various types of different load according to obtained in analyzer carries out collecting calculating, flat by weighting
It calculates, obtains the load ingredient and parameter of different location；According to the practical electricity consumption data of current intelligent electric meter, to recognize
The parameter of various type loads, management and running and stability Calculation applied to power grid when to power grid real time execution；
(5) it memory: after identification obtains the parameter of various type loads, is carried out according to load type and distributing position, run the period
Sort out, stores into server；The memory for carrying out parametric classification realizes different location in point of the load ingredient of different periods
Class storage, Flexible Query parameters when calculating convenient for electrical network analysis are used for simulation calculation；Meanwhile real-time parameter also with history
It stores parameter to combine, obtains the load parameter of different times, be used for load prediction and Study on Power Grid Planning.
The present invention has the advantage that
(1) it is different from traditional load parameter recognition methods, the present invention considers usage history, the identification of the data of on-line intelligence ammeter
Load ingredient and parameter carry out big data analysis to the load electricity consumption data of a large amount of intelligent electric meter, so that identification obtains and visitor
Sight is actually consistent, true load parameter, with the simulation calculation and dispatching of power netwoks, planning etc. for power grid；
(2) parameter identification that network load is carried out using present system acquires equipment, intelligence without purchasing new load data
The real-time and historical data of ammeter can be obtained from the power information system of power grid, to save equipment investment.
Detailed description of the invention
Fig. 1 is structural block diagram of the invention.
Specific embodiment
Below against embodiment, the present invention is further illustrated.
A kind of load parameter identification system based on intelligent electric meter data, specific workflow are as follows:
(1) the data acquisition and classification of intelligent electric meter.Intelligent electric meter, collector D are installed in each place in power grid1、D2 …
DNThe intelligent electric meter for connecting different location, acquires the electricity consumption data of each intelligent electric meter.Different types of load is used different
Acquisition resolution, to load variations frequently and load it is more important area setting high-resolution, it is stable to load curve
Area setting low resolution.It is special according to the variation of V, I, P, η according to voltage V, electric current I, power P, power factor η data type
Property carry out preliminary classification, arrange different data channel；
(2) by collector D1、D2 …DNCollected electricity consumption data is sent to corresponding comparator C respectively1、C2 …CNIn.
For resident, industry, business, agricultural and administrative five big types load data.Comparator C is to different types of load data point
Itself different periods is not carried out, the load data variation difference in neighbouring place is compared.The load in same place is when different
Section carries out itself comparing in comparator C, determines the ingredient in load increment, considers influence of the season to load, obtains season
The characteristics of property load variations.Load data of the comparator C to the intelligent electric meter of different location in the same period is compared, according to
The difference of load data determines the size and variation characteristic of distributed energy in load ingredient；
(3) by comparator C1、C2 …CNObtained load data is sent to respective analyzer A respectively1、A2 …ANIn, identification is negative
Lotus ingredient and parameter.According to comparator C1、C2 …CNObtained in all kinds of load data differences, carry out load constituent analysis.Point
Parser A1、A2 …ANConceptual data is estimated using the model matching method based on negentropy maximization, is calculated each
The load parameter of type, and then obtain corresponding ingredient and parameter in various types of different load；
(4) by analyzer A1、A2 …ANIn obtain parameter and focus in manifold T, form the load parameter of each point.Analysis is every
Load ingredient under a intelligent electric meter data, obtains corresponding load parameter, according to obtaining various types of different load in analyzer A
Parameter, carry out collecting calculating, by weighted average calculation, obtain different point load synthetic load ingredients, parameter.From small user
Load model start gradually to expand to the load point of higher voltage grade, totality can be characterized by finally collecting foundation and obtaining one
The load parameter of load composition transfer；
It (5) will be in the parametric classification deposit memory S in manifold T.After obtaining the parameter of each type load, according to load type and
Distributing position, run the period, are sorted out, and are stored into data server.It is constructed with the power data of output and system voltage
Model library, the feature as foundation matched after data separating, and then when extracting enough load operations, utilizes recursion minimum
Square law establishes corresponding template library.According to the characteristic value of data, then by load parameter and Model Matching, matching degree is examined,
The effect that introducing examines load parameter to identify with residual error, the good parametric classification of effect are stored into S.Parametric classification memory is real
Classification storage of the existing different location in the load ingredient of different periods, Flexible Query parameters when being calculated convenient for electrical network analysis.
Claims (1)
1. a kind of load parameter identification system based on intelligent electric meter data, it is characterised in that: including collector, comparator, divide
Parser, manifold and memory, in which:
(1) collector: multiple intelligent electric meters of each collector connection different location acquire each intelligent electric meter administered
The intelligent electric meter of load electricity consumption data, connection is more, and final load Parameter analysis result is more accurate；Collector obtains intelligent electric meter
The Various types of data of middle record part throttle characteristics carries out preliminary classification, peace according to voltage, electric current, power, power factor data type
Arrange different data channel；
(2) comparator: be directed to the particular kind of electricity consumption data in different regions, by load type progress data classification, be divided into resident,
Industry, business, agricultural and administrative five big types；In view of season, the influence of temperature, to different types of load data respectively into
Row compares, and obtains the load data variation difference under different location, different periods；The load in same place is carried out in different periods
Itself compares, and the ingredient in load increment is determined, mainly for air conditioner load；To the intelligent electric meter of different location in the same period
Load data is compared, and according to the difference of load data, determines that the size of the distributed generation resource in load ingredient and variation are special
Property；
(3) analyzer: according to the difference for obtaining load data in comparator, the analysis of load ingredient is carried out；Analyzer utilizes base
Conceptual data is estimated in the model matching method of negentropy maximization, the electricity consumption data of each type is calculated, in turn
Obtain the load ingredient and parameter of each type load；
(4) manifold: the parameter of various types of different load according to obtained in analyzer carries out collecting calculating, flat by weighting
It calculates, obtains the load ingredient and parameter of different location；According to the practical electricity consumption data of current intelligent electric meter, to recognize
The parameter of various type loads, management and running and stability Calculation applied to power grid when to power grid real time execution；
(5) it memory: after identification obtains the parameter of various type loads, is carried out according to load type and distributing position, run the period
Sort out, stores into server；The memory for carrying out parametric classification realizes different location in point of the load ingredient of different periods
Class storage, Flexible Query parameters when calculating convenient for electrical network analysis are used for simulation calculation；Meanwhile real-time parameter also with history
It stores parameter to combine, obtains the load parameter of different times, be used for load prediction and Study on Power Grid Planning.
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| CN201811580016.9A CN109613370B (en) | 2018-12-24 | 2018-12-24 | Load parameter identification system based on smart electric meter data |
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|---|---|---|---|
| CN201811580016.9A CN109613370B (en) | 2018-12-24 | 2018-12-24 | Load parameter identification system based on smart electric meter data |
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| CN109613370A true CN109613370A (en) | 2019-04-12 |
| CN109613370B CN109613370B (en) | 2020-10-20 |
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| JP6178277B2 (en) * | 2014-04-11 | 2017-08-09 | 日本電信電話株式会社 | Influence factor information acquisition method and influence factor information acquisition apparatus in failure analysis |
| CN104463706A (en) * | 2014-12-10 | 2015-03-25 | 深圳供电局有限公司 | Method and system for detecting voltage sag event reason for power grid |
| CN104809255A (en) * | 2015-05-21 | 2015-07-29 | 国家电网公司 | Load shape acquisition method and system |
| CN105866725A (en) * | 2016-04-20 | 2016-08-17 | 国网上海市电力公司 | Method for fault classification of smart electric meter based on cluster analysis and cloud model |
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