CN103487644A - Electric energy subentry energy consumption metering method and device - Google Patents

Abstract

The invention discloses an electric energy subentry energy consumption metering method and device. The method includes the steps of firstly, obtaining measurement data of each meter; secondly, calculating the branch circuit energy consumption value of a power distribution branch circuit where each meter is located in a preset time period; thirdly, dividing the power distribution branch circuit energy consumption value according to tail end sets connected with the power distribution branch circuits and based on forecasted energy consumption values of the tail end sets connected with the power distribution branch circuits and the uncertainty degrees of the forecasted energy consumption values, and obtaining division energy consumption values of the tail end sets and the uncertainty degrees of the division energy consumption values; fourthly, according to different energy consumption classifications to which the tail end sets belong, combining the division energy consumption values of the tail end sets which belong to the same energy consumption classification, and obtaining subentry energy consumption metering values of electric energy and the uncertainty degree of each subentry energy consumption metering value. According to the electric energy subentry energy consumption metering method and device, calculation of the division energy consumption of each tail end set and calculation of the uncertainty degree of the division energy consumption are not related to the types of energy-consumption devices, the electric energy subentry energy consumption metering method and device have the advantages of being simple in algorithm achieving, high in subentry energy consumption metering accuracy and strong in universality, and delicacy management of electrical energy is facilitated.

Description

Electric energy subitem energy consumption measure method and apparatus

Technical field

The present invention relates to the energy consumption measurement technical field, relate in particular to a kind of electric energy subitem energy consumption measure method and apparatus.

Background technology

Architectural energy consumption mainly comprises water, electricity, combustion gas, central heating, central cooling and other energy.Because the energy for building number of devices is large, structure of energy consumption is complicated, in addition dissimilar with energy equipment energy consumption level differentia influence just, the energy consumption data that makes the total energy consumption that only relies on whole building system or part measuring apparatus measure, can't accurately locate the defect of the unreasonable or operating strategy aspect of energy for building, can't be efficiently and carry out targetedly Building Energy-saving Work.In order to address this problem, the energy consumption that has proposed each function system to building is carried out the solution of metering separate.Metering separate refers to installs classification, subitem energy consumption measure instrument to each function system of building, thereby obtains the total energy consumption of buildings and different energy sources kind, difference in functionality system subitem consumption.In common buildings, the electric energy use amount is at most, range of application is the widest, thus metering separate more spininess to the electric energy energy consumption measure of itemizing.The distribution system of building, centered by switchgear building, enter the regional of building from the branch road (being called for short the switchgear building branch road) of switchgear building, more regional power distribution cabinet or panel box is assigned to each end branch by each.For new building, can to the function of distribution system, be divided according to the requirement of metering separate, make on same switchgear building branch road the use energy equipment that connects same type.And for the distribution system of existing building; May be connected with a plurality of dissimilar use energy equipment on a common switchgear building branch road, when the energy for building number of devices is larger, for each uses the corresponding measuring apparatus of energy coordinative composition of equipments, cost is high, poor operability, due to reasons such as building renovation or function system area changes, often need to increase or change some and use energy equipment in addition.In order to reduce the complexity of construction as far as possible, usually can be direct from nearest switchgear building power taking, and ignored initial switchgear building branch road design specifications and function division.

When above-mentioned distribution system is carried out to energy consumption measure, restriction due to measurement means, requirement according to metering separate is carried out to the distribution system of function division, energy consumption that can certain measuring apparatus is measured is classified as the energy consumption data of a certain specific separate energy consumption, but, this metering method is irrational for complicated switchgear building branch road (being connected with a plurality of dissimilar use energy equipment, large by energy equipment energy consumption difference).Certainly, for each energy consumption with energy equipment of accurate-metering, the energy consumption data that can record certain measuring apparatus rationally splits, available technology adopting is split the branch road energy consumption according to the mode of default allocation proportion, the subitem energy consumption data poor accuracy of each end collection after this kind of mode can cause splitting, can't be for the work such as follow-up energy consumption analysis, problem diagnosis, managing power consumption provide basic data accurately, and then may bring adverse effect to follow-up work.

Summary of the invention

In view of this, the invention provides a kind of electric energy subitem energy consumption measure method and apparatus, make the fractionation energy consumption of each end collection and split the calculating of energy consumption uncertainty and have nothing to do by the type of energy equipment, have advantages of that algorithm is realized simply, the accuracy of subitem energy consumption measure is high and highly versatile, be conducive to realize the fine-grained management of electric power energy.

In first aspect, the embodiment of the present invention provides a kind of electric energy subitem energy consumption measure method, comprises the steps:

S01, obtain the measurement data of each gauging table;

S02, according to described measurement data, calculate each gauging table place distribution branch road branch road power consumption values within a predetermined period of time;

Pre-estimation power consumption values and the uncertainty thereof of each end collection that S03, basis are connected with the distribution branch road, power consumption values by the distribution branch road in described predetermined amount of time is split according to each end collection be connected with described distribution branch road, obtains fractionation power consumption values and the uncertainty thereof of each end collection;

S04, according to the separate energy consumption type under different end collection, the fractionation power consumption values that will belong to the end collection of same consumption energy subitem type is merged, and obtains the subitem energy consumption measure value of electric energy and the uncertainty of each subitem energy consumption measure value;

Wherein, the uncertainty of described pre-estimation power consumption values refers to the half width of pre-estimation power consumption values indeterminacy section; The uncertainty of described fractionation power consumption values refers to split the half width of power consumption values indeterminacy section; The uncertainty of described subitem energy consumption measure value refer to the to itemize half width of energy consumption measure value indeterminacy section.

In the first in possible implementation, the pre-estimation power consumption values of described end collection and uncertainty thereof are under certain confidence level, consume according to end energy collecting consumption pre-estimation model and with described end energy collecting that known energy consumption calculation of characteristic parameters that the pre-estimation model is relevant obtains.

Further, the pre-estimation power consumption values of described end collection and uncertainty thereof are under certain confidence level, according to end collection load factor model and rated power, calculate, and concrete steps comprise:

The energy consumption characteristic sequence of end collection in the certain hour section that collection and target end collection belong to same energy consumption classification is as sample, and described sample meets normal distribution;

Under 1-α confidence level, calculate load factor sample average and the indeterminacy section thereof that belongs to the end collection of same energy consumption classification with target end collection according to end collection load factor model, as sample average and the indeterminacy section thereof of described target end collection;

Load factor sample average and indeterminacy section calculated population load factor and indeterminacy section thereof according to described target end collection;

The rated power of calculating end collection and the product of overall load rate obtain the pre-estimation power consumption values of described end collection; The rated power of calculating end collection and the product of overall load rate uncertainty obtain the uncertainty of pre-estimation power consumption values;

Wherein, α is default level of significance value, 0≤α≤1; Described target end collection is the set of one or more same categories of device of same distribution branch road; The half width that described overall load rate uncertainty is overall load rate indeterminacy section.

Further, the pre-estimation power consumption values of described end collection and uncertainty thereof are under certain confidence level, according to end collection load factor model and rated power, calculate, and concrete steps comprise:

Gather the energy consumption characteristic sequence of target end collection in the certain hour section as sample, described sample meets normal distribution;

Under 1-α confidence level, calculate load factor sample average and the sample standard deviation of target end collection according to end collection load factor model;

Load factor sample average and sample standard deviation calculated population load factor and indeterminacy section thereof according to described target end collection;

The rated power of calculating end collection and the product of overall load rate obtain the pre-estimation power consumption values of described end collection; The rated power of calculating end collection and the product of overall load rate uncertainty obtain the uncertainty of pre-estimation power consumption values;

Wherein, α is default level of significance value, 0≤α≤1; The half width that described overall load rate uncertainty is overall load rate indeterminacy section.

At the second, in possible implementation, described step S03 specifically comprises:

Setting gauging table place distribution branch road branch road power consumption values within a predetermined period of time is Y, and the end collection be connected with the distribution branch road has n, n>=1, the fractionation energy consumption of i the end collection that calculating is connected with this distribution branch road according to following formula (1)

${\hat{\hat{x}}}_i={\hat{x}}_i+\frac{s_i^2}{\underset{j\≠i}{\overset{n}{\underset{j=1}{\mathrm{\Σ}}}}{s}_j^2}(Y-\underset{j\≠i}{\overset{n}{\underset{j=1}{\mathrm{\Σ}}}}{\hat{x}}_j)---\left(1\right)$

Calculate the uncertainty u of the fractionation power consumption values of described i end collection according to following formula (2) _i:

$u_i=\sqrt{s_i^2(1-\frac{s_i^2}{\underset{j\≠i}{\overset{n}{\underset{j=1}{\mathrm{\Σ}}}}{s}_j^2})}---\left(2\right)$

Wherein,

for the pre-estimation power consumption values of described i end collection, s _ifor the uncertainty of the pre-estimation power consumption values of described i end collection,

for the pre-estimation power consumption values of j end collection being connected with this distribution branch road, s _juncertainty for the pre-estimation power consumption values of described j end collection;

If calculate

the time, set the fractionation energy consumption of described i end collection

set the uncertainty u of the fractionation energy consumption of described i end collection _i=0.

At the third, in possible implementation, described step S01 also comprises the end collection information that each distribution branch road comprises of obtaining; Also comprise that between step S02 and step S03 calculating do not install gauging table distribution branch road branch road power consumption values within a predetermined period of time, and determine the distribution branch road that need to carry out the energy consumption fractionation; Described step S03 is pre-estimation power consumption values and the uncertainty thereof of each end collection according to being connected with distribution branch road to be split, each end collection that distribution branch road power consumption values described to be split is connected according to the distribution branch road with described to be split is split, and obtains the fractionation power consumption values of each end collection and the uncertainty of each fractionation power consumption values.

Further, described end collection information comprise each with can facility information, each is by separate energy consumption under can equipment, each name information with energy consumption temporal characteristics, switchgear building branch road relation and each switchgear building branch road that can equipment.

In the 4th kind of possible implementation, comprise one hour in described predetermined amount of time, 24 hours, 1 week, January or 1 year.

In second aspect, the embodiment of the present invention provides a kind of electric energy subitem energy consumption measure device, comprising:

Acquiring unit, for obtaining the measurement data of each gauging table;

Branch road energy consumption calculation unit, for calculating each gauging table place switchgear building branch road branch road power consumption values within a predetermined period of time according to described measurement data;

Split the energy consumption calculation unit, pre-estimation power consumption values and uncertainty thereof for each end collection according to being connected with the distribution branch road, power consumption values by the distribution branch road in described predetermined amount of time is split according to each end collection be connected with described distribution branch road, obtains fractionation power consumption values and the uncertainty thereof of each end collection;

Subitem energy consumption calculation unit, for the separate energy consumption type according under different end collection, the end collection that will belong to same consumption energy subitem type splits power consumption values and is merged, and obtains the subitem energy consumption measure value of electric energy and the uncertainty of each subitem energy consumption measure value;

Wherein, the uncertainty of described pre-estimation power consumption values refers to the half width of pre-estimation power consumption values indeterminacy section; The uncertainty of described fractionation power consumption values refers to split the half width of power consumption values indeterminacy section; The uncertainty of described subitem energy consumption measure value refer to the to itemize half width of energy consumption measure value indeterminacy section.

In the first in possible implementation, described device also comprises pre-estimation energy consumption parameter calculation unit, for under certain confidence level, reach pre-estimation power consumption values and the uncertainty thereof of the known energy consumption calculation of characteristic parameters end collection relevant to described end energy collecting consumption pre-estimation model according to end energy collecting consumption pre-estimation model.

Further, described pre-estimation energy consumption parameter calculation unit is under certain confidence level, according to pre-estimation power consumption values and the uncertainty thereof of end collection load factor model and rated power calculating end collection, wherein, described pre-estimation energy consumption parameter calculation unit comprises:

The sample collection subelement, the energy consumption characteristic sequence of end collection in the certain hour section that belongs to same energy consumption classification for collection and target end collection is as sample, and described sample meets normal distribution;

Sample average and indeterminacy section obtain subelement, for under 1-α confidence level, calculate load factor sample average and the indeterminacy section thereof that belongs to the end collection of same energy consumption classification with target end collection according to end collection load factor model, as sample average and the indeterminacy section thereof of described target end collection;

Population mean and indeterminacy section acquiring unit, for the load factor sample average according to described target end collection and indeterminacy section calculated population load factor and indeterminacy section thereof;

The pre-estimation parameter calculation unit, obtain the pre-estimation power consumption values of described end collection for the product of the rated power that calculates the end collection and overall load rate; The rated power that calculates target end collection and the product of relative uncertainty obtain the uncertainty of pre-estimation power consumption values;

Wherein, α is default level of significance value, 0≤α≤1; Described end collection is the set of one or more same categories of device of same distribution branch road; The half width that described relative uncertainty is overall load rate indeterminacy section.

Further, described pre-estimation energy consumption parameter calculation unit is under certain confidence level, according to pre-estimation power consumption values and the uncertainty thereof of end collection load factor model and rated power calculating end collection, wherein, described pre-estimation energy consumption parameter calculation unit comprises:

The sample collection subelement, for gathering the energy consumption characteristic sequence of target end collection in the certain hour section as sample, described sample meets normal distribution;

Sample average and indeterminacy section obtain subelement, under 1-α confidence level, calculate load factor sample average and the sample standard deviation of target end collection according to end collection load factor model;

Population mean and indeterminacy section acquiring unit, for the load factor sample average according to described target end collection and sample standard deviation calculated population load factor and indeterminacy section thereof;

The pre-estimation parameter calculation unit, obtain the pre-estimation power consumption values of described end collection for the product of the rated power that calculates the end collection and overall load rate; The rated power of calculating target end collection and the product of overall load rate uncertainty obtain the uncertainty of pre-estimation power consumption values;

Wherein, α is default level of significance value, 0≤α≤1; The half width that described overall load rate uncertainty is overall load rate indeterminacy section.

At the second in possible implementation, described fractionation energy consumption calculation unit specifically for:

Setting gauging table place distribution branch road branch road power consumption values within a predetermined period of time is Y, and the end collection be connected with the distribution branch road has n, n>=1, the fractionation energy consumption of i the end collection that calculating is connected with this distribution branch road according to following formula (1)

${\hat{\hat{x}}}_i={\hat{x}}_i+\frac{s_i^2}{\underset{j\≠i}{\overset{n}{\underset{j=1}{\mathrm{\Σ}}}}{s}_j^2}(Y-\underset{j\≠i}{\overset{n}{\underset{j=1}{\mathrm{\Σ}}}}{\hat{x}}_j)---\left(1\right)$

Calculate the uncertainty u of the fractionation power consumption values of described i end collection according to following formula (2) _i:

$u_i=\sqrt{s_i^2(1-\frac{s_i^2}{\underset{j\≠i}{\overset{n}{\underset{j=1}{\mathrm{\Σ}}}}{s}_j^2})}---\left(2\right)$

Wherein,

for the pre-estimation power consumption values of described i end collection, s _ifor the uncertainty of the pre-estimation power consumption values of described i end collection,

for the pre-estimation power consumption values of j end collection being connected with this distribution branch road, s _juncertainty for the pre-estimation power consumption values of described j end collection;

If calculate

the time, set the fractionation energy consumption of described i end collection

set the uncertainty u of the fractionation energy consumption of described i end collection _i=0.

At the third in possible embodiment, the end collection information that described acquiring unit also comprises for obtaining each distribution branch road; Gauging table distribution branch road branch road power consumption values is not within a predetermined period of time also installed for calculating in described branch road energy consumption calculation unit, and determines the distribution branch road that need to carry out the energy consumption fractionation; Pre-estimation power consumption values and the uncertainty thereof of each end collection that described fractionation energy consumption calculation unit is connected for the distribution branch road according to be split, each end collection that distribution branch road power consumption values described to be split is connected according to the distribution branch road with described to be split is split, and obtains the fractionation power consumption values of each end collection and the uncertainty of each fractionation power consumption values.

Further, described end collection information comprise each with can facility information, each is by separate energy consumption under can equipment, each name information with energy consumption temporal characteristics, switchgear building branch road relation and each switchgear building branch road that can equipment.

In the 4th kind of possible implementation, comprise one hour in described predetermined amount of time, 24 hours, 1 week, January or 1 year.

The embodiment of the present invention by by the electric energy energy consumption according to unified, normalized separate energy consumption model is classified, according to investigation in early stage situation, in the situation that fully do not fill table or not complete dress table, the historical data information of accumulation of the take energy consumption feature that is each end collection of basic pre-estimation, and in conjunction with the energy consumption feature of each end collection and the energy consumption of distribution branch road, utilize the optimization method for splitting to be split according to each end collection distribution branch road energy consumption, when effectively reducing construction cost, make the fractionation energy consumption of each end collection and split the calculating of uncertainty and have nothing to do by the energy device type, have and realize simply, the metering separate accuracy is high, the advantage of highly versatile, be conducive to realize the fine-grained management of electric power energy.

The accompanying drawing explanation

Fig. 1 is the process flow diagram of the electric energy subitem energy consumption measure method of first embodiment of the invention;

Fig. 2 is a kind of dress list structure schematic diagram of first embodiment of the invention distribution system;

Fig. 3 is the another kind dress list structure schematic diagram of first embodiment of the invention distribution system;

Fig. 4 is a kind of process flow diagram that calculates end collection pre-estimation energy consumption parameter of first embodiment of the invention;

Fig. 5 is the process flow diagram that the another kind of first embodiment of the invention calculates end collection pre-estimation energy consumption parameter;

Fig. 6 is the schematic diagram of the building energy consumption disaggregated model of first embodiment of the invention;

Fig. 7 is the structural drawing of the electric energy subitem energy consumption measure device of second embodiment of the invention.

Embodiment

In order to make the purpose, technical solutions and advantages of the present invention clearer, below in conjunction with accompanying drawing, the specific embodiment of the invention is described in further detail.Be understandable that, specific embodiment described herein is only for explaining the present invention, but not limitation of the invention.It also should be noted that, for convenience of description, only show part related to the present invention in accompanying drawing but not full content.

The first embodiment

Fig. 1 is the process flow diagram of the electric energy subitem energy consumption measure method of first embodiment of the invention.As shown in Figure 1, described method comprises:

Step 110, obtain the measurement data of each gauging table.

In the present embodiment, gauging table is when measuring energy consumption data, and measuring interval can be arranged according to actual conditions, as example and non-limiting, gauging table can be set every 1 minute, 5 minutes or record half an hour such as primary energy consumption data etc.The energy consumption data that gauging table is measured is processed to data center by the communication network teletransmission.

Step 120, according to described measurement data, calculate each gauging table place distribution branch road branch road power consumption values within a predetermined period of time.

In the present embodiment, when calculating branch road power consumption values within a predetermined period of time of each gauging table place distribution branch road according to described measurement data, select according to actual needs suitable time scale to be calculated, as example, non-limitingly can select hour, day, week, month or year etc.

Each distribution branch road calculating of energy consumption data within a predetermined period of time is relevant with the dress table scheme of distribution system.Typical distribution system possesses tree structure, and in the practice of construction process, due to the distribution system complexity, gauging table usually can be divided into different levels and be installed, and, for different buildings, also can there be very large difference in the mount scheme of gauging table.Generally, how many gauging tables are arranged in system, just need to calculate how many times gauging table power consumption values within a predetermined period of time.

Fig. 2 is a kind of dress list structure schematic diagram of first embodiment of the invention distribution system.As shown in Figure 2, on each of whole distribution system switchgear building branch road, gauging table all is installed, directly read the energy consumption data of each switchgear building branch road by communication network, the difference of the measured value of the measured value of distribution branch road branch road power consumption values within a predetermined period of time by calculating predetermined amount of time finish time and initial time can obtain, the total energy consumption of all end collection that are connected with gauging table place switchgear building branch road.Cumulative the substituting of gauging table of the low-level that can comprise with it for Fig. 2 level on the middle and senior level gauging table.

Fig. 3 is the another kind dress list structure schematic diagram of first embodiment of the invention distribution system.As shown in Figure 3, whole distribution system is only installed measuring apparatus (be generally important switchgear building branch road, in this branch road, have the use energy equipment larger on the system energy consumption impact) on part switchgear building branch road.The difference of by calculating high-level distribution branch road, distribution branch road energy consumption data of gauging table in described predetermined amount of time of gauging table being installed in the energy consumption data of gauging table and low-level within a predetermined period of time, obtain not installing the energy consumption data of the switchgear building branch road of gauging table.In Fig. 3, the energy consumption data of switchgear building branch road 3 is: Table A reading-(table B reading+table C reading).

For example, (for example: 2013-08-19) the working time section is interior (for example: 8:30-17:30) the branch road power consumption values of gauging table place distribution branch road to add up some working days, according to gauging table in this distribution branch road on the same day energy consumption data A during 8:30 and on the same day energy consumption data B during 17:30, the value of calculating B-A is the branch road power consumption values of this gauging table place distribution branch road in 8:30-17:30.

Here the concrete dress table scheme of two kinds shown in Fig. 2 and Fig. 3 of only take is illustrated as example.Certainly, those skilled in the art easily know, when obtaining the energy consumption data of switchgear building branch road, can also adopt other method, and this is not limited.

Pre-estimation power consumption values and the uncertainty thereof of each end collection that step 130, basis are connected with the distribution branch road, power consumption values by the distribution branch road in described predetermined amount of time is split according to each end collection be connected with described switchgear building branch road, obtain the fractionation power consumption values of each end collection and the uncertainty of each fractionation power consumption values, wherein, the uncertainty of described pre-estimation power consumption values refers to the half width of pre-estimation power consumption values indeterminacy section; The uncertainty of described fractionation power consumption values refers to split the half width of power consumption values indeterminacy section.

Here it should be noted that, the pre-estimation power consumption values of end collection and uncertainty thereof are under certain confidence level, consume according to end energy collecting consumption pre-estimation model and with described end energy collecting that known energy consumption calculation of characteristic parameters that the pre-estimation model is relevant obtains.

One of the present embodiment preferred embodiment in, the pre-estimation power consumption values of described end collection and uncertainty thereof are under certain confidence level, according to end collection load factor model and rated power, calculate.

In general, the load factor characteristic of similar end collection is similar, using a large amount of historical measurement data as sample, the load factor that obtains each end collection by modeling is estimated evaluation and indeterminacy section thereof, in conjunction with the rated power of end collection, and then obtain the pre-estimation power consumption values of each end collection and the uncertainty of pre-estimation power consumption values.According to the pre-estimation power consumption values of each end collection be connected with the distribution branch road and the uncertainty (calculating in advance) of pre-estimation power consumption values, calculate the fractionation power consumption values of each the end collection be connected with the distribution branch road and the uncertainty of fractionation power consumption values.

Wherein: the rated power * 100% of the real power/transformer of load factor=transformer.In general, the empirical value of load factor is 80% left and right.According to load factor model assessment method, calculate pre-estimation power consumption values and the uncertainty thereof of end collection:

Pre-estimation power consumption values=rated power * overall load rate;

Pre-estimation power consumption values uncertainty=rated power * overall load rate value uncertainty;

Here overall load rate uncertainty is to add up the half width of the overall load rate indeterminacy section obtained by modeling.

In the present embodiment, the pre-estimation power consumption values of end collection and uncertainty thereof can realize by two kinds of prediction mode.

The first prediction mode: the end energy collecting consumes in immeasurablel situation, obtain with target end collection and belong to the end collection of same energy consumption classification at a time period or a plurality of actual consumption that represents the time period, can also measure if necessary other influence factor parameter relevant to energy consumption, as forecast sample, set up end collection pre-estimation model.Similar according to the load factor characteristic of similar end collection, set up the load factor appraising model, at sample, meet under the condition of normal distribution, obtain load factor average and the indeterminacy section thereof of sample by the mode of statistics, obtain the overall load rate according to sample load factor average and uncertainty thereof and estimate evaluation and indeterminacy section thereof, further, for example, according to necessary input parameter (rated power), calculate the pre-estimation power consumption values of described end collection and pre-estimation power consumption values uncertainty pre-estimation power consumption values and the uncertainty thereof as target end collection.Here it should be noted that, because the choosing of end collection of same energy consumption classification has larger independence, therefore, the preferred end collection similar with the energy consumption characteristic properties to target end collection application purpose here.

Fig. 4 is the process flow diagram of the calculating end collection pre-estimation energy consumption parameter of first embodiment of the invention.In the present embodiment, the end collection that target end collection directly is connected for the distribution branch road with to be split, only integrate and comprise that one with describing as example by equipment with end here.As shown in Figure 4, described method comprises:

Step 410, collection and target end collection belong to the energy consumption characteristic sequence of end collection in the certain hour section of same energy consumption classification as sample, calculate load factor average and the standard deviation of each end collection, and described sample meets normal distribution.

In the present embodiment, the end collection of selecting a plurality of and target end collection to belong to same energy consumption classification in certain hour section t (as 1 year) actual consumption sequential value as sample, obtain load factor or the load factor relevant to chronomere of end collection according to load factor computing formula (load factor=end collection real power/end collection rated power * 100%), add up each end collection within certain period (as 24 hours) by the time load factor average and standard deviation.

Wherein, for improving estimated accuracy, sample is divided into to two classes, one class is less than average, one class is greater than average, adds up respectively the standard deviation of two class samples with respect to the error of average, obtains lower standard deviation and upper standard deviation, both sums are called the interval size of standard deviation, have reflected the uncertainty size of end collection pre-estimation.

Step 420, according to load factor average and the standard deviation of described each end collection, draw probability density curve and the accumulated probability densimetric curve of each end collection load factor.

Step 430, probability density curve and accumulated probability densimetric curve are done to normalized, obtain average probability densimetric curve and the average accumulated probability densimetric curve of target end collection.

Step 440, obtain sample average and the indeterminacy section of target end collection load factor.

In the present embodiment, the corresponding numerical value by the horizontal ordinate of the center line of described average probability densimetric curve

sample average as target end collection load factor;

In the present embodiment, according to α/2 and 1-α/2 accumulated probability density line two numerical value corresponding with the horizontal ordinate of two intersection points of average cumulative probability density curve u _s with

obtain the sample indeterminacy section of target end collection load factor

wherein, α is default level of significance value, 0≤α≤1;

As example and non-limiting, O.05 or O.1, wherein the value of α is less can get level of significance value α for, the sample indeterminacy section of this end collection load factor is larger.

The uncertainty of step 450, calculating end collection pre-estimation power consumption values and pre-estimation power consumption values.

According to load factor sample average and the sample indeterminacy section of target end collection, calculated population load factor and indeterminacy section.

In the present embodiment, target end collection load factor sample value is the sample average that is independent of same energy consumption classification end collection load factor, when described same energy consumption classification end collection load factor sample totally meets normal distribution, described and target end collection are belonged to the sample average of the end collection load factor of same energy consumption classification

as the overall load rate of described target end collection, will

overall load rate indeterminacy section as described target end collection.

The rated power of calculating target end collection and the product of overall load rate obtain the pre-estimation power consumption values of described end collection; The rated power of calculating target end collection and the product of overall load rate uncertainty obtain the uncertainty of pre-estimation power consumption values, the half width width that described overall load rate uncertainty is overall load rate indeterminacy section.In the present embodiment, overall load rate uncertainty is:

$[t_{\mathrm{\α}/2}s\sqrt{1+1/N}-(-t_{\mathrm{\α}/2}s\sqrt{1+1/N})]/2=t_{\mathrm{\α}/2}s\sqrt{1+1/N}$

The second prediction mode: in the situation that end energy collecting consumption can directly be measured, choose the target end collection that is connected with the distribution branch road at a time period or a plurality of actual consumption that represents the time period, can also measure if necessary other influence factor parameter relevant to energy consumption, as forecast sample, set up end collection pre-estimation model.Similar according to the load factor characteristic of similar end collection, set up the load factor appraising model, at sample, meet under the condition of normal distribution, mode by statistics obtains sample load factor average and indeterminacy section thereof under confidence level, estimate evaluation and indeterminacy section thereof according to sample load factor average and indeterminacy section calculated population load factor thereof, further, for example, according to necessary input parameter (rated power), the energy consumption of each end collection that calculating is connected with the distribution branch road estimates evaluation and energy consumption is estimated the evaluation uncertainty.

Fig. 5 is the process flow diagram of the calculating end collection pre-estimation energy consumption parameter of first embodiment of the invention.This flow process specifically comprises:

Step 510: gather the energy consumption sequence of target end collection in the certain hour section as sample, described sample meets normal distribution.

In the present embodiment, select interior (as 1 year) the target end collection actual consumption sequential value of certain hour section t as sample, described sample meets normal distribution.

Step 520: under certain confidence level, calculate load factor average and the standard deviation of end collection.

Obtain load factor or the load factor relevant to chronomere of end collection according to load factor computing formula (load factor=end collection real power/end collection rated power * 100%), load factor average and the standard deviation of statistics end collection.

Wherein, for improving estimated accuracy, sample is divided into to two classes, one class is less than average, one class is greater than average, adds up respectively the standard deviation of two class samples with respect to the error of average, obtains lower standard deviation and upper standard deviation, both sums are called the interval size of standard deviation, have reflected the uncertainty size of end collection pre-estimation.

The uncertainty of step 530, calculating end collection pre-estimation power consumption values and pre-estimation power consumption values.

According to load factor sample average and the standard deviation of target end collection, calculated population load factor and indeterminacy section.

In the present embodiment, in the situation that sample meets normal distribution, when sample size is enough large, overall load rate and described load factor sample average equate, overall load rate indeterminacy section is:

overall load rate indeterminacy section is relevant with the indeterminacy section of sample load factor.

The rated power of calculating target end collection and the product of overall load rate obtain the pre-estimation power consumption values of described end collection; The rated power of calculating target end collection and the product of overall load rate uncertainty obtain the uncertainty of pre-estimation power consumption values,

Wherein, the set that described end collection is one or more same categories of device of same distribution branch road; The half width that described overall load rate uncertainty is overall load rate indeterminacy section.In the present embodiment, overall load rate uncertainty is:

$[z_{\mathrm{\α}/2}\frac{\mathrm{\σ}}{\sqrt{n}}-(-z_{\mathrm{\α}/2}\frac{\mathrm{\σ}}{\sqrt{n}})]/2=z_{\mathrm{\α}/2}\frac{\mathrm{\σ}}{\sqrt{n}}$

In the present embodiment, study carefully election contest and select which kind of obtain manner and carry out end energy collecting consumption estimation, need analyze in conjunction with the distribution system information of building rear definite.As the end collection consists of single or a small amount of equipment, the condition that possesses direct metering or employing the first pre-estimation method, seldom, Accuracy is little as a result to metering to adopt the uncertainty that indirect metering method brings, and also can adopt the second prediction mode for the consumption of this end energy collecting simultaneously; As the end collection consists of a plurality of equipment, end collection equipment hybrid power supply with other type, distribute and too disperse, directly metering has difficulties and maybe can't adopt the condition of the first prediction mode, select the second prediction mode to carry out the prediction of end energy collecting consumption, obtain end energy collecting consumption eigenwert and prediction uncertainty.

When carrying out the prediction of end energy collecting consumption eigenwert, the load factor model be divided into by the time load factor model and accumulative total load factor model two classes.Certainly, optional according to the time scale of actual conditions load factor model.

Most end collection in public building all possess a very important character, can be divided into several dissimilar periods whole year, and the energy consumption characteristics of similar period is similar, and the energy consumption characteristics of dissimilar period has marked difference.

Elevator load rate model and season, round the clock, working day etc. has a correlativity.Certainly, other subitem energy consumption type carry out the pre-estimation of energy consumption eigenwert with energy equipment the time, the load factor model also has corresponding change.Information center for example, belong to annual not modification with can equipment, this category feature with can equipment throughout the year, operation incessantly round the clock, its energy consumption is basically constant; In addition, also have some with belonging to the type such as variation or variation on off-day round the clock round the clock by equipment.

One of the present embodiment preferred embodiment in, described step 110 also comprises the end collection information that each distribution branch road comprises of obtaining; Also comprise that between step 120 and step 130 calculating do not install gauging table distribution branch road branch road power consumption values within a predetermined period of time, and determine the distribution branch road that need to carry out the energy consumption fractionation; Described step 130 for according to and needs carry out pre-estimation power consumption values and the uncertainty thereof of each end collection that the distribution branch road of energy consumption fractionation is connected, the distribution branch road power consumption values of needs being carried out to the energy consumption fractionation is split according to described needs, carrying out each end collection that the distribution branch road of energy consumption fractionation is connected, and obtains the fractionation power consumption values of each end collection and each splits the uncertainty of power consumption values.

Wherein, described end collection information comprise each with can facility information, each is by separate energy consumption under can equipment, each name information with energy consumption temporal characteristics, switchgear building branch road relation and each switchgear building branch road that can equipment.Wherein, with can facility information comprising by information such as power that can equipment, management modes, can also comprise the information such as device name, power error value of this use energy equipment; Switchgear building branch road relation comprises each switchgear building branch road information such as relationship between superior and subordinate each other, can also be which to include under each switchgear building branch road use the information such as energy equipment.

Here it should be noted that, according to early stage, the architectural electric situation of investigation is divided according to the building energy consumption disaggregated model, and generating configuration file is stored.Can obtain by the configuration file that calls building the end collection information be connected with each distribution branch road.When the electric energy energy consumption is carried out to metering separate, by calling corresponding configuration file, with regard to known which switchgear building branch road energy consumption, need to carry out the energy consumption fractionation.

Typical distribution system possesses tree structure, adopts recursive algorithm, and judgement will be done how many times and split.Generally, how many gauging tables are arranged in system, just need to do how many times and split; If all situations of dress table of certain dress table branch road subordinate branch road occur, this ammeter generally can be ignored in calculating.

Reach pre-estimation power consumption values and the uncertainty thereof of the end collection be connected with described distribution branch road according to the total energy consumption in distribution branch road predetermined amount of time, utilize optimization to split algorithm distribution branch road energy consumption is split according to each end collection.In the present embodiment, split algorithmic formula with irrelevant by the energy device type, there is versatility.Separate as the end energy collecting consumption that splits object.

The energy consumption data recorded by gauging table obtains its place switchgear building branch road energy consumption sum Y of each end collection within a predetermined period of time, the number that the end that this distribution branch road connects integrates is as n (n>=1), the pre-estimation energy consumption parameter of each end collection under 1-α confidence level obtained according to the load factor model assessment

Ask: $x_i~F^{\′}({\hat{\hat{x}}}_i,u_i),$ Make $Y=\underset{i=1}{\overset{n}{\mathrm{\Σ}}}{\hat{\hat{x}}}_i,$ And F ' is better than F.。

Wherein, be the pre-estimation power consumption values of i end collection, s _ibe the uncertainty of the pre-estimation power consumption values of i end collection,

be the fractionation power consumption values of i end collection, μ _iit is the uncertainty of the fractionation power consumption values of i end collection.

According to above-mentioned known conditions, utilize following formula to calculate respectively fractionation power consumption values and the uncertainty thereof of each end collection:

${\hat{\hat{x}}}_i={\hat{x}}_i+\frac{s_i^2}{\underset{i\≠i}{\overset{n}{\underset{j=l}{\mathrm{\Σ}}}}{s}_j^2}(Y-\underset{j\≠i}{\overset{n}{\underset{j=l}{\mathrm{\Σ}}}}{\hat{x}}_j);$

${\hat{\hat{e}}}_i={\hat{\hat{x}}}_i-x={\hat{x}}_i-x+\frac{s_i^2}{\underset{j\≠i}{\overset{n}{\underset{j=l}{\mathrm{\Σ}}}}{s}_j^2}(Y-\underset{j\≠i}{\overset{n}{\underset{j=l}{\mathrm{\Σ}}}}{\hat{x}}_j)={\hat{e}}_i+\frac{s_i^2}{\underset{j\≠i}{\overset{n}{\underset{j=l}{\mathrm{\Σ}}}}{s}_j^2}\underset{j\≠i}{\overset{n}{\underset{j=l}{\mathrm{\Σ}}}}{\hat{e}}_j;$

Wherein,

error for end collection fractionation power consumption values and actual consumption value.

Whether in split process, needing has in check result

situation.If no, split and calculated; If have, there are one or more end collection (not comprising i end collection) in explanation, and their actual consumption sum far surpasses branch road energy consumption Y, and its coefficient of dispersion is but very little.

In this case, only need simply handle

be taken as 0, i end collection removed from former fractionation problem simultaneously, then split by the method for the first step, until do not have

situation till.

The solution procedure of end collection uncertainty is as follows:

According to $\begin{array}{cc}{\hat{\hat{e}}}_i={\hat{e}}_i+\frac{s_i^2}{\underset{j\≠i}{\overset{n}{\underset{j=l}{\mathrm{\Σ}}}}{s}_j^2}\underset{j\≠i}{\overset{n}{\underset{j=l}{\mathrm{\Σ}}}}{\hat{e}}_j,& {\hat{e}}_i~N(0,s_i^2);\end{array}$ Calculate $\begin{array}{ccc}E\left({\hat{\hat{e}}}_i\right),& D\left({\hat{\hat{e}}}_i\right),& u_i\end{array}$

$E\left({\hat{\hat{e}}}_i\right)=E({\hat{e}}_i-\frac{s_i^2}{\stackrel{n}{\underset{\underset{j\≠i}{j=l}}{\mathrm{\Σ}}{s}_j^2}}\underset{j\≠i}{\overset{n}{\underset{j=l}{\mathrm{\Σ}}}}{\hat{e}}_j)=E\left({\hat{e}}_i\right)-\frac{s_i^2}{\underset{j\≠i}{\overset{n}{\underset{j=l}{\mathrm{\Σ}}}}{s}_j^2}\underset{j\≠i}{\overset{n}{\underset{j=l}{\mathrm{\Σ}}}}E\left({\hat{e}}_j\right)=0;$

$D\left({\hat{\hat{e}}}_i\right)=D({\hat{e}}_i-\frac{s_i^2}{\underset{\underset{j\≠i}{j=l}}{\stackrel{n}{\mathrm{\Σ}}}{s}_j^2}\underset{\underset{j\≠i}{j=l}}{\stackrel{n}{\mathrm{\Σ}}}{\hat{e}}_i)=s_i^2(1-\frac{s_i^2}{\underset{j\≠i}{\overset{n}{\underset{j=l}{\mathrm{\Σ}}}}{s}_j^2});$

$u_i=\sqrt{D\left({\hat{\hat{e}}}_i\right)}=\sqrt{s_i^2(1-\frac{s_i^2}{\underset{j\≠i}{\overset{n}{\underset{j=l}{\mathrm{\Σ}}}}{s}_j^2})};$

illustrate that the multiple unbiasedness of estimating is identical with pre-estimation;

illustrate that the multiple effective sex ratio pre-estimation of estimating is more excellent.

The complete result that optimization splits: the point estimate under confidence level 1-α is

fiducial interval is $\widehat{\hat{x_i}}\±u_i.$

Fractionation computing method of the present invention have guaranteed consistance (each end energy collecting consumption sum equals the branch road energy consumption) and the unbiasedness that energy consumption splits, and have higher validity; The net result expression formula is simple, is convenient to rapid, high volume and calculates.

According to above-mentioned fractionation algorithm, if a switchgear building branch road only contains an end collection, the data that this switchgear building branch road gauging table records are the energy consumption of this end collection, and uncertainty is relevant with the precision of gauging table.Result of calculation is consistent with the result that splits algorithm according to above-mentioned optimization.In a plurality of end collection situations, the result of calculation obtained is also consistent with according to above-mentioned optimization, splitting arithmetic result.Therefore, optimization splits algorithm in the situation that guarantee to split accuracy, calculates simpler.

Step 140, according to the separate energy consumption type under different end collection, the fractionation power consumption values that will belong to the end collection of same consumption energy subitem type is merged, and obtains the subitem energy consumption measure value of electric energy, and calculates the uncertainty of each subitem energy consumption measure value; The uncertainty of described subitem energy consumption measure value refer to the to itemize width of energy consumption measure value indeterminacy section.

Fig. 6 is the schematic diagram of the building energy consumption disaggregated model of first embodiment of the invention.As shown in Figure 6, building energy consumption is carried out to the multi-layer division according to energy consumption purposes and device type, form unified, normalized separate energy consumption model, comprise the specific function zone energy consumptions such as air conditioning energy consumption, lighting energy consumption, socket or office equipment energy consumption, elevator energy consumption, information center or kitchen.This separate energy consumption model has versatility, can meet the separate energy consumption requirement that existing building or needs carry out the building of energy consumption measure design, and, by unified, normalized separate energy consumption model, be easy to realize the operations such as analysis, diagnosis and management of separate energy consumption between different buildings.

Under the prerequisite of independence assumption and normal distribution hypothesis, the energy consumption of a plurality of similar end collection is synthetic defers to following principle:

$x=\mathrm{\Σ}{\hat{\hat{x}}}_i,u=\sqrt{\mathrm{\Σ}{u}_i^2}$

The subitem energy consumption measure value that wherein x is electric energy under a certain classification; U is the uncertainty of subitem energy consumption measure value.

Wherein, if end energy collecting consumption is directly metering, getting uncertainty is 0.

After different buildings is carried out metering separate according to building subitem energy consumption model unification, normalized, can carry out vertical or horizontal relatively waiting according to each energy consumption of itemizing, thereby accurately locate the defect of the unreasonable or operating strategy aspect of energy for building, for necessary reducing energy consumption scheme provides foundation.

The present embodiment technical scheme is by being classified the electric energy energy consumption according to unified, normalized separate energy consumption model, situation according to mount message investigation in early stage, in the situation that fully do not fill table or not complete dress table, the historical data information of accumulation of the take energy consumption feature that is each end collection of basic pre-estimation, and, in conjunction with the energy consumption feature of each end collection and the energy consumption of switchgear building branch road, utilize the optimization method for splitting to be split according to each end collection switchgear building branch road energy consumption.The method is when effectively reducing construction cost, make the fractionation energy consumption of each end collection and split the calculating of uncertainty and realize that with device type haveing nothing to do, having simply the metering separate accuracy is high, the advantage of highly versatile, be conducive to realize the fine-grained management of electric power energy.

Below the embodiment of the electric energy subitem energy consumption measure device that provides for the embodiment of the present invention.Embodiment and the above-mentioned electric energy of the device energy consumption measure embodiment of the method for itemizing belongs to same design, and the detail content of detailed description not in the embodiment of device, can be with reference to above-described embodiment.

Embodiment bis-

Fig. 7 is the structural drawing of the electric energy subitem energy consumption measure device of second embodiment of the invention, and as shown in Figure 7, described device comprises:

Acquiring unit 71, for obtaining the measurement data of each gauging table;

Branch road energy consumption calculation unit 72, for calculating each gauging table place switchgear building branch road branch road power consumption values within a predetermined period of time according to described measurement data;

Split energy consumption calculation unit 73, pre-estimation power consumption values and uncertainty thereof for each end collection according to being connected with the distribution branch road, power consumption values by the distribution branch road in described predetermined amount of time is split according to each end collection be connected with described distribution branch road, obtains fractionation power consumption values and the uncertainty thereof of each end collection;

Subitem energy consumption calculation unit 74, be used for according to the separate energy consumption type under different end collection, the end collection that will belong to same consumption energy subitem type splits power consumption values and is merged, and obtains the subitem energy consumption measure value of electric energy and the uncertainty of each subitem energy consumption measure value

Wherein, the uncertainty of described pre-estimation power consumption values refers to the half width of pre-estimation power consumption values indeterminacy section; The uncertainty of described fractionation power consumption values refers to split the half width of power consumption values indeterminacy section; The uncertainty of described subitem energy consumption measure value refer to the to itemize half width of energy consumption measure value indeterminacy section.

Described device also comprises pre-estimation energy consumption parameter calculation unit, for under certain confidence level, reach pre-estimation power consumption values and the uncertainty thereof of the known energy consumption calculation of characteristic parameters end collection relevant to described end energy collecting consumption pre-estimation model according to end energy collecting consumption pre-estimation model.

Described pre-estimation energy consumption parameter calculation unit is under certain confidence level, and according to pre-estimation power consumption values and the uncertainty thereof of end collection load factor model and rated power calculating end collection, wherein, described pre-estimation energy consumption parameter calculation unit comprises:

The sample collection subelement, the energy consumption characteristic sequence of end collection in the certain hour section that belongs to same energy consumption classification for collection and target end collection is as sample, and described sample meets normal distribution;

Sample average and indeterminacy section obtain subelement, for under 1-α confidence level, calculate load factor sample average and the indeterminacy section thereof that belongs to the end collection of same energy consumption classification with target end collection according to end collection load factor model, as sample average and the indeterminacy section thereof of described target end collection;

Population mean and indeterminacy section acquiring unit, for the load factor sample average according to described target end collection and indeterminacy section calculated population load factor and indeterminacy section thereof;

The pre-estimation parameter calculation unit, obtain the pre-estimation power consumption values of described end collection for the product of the rated power that calculates the end collection and overall load rate; The rated power that calculates target end collection and the product of relative uncertainty obtain the uncertainty of pre-estimation power consumption values;

Wherein, α is default level of significance value, 0≤α≤1; Described end collection is the set of one or more same categories of device of same distribution branch road; The half width that described relative uncertainty is overall load rate indeterminacy section.

Described pre-estimation energy consumption parameter calculation unit also can be carried out the calculating of end collection pre-estimation power consumption values and indeterminacy section thereof according to the actual consumption value of the target end collection of direct measurement.Detailed process can, referring to the description of Fig. 5 embodiment part, repeat no more here.

The measuring apparatus of the present embodiment is by being classified the electric energy energy consumption according to unified, normalized separate energy consumption model, according to investigation in early stage situation, in the situation that fully do not fill table or not complete dress table, the historical data information of accumulation of the take energy consumption feature that is each end collection of basic pre-estimation, and, in conjunction with the energy consumption feature of each end collection and the energy consumption of switchgear building branch road, utilize the optimization method for splitting to be split according to each end collection switchgear building branch road energy consumption.This device makes the fractionation energy consumption of each end collection and splits the calculating of uncertainty and realize that with device type haveing nothing to do, having simply the metering separate accuracy is high, and the advantage of highly versatile is conducive to realize the fine-grained management of electric power energy.

The foregoing is only the preferred embodiments of the present invention, be not limited to the present invention, to those skilled in the art, the present invention can have various changes and variation.All any modifications of doing, be equal to replacement, improvement etc., within protection scope of the present invention all should be included within spirit of the present invention and principle.

Claims (16)

1. an electric energy subitem energy consumption measure method, is characterized in that, comprises the steps:

S01, obtain the measurement data of each gauging table;

S02, according to described measurement data, calculate each gauging table place distribution branch road branch road power consumption values within a predetermined period of time;

Pre-estimation power consumption values and the uncertainty thereof of each end collection that S03, basis are connected with the distribution branch road, power consumption values by the distribution branch road in described predetermined amount of time is split according to each end collection be connected with described distribution branch road, obtains fractionation power consumption values and the uncertainty thereof of each end collection;

S04, according to the separate energy consumption type under different end collection, the fractionation power consumption values that will belong to the end collection of same consumption energy subitem type is merged, and obtains the subitem energy consumption measure value of electric energy and the uncertainty of each subitem energy consumption measure value;

Wherein, the uncertainty of described pre-estimation power consumption values refers to the half width of pre-estimation power consumption values indeterminacy section; The uncertainty of described fractionation power consumption values refers to split the half width of power consumption values indeterminacy section; The uncertainty of described subitem energy consumption measure value refer to the to itemize half width of energy consumption measure value indeterminacy section.

2. electric energy according to claim 1 subitem energy consumption measure method, it is characterized in that, the pre-estimation power consumption values of described end collection and uncertainty thereof are under certain confidence level, consume according to end energy collecting consumption pre-estimation model and with described end energy collecting that known energy consumption calculation of characteristic parameters that the pre-estimation model is relevant obtains.

3. electric energy according to claim 2 subitem energy consumption measure method, it is characterized in that, the pre-estimation power consumption values of described end collection and uncertainty thereof are under certain confidence level, according to end collection load factor model and rated power, calculate, and concrete steps comprise:

The energy consumption characteristic sequence of end collection in the certain hour section that collection and target end collection belong to same energy consumption classification is as sample, and described sample meets normal distribution;

Under 1-α confidence level, calculate load factor sample average and the indeterminacy section thereof that belongs to the end collection of same energy consumption classification with target end collection according to end collection load factor model, as sample average and the indeterminacy section thereof of described target end collection;

Load factor sample average and indeterminacy section calculated population load factor and indeterminacy section thereof according to described target end collection;

The rated power of calculating end collection and the product of overall load rate obtain the pre-estimation power consumption values of described end collection; The rated power of calculating end collection and the product of overall load rate uncertainty obtain the uncertainty of pre-estimation power consumption values;

Wherein, α is default level of significance value, 0≤α≤1; Described target end collection is the set of one or more same categories of device of same distribution branch road; The half width that described overall load rate uncertainty is overall load rate indeterminacy section.

4. electric energy according to claim 2 subitem energy consumption measure method, it is characterized in that, the pre-estimation power consumption values of described end collection and uncertainty thereof are under certain confidence level, according to end collection load factor model and rated power, calculate, and concrete steps comprise:

Gather the energy consumption characteristic sequence of target end collection in the certain hour section as sample, described sample meets normal distribution;

Under 1-α confidence level, calculate load factor sample average and the sample standard deviation of target end collection according to end collection load factor model;

Load factor sample average and sample standard deviation calculated population load factor and indeterminacy section thereof according to described target end collection;

The rated power of calculating end collection and the product of overall load rate obtain the pre-estimation power consumption values of described end collection; The rated power of calculating end collection and the product of overall load rate uncertainty obtain the uncertainty of pre-estimation power consumption values;

Wherein, α is default level of significance value, 0≤α≤1; The half width that described overall load rate uncertainty is overall load rate indeterminacy section.

5. electric energy subitem energy consumption measure method according to claim 1, is characterized in that, described step S03 specifically comprises:

Setting gauging table place distribution branch road branch road power consumption values within a predetermined period of time is Y, and the end collection be connected with the distribution branch road has n, n>=1, the fractionation energy consumption of i the end collection that calculating is connected with this distribution branch road according to following formula (1)

${\stackrel{\widehat{^}}{x}}_i={\hat{x}}_i+\frac{s_i^2}{\underset{\underset{j\≠i}{j=1}}{\overset{n}{\mathrm{\Σ}}}{s}_j^2}(Y-\underset{\underset{j\≠i}{j=1}}{\overset{n}{\mathrm{\Σ}}}{\hat{x}}_j)---\left(1\right)$

Calculate the uncertainty u of the fractionation power consumption values of described i end collection according to following formula (2) _i:

$u_i=\sqrt{s_i^2(1-\frac{s_i^2}{\underset{\underset{j\≠1}{j=1}}{\overset{n}{\mathrm{\Σ}}}{s}_j^2})}---\left(2\right)$

Wherein,

for the pre-estimation power consumption values of described i end collection, s _ifor the uncertainty of the pre-estimation power consumption values of described i end collection,

for the pre-estimation power consumption values of j end collection being connected with this distribution branch road, s _juncertainty for the pre-estimation power consumption values of described j end collection;

If calculate

the time, set the fractionation energy consumption of described i end collection

set the uncertainty u of the fractionation energy consumption of described i end collection _i=0.

6. electric energy subitem energy consumption measure method according to claim 1, is characterized in that, described step S01 also comprises the end collection information that each distribution branch road comprises of obtaining; Also comprise that between step S02 and step S03 calculating do not install gauging table distribution branch road branch road power consumption values within a predetermined period of time, and determine the distribution branch road that need to carry out the energy consumption fractionation; Described step S03 is pre-estimation power consumption values and the uncertainty thereof of each end collection according to being connected with distribution branch road to be split, each end collection that distribution branch road power consumption values described to be split is connected according to the distribution branch road with described to be split is split, and obtains the fractionation power consumption values of each end collection and the uncertainty of each fractionation power consumption values.

7. electric energy according to claim 6 subitem energy consumption measure method, it is characterized in that, described end collection information comprise each with can facility information, each is by separate energy consumption under can equipment, each name information with energy consumption temporal characteristics, switchgear building branch road relation and each switchgear building branch road that can equipment.

8. electric energy according to claim 1 subitem energy consumption measure method, is characterized in that, comprises one hour in described predetermined amount of time, 24 hours, 1 week, January or 1 year.

9. an electric energy subitem energy consumption measure device, is characterized in that, comprising:

Acquiring unit, for obtaining the measurement data of each gauging table;

Branch road energy consumption calculation unit, for calculating each gauging table place switchgear building branch road branch road power consumption values within a predetermined period of time according to described measurement data;

Split the energy consumption calculation unit, pre-estimation power consumption values and uncertainty thereof for each end collection according to being connected with the distribution branch road, power consumption values by the distribution branch road in described predetermined amount of time is split according to each end collection be connected with described distribution branch road, obtains fractionation power consumption values and the uncertainty thereof of each end collection;

Subitem energy consumption calculation unit, for the separate energy consumption type according under different end collection, the end collection that will belong to same consumption energy subitem type splits power consumption values and is merged, and obtains the subitem energy consumption measure value of electric energy and the uncertainty of each subitem energy consumption measure value;

Wherein, the uncertainty of described pre-estimation power consumption values refers to the half width of pre-estimation power consumption values indeterminacy section; The uncertainty of described fractionation power consumption values refers to split the half width of power consumption values indeterminacy section; The uncertainty of described subitem energy consumption measure value refer to the to itemize half width of energy consumption measure value indeterminacy section.

10. electric energy according to claim 9 subitem energy consumption measure device, it is characterized in that, described device also comprises pre-estimation energy consumption parameter calculation unit, for under certain confidence level, reach pre-estimation power consumption values and the uncertainty thereof of the known energy consumption calculation of characteristic parameters end collection relevant to described end energy collecting consumption pre-estimation model according to end energy collecting consumption pre-estimation model.

11. electric energy subitem energy consumption measure device according to claim 10, it is characterized in that, described pre-estimation energy consumption parameter calculation unit is under certain confidence level, pre-estimation power consumption values and uncertainty thereof according to end collection load factor model and rated power calculating end collection, wherein, described pre-estimation energy consumption parameter calculation unit comprises:

The sample collection subelement, the energy consumption characteristic sequence of end collection in the certain hour section that belongs to same energy consumption classification for collection and target end collection is as sample, and described sample meets normal distribution;

Sample average and indeterminacy section obtain subelement, for under 1-α confidence level, calculate load factor sample average and the indeterminacy section thereof that belongs to the end collection of same energy consumption classification with target end collection according to end collection load factor model, as sample average and the indeterminacy section thereof of described target end collection;

Population mean and indeterminacy section acquiring unit, for the load factor sample average according to described target end collection and indeterminacy section calculated population load factor and indeterminacy section thereof;

The pre-estimation parameter calculation unit, obtain the pre-estimation power consumption values of described end collection for the product of the rated power that calculates the end collection and overall load rate; The rated power that calculates target end collection and the product of relative uncertainty obtain the uncertainty of pre-estimation power consumption values;

Wherein, α is default level of significance value, 0≤α≤1; Described end collection is the set of one or more same categories of device of same distribution branch road; The half width that described relative uncertainty is overall load rate indeterminacy section.

12. electric energy subitem energy consumption measure device according to claim 10, it is characterized in that, described pre-estimation energy consumption parameter calculation unit is under certain confidence level, pre-estimation power consumption values and uncertainty thereof according to end collection load factor model and rated power calculating end collection, wherein, described pre-estimation energy consumption parameter calculation unit comprises:

The sample collection subelement, for gathering the energy consumption characteristic sequence of target end collection in the certain hour section as sample, described sample meets normal distribution;

Sample average and indeterminacy section obtain subelement, under 1-α confidence level, calculate load factor sample average and the sample standard deviation of target end collection according to end collection load factor model;

Population mean and indeterminacy section acquiring unit, for the load factor sample average according to described target end collection and sample standard deviation calculated population load factor and indeterminacy section thereof;

The pre-estimation parameter calculation unit, obtain the pre-estimation power consumption values of described end collection for the product of the rated power that calculates the end collection and overall load rate; The rated power of calculating target end collection and the product of overall load rate uncertainty obtain the uncertainty of pre-estimation power consumption values;

Wherein, α is default level of significance value, 0≤α≤1; The half width that described overall load rate uncertainty is overall load rate indeterminacy section.

13. electric energy according to claim 9 subitem energy consumption measure device, is characterized in that, described fractionation energy consumption calculation unit specifically for:

Setting gauging table place distribution branch road branch road power consumption values within a predetermined period of time is Y, and the end collection be connected with the distribution branch road has n, n>=1, the fractionation energy consumption of i the end collection that calculating is connected with this distribution branch road according to following formula (1)

${\stackrel{\widehat{^}}{x}}_i={\hat{x}}_i+\frac{s_i^2}{\underset{\underset{j\≠i}{j=1}}{\overset{n}{\mathrm{\Σ}}}{s}_j^2}(Y-\underset{\underset{j\≠i}{j=1}}{\overset{n}{\mathrm{\Σ}}}{\hat{x}}_j)---\left(1\right)$

Calculate the uncertainty u of the fractionation power consumption values of described i end collection according to following formula (2) _i:

$u_i=\sqrt{s_i^2(1-\frac{s_i^2}{\underset{\underset{j\≠1}{j=1}}{\overset{n}{\mathrm{\Σ}}}{s}_j^2})}---\left(2\right)$

Wherein,

for the pre-estimation power consumption values of described i end collection, s _ifor the uncertainty of the pre-estimation power consumption values of described i end collection,

for the pre-estimation power consumption values of j end collection being connected with this distribution branch road, s _juncertainty for the pre-estimation power consumption values of described j end collection;

If calculate

the time, set the fractionation energy consumption of described i end collection set the uncertainty u of the fractionation energy consumption of described i end collection _i=0.

14. electric energy subitem energy consumption measure device according to claim 9, is characterized in that the end collection information that described acquiring unit also comprises for obtaining each distribution branch road; Gauging table distribution branch road branch road power consumption values is not within a predetermined period of time also installed for calculating in described branch road energy consumption calculation unit, and determines the distribution branch road that need to carry out the energy consumption fractionation; Pre-estimation power consumption values and the uncertainty thereof of each end collection that described fractionation energy consumption calculation unit is connected for the distribution branch road according to be split, each end collection that distribution branch road power consumption values described to be split is connected according to the distribution branch road with described to be split is split, and obtains the fractionation power consumption values of each end collection and the uncertainty of each fractionation power consumption values.

15. electric energy subitem energy consumption measure device according to claim 14, it is characterized in that, described end collection information comprise each with can facility information, each is by separate energy consumption under can equipment, each name information with energy consumption temporal characteristics, switchgear building branch road relation and each switchgear building branch road that can equipment.

16. electric energy according to claim 9 subitem energy consumption measure device, is characterized in that, comprises one hour in described predetermined amount of time, 24 hours, 1 week, January or 1 year.

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