CN105116723B - A kind of energy consumption for requirement response cuts down assessment algorithm - Google Patents

A kind of energy consumption for requirement response cuts down assessment algorithm Download PDF

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CN105116723B
CN105116723B CN201510362288.1A CN201510362288A CN105116723B CN 105116723 B CN105116723 B CN 105116723B CN 201510362288 A CN201510362288 A CN 201510362288A CN 105116723 B CN105116723 B CN 105116723B
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day
requirement
baseline
energy consumption
value
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CN105116723A (en
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吴小东
程睿远
奚培锋
张少迪
王耀文
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Shanghai Electrical Apparatus Research Institute Group Co Ltd
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Abstract

The present invention relates to a kind of energy consumption for requirement response to cut down assessment algorithm, and this method is divided into two affairs on flow is performed, energy consumption data acquisition respectively on ordinary days and pretreatment affairs, and the requirement response processing affairs of event day.The advantage of the invention is that:Using the method for historical data analysis, the history such as the weather conditions of Demand-side, traffic-operating period operation rule is converted into baseline and calculates the factor, is applied to the accuracy that energy consumption baseline forecast is ensure that in the prediction to current energy consumption.Energy consumption instant value and total amount are measured and assessed simultaneously, avoids instantaneous numerical value can not react the limitation integrally to consume energy first, next meets the needs of supply side is assessed energy consumption peak value.

Description

A kind of energy consumption for requirement response cuts down assessment algorithm
Technical field
The present invention relates to a kind of method that energy consumption is carried out in requirement Response System and cuts down assessment.
Background technology
Power supply enterprise by designing a series of Management plans, the power network activity to power demand side planned, perform and Monitoring, this program planning are referred to as dsm.Requirement response is one of scheme of dsm, refers to power supply enterprise The economic incentives measures such as index are cut down by changing Spot Price, selling energy consumption, guiding user adjusts electricity consumption, so as to reach peak clipping Fill valley, ensure the mechanism of power balance.
In requirement response scheme, power supply enterprise by Spot Price or cuts down energy by establishing " requirement response events " The requirement of consumption is sent to user, and energy consumption reduction action, and feedback result are performed by user.Within the system, one kind need to be established to comment Estimate system, the energy consumption reduction request for whether completing energy supply side for evaluating user and proposing, how complete effect.
Due to being related to the economic interests of power supply and electricity consumption both sides, therefore, a kind of just objective, automation energy consumption is cut Subtract assessment algorithm, be the key problem for realizing requirement response.
Existing some Patents are related to this field at present, but still come with some shortcomings.
1st, patent 201410061409.4《The automatic requirement response evaluation system and method for dsm》
It which disclose the automatic requirement response evaluation system and method for a kind of dsm, including data acquisition module Block, user's requirement response implementation recruitment evaluation module, user simulate settlement module, and user examines put on record module and regional power grid sound Should be able to force estimation module;The reasonable assessment to requirement response data is realized, the improvement for requirement response provides foundation, favorably In the implementation result of constantly lifting requirement response, important function of the requirement response in Regional Energy optimization has been given full play to.
" the user's requirement response implementation recruitment evaluation module " being related in the patent, it there may be when actually performing following Some problems.
1) energy consumption measure value was used as using the instant value of 5 minutes or 15 minutes.
Larger fluctuation often be present in the energy consumption curve of industrial enterprise.In this case, gathered only with instantaneous value, can not be anti- The actual use energy situation in a period of time is answered, it is not just objective enough.
2) when calculating baseline, the collection value of two hours before the calculating of meteorological Dynamic gene occurs according to requirement response events It is basic as calculating.
This computational methods there is a possibility that user plays tricks.By taking freezer as an example, user can send out in requirement response events Raw the first two hour, temperature is reduced, increase energy consumption, then energy consumption baseline can raise on the basis of original.And in requirement response events In period, user maintains temperature can lower slightly than usual and completes event performance assessment criteria.Actual energy consumption does not reduce.
2nd, patent 201310732406.4《A kind of intelligent power requirement responds PLAN Overall evaluation method》
The macroscopic view which disclose a kind of requirement response plan performs flow, and the requirement of evaluation index.Wherein, weigh Profit requires 4 " obtain user response rate index, user's significant response rate index and user and cut down electricity ratio indicator " mentioned, main It is used to count the implementation status of all user sides in supply side.The specific evaluation algorithms of each index do not provide carefully Section.
The content of the invention
It is an object of the invention to provide more objective and fair, is carried out with more operability in requirement Response System Energy consumption cuts down the method assessed.
In order to achieve the above object, commented the technical scheme is that providing a kind of energy consumption for requirement response and cutting down Estimation algorithm, it is characterised in that be included in the need for receiving supply side to electricity consumption side progress energy consumption data acquisition and electricity consumption side on ordinary days After measuring response events, requirement response events affairs are performed, wherein, carrying out energy consumption data acquisition to electricity consumption side on ordinary days includes following step Suddenly:
User side according to the every workday that acquisition interval set in advance is calculated in daily operation in real time it is each when Between section requirement value, and be stored in database, wherein, the every workday is divided into multiple periods according to acquisition interval, certain (60/ collection of the requirement value of individual period=(active power-current slot begins with work(power at the end of current slot) * It is spaced minute value), and data and acquisition time corresponding with the data are stored in database;
After electricity consumption side receives the requirement response events of supply side, perform requirement response events affairs and comprise the following steps:
Step 1, electricity consumption side obtain the requirement of requirement response events from supply side, including at least following information:Event time, need Amount response requires aggregate values DRtotal and maximum power dissipation DRins;
Step 2, using event several working days a few days ago as baseline day is calculated, wherein, event day rings for requirement occurs Answer the date of event;
Step 3, the average that each baseline calculates the requirement of day same time period is calculated respectively, using the average of the requirement as base Line value, baseline value corresponding with each period is obtained, so as to form user's requirement baseline, wherein, the baseline value of i-th of period For DMi
Step 4, energy consumption reduction index is calculated, the energy consumption cuts down index and comprises at least energy consumption reduction aggregate values delivery rate and wink Between power delivery rate, wherein:
In formula, the total number for the period that n is included by event time, DEiFor the need for i-th of period being calculated in real time Value;
The DE of instantaneous power delivery rate=not less than DRinsiNumber/n;
Step 5, energy consumption is cut down to index passback.
Preferably, in the step 2, the system of selection that baseline calculates day comprises the following steps:
Step 2-1, several working days of event a few days ago are selected as candidate's baseline and calculate day;
Averagely obtained again respectively step 2-2, each candidate's baseline to be calculated to requirement value summation corresponding to all periods of day after Candidate's baseline calculates the average of the requirement value of day, judges whether each average meets sentencing for electricity consumption side regular working day set in advance Calibration is accurate, if incongruent candidate's baseline be present calculates day, into step 2-3, otherwise, into step 2-4;
Step 2-3, incongruent candidate's baseline is calculated and rejected day, the working day before postponing is as new candidate's baseline Day is calculated, is then back to step 2-2;
Step 2-4, candidate's baseline is calculated and day calculates day as baseline.
Preferably, in the step 3, baseline value is adjusted using Dynamic gene P, then the base of i-th of period Line valueDMijThe requirement value of i-th of period of day is calculated for j-th of baseline, m is that baseline calculates day Total number.
Preferably, the Dynamic gene P is:
The average/of the requirement of factor day is adjusted with the adjustment factor degree of conformity highest of event day and baseline calculates the tune of day The average of the requirement of whole factor average degree of conformity highest adjustment factor day, wherein:
Provided with K adjustment factor, K >=1, and set event day and baseline and calculate day on the basis of day, then have K benchmark adjust because Element, then the workaday adjustment factor of each history and benchmark are calculated respectively in the range of adjustment factor date set in advance limitation The adjustment factor of day or the degree of conformity for adjusting factor average, it is adjustment factor day to take degree of conformity highest history working day, by l Individual history working day be defined as l-th by search day, then l-th by search day adjustment factor and the adjustment factor of Base day or The degree of conformity of adjustment factor average is:
The advantage of the invention is that:
Firstth, using the method for historical data analysis, the history such as the weather conditions of Demand-side, traffic-operating period are runed into rule It is converted into baseline and calculates the factor, is applied to the accuracy that energy consumption baseline forecast is ensure that in the prediction to current energy consumption.
Secondth, energy consumption instant value and total amount are measured and assessed simultaneously, avoid instantaneous numerical value can not react whole first The limitation of body power consumption, next meets the needs of supply side is assessed energy consumption peak value.
Brief description of the drawings
Fig. 1 is the flow chart for carrying out energy consumption data acquisition to electricity consumption side on ordinary days;
Fig. 2 is the flow chart that requirement response events affairs are performed after electricity consumption side receives the requirement response events of supply side.
Embodiment
To become apparent the present invention, hereby with preferred embodiment, and accompanying drawing is coordinated to be described in detail below.
Some special concepts used in the present invention are now described below:
1) working day:Electricity consumption side carries out the date of production and operation behavior.
2) period on working day:When larger change occurs for production and operation situation, it is necessary to be made a distinction to it.Therefore it is normal raw Production can be set day by user, belong to different periods.For example electricity consumption side adds a new production line, production power consumption must Very big change will occur, then need to restart a period on working day.
3) requirement:Refer to electricity consumption side during the daily normal production and operation, caused energy consumption.The value is in terms of ammeter Value " active power " is calculated.
4) regular working day criterion:For judging whether a workaday requirement value can reflect generally production fortune The standard of battalion's situation, it is a percentage range being set by the user.
5) regular working day:Regular working day is picked out from some working days, the requirement of regular working day should be in user In the range of the regular working day criterion of setting.Determination step is as follows:Step 1, some working days are selected;Step 2, this is calculated The average value of a little workaday requirements;Step 3, by each workaday requirement divided by the average value;Step 4, as certain working day counts Gained percentage is calculated in the range of regular working day criterion, then the day is regular working day.For example there are 5 working days, day Requirement is respectively 101,102,98,30,99, and the requirement that user sets regular working day will reach the 50% of average value, then requirement It can not meet condition for 30 that day, not be regular working day.The fluctuation of load is normally to show in industrial enterprise, therefore is being selected When taking regular working day, abnormal energy consumption need to be rejected, eliminate the deviation caused by industrial enterprise's fluctuation is big.
6) user's requirement curve:Refer to electricity consumption side requirement in one day, the curve formed according to the time.Requirement curve can Energy consumption of the electricity consumption side on the day of completely is represented, is the basis that requirement baseline calculates.
7) event day:The date of requirement response events occurs, event day is not counted into working day.
8) baseline calculates day:For calculating the regular working day of user's requirement baseline, if generally selecting event a few days ago Dry day, number of days are set by user according to own situation.Baseline calculates day in selection, it is necessary to reject non-normal working day, number of days In the case of not enough, postpone forward.For example event day was 2015/5/20 (Wednesday), baseline to be chosen calculates at 5 days day.Then first pick Except day off 5/16,5/17, working day 5/13,5/14,5/15,5/18,5/19 is selected.5/14 does not meet normal work in working day Make day requirement, then postpone forward, select 5/12.It is final to determine that baseline calculating day is:5/12、5/13、5/15、5/18、5/19.
9) user's requirement baseline:The datum curve of the daily energy consumption of electricity consumption side user is embodied, the user of day is calculated according to baseline Requirement mean value calculation.The calculating of the baseline, it is the requirement of same time point on user's requirement curve by former base line computation day Value calculates average value, forms a new curve.For example baseline calculates the requirement of day and gathers every 15 minutes and carry out once, then one It should produce 96 requirement values.There is baseline to calculate day D1, D2, D3.Then the requirement value of D1 user's requirement curve is respectively D1Wn (n=1~96), by that analogy, D2 and D3 requirement value are D2Wn and D3Wn.Then the requirement value of user's requirement baseline is (D1Wn + D2Wn+D3Wn)/3 (n=1~96).
10) baseline adjusts:Day difference is there may be because the external environment and baseline of event day calculate, it is therefore desirable to is introduced A kind of Regulation mechanism, this difference is made up as far as possible, make user's requirement baseline accurate.
11) factor is adjusted:In baseline adjustment, adjustment factor refers to the various outer strips that can be had an impact to baseline Part, such as temperature, air pressure, humidity, wind speed weather condition, or other be possible to influence baseline factor.Adjustment factor by with Specify at family.For example user may specify temperature and humidity as adjustment factor.
12) limitation of factor date is adjusted:For providing the period of validity of data used in adjustment factor, be from current date it Preceding a period of time scope.For example the date is limited to 1 year, then can only be participated in the data in before current date 1 year adjustment because The calculating of plain degree of conformity.
13) factor degree of conformity is adjusted:The whether close enough index of factor is adjusted between two dates for evaluating, its In, a date is the date belonged in the limitation of adjustment factor date, is defined as being searched day, another date is current day Phase, the Base day is defined as, if daily having K adjustment factor by day and benchmark is searched, then adjusts the calculation of factor degree of conformity It is as follows:Such as adjustment Factor is temperature and humidity, and event day, the temperature for being searched day was 37 DEG C, humidity when daily temperature is 37.2 DEG C, humidity 40% For 41%, nearly 39.2 DEG C of 10 years maximum temperatures, -7.1 DEG C of the lowest temperature, highest humidity 93%, minimum humidity 11%.With event day On the basis of day, then be adjusted factor degree of conformity for 1- (| (37-37.2)/(39.2-7.1) |+| (41-40)/93-11 |) ≈ 98.18%.The value is higher, then it represents that the adjustment factor between two dates is closer.
14) factor day is adjusted:There are two kinds adjustment factor day, respectively adjust and best suit thing in the range of the limitation of factor date Adjust some days of factor part day, and the baseline that best suits in the range of the limitation of adjustment factor date calculates some of day adjustment factor Day.Both dates need to meet within same period on working day, searched by system from historical data.The day on every kind of date Number is set by the user.When multiple periods on working day be present, then multigroup adjustment factor day need to be found from different times, and with total Higher one group of degree of conformity is used as adjustment factor day.
15) Dynamic gene:Dynamic gene is calculated by the requirement value of adjustment factor day.Concrete mode is:
Best suit the requirement of the adjustment factor day of event day/best suit the requirement that baseline calculates the adjustment factor day of day.
16) user's requirement baseline after adjusting:The curve obtained by user's requirement baseline * Dynamic genes.
17) requirement response events:The request for needing to carry out energy consumption reduction initiated by supply side, comprising event time, cuts Subtract total amount, maximum power dissipation, delivery rate index, be sent to Demand-side.
18) the requirement response events time:Need the period of progress energy consumption reduction, such as 14:00~16:00.
A kind of energy consumption for requirement response provided by the invention cuts down assessment algorithm and is divided into two things on flow is performed Business, energy consumption data acquisition respectively on ordinary days and pretreatment affairs, and the requirement response processing affairs of event day.
As shown in figure 1, the step of energy consumption data acquisition on ordinary days and pretreatment affairs, is:
Step 1, setting operational factor
Energy consumption data acquisition on ordinary days and pretreatment affairs need electricity consumption side user first according to system environments, the production and operation The external factor such as arrangement, set various system operational parameters, its step is:
Step 1-1 setting collection port parameters, include herein below:Port type, the specific acquisition parameter in port be not (according to Congener port, such as Ethernet, serial ports, have different configuration contents), acquisition interval.
Step 1-2 sets collecting device parameter, includes herein below:Want the device address of collecting device, want collecting device The middle data point for needing to gather.
Step 1-3 setting collection requirement number of responses strong point, includes herein below:Set based on the requirement value of requirement response The data point of calculation, setting belong to the data point of adjustment factor.
Step 1-4 sets demand baseline calculating parameter, includes herein below:Baseline calculates the number of days of day, regular working day Criterion scope, working day.
Step 1-5 sets the calculating parameter of Dynamic gene, includes herein below:The calculating time limit of Dynamic gene.
Step 1-6 setting requirement response supply side server parameters, include herein below:Mailing address, communication mode, visit Ask interval.
Step 2, the daily operation data of collection enterprise
Start to gather the data in daily operation after the completion of user configuration.In collection, step is as follows:
Step 2-1 records the value of the data, acquisition time.
Step 2-2 is by database in record storage to system, for subsequent algorithm.
Step 3, the requirement value for calculating each period
The acquisition interval set according to user, is divided into the different periods every workday, in some period Requirement calculation formula is as follows:
Requirement=(active power-current slot begins with work(power at the end of current slot) * is (between 60/ collection It is worth every minute).The requirement of each period is stored in system, for subsequent algorithm.
Step 4, electricity consumption side periodic access supply side, obtain requirement response events
User side periodically inquires supply side whether there is requirement response events according to interval is accessed.If any, then perform event day Requirement response processing affairs.The step can perform with step 2,3 orders, can also independently execute, recommend to independently execute.
Step 5, workaday period is set
When larger change occurs for production and operation situation, user should will divide period on working day, with work before Day distinguishes.The setting will be used for after weather Dynamic gene calculating.The step is not fixing step, is being needed by user Will when perform.
With reference to Fig. 2, the requirement response processing affairs of event day comprise the following steps:
Step 1, obtain requirement response events
When requirement response events occur, electricity consumption side obtains event requirements from supply side, includes following information:During event Between, requirement response require aggregate values DRtotal, maximum power dissipation DRins, delivery rate index.
Step 2, selection baseline calculate day
After determining the specific time of requirement response events.Baseline need to be first selected to calculate day.Carry out according to the following steps:
Step 2-1, several working days of event a few days ago are selected as candidate's baseline and calculate day;
Averagely obtained again respectively step 2-2, each candidate's baseline to be calculated to requirement value summation corresponding to all periods of day after Candidate's baseline calculates the average of the requirement value of day, judges whether each average meets sentencing for electricity consumption side regular working day set in advance Calibration is accurate, if incongruent candidate's baseline be present calculates day, into step 2-3, otherwise, into step 2-4;
Step 2-3, incongruent candidate's baseline is calculated into day, the working day before postponing calculates as new candidate's baseline Day, it is then back to step 2-2;
Step 2-4, candidate's baseline is calculated and day calculates day as baseline.
Step 3, calculate and adjust user's requirement baseline
Step 3-1, user's requirement baseline is calculated the requirement curve numerical value of day by baseline and carries out average value computing;
Step 3-2, adjustment factor degree of conformity highest is selected to be used as adjustment factor day in some days;
Step 3-3, Dynamic gene P is calculated;
Step 3-4, user's requirement baseline, the baseline value of i-th of period are adjustedDMijFor jth Individual baseline calculates the requirement value of i-th of period of day, and m is the total number that baseline calculates day.
Step 4, calculate energy consumption reduction index
Perform requirement to cut down, and calculated requirement value real time data is gathered in the period of requirement response events, Draw reduction result.
In formula, the total number for the period that n is included by event time, DEiFor the need for i-th of period being calculated in real time Value;
The DE of instantaneous power delivery rate=not less than DRinsiNumber/n.
Step 6, feedback energy consumption cut down result
The energy consumption that previous step is calculated is cut down into delivery rate and returns to supply side.
The present invention is further illustrated below in conjunction with specific data.If certain company performed once on May 20th, 2015 Requirement response events, process are as follows.
7.1 affairs 1- requirements data acquisitions and pretreatment affairs
7.1.1 operational factor is set
Wherein, acquisition interval is 15 minutes, other collection port parameters, collecting device parameter, requirement response supply side clothes Relation is smaller in itself with method for device parameter of being engaged in, and process is omitted.
Data point capture setting is as follows:Active power, active energy, temperature.Wherein active power is to need magnitude calculation Data point, temperature are adjustment factor data point, and active energy uses for calculating energy consumption instantaneous value.
Baseline calculating parameter sets as follows:Baseline calculates number of days 5 days, and regular working day criterion scope is 50%~ 120%, working day is arranged according to national holiday situation.
The calculating parameter of Dynamic gene sets as follows:It is limited in the calculating year of Dynamic gene 1 year, i.e. on May 20th, 2014 is extremely During 19 days Mays in 2015.
Period on working day sets as follows with company's situation:On July 17,20 days to 2014 May in 2014 is a period, On May 19,18 days to 2015 July in 2014 is another period.
7.1.2 gather, calculate, event
After operational factor is provided with, bring into operation.
Operating procedure is divided into two processes according to describing before.One is collection process, is responsible for the daily operation number of collection According to, and calculated and stored;Another is responsible for periodically accessing supply side server, obtains requirement response events.
After requirement response events are obtained, then start affairs 2- requirement response events affairs.
7.2 affairs 2- requirement response events affairs
7.2.1 obtain requirement response events
User obtains requirement response events from supply side, and event day is on May 20th, 2015, the period 12:00~14: 00, reduction total amount is 10KW, and maximum demand 2KW, it is 90% that requirement, which cuts down aggregate values delivery rate index, maximum demand delivery rate Index is 95%.Event 37 DEG C of temperature at that time.
7.2.2 baseline is selected to calculate day
If event a few days ago 6 working day (5/12,5/13,5/14,5/15,5/18,5/19) day requirements be respectively 100KW, 101KW、102KW、98KW、30KW、99KW.Then the day requirement of 5/18 day can not meet regular working day criterion 50%~ 120%, then reject 5/18, increase by 5/12.Then standard is all met within 5 days.Then baseline, which calculates, determines day.
7.2.3 user's requirement baseline is calculated
Dynamic gene is calculated first, and the side user energy consumption of upper 1 year calculates according to demand.
If the temperature averages that baseline calculates day are 35 DEG C.Adjustment factor day is then selected according to 35 DEG C and 37 DEG C progress.By It is in two periods on working day being present, then interim at two working days to search respectively, finally obtain larger two days of total degree of conformity As adjustment factor day.For example 34.5 degree of June 11 day in 2014 and 36.3 degree of June 20 day in 2014 are one group, in August, 2014 35.2 degree and 36.9 degree of August 17 day in 2014 were one group on 13.Then obvious later group is more closely, it is adjustment factor to take later group Day.If Dynamic gene is P, then
The everyday everyday requirement of requirement/2014 year August 13 of P=2014 Augusts 17.
Set, 15 minutes periods, calculated by user.Each period calculates the baseline value of the period and is named as DMi。
Wherein i represents the intraday period, from 0:00 beginning i=1 starts sequentially.J represents baseline day, j number Amount scope is arranged to 5 by user.
Then period i baseline value:
7.2.4 calculate energy consumption and cut down index
Set by user, 15 minutes periods, carry out data acquisition.
In formula, the total number for the period that n is included by event time, DEiFor the need for i-th of period being calculated in real time Value;
The DE of instantaneous power delivery rate=not less than DRinsiPeriods of the number/n wherein in i expressions event, when n is represented Between section sum.
7.2.5 feed back energy consumption and cut down result
The energy consumption that previous step is calculated is cut down into result and returns to supply side.

Claims (4)

1. a kind of energy consumption for requirement response cuts down assessment algorithm, it is characterised in that is included in and carries out energy to electricity consumption side on ordinary days After consumption data acquisition and electricity consumption side receive the requirement response events of supply side, requirement response events affairs are performed, wherein, on ordinary days Energy consumption data acquisition is carried out to electricity consumption side to comprise the following steps:
User side is according to every workday each period that acquisition interval set in advance is calculated in daily operation in real time Requirement value, and be stored in database, wherein, the every workday is divided into multiple periods according to acquisition interval, some when Requirement value=(active power-current slot begins with work(power at the end of current slot) * (60/ acquisition intervals of section Minute value), and data and acquisition time corresponding with the data are stored in database;
After electricity consumption side receives the requirement response events of supply side, perform requirement response events affairs and comprise the following steps:
Step 1, electricity consumption side obtain the requirement of requirement response events from supply side, including at least following information:Event time, requirement are rung Aggregate values DRtotal and maximum power dissipation DRins should be required;
Step 2, using event several working days a few days ago as baseline day is calculated, wherein, event day responds thing for requirement occurs The date of part;
Step 3, the average that each baseline calculates the requirement of day same time period is calculated respectively, using the average of the requirement as baseline Value, obtains baseline value corresponding with each period, so as to form user's requirement baseline, wherein, the baseline value of i-th of period is DMi
Step 4, energy consumption reduction index is calculated, the energy consumption cuts down index and comprises at least energy consumption reduction aggregate values delivery rate and moment work( Rate delivery rate, wherein:
In formula, the total number for the period that n is included by event time, DEiFor the need for i-th of period being calculated in real time Value;
The DE of instantaneous power delivery rate=not less than DRinsiNumber/n;
Step 5, energy consumption is cut down to index passback.
2. a kind of energy consumption for requirement response as claimed in claim 1 cuts down assessment algorithm, it is characterised in that in the step In rapid 2, the system of selection that baseline calculates day comprises the following steps:
Step 2-1, several working days of event a few days ago are selected as candidate's baseline and calculate day;
Each candidate is averagely obtained again step 2-2, each candidate's baseline to be calculated to requirement value summation corresponding to all periods of day after Baseline calculates the average of the requirement value of day, judges whether each average meets the judgement mark of electricity consumption side regular working day set in advance Standard, if incongruent candidate's baseline be present calculates day, into step 2-3, otherwise, into step 2-4;
Step 2-3, incongruent candidate's baseline is calculated and rejected day, the working day before postponing calculates as new candidate's baseline Day, it is then back to step 2-2;
Step 2-4, candidate's baseline is calculated and day calculates day as baseline.
3. a kind of energy consumption for requirement response as claimed in claim 1 cuts down assessment algorithm, it is characterised in that in the step In rapid 3, baseline value is adjusted using Dynamic gene P, then the baseline value of i-th of period DMijThe requirement value of i-th of period of day is calculated for j-th of baseline, m is the total number that baseline calculates day.
4. a kind of energy consumption for requirement response as claimed in claim 3 cuts down assessment algorithm, it is characterised in that the adjustment Factor P is:
With the adjustment factor degree of conformity highest of event day adjust the average of the requirement of factor day/with baseline calculate the adjustment of day because The average of the requirement of plain average degree of conformity highest adjustment factor day, wherein:
Provided with K adjustment factor, K >=1, and day on the basis of event day and baseline calculating day is set, then has K benchmark adjustment factor, Then the workaday adjustment factor of each history and Base day are calculated respectively in the range of adjustment factor date set in advance limitation Adjustment factor or adjust factor average degree of conformity, it is adjustment factor day to take degree of conformity highest history working day, by l-th History working day is defined as l-th and is searched day, then l-th of the adjustment factor and the adjustment factor or tune of Base day for being searched day The degree of conformity of whole factor average is:
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