CN106815684A - The method of the ordered electric that becomes more meticulous management - Google Patents
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Abstract
The invention belongs to dispatching of power netwoks field, it is related to ordered electric, more particularly to a kind of method of the ordered electric management that becomes more meticulous.Including following effective procedure:A, data acquisition；B, data screening；C, data processing；D, structure load curve cluster；E, structure need ordered electric user's System of Comprehensive Evaluation；F, structure ordered electric decision model；G, one week interior management of power use scheme of preparation.Compared with prior art, advantages and positive effects of the present invention are, the present invention is by providing a kind of method that ordered electric that becomes more meticulous is managed, change the heavier ordered electric management of traditional administration color, with reference to electric company's interests and electricity consumption side interests, the method for providing the present invention is accurate to the power mode of each user, solves traditional blindness management of power use, further improve system loading rate, strengthen power network peak load safety in operation and stability.
Description
Technical field
The invention belongs to dispatching of power netwoks field, it is related to ordered electric, more particularly to a kind of ordered electric management that becomes more meticulous
Method.
Background technology
With China's rapid development of economy, electricity needs continues embryo and contains so that some areas power supply and demand anxiety problem
Periodically occur.Although time-of-use tariffs policy can to a certain degree alleviate peak time shortage of electric power, due to user's dispersion
Decision-making and the uncertainty from main response, ordered electric will be used as the Main Means of peak load shifting in following a period of time.
The ordered electric work method promulgated at present only provides operating process, and regulation is not made to implementation detail.Therefore
In implementation process, some areas execution is more extensive, and the degree that becomes more meticulous is not high.The problem of presence mainly has：1) China uses in order
Administrative color is heavier in electricity work, and active role of the user in ordered electric work be not obvious, also in passive participant status；
2) user's investigation of ordered electric work is not carried out well, user power utilization feature, load characteristic to participating in ordered electric
Tracking is not in time；3) ordered electric work publicity is not in place, and current many users do not know and daily keep away peak, promptly keep away the general of peak
Read and job requirement, simply performed in accordance with the dispatch of economic and commercial committee；4) information system support is not in place.Customer charge management system
Imperfection is gone back in construction, and certain customers can't detect position.
The appearance of problem above, proposes requirement higher so that following research emphasis tend to ordered electric work
In the development that becomes more meticulous of ordered electric work.
The content of the invention
The present invention is directed to above-mentioned above-mentioned technical problem, proposes that a kind of reasonable in design, method is simple and can be according to difference
User's feature implement become more meticulous the management of power use become more meticulous ordered electric management method.
In order to achieve the above object, the technical solution adopted by the present invention is, the present invention provides one kind and becomes more meticulous ordered electric
The method of management, including following effective procedure：
A, data acquisition：Acquisition needs the history power information and user's self information of ordered electric user, and numbers；
B, data screening：According to the history power information of the user for obtaining, the information beneficial to dsm is filtered out；
C, data processing：The advantageous information that obtains will be screened to plug a gap value simultaneously rejecting abnormalities point；
D, structure load curve cluster：Load curve cluster is carried out to the data after treatment by clustering algorithm, is used
The typical daily load form in family, atypia daily load form and abnormal load form；
E, structure need ordered electric user's System of Comprehensive Evaluation：The user of ordered electric user uses as needed
Electricity, user credit and user's potentiality three aspect factor build needs ordered electric user's System of Comprehensive Evaluation, and obtains
The electricity consumption value coefficient of user；
F, structure ordered electric decision model：The target function type of decision model is：
Wherein, N is the sum for participating in ordered electric, and n is the numbering for participating in ordered electric user, ζn,hTo participate in using in order
Electricity numbering is that the large user of n causes the sale of electricity beneficial change of Utilities Electric Co., θ due to load transfer in h periods prediction scheme dayn,h
To participate in the economic compensation that the user that ordered electric numbering is n should obtain in prediction scheme day h periods peak clipping, λ is the use of user n
Electricity price value coefficient, ψtrans、ψshift、ψclipRespectively the period avoid the peak hour, peak load shifting, the control cost of keeping away peak, λ 1 is that load is standby
Rate penalty factor, pplandayIt is expected load percentage reserve penalty of this area's power network in prediction scheme day, p after ordered electricweekend
It is expected load percentage reserve penalty of this area's power network at weekend, μ after ordered electricsubsOverloaded for transformer station and punished
；
G, one week interior management of power use scheme of preparation：Ordered electric scheme in regional one week is prepared according to ordered electric model.
Preferably, in the step a, by existing power network metering automation system, electric energy data center and
SACDA obtains the history power consumption information and main distribution real time data of ordered electric user；Obtained by Electric Power Marketing System
Electricity price information；Itself relevant information of user, the user itself relevant information protection user are obtained by marketing data center
Scale, the industry, credit grade information.
Preferably, in the step b, the beneficial information of the dsm includes the actual daily load operation number of user
According to, transformer station and user's belonging relation.
Preferably, in the step d, the data after treatment being carried out with load curve by K-means clustering algorithms and being gathered
Class.
Compared with prior art, advantages and positive effects of the present invention are,
1st, the present invention is by providing a kind of method that ordered electric that becomes more meticulous is managed, and changes that traditional administration color is heavier has
The sequence management of power use, with reference to electric company's interests and electricity consumption side interests, makes the method for present invention offer be accurate to each user's
Power mode, solves traditional blindness management of power use, further improve system loading rate, enhancing power network peak load safety in operation with
Stability.
Specific embodiment
In order to be more clearly understood that the above objects, features and advantages of the present invention, with reference to embodiment to this hair
It is bright to be described further.It should be noted that in the case where not conflicting, the feature in embodiments herein and embodiment can
To be mutually combined.
Many details are elaborated in the following description in order to fully understand the present invention, but, the present invention may be used also
To be implemented using other modes described here are different from, therefore, the present invention is not limited to the specific of specification described below
The limitation of embodiment.
Embodiment 1, the present embodiment provides a kind of method of the ordered electric management that becomes more meticulous
Under the situation of power tense, strengthen demand Side Management, carry out ordered electric work, can be greatly decreased and operate a switch
Ration the power supply number of times, strive accomplishing to ration the power supply without drawing road, this largely reduces influence of the short of electricity to socio-economic development, base
In this, a kind of method of the ordered electric management that becomes more meticulous is present embodiments provided.
Ordered electric management will do essence too busy to get away substantial amounts of data of running business into particular one and support, with the quick hair of China's intelligent grid
Exhibition, this is provided and its convenience to the present embodiment on data are obtained, first by existing metering automation system, electricity
Energy datum center, SACDA (data acquisition and supervisor control) acquisitions need to carry out the history electric energy of orderly management user
Amount data and master, distribution real time data, herein it should be noted that the ordered electric management that becomes more meticulous is directed to enterprise and big
Scale electricity consumer and design, do not designed for house and commercial power, thus also just have the orderly management of power use user of needs this
One saying, the self information of enterprise is obtained by Electric Power Marketing System and marketing data center, this comprising stoichiometric point, transformer and
Some information that scale, the industry, credit grade information, tax revenue of relation, user between client etc. are linked up with enterprise,
Certainly acquisition of information here needs certain support of government department, according to these information for obtaining, then, filters out to needing
Seek the information of the actual daily load service data of the advantageous information of side management, i.e. user, transformer station and relation shown in user, and by institute
The information of acquisition is numbered according to user, and then, the data to filtering out are pre-processed, it is main include plugging a gap value and
Rejecting abnormalities point.
This needs exist for explanation, and because acquired information is from different systems, these systems may be to these
The form of data has different requirements, therefore, it is necessary to first data are carried out with one tentatively during data acquisition is arranged
Arrangement, it is ensured that the accuracy of data form.
Value of plugging a gap mainly pass through reduced data it is possible that sub-load data value continuously be 0 or NON,
Illustrate that there is a certain amount of vacancy value, the method that the present embodiment is used is linear fit filling, even a-th data value is Xa,
N-1 value of middle vacancy, the a+n data value is Xa+n.N-1 numerical value of vacancy is filled with the middle of now：
Rejecting abnormalities data use manual identified mode, the daily load data to user to detect, find out data exception
Other dates of the user are put and contrasted with period load level, it is determined whether belong to abnormal data.
Then, load curve cluster is carried out to the data after treatment by K-means clustering algorithms, obtains user's typical case's day
Load form, atypia daily load form and abnormal load form.
K-means clustering algorithms are one of more classical clustering algorithms in division methods, therefore in the present embodiment, are only told about
General process, no longer describes detailed calculating process.
Due to the efficiency high of K-means clustering algorithms, so being widely used when being clustered to large-scale data.K-
N object is divided into k cluster by means clustering algorithms with k as parameter, makes have similarity higher in cluster, and similar between cluster
Degree is relatively low.
Specifically, any selection k is individual as initial cluster center first from n data object；And for remaining
Other objects, then according to they with these cluster in must similarity (distance), assign these to respectively most like with it
(must be representative in cluster) cluster；Then calculating again in the cluster that each obtains new cluster must (all object in the cluster
Average)；This process is constantly repeated untill canonical measure function starts convergence, you can obtain user's typical case's daily load shape
State, atypia daily load form and abnormal load form.
Because the social value that different users produces is also different, therefore, during orderly user management, should be comprehensive
Consider that electricity consumption proportion, the industrial structure, multinomial performance assessment criteria such as average load index, energy-conservation examination ranking index and unit power consumption refer to
The influence of mark etc. and policy of using electricity in off-peak hours, and then orderly power program is finely worked out, customer electricity calendar is formed, guiding is implemented
Ordered electric scheme is implemented.
In the present embodiment, in order to achieve the above object, introducing electricity consumption the value coefficient λ, λ of user will determine preferential use
The priority of electricity, in order to obtain λ, in the present embodiment, structure needs ordered electric user's System of Comprehensive Evaluation, specifically
Say, the user power utilization of ordered electric user, user credit and user's potentiality three aspect factor build as needed needs in order
Electricity consumption user's System of Comprehensive Evaluation, and obtain the electricity consumption value coefficient of user.
More specifically, can be set from output value power consumption, unit power consumption tax revenue, electricity charge earning rate, purchase of electricity ratio, economize on electricity
Standby ratio, promise breaking electricity consumption behavior, current period actual payment rate, accumulative payment rate, ordered electric fitness, CSAT, power purchase
Amount growth rate, energy-saving device proportionate growth rate, Network Loss Rate, typical load form similarity, insulation load proportion, network voltage point
The factors such as cloth positive-effect, customer's willingness level formulate corresponding ordered electric user System of Comprehensive Evaluation, certainly, this
Index system can be deleted according to actual conditions, and in the present embodiment, the computing formula of electricity consumption value coefficient is：
Electricity consumption value coefficient=index system items score sum is divided by index system items total score sum
Specifically when score is formulated, different areas can be configured according to different situations, it is also possible to substitute into ring
The factor such as border factor and employment volume is calculated, to obtain electricity consumption value coefficient.
Ordered electric conventional load management means can be divided into two classes from its action time yardstick, and a class is the wheel of week scheduling
Not avoid the peak hour means, it is another kind of be say scheduling period avoid the peak hour peak load shifting with keep away peak means.The primary and foremost purpose of ordered electric is to disappear
Receive electric power breach, meeting the ordered electric scheme of this requirement often there are many kinds, and different schemes are transported to user satisfaction, power network
Row security and economy have Different Effects.Multiobiective decision optimum is carried out by coordinating load management means, it will help
Formulate the ordered electric scheme for having more fairness and science.
The principle of load management means coordinated scheduling is：
1st, to ensure user's normal electricity consumption as far as possible, user's electric quantity loss is reduced, should preferentially calls and do not reduce user always to use
The class means of avoiding the peak hour of electricity, take second place bring electric quantity loss keep away peak means.
2nd, to change user power utilization custom as few as possible, should preferentially call influences on user's normal life and mode of operation
Less means.Between means of the same race, the period few mode of hourage of avoiding the peak hour preferentially is called, and peak load shifting operation difficulty is small, transfer
The few mode of electricity is preferentially called, and the few mode of number of days of avoiding the peak hour of having holidays by turns preferentially is called, and is kept away the few mode of peak electricity and is preferentially called.
3rd, to realize distributing rationally for limited power resource, the corresponding hand of electricity consumption value assessment poor user should preferentially be called
Section.
4th, to reduce peak period stand-by requirement, safe operation of electric network and stability are improved, should preferentially calls and be conducive to
Equalize the means of Peak power use load.
5th, it is to reduce electric load peak-valley difference, improves operation of power networks efficiency, should preferentially calls to be conducive to improving on the whole and be
The means of rate of load condensate of uniting.
In order to achieve the above object, the object function of the ordered electric decision model that the present embodiment builds is：
Wherein, N is the sum for participating in ordered electric, and n is the numbering for participating in ordered electric user, ζn,hTo participate in using in order
Electricity numbering is that the large user of n causes the sale of electricity beneficial change of Utilities Electric Co., θ due to load transfer in h periods prediction scheme dayn,h
To participate in the economic compensation that the user that ordered electric numbering is n should obtain in prediction scheme day h periods peak clipping, λ is the use of user n
Electricity price value coefficient, ψtrans、ψshift、ψclipRespectively the period avoid the peak hour, peak load shifting, the control cost of keeping away peak, λ 1 is that load is standby
Rate penalty factor, pplandayIt is expected load percentage reserve penalty of this area's power network in prediction scheme day, p after ordered electricweekend
It is expected load percentage reserve penalty of this area's power network at weekend, μ after ordered electricsubsOverloaded for transformer station and punished
.
By K-means clustering algorithms, obtain numbering be n user's prediction scheme daily load curve, its matrix form is expressed as：
Customer charge transformation matrices can be obtained：
It is electric for company is certain in period reduction using that will cause according to the electricity that each user is reduced in peak period
Sale of electricity income, being used in the increased electricity of low-valley interval will cause Utilities Electric Co. in the certain sale of electricity income of period increase, enter
And obtain ζn,h：
Wherein,For the user that numbering is n participates in load variations value of the ordered electric in the h periods；For numbering is n
User the h periods due to load reduce cause the decrement of electric company's sale of electricity income；For the user that numbering is n exists
The h periods cause the incrementss of electric company's sale of electricity income due to load increase；Mn,hTo number the user for being n in the h periods
Tou power price, tou power price determines according to different regional arrangements.
With the gradual perfection of electricity market, Utilities Electric Co.'s reply participates in ordered electric and shows excellent user and give to close
The economic compensation of reason, usually gives User Part electricity price discount, Interrupted load management etc. is put into effect, in the present embodiment, with user
Penalty coefficient of the 20% of electric degree electricity price as the user per kilowatt hour load reduction.Therefore：
X is compensation system in formula, and this penalty coefficient can be arranged according to specific electric company, and Mn is for numbering
The electric degree electricity price of the large user of n,For the user that numbering is n participates in load variations value of the ordered electric in the h periods.
In formula, hmaxFor the period avoids the peak hour maximum hourage；utransIt is 0-1 variables, takes and represent that the period avoids the peak hour h hours, h is for just
Represent that the work hours shift to an earlier date；ξtransFor the period avoids the peak hour control cost coefficient, at this it should be noted that the period avoids the peak hour control cost
Coefficient is needed according to different regions, and different enterprises are specifically set.
In formula, Smax is peak load shifting stepping number；ushiftIt is 0-1 variables, takes 1 expression and participate in β grades of peak load shifting；When Nt is
Hop count；ΔpshiftCorrection when () is each β grades of peak load shifting t, because of the translation that Fill valley load is shifting peak load, correspondence correction width
The identical and symbol of value conversely, thereforeIt is actual move peak amount 2 times；ζshiftIt is peak load shifting shelves control cost coefficient,
At this it should be noted that peak load shifting shelves control cost coefficient is needed according to different regions, different enterprises are specifically set.
In formula, ξclipTo keep away peak control cost coefficient；Cn.kTo keep away peak series；ΔPclipT () is the single-stage for keeping away peak day part
Correction.Needed according to different regions it should be noted that keeping away peak control cost coefficient at this, different enterprises are specifically set.
λ 1 is load percentage reserve penalty factor, when calculating, may be adjusted according to the data for obtaining in real time.
In formula, Pplandy,hIt is the predicted load of prediction scheme day h periods, PmaxIt is this area's net capability, similarly,
P can be obtainedweekendValue.
Because transformer station's maximum capacity is limited, need to ensure the load of each transformer station no more than it before and after ordered electric
Maximum capacity is limited.Whole transformer stations are numbered herein be 1~I, then the wherein i-th load breach matrix P of transformer stationi gap
For:
In formula, PiI-th total active load of transformer station after being performed for ordered electric scheme；Pi MaxFor the i-th transformer station most
Big active capacity.The total load breach matrix of whole transformer stations is：
Penalty term μ is overloaded into transformer stationsubsIt is defined as：
The meaning of transformer station's overload penalty term is different from spare capacity penalty term.Transformer station's overload penalty term need not be by punishing
The setting of penalty factor adjusts the size of penalty term numerical value, and only considers when there are overload situations, and the penalty term directly tends to
It is infinite, the strict appearance for limiting transformer station's overload situations is come with this.In actual applications, may allow in transformer station's short time
Overload.
By the object function of ordered electric decision model, using application GAs Toolbox in MATLAB and self-editing work
Tool bag realizes the idiographic flow of objectives function.
Cannot be made up due to keeping away peak means loss electricity, therefore it calls priority minimum, its excess-three kind means,
From on user power utilization custom influence angle analysis, it is however generally that, influence minimum is to avoid the peak hour the period, and the shifting peak that takes second place is filled out
Paddy, maximum is to have holidays by turns to avoid the peak hour.In sum, the order of calling substantially of four kinds of load management means is：Period avoids the peak hour, move peak fills out
Paddy, have holidays by turns and avoid the peak hour, keep away peak, then, corresponding ordered electric scheme is prepared according to this principle.
The above, is only presently preferred embodiments of the present invention, is not the limitation for making other forms to the present invention, is appointed
What those skilled in the art changed possibly also with the technology contents of the disclosure above or be modified as equivalent variations etc.
Effect embodiment is applied to other fields, but every without departing from technical solution of the present invention content, according to technical spirit of the invention
Any simple modification, equivalent variations and the remodeling made to above example, still fall within the protection domain of technical solution of the present invention.
Claims (4)
1. a kind of method that ordered electric that becomes more meticulous is managed, it is characterised in that including following effective procedure：
A, data acquisition：Acquisition needs the history power information and user's self information of ordered electric user, and numbers；
B, data screening：According to the history power information of the user for obtaining, the information beneficial to dsm is filtered out；
C, data processing：The advantageous information that obtains will be screened to plug a gap value simultaneously rejecting abnormalities point；
D, structure load curve cluster：Load curve cluster is carried out to the data after treatment by clustering algorithm, user's allusion quotation is obtained
Type daily load form, atypia daily load form and abnormal load form；
E, structure need ordered electric user's System of Comprehensive Evaluation：As needed the user power utilization of ordered electric user, use
Family credit and user's potentiality three aspect factor build and need ordered electric user's System of Comprehensive Evaluation, and obtain user's
Electricity consumption value coefficient；
F, structure ordered electric decision model：The target function type of decision model is：
Wherein, N is the sum for participating in ordered electric, and n is the numbering for participating in ordered electric user, ζn,hCompiled to participate in ordered electric
Number cause the sale of electricity beneficial change of Utilities Electric Co., θ due to load transfer in prediction scheme day h periods for the large user of nn,hFor
The economic compensation that the user that ordered electric numbering is n should obtain in prediction scheme day h periods peak clipping is participated in, λ uses electricity price for user n's
Value coefficient, ψtrans、ψshift、ψclipRespectively the period avoid the peak hour, peak load shifting, the control cost of keeping away peak, λ 1 punishes for load percentage reserve
Penalty factor, pplandayIt is expected load percentage reserve penalty of this area's power network in prediction scheme day, p after ordered electricweekendFor
Expected load percentage reserve penalty of this area's power network at weekend, μ after ordered electricsubsFor penalty term is overloaded in transformer station；
G, one week interior management of power use scheme of preparation：Ordered electric scheme in regional one week is prepared according to ordered electric model.
2. the method that the ordered electric that becomes more meticulous according to claim 1 is managed, it is characterised in that in the step a, pass through
Existing power network metering automation system, electric energy data center and SACDA obtain the history power consumption of ordered electric user
Information and main distribution real time data；Electricity price information is obtained by Electric Power Marketing System；User is obtained by marketing data center
Itself relevant information, the user itself relevant information protects scale, the industry, the credit grade information of user.
3. the method that the ordered electric that becomes more meticulous according to claim 1 is managed, it is characterised in that described in the step b
The beneficial information of dsm includes the actual daily load service data of user, transformer station and user's belonging relation.
4. the method that the ordered electric that becomes more meticulous according to claim 1 is managed, it is characterised in that in the step d, pass through
K-means clustering algorithms carry out load curve cluster to the data after treatment.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN107872068A (en) * | 2017-09-29 | 2018-04-03 | 国网上海市电力公司 | A kind of grid type microgrid joint energy management and control method based on internet |
| CN108288116A (en) * | 2018-04-19 | 2018-07-17 | 清华大学 | Storing up electricity prediction technique, system and computer equipment, storage medium |
| CN110705879A (en) * | 2019-09-30 | 2020-01-17 | 国网山东省电力公司滨州供电公司 | Power grid vulnerability assessment method under high-proportion renewable energy access |
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| CN113158566A (en) * | 2021-04-21 | 2021-07-23 | 内蒙古电力（集团）有限责任公司乌兰察布电业局 | User ordered electricity utilization control method, system and medium based on demand side |
| CN113158566B (en) * | 2021-04-21 | 2023-08-15 | 内蒙古电力(集团)有限责任公司乌兰察布供电分公司 | User ordered power utilization control method, system and medium based on demand side |
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| CN114519501A (en) * | 2022-01-13 | 2022-05-20 | 上海迈能创豪能源科技有限公司 | Orderly power utilization management system based on power gap and supply and demand balance |
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