CN109726861A - A kind of optimization method and system of electric power application data - Google Patents
A kind of optimization method and system of electric power application data Download PDFInfo
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Abstract
The invention discloses the optimization methods and system of a kind of electric power application data, which comprises step A, electricity consumption user issue purchasing demand to platform；Step B screens electric energy product according to the purchasing demand, rejects ineligible electric energy product；Step C calculates multiple purchase scheme combinations, electricity consumption user selection is sent to after the combination of the multiple purchase scheme is ranked up according to the different bid modes of the electric energy product filtered out；Step D, electricity consumption user buys electric energy according to selected purchase scheme；Step E, energy supply root buys situation according to user and carries out power transmission.The above-mentioned internet platform electricity transaction that is based on provided by the present invention quantifies to select and purchase optimization method and system, and user can be helped to select suitable electrical supplier.
Description
Technical field
The present invention relates to energy field more particularly to a kind of optimization methods and system of electric power application data.
Background technique
Along with the fast development of power system reform and internet industry, based on internet platform carry out electricity transaction at
For future developing trend.
However electricity transaction is extremely complex, electricity power enterprise and sale of electricity company can be according to itself and a variety of reports of user situation progress
Valence discriminates against price etc. such as timesharing valence, and the price that each electrical supplier is formulated quickly changes with the time.In face of numerous
How price, within a certain period of time, user select suitable electrical supplier, are directly related to the vital interests of user, become urgent need
It solves the problems, such as.
Summary of the invention
It is selected and purchased in view of this, the present invention provides electricity transaction quantization under a kind of a variety of quotation states based on internet platform
Optimization method and system, to help electricity consumption user that suitable electrical supplier and power purchase scheme, the electricity consumption of using electricity wisely user is selected to adopt
Purchase cost.
In a first aspect, the present invention provides a kind of, optimization method is selected and purchased in the electricity transaction quantization based on internet platform, is wrapped
It includes:
Step A, electricity consumption user issue purchasing demand to platform；
Step B screens electric energy product according to the purchasing demand, rejects ineligible electric energy product；
Step C calculates multiple purchase scheme combinations, by institute according to the different bid modes of the electric energy product filtered out
It states after multiple purchase scheme combinations are ranked up and is sent to electricity consumption user selection；
Step D, electricity consumption user buys electric energy according to selected purchase scheme；
Step E, energy supply root buys situation according to user and carries out power transmission.
The above-mentioned internet platform electricity transaction that is based on provided by the present invention quantifies to select and purchase optimization system, can help user
Select suitable electrical supplier.
Preferably,
The purchasing demand includes electricity consumption time, place, electricity consumption, power quality.
Preferably,
The purchasing demand further includes alternative parameter, including electrical supplier man credit worthiness, power supply enterprise's type, power supply enterprise's rule
Mould, power supply line.
Preferably,
The purchasing demand is ambiguity demand or deterministic demand.
Preferably,
Then electrical supplier is screened in the following way: set user j purchase electrical supplier i provide commodity purchase volume as
xi,
And
And xi≥0；If xi=0, then reject the energy supply product；
Wherein,For during t electrical supplier i be capable of supply that the supply upper limit of user j,For during t
User j can buy the purchase volume upper limit of electrical supplier i,For during t electrical supplier i be capable of supply that the supply of user j
Lower limit,For during t user j can buy the purchase volume lower limit of electrical supplier i；To power during t
Physical couplings between quotient i and user j；It is closed for contract during t between electrical supplier i and user j
System.
Preferably,
It is described to calculate the combination of multiple purchase schemes and include:
The first step imports the discrimination price that electrical supplier is directed to different user；
Second step calculates the valence that arrives at a station that different electrical suppliers are directed to the user；
Third step inquires the electricity consumption time of user, if there is several electrical supplier timesharing quotation in the electricity consumption time,
The number N for determining the demand period across whole electrical suppliers, is divided into N number of isochronous surface for the electricity consumption time；
4th step, optimizes and is sorted in isochronous surface.
Preferably,
It is described to be optimized in isochronous surface, comprising:
4.1, optimization object function is defined
Wherein fi(x) index being concerned about for user, ωiFor weight coefficient, n is index number；
fiIt (x) include: price factor f1(x), promptness rate factor f2(x), quality factor f3(x), in which:
Wherein PiFor the unit price that arrives at a station of electrical supplier i power supply, m is electrical supplier number；
Wherein QiFor the power supply promptness rate of electrical supplier i；
Wherein RiFor the power quality of electrical supplier i；
4.2, constraint condition is arranged, comprising:
(1) inequality constraints condition is set
Ax < b,
WhereinFor each electrical supplier i the period most
Big supply；
(2) equality constraint is set:
Aeqx=beq,
Wherein, [1 11 1] Aeq=, beq=[numu], numu are the electrical energy demands amount of user；
4.3, variable bound is arranged, comprising:
4.4, fuzziness calculates
Define the ambiguity function being individually sliced:
Wherein, n is the number of parameters that user is concerned about, Δ gj(x) indicate each
The fuzziness of a parameter, ωiFor the corresponding weight of parameters, the parameter that the user is concerned about includes:
For time deviation fuzziness；
For electricity consumption deviation fuzziness；
For power quality deviation fuzziness；
Then total ambiguity function are as follows:
Preferably,
The sequence includes being ranked up according to target value or being ranked up according to fuzziness.
Second aspect, the present invention also provides a kind of, and optimization system is selected and purchased in the electricity transaction quantization based on internet platform,
Include:
Requirement unit issues purchasing demand to platform for electricity consumption user；
Screening unit rejects ineligible electric energy for screening according to the purchasing demand to electric energy product
Product；
Computing unit calculates multiple purchase scheme groups for the different bid modes according to the electric energy product filtered out
It closes, electricity consumption user selection is sent to after the combination of the multiple purchase scheme is ranked up；
Electric energy buys unit, buys electric energy according to selected purchase scheme for electricity consumption user；
Electric power transfer unit 105, for notifying energy supply root buys situation according to user to carry out power transmission；
In conclusion a kind of internet platform electricity transaction that is based on provided by the invention quantifies to select and purchase optimization method and be
System can help user to select suitable electrical supplier, can farthest ensure the economic interests of electricity consumption user.
Detailed description of the invention
It in order to illustrate the embodiments of the present invention more clearly or existing technical solution, below will be to embodiment or the prior art
Attached drawing needed in description is briefly described, it should be apparent that, the accompanying drawings in the following description is only in the present invention
The some embodiments recorded without any creative labor, may be used also for those of ordinary skill in the art
To obtain other drawings based on these drawings.
Fig. 1 is the optimization method flow chart for the electric power application data that one embodiment of the invention provides；
Fig. 2 is the optimization computing module implementation steps flow chart that one embodiment of the invention provides；
Fig. 3 is that the optimal index that one embodiment of the invention provides calculates implementation steps flow chart；
Fig. 4 is the optimization system structure chart for the electric power application data that one embodiment of the invention provides；
Fig. 5 is the structural schematic diagram for the electronic equipment that one embodiment of the invention provides.
Specific embodiment
To make the object, technical solutions and advantages of the present invention clearer, below in conjunction with specific embodiment and accordingly
Technical solution of the present invention is clearly and completely described in attached drawing.Obviously, described embodiment is only a part of the invention
Embodiment, instead of all the embodiments.Based on the embodiments of the present invention, those of ordinary skill in the art are not making wound
Every other embodiment obtained under the premise of the property made labour, shall fall within the protection scope of the present invention.
The present invention provides a kind of optimization method of electric power application data, and user can be helped to select suitable electrical supplier.
Optimization method is selected and purchased based on the quantization of internet platform electricity transaction to of the invention with reference to the accompanying drawings and examples
It is further described with system.
It as described in Figure 1, is that optimization method is selected and purchased in a kind of electricity transaction quantization based on internet platform provided by the present application,
The method includes the steps:
Step A, user issue purchasing demand to platform.
Wherein, purchasing demand optionally includes the electricity consumption time of this estimated purchase, place, electricity consumption, electric energy matter
The parameters such as amount.Also, user can set alternative parameter when issuing purchasing demand, wherein alternative parameter includes power supply businessman
Credit worthiness, power supply enterprise's type, power supply enterprise's scale etc..
Meanwhile it is deterministic demand or Fuzzy Demand that user, which can choose issued purchasing demand,；If user wants
It asks as deterministic demand, the electric power that electrical supplier provides must require to exactly match with user；If user requires to be that ambiguity needs
It asks, the electric power that electrical supplier provides can match in a certain range with the parameter that user requires, wherein Fuzzy Demand includes
The temporally variable range of electricity consumption, electricity consumption variable range, power quality range etc..Wherein, user can select for different parameters
Select its feature for determining or obscuring.
In addition, user can also specify the businessman to be excluded, specified power supply line etc. in purchasing demand.
Step B rejects ineligible electricity commodity, comprising:
According to user demand, the commodity provided supplier of electricity in database screen platform, and the condition of screening includes using
Family requirement parameter, the physical couplings between supplier of electricity and user, the multi-party contract relation etc. such as supplier of electricity, user and platform,
Ineligible electricity commodity is weeded out according to conditions above.
Specifically, defining each electrical supplier Xi, i=1,2 ... n1；Defining each user is Xj, j=1,2 ... n2；Definition
Powering phase number is t, t=1,2 ... T；DefinitionFor during t, electrical supplier i is capable of supply that in the supply to user j
Limit, definitionFor during t, user j can buy the purchase volume upper limit of electrical supplier i, definitionTo supply during t
Electric business i is capable of supply that the supply lower limit of user j, definitionFor during t, user j can buy the purchase of electrical supplier i
The amount of buying lower limit, definitionFor during t, physical couplings between electrical supplier i and user j, definitionFor contract relation during t, between electrical supplier i and user j.
Wherein, platform requests user according to the different stages to provide support.If in a certain stage, supply or purchase
The amount upper limit changes, its minimum value is taken to calculate.If in a certain stage, the lower limit of supply or purchase volume is changed, its maximum is taken
Value calculates.If in a certain stage, physical connection or contract relation between some electrical supplier and user are changed, it is considered as without even
It connects or without contract relation.
If it is x that user j, which buys electrical supplier i and provides the purchase volume of commodity,i(since j is carried out platform for each user respectively
It calculates, therefore purchase volume xiIgnore subscript j), then electrical supplier screened according to the following formula:
xi≥0
Such as xi=0, it indicates that electricity purchase volume is zero, then rejects the electrical supplier.
Step C imports user demand, calculates optimal purchase scheme combination.
The implementation steps of optimal purchase scheme are calculated as shown in Fig. 2, steps are as follows:
The first step, the discrimination price by electrical supplier for different user import computing module.Electrical supplier may be according to itself
Interests issue different price set meals to different users, that is, there is discrimination valence.The step is imported for the user of posting request
Price of the different electrical suppliers to the user.
Second step calculates the valence that arrives at a station that different electrical suppliers are directed to the user.I.e. according to power network topology, different electrical suppliers are calculated
The electric energy unit price of arrival user after voltage raising and reducing, network losses passed through for the user etc..The valence that arrives at a station is equal to power supply
Bidding loses price plus synthesis on the way.
Wherein, when electrical supplier has different paths to reach the user, optimization algorithm can be used and calculate the valence that arrives at a station
Minimum value import system.Optimization algorithm can for different networks use different algorithms, as ant group algorithm, genetic algorithm,
Minimum spanning tree scheduling algorithm.
Third step, isochronous surface.For the user demand period included can Fuzzy Demand period (it is easy for narration,
Following demand periods contain can the Fuzzy Demand period) it is inquired, if in the demand period, whole electrical suppliers are not at times
Quotation, then skip over this step.If there is several electrical supplier timesharing are offered, then isochronous surface is done.
Inquire the demand period of user, determine the demand period across whole electrical suppliers be it is several, then by the demand period point
For several isochronous surfaces.Such as the user demand period is 8:00-11:00, this period shares 2 electrical suppliers A, B and can power；For
Electric business A timesharing quotation is 8:00-9:00,9:00-11:00；Electrical supplier B timesharing quotation is 8:00-10:00,10:00-11:00；
The demand period of user is then divided by 3 periods: 8:00-9:00,9:00-10:00,10:00-11:00 based on this, carries out the time
Slice.
DefinitionxiIt is x if electrical supplier A is sliced into two sections for the electrical supplier after isochronous surface1、x2, supply
It is x that electric business B, which is sliced into two sections then,3、x4, m is number of slices.
4th step carries out optimal index calculating in isochronous surface；
It is respectively calculated for different isochronous surfaces, as shown in figure 3, the optimal index in each isochronous surface calculates
Steps are as follows:
4.1 define optimization object function
Wherein fi(x) index being concerned about for user, ωiFor weight coefficient, n is index number；fiIt (x) include: price factor
f1(x), promptness rate factor f2(x), quality factor f3(x), in which:
Wherein PiFor the unit price that arrives at a station of electrical supplier i power supply, m is electrical supplier number；
Wherein QiFor the power supply promptness rate of electrical supplier i；
Wherein RiFor the power quality of electrical supplier i；
The setting of 4.2 constraint conditions
4.2.1 inequality constraints condition is arranged
Ax < b
It enablesMaximum for each electrical supplier in the period is supplied
Amount.
4.2.2 equality constraint is arranged:
Aeqx=beq
It enables Aeq=[1 11 1], beq=[numu], numu are the demand of user.
The setting of 4.3 variable bounds, comprising:
The purchase volume upper limit of electrical supplier i can be bought for user j.
For the supply lower limit that electrical supplier i is capable of supply that,For the purchase for buying electrical supplier i
Measure lower limit.
xi>=0, purchase volume nonnegativity restrictions.
4.4 fuzzinesses calculate
Define the ambiguity function being individually sliced:
Wherein, Δ gj(x) fuzziness of parameters is indicated, n is user
The parameter sum of care.Such as user is concerned about following three parameter:
For time deviation fuzziness；
For electricity consumption deviation fuzziness；
For power quality deviation fuzziness；
ωiFor the corresponding weight of parameters.
Define total ambiguity function are as follows:
4.5 optimizing
In each isochronous surface, according to constraint condition and objective function, solved with linear programming method, it is such as simple
Shape method etc..
4.6 sequence
For the optimal objective value after solving, it can according to target be worth or be ranked up according to fuzziness, after sequence
As a result it exports to user for selection by the user.
Step D, electricity consumption user buys electric energy.
Electricity consumption user can directly select electrical supplier according to the recommendation set meal of internet platform, can also voluntarily select to power
Quotient.If the parameters such as the price of supplier of electricity or power supply volume change during selection scheme, user can be directly according to variation
The selection such as price, power supply volume afterwards can also resubmit power purchase request to platform.
Step E, energy supply root buys situation according to user and carries out power transmission；
Wherein, after the scheme progress electric energy after selection optimization is selected and purchased, the power purchase information of user is sent to user by platform
Energy supply side, energy supply root carry out power transmission according to the purchase situation of user.
The above-mentioned optimization method for quantifying to select and purchase based on internet platform electricity transaction provided according to the present invention, by user
Purchasing demand is proposed to internet platform, and according to user demand, the commodity provided supplier of electricity screen platform, based on meeting
The different bid modes of the electricity commodity of condition calculate optimal purchase scheme combination, and the ranking results of purchase scheme combination are sent out
Electricity consumption user selection is given, electricity consumption user buys electric energy according to optimal purchase scheme, and energy supply root is bought situation according to user and carried out
Power transmission；So need to generate optimal power purchase scheme come the power purchase according to user using internet platform, it being capable of maximum journey
Degree ground ensures the Electrical Safety and economic interests of electricity consumption user.
Based on design identical with embodiment of the present invention method, referring to FIG. 4, the embodiment of the invention also provides a kind of electricity
The optimization system of power application data, comprising:
Requirement unit 101, for issuing purchasing demand to platform；
Wherein, purchasing demand optionally includes the electricity consumption time of this estimated purchase, place, electricity consumption, electric energy matter
The parameters such as amount.Also, user can set alternative parameter when issuing purchasing demand, wherein alternative parameter includes power supply businessman
Credit worthiness, power supply enterprise's type, power supply enterprise's scale etc..
Meanwhile it is deterministic demand or Fuzzy Demand that user, which can choose issued purchasing demand,；If user wants
It asks as deterministic demand, the electric power that electrical supplier provides must require to exactly match with user；If user requires to be that ambiguity needs
It asks, the electric power that electrical supplier provides can match in a certain range with the parameter that user requires, wherein Fuzzy Demand includes
The temporally variable range of electricity consumption, electricity consumption variable range, power quality range etc..Wherein, user can select for different parameters
Select its feature for determining or obscuring.
In addition, user can also specify the businessman to be excluded, specified power supply line etc. in purchasing demand.
Screening unit 102, for rejecting ineligible electricity commodity；The screening unit 102 is used for:
According to user demand, the commodity provided supplier of electricity in database are screened, and the condition of screening includes that user wants
The contract relation etc. for asking physical couplings, supplier of electricity and user and platform between parameter, supplier of electricity and user etc. multi-party, foundation
Conditions above weeds out ineligible electricity commodity.
Specifically, defining each electrical supplier Xi, i=1,2 ... n1；Defining each user is Xj, j=1,2 ... n2；Definition
Powering phase number is t, t=1,2 ... T；DefinitionFor during t, electrical supplier i is capable of supply that in the supply to user j
Limit, definitionFor during t, user j can buy the purchase volume upper limit of electrical supplier i, definitionTo supply during t
Electric business i is capable of supply that the supply lower limit of user j, definitionFor during t, user j can buy the purchase of electrical supplier i
The amount of buying lower limit, definitionFor during t, physical couplings between electrical supplier i and user j, definitionFor contract relation during t, between electrical supplier i and user j.
Wherein, platform requests user according to the different stages to provide support.If in a certain stage, supply or purchase
The amount upper limit changes, its minimum value is taken to calculate.If in a certain stage, the lower limit of supply or purchase volume is changed, its maximum is taken
Value calculates.If in a certain stage, physical connection or contract relation between some electrical supplier and user are changed, it is considered as without even
It connects or without contract relation.
If it is x that user j, which buys electrical supplier i and provides the purchase volume of commodity,i(since j is carried out platform for each user respectively
It calculates, therefore purchase volume xiIgnore subscript j), then electrical supplier screened according to the following formula:
xi≥0
Such as xi=0, then reject the electrical supplier.
Computing unit 103 calculates optimal purchase scheme combination for importing user demand；
The computing unit 103 specifically includes:
Discriminate against price import modul 301, the discrimination price for being directed to different user for importing electrical supplier.Electrical supplier may root
According to number one, different price set meals is issued to different users, that is, there is discrimination valence.The discrimination price import modul
301 users for being directed to posting request import different electrical suppliers to the price of the user.
Arrive at a station valence computing module 302, the valence that arrives at a station for being directed to the user for calculating different electrical suppliers.Opened up according to power grid
It flutters, calculates the electric energy unit price of the arrival user after voltage raising and reducing, network losses that different electrical suppliers pass through for the user etc..
The valence that arrives at a station is equal to power supply Bidding and loses price on the way plus synthesis.
Wherein, when electrical supplier has different paths to reach the user, optimization algorithm can be used and calculate the valence that arrives at a station
Minimum value import system.Optimization algorithm can for different networks use different algorithms, as ant group algorithm, genetic algorithm,
Minimum spanning tree scheduling algorithm.
Isochronous surface module 303 is used for isochronous surface.The isochronous surface module 303 is wrapped for the user demand period
What is contained can be inquired period (easy for narration, following demand periods contain can the Fuzzy Demand period) of Fuzzy Demand, if
In the demand period, whole electrical suppliers are not to offer at times, then skip over this step.If there is several electrical supplier timesharing reports
Valence will then cook isochronous surface.
The isochronous surface module 303 is after the demand period of inquiry user, when determining the demand for crossing over whole electrical suppliers
Section be it is several, then the demand period is divided into several isochronous surfaces.
DefinitionxiIt is x if electrical supplier A is sliced into two sections for the electrical supplier after isochronous surface1、x2, supply
It is x that electric business B, which is sliced into two sections then,3、x4, m is number of slices.
Index computing module 304, for carrying out optimal index calculating in isochronous surface；The index computing module 304
For what to be respectively calculated for different isochronous surfaces, the index computing module 304 includes:
Function definition unit 401, for defining optimization object function, specifically:
Wherein fi(x) index being concerned about for user, ωiFor weight coefficient, n is index number；fiIt (x) include: price factor
f1(x), promptness rate factor f2(x), quality factor f3(x), in which:
Wherein PiFor the unit price that arrives at a station of electrical supplier i power supply, m is electrical supplier number；
Wherein QiFor the power supply promptness rate of electrical supplier i；
Wherein RiFor the power quality of electrical supplier i；
Constraint condition setting unit 402, the setting for constraint condition, comprising:
(1) inequality constraints condition: Ax < b is set
Wherein, it enablesFor each electrical supplier the period most
Big supply.
(2) equality constraint: Aeqx=beq is set
Wherein, it enables Aeq=[1 11 1], beq=[numu], numu are the demand of user.
Variable bound setting unit 403, for the bound of variable to be arranged, comprising:
The purchase volume upper limit of electrical supplier i can be bought for user j.
For the supply lower limit that electrical supplier i is capable of supply that,For the purchase for buying electrical supplier i
The amount of buying lower limit.
xi>=0, purchase volume nonnegativity restrictions.
Fuzziness computing unit 404, for calculating the fuzziness of user demand；It specifically includes:
Define the ambiguity function being individually sliced:
Wherein, Δ gj(x) fuzziness of parameters is indicated, n is user
The parameter sum of care.Such as user is concerned about following three parameter:
For time deviation fuzziness；
For electricity consumption deviation fuzziness；
For power quality deviation fuzziness；
ωiFor the corresponding weight of parameters.
Define total ambiguity function are as follows:
Optimization Solution unit 405, the solution for target value；In each isochronous surface, the Optimization Solution unit 405
It according to constraint condition and objective function, is solved with linear programming method, such as simplex method.
Sequencing unit 406, for being ranked up to multiple calculated results；
For the optimal objective value after solving, the sequencing unit 406 can according to target be worth or carry out according to fuzziness
Sequence, the result after sequence is exported to user for selection by the user.
The system also includes electric energy to buy unit 104, buys electric energy for electricity consumption user；
Electricity consumption user can directly select electrical supplier according to the recommendation set meal of internet platform, can also voluntarily select to power
Quotient.If the parameters such as the price of supplier of electricity or power supply volume change during selection scheme, user can be directly according to variation
The selection such as price, power supply volume afterwards can also resubmit power purchase request to platform.
Electric power transfer unit 105 buys situation according to user for informing function root and carries out power transmission；
Wherein, user is after the scheme progress electric energy after selection optimization is selected and purchased, and the electric power transfer unit 105 is by user's
Power purchase information is sent to energy supply side, and energy supply root carries out power transmission according to the purchase situation of user.
The above-mentioned optimization system for quantifying to select and purchase based on internet platform electricity transaction provided according to the present invention, by demand
Unit 101 obtains the purchasing demand of user, ineligible electricity commodity is weeded out by screening unit 102, then by calculating
Unit 103 calculates optimal purchase scheme and is combined and provided to user's selection, and electric energy buys unit 104 and is used to select to purchase in user
Electric energy is bought after buyer's case, the power purchase information of user is transferred to function Fang Yixiang user and carries out electric power by electric power transfer unit 105
Transmission.The system needs to generate optimal power purchase scheme using internet platform come the power purchase according to user, being capable of maximum journey
Degree ground ensures the Electrical Safety and economic interests of electricity consumption user.
Fig. 5 is the structural schematic diagram of one embodiment of the present of invention electronic equipment.It is a kind of typically to realize that equipment is to calculate
Machine.Specifically, computer for example can for personal computer, laptop computer, cellular phone, camera phone, smart phone,
Personal digital assistant, navigation equipment, electronic mail equipment, game console, tablet computer, wearable is set media player
The combination of any equipment in standby or these equipment.In hardware view, which includes processor, optionally further comprising
Internal bus, network interface, memory.Wherein, memory may include memory, such as high-speed random access memory
(Random-Access Memory, RAM), it is also possible to further include nonvolatile memory (non-volatile memory), example
Such as at least one magnetic disk storage.Certainly, which is also possible that hardware required for other business.Processor, net
Network interface and memory can be connected with each other by internal bus, which can be ISA (Industry Standard
Architecture, industry standard architecture) bus, PCI (Peripheral Component Interconnect, peripheral hardware
Component connection standard) (Extended Industry Standard Architecture extends industrial standard by bus or EISA
Structure) bus etc..The bus can be divided into address bus, data/address bus, control bus etc..Only to be used in Fig. 5 convenient for indicating
One four-headed arrow indicates, it is not intended that an only bus or a type of bus.
Memory, for storing program.Specifically, program may include program code, and said program code includes calculating
Machine operational order.Memory may include memory and nonvolatile memory, and provide instruction and data to processor.
In a kind of mode in the cards, processor read from nonvolatile memory corresponding computer program to
It is then run in memory, corresponding computer program can also be obtained from other equipment.Processor executes what memory was stored
Program, to realize the system provided in any embodiment of the present invention by executing program.
Processing method and system provided by the present invention can be applied in processor, or be realized by processor.Processing
Device may be a kind of IC chip, the processing capacity with signal.During realization, each step of the above method can be with
It is completed by the integrated logic circuit of the hardware in processor or the instruction of software form.Above-mentioned processor can be general
Processor, including central processing unit (Central Processing Unit, CPU), network processing unit (Network
Processor, NP) etc.；It can also be digital signal processor (Digital Signal Processor, DSP), dedicated integrated
Circuit (Application Specific Integrated Circuit, ASIC), field programmable gate array (Field-
Programmable Gate Array, FPGA) either other programmable logic device, discrete gate or transistor logic,
Discrete hardware components.It may be implemented or execute disclosed each method, step and the logic diagram in the embodiment of the present invention.It is general
Processor can be microprocessor or the processor is also possible to any conventional processor etc..
The step of method in conjunction with disclosed in the embodiment of the present invention, can be embodied directly in hardware decoding processor and execute
At, or in decoding processor hardware and software module combination execute completion.Software module can be located at random access memory,
This fields such as flash memory, read-only memory, programmable read only memory or electrically erasable programmable memory, register maturation
In storage medium.The storage medium is located at memory, and processor reads the information in memory, completes above-mentioned side in conjunction with its hardware
The step of method.
The embodiment of the present invention also proposed a kind of computer readable storage medium, the computer-readable recording medium storage one
A or multiple programs, the one or more program include instruction, which holds when by the electronic equipment including multiple application programs
When row, the electronic equipment can be made to execute the processing method provided in any embodiment of the present invention
For convenience of description, it describes to be divided into various units when apparatus above with function or module describes respectively.Certainly, exist
Implement to realize the function of each unit or module in the same or multiple software and or hardware when the present invention.
The present invention be referring to the method for the embodiment of the present invention, equipment (system) and computer program product flow chart and/
Or block diagram describes.It should be understood that each process that can be realized by computer program instructions in flowchart and/or the block diagram and/
Or the combination of the process and/or box in box and flowchart and/or the block diagram.It can provide these computer program instructions
To general purpose computer, special purpose computer, Embedded Processor or other programmable data processing devices processor to generate one
A machine so that by the instruction that the processor of computer or other programmable data processing devices executes generate for realizing
The device for the function of being specified in one or more flows of the flowchart and/or one or more blocks of the block diagram.
These computer program instructions, which may also be stored in, is able to guide computer or other programmable data processing devices with spy
Determine in the computer-readable memory that mode works, so that it includes referring to that instruction stored in the computer readable memory, which generates,
Enable the manufacture of device, the command device realize in one box of one or more flows of the flowchart and/or block diagram or
The function of being specified in multiple boxes.
These computer program instructions also can be loaded onto a computer or other programmable data processing device, so that counting
Series of operation steps are executed on calculation machine or other programmable devices to generate computer implemented processing, thus in computer or
The instruction executed on other programmable devices is provided for realizing in one or more flows of the flowchart and/or block diagram one
The step of function of being specified in a box or multiple boxes.
It should also be noted that, the terms "include", "comprise" or its any other variant are intended to nonexcludability
It include so that the process, method, commodity or the equipment that include a series of elements not only include those elements, but also to wrap
Include other elements that are not explicitly listed, or further include for this process, method, commodity or equipment intrinsic want
Element.In the absence of more restrictions, the element limited by sentence "including a ...", it is not excluded that including described want
There is also other identical elements in the process, method of element, commodity or equipment.
Various embodiments are described in a progressive manner in the present invention, same and similar part between each embodiment
It may refer to each other, each embodiment focuses on the differences from other embodiments.Implement especially for system
For example, since it is substantially similar to the method embodiment, so being described relatively simple, related place is referring to embodiment of the method
Part illustrates.
The above description is only an embodiment of the present invention, is not intended to restrict the invention.For those skilled in the art
For, the invention may be variously modified and varied.All any modifications made within the spirit and principles of the present invention are equal
Replacement, improvement etc., should be included within scope of the presently claimed invention.
Claims (10)
1. a kind of optimization method of electric power application data, which comprises
Step A, electricity consumption user issue purchasing demand to platform；
Step B screens electric energy product according to the purchasing demand, rejects ineligible electric energy product；
Step C calculates multiple purchase scheme combinations according to the different bid modes of the electric energy product filtered out, will be described more
A purchase scheme combination is sent to electricity consumption user selection after being ranked up；
Step D, electricity consumption user buys electric energy according to selected purchase scheme；
Step E, energy supply root buys situation according to user and carries out power transmission.
2. the method according to claim 1, wherein
The purchasing demand includes electricity consumption time, place, electricity consumption, power quality.
3. according to the method described in claim 2, it is characterized in that,
The purchasing demand further includes alternative parameter, including electrical supplier man credit worthiness, power supply enterprise's type, power supply enterprise's scale,
Power supply line.
4. according to the method described in claim 3, it is characterized in that,
The purchasing demand is ambiguity demand or deterministic demand.
5. according to the method described in claim 4, it is characterized in that, described screen electric energy product, comprising:
If it is x that user j, which buys electrical supplier i and provides the purchase volume of commodity,i, then electrical supplier is screened in the following way:
And
And xi≥0；
If xi=0, then reject the energy supply product；
Wherein,For during t electrical supplier i be capable of supply that the supply upper limit of user j,For user j during t
The purchase volume upper limit of electrical supplier i can be bought,For during t electrical supplier i be capable of supply that the supply lower limit of user j,For during t user j can buy the purchase volume lower limit of electrical supplier i；For during t electrical supplier i with
Physical couplings between user j；For contract relation during t between electrical supplier i and user j.
6. described to calculate multiple purchase schemes combination packets according to the method described in claim 5, it is characterized in that, in step C
It includes:
The first step imports the discrimination price that electrical supplier is directed to different user；
Second step calculates the valence that arrives at a station that different electrical suppliers are directed to the user；
Third step inquires the electricity consumption time of user, if there is several electrical supplier timesharing quotation in the electricity consumption time, it is determined that
Across the number N of the demand period of whole electrical suppliers, the electricity consumption time is divided into N number of isochronous surface；
4th step, optimizes and is sorted in isochronous surface.
7. according to the method described in claim 6, it is characterized in that, described optimize in isochronous surface, comprising:
Define optimization object function
Wherein fi(x) index being concerned about for user, ωiFor weight coefficient, n is index number；
fiIt (x) include: price factor f1(x), promptness rate factor f2(x), quality factor f3(x), in which:
Wherein PiFor the unit price that arrives at a station of electrical supplier i power supply, m is electrical supplier number；
Wherein QiFor the power supply promptness rate of electrical supplier i；
Wherein RiFor the power quality of electrical supplier i；
Constraint condition setting, comprising:
Inequality constraints condition is set
Ax < b,
WhereinIt is supplied for each electrical supplier i in the maximum of the period
Ying Liang；
Equality constraint is set:
Aeqx=beq,
Wherein, [1 11 1] Aeq=, beq=[numu], numu are the electrical energy demands amount of user；
The setting of variable bound, comprising:
xi≥0；
Fuzziness calculates
Define the ambiguity function being individually sliced:
Wherein, n is the number of parameters that user is concerned about, Δ gj(x) each ginseng is indicated
Several fuzzinesses, ωiFor the corresponding weight of parameters, the parameter that the user is concerned about includes:
For time deviation fuzziness；
For electricity consumption deviation fuzziness；
For power quality deviation fuzziness；
Then total ambiguity function are as follows:
8. the method according to the description of claim 7 is characterized in that it is described sequence include be ranked up according to target value or by
It is ranked up according to fuzziness.
9. a kind of optimization system of electric power application data, the system comprises:
Requirement unit issues purchasing demand to platform for electricity consumption user；
Screening unit rejects ineligible electric energy product for screening according to the purchasing demand to electric energy product；
Computing unit calculates multiple purchase scheme combinations for the different bid modes according to the electric energy product filtered out, will
The multiple purchase scheme combination is sent to electricity consumption user selection after being ranked up；
Electric energy buys unit, buys electric energy according to selected purchase scheme for electricity consumption user；
Electric power transfer unit 105, for notifying energy supply root buys situation according to user to carry out power transmission.
10. a kind of electronic equipment, comprising:
Processor；
Memory is stored with computer executable program, and the computer executable program realizes power when being executed by processor
Benefit requires any method of 1-8.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112150058A (en) * | 2019-06-26 | 2020-12-29 | 株式会社日立制作所 | Supply chain design system and supply chain design method |
| CN113077272A (en) * | 2020-01-03 | 2021-07-06 | 中国移动通信集团广东有限公司 | Communication service marketing plan optimization method and device |
| CN113240288A (en) * | 2021-05-17 | 2021-08-10 | 上海创能国瑞新能源科技股份有限公司 | Power scheme selection method and device and electronic equipment |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105404931A (en) * | 2015-05-27 | 2016-03-16 | 国家电网公司 | Electricity purchase strategy optimization method for direct power purchase large consumers based on electricity price multi-state model |
| CN106228466A (en) * | 2016-08-01 | 2016-12-14 | 中国南方电网有限责任公司电网技术研究中心 | Power retailing company Purchasing combination Design Method and system |
| CN106651224A (en) * | 2017-01-24 | 2017-05-10 | 国网福建省电力有限公司 | Method for optimizing provincial new energy purchasing quantity under peak and valley electricity prices |
| CN107103520A (en) * | 2017-05-08 | 2017-08-29 | 深圳市思域网络技术有限公司 | Smart shopper price comparing method and system |
| CN107220894A (en) * | 2017-05-28 | 2017-09-29 | 田茂祥 | A kind of electricity transaction implementation method based on electric power transaction platform |
| CN108346008A (en) * | 2018-03-17 | 2018-07-31 | 国网陕西省电力公司电力科学研究院 | A kind of algorithm model and management-control method of electricity market large user direct dealing |
| WO2018160228A1 (en) * | 2017-03-03 | 2018-09-07 | General Electric Company | Microgrid energy reservoir transaction verification via secure, distributed ledger |
-
2018
- 2018-12-24 CN CN201811579725.5A patent/CN109726861B/en active Active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105404931A (en) * | 2015-05-27 | 2016-03-16 | 国家电网公司 | Electricity purchase strategy optimization method for direct power purchase large consumers based on electricity price multi-state model |
| CN106228466A (en) * | 2016-08-01 | 2016-12-14 | 中国南方电网有限责任公司电网技术研究中心 | Power retailing company Purchasing combination Design Method and system |
| CN106651224A (en) * | 2017-01-24 | 2017-05-10 | 国网福建省电力有限公司 | Method for optimizing provincial new energy purchasing quantity under peak and valley electricity prices |
| WO2018160228A1 (en) * | 2017-03-03 | 2018-09-07 | General Electric Company | Microgrid energy reservoir transaction verification via secure, distributed ledger |
| CN107103520A (en) * | 2017-05-08 | 2017-08-29 | 深圳市思域网络技术有限公司 | Smart shopper price comparing method and system |
| CN107220894A (en) * | 2017-05-28 | 2017-09-29 | 田茂祥 | A kind of electricity transaction implementation method based on electric power transaction platform |
| CN108346008A (en) * | 2018-03-17 | 2018-07-31 | 国网陕西省电力公司电力科学研究院 | A kind of algorithm model and management-control method of electricity market large user direct dealing |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112150058A (en) * | 2019-06-26 | 2020-12-29 | 株式会社日立制作所 | Supply chain design system and supply chain design method |
| CN113077272A (en) * | 2020-01-03 | 2021-07-06 | 中国移动通信集团广东有限公司 | Communication service marketing plan optimization method and device |
| CN113077272B (en) * | 2020-01-03 | 2023-07-21 | 中国移动通信集团广东有限公司 | Communication business marketing scheme optimization method and device |
| CN113240288A (en) * | 2021-05-17 | 2021-08-10 | 上海创能国瑞新能源科技股份有限公司 | Power scheme selection method and device and electronic equipment |
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|---|---|
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