CN110400168A - A kind of method and system of electric power medium and long-term transaction curve separating - Google Patents
A kind of method and system of electric power medium and long-term transaction curve separating Download PDFInfo
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Abstract
The invention discloses a kind of method and systems of electric power medium and long-term transaction curve separating.Method includes the following steps: S1. obtains power consumer data, electric power medium and long-term transaction contract data and spot market forecast price curve；S2. the load prediction curve of sale of electricity side is established in conjunction with the electricity in electric power medium and long-term transaction contract data according to power consumer data；S3. according to electric power medium and long-term transaction contract data, the composite price curve of electric power medium and long-term transaction is established；S4. according to spot market forecast price curve, the composite price curve of the load prediction curve of sale of electricity side and electric power medium and long-term transaction, electric power medium and long-term transaction curve separating model is established；S5. according to electric power medium and long-term transaction curve separating model, sale of electricity side's load decomposition curve of optimization is obtained.The sale of electricity side's load decomposition curve obtained using the method for electric power medium and long-term transaction curve separating, can increase the income of sale of electricity company in electricity transaction.
Description
Technical field
The present invention relates to electricity transaction utilizations, and in particular to a kind of method of electric power medium and long-term transaction curve separating and is
System.
Background technique
New round electricity has changed power sales progress like a raging fire since No. 9 texts issue, dog-eat-dog.Upcoming stock
Market proposes higher technical requirements for sale of electricity company, and how electricity will be declared, and Cai Nengshi sale of electricity company and user benefit are most
Bigization curve separating becomes one of sale of electricity company important process, and in the prior art, there are no efficient solutions.
At present for the curve separating of medium-term and long-term electricity transaction contract, the following two kinds mode is generallyd use:
(1) customized decomposition curve is voluntarily determined by main market players.
(2) decomposition curve is commonly used, is decomposed by market operation mechanism according to typical case.Market operation mechanism was according to upper one year
System adjusts quantity of electricity and combines four quasi-representative days (working day, Saturday, Sunday, festivals or holidays), and contract total electricity is successively decomposed
Year, month, day, in a few days typical curve has whole day averaged curve (whole day is straight line), and peak valley horizontal curve (adjusts historical load according to system
Determine peak, flat, three sections of load proportions of paddy).
The above medium-term and long-term electricity trade curve of analysis decomposes status, and there is also following insufficient and demands:
Lack the analysis that the countermeasure of maximum gain is obtained to sale of electricity company and power consumer.The prior art is mostly special
The accuracy in decomposition curve is infused, i.e., accurately carries out the matching of load prediction and generating capacity, and cannot accurately be served
Special body.Sale of electricity company and power consumer make sale of electricity company can use price the individual demand of profit and cost declining
Long-term electricity declares strategy in signal formulation, and by marketing and power consumer is instructed to carry out accordingly in spot exchange
Demand Side Response etc. ensures that electricity declares the maximization execution of strategy.
Summary of the invention
The prior art is directed to the method and system of curve separating, is dedicated to the accuracy of curve separating, is not directed to utilization
Price factor goes adjustment decomposition curve, after obtaining decomposition curve under accurate load prediction, utilize stock
Price removes the decomposition curve of long-term electricity transaction in optimization, and by marketing and instructs user controllable negative in spot exchange
The realization that the operational support decomposition curve of lotus is generated strategy, makes sale of electricity company obtain more income.
Specifically, the invention proposes a kind of methods of electric power medium and long-term transaction curve separating, comprising the following steps:
S1. power consumer data, electric power medium and long-term transaction contract data and spot market forecast price curve are obtained；
S2. the negative of sale of electricity side is established in conjunction with the electricity in electric power medium and long-term transaction contract data according to power consumer data
Lotus prediction curve；
S3. according to electric power medium and long-term transaction contract data, the composite price curve of electric power medium and long-term transaction is established；
S4. according to the comprehensive of spot market forecast price curve, the load prediction curve of sale of electricity side and electric power medium and long-term transaction
Price curve is closed, electric power medium and long-term transaction curve separating model is established；
S5. according to electric power medium and long-term transaction curve separating model, sale of electricity side's load decomposition curve of optimization is obtained.
Specifically, in step S1, the power consumer data include: historical load curve, user power utilization demand data, use
Family production with maintenance plan data, working days accordingly and meteorological data；The spot market forecast price curve is that stock is opened
Before beginning, spot price curve that sale of electricity root is predicted according to market relevant information.
Specifically, the electric power medium and long-term transaction curve separating model:
P ' (t)≤P (t), then Q ' (t)≤Q (t)；
P ' (t) >=P (t), then Q ' (t) >=Q (t)；
Rule of judgment are as follows:
∑ Q ' (t)=∑ Q (t) and when P ' (t) >=P ' (t ± n), Q ' (t) >=Q ' (t ± n)；
Wherein P ' (t) is the power price of t moment in spot market forecast price curve；
P (t) is the power price of t moment in the composite price curve of electric power medium and long-term transaction；
The electricity of the sale of electricity side of t moment in the load prediction curve of the sale of electricity side Q (t)；
Q ' (t) is the electricity of the sale of electricity side of t moment in sale of electricity side's load decomposition curve of optimization.
As optimal technical scheme, step S5 includes the following steps:
S51. the composite price of the power price to the spot market forecast price curve of t moment and electric power medium and long-term transaction
The power price of curve is compared, and the electricity of t moment sale of electricity side sets optimization in the load prediction curve of combination sale of electricity side
Sale of electricity side's load decomposition curve in t moment sale of electricity side electricity, meet following condition:
P ' (t)≤P (t), then Q ' (t)≤Q (t)；
P ' (t) >=P (t), then Q ' (t) >=Q (t)；
S52. judge whether the electricity of sale of electricity side in sale of electricity side's load decomposition curve of t moment optimization meets following condition:
∑ Q ' (t)=∑ Q (t) and when P ' (t) >=P ' (t ± n), Q ' (t) >=Q ' (t ± n)；It is to enter step S53；It is no, return step
S51；
S53. sale of electricity side's load decomposition curve of optimization is exported.
The present invention also provides a kind of systems of electric power medium and long-term transaction curve separating, comprising:
Data acquisition module obtains power consumer data, electric power medium and long-term transaction contract data and spot market prediction
Price curve；
Load prediction curve establishes module, according to power consumer data, in conjunction in electric power medium and long-term transaction contract data
Electricity establishes the load prediction curve of sale of electricity side；
Composite price curve establishes module, according to electric power medium and long-term transaction contract data, establishes electric power medium and long-term transaction
Composite price curve；
Electric power medium and long-term transaction curve separating model building module, according to spot market forecast price curve, sale of electricity side
The composite price curve of load prediction curve and electric power medium and long-term transaction establishes electric power medium and long-term transaction curve separating model；
Sale of electricity side's load decomposition curve acquisition module of optimization is obtained according to electric power medium and long-term transaction curve separating model
Sale of electricity side's load decomposition curve of optimization.
As optimal technical scheme, the data acquisition module includes power consumer data acquisition module, long-term in electric power
Contract data of trading obtains module and spot market forecast price curve acquisition module；
Wherein, the power consumer data acquisition module includes: historical load curve acquisition module, and it is bent to obtain historical load
Line；User power utilization demand data obtains module, obtains user power utilization data；User's production and maintenance plan data acquisition module,
Obtain user's production and maintenance plan data；Working day data acquisition module obtains working days evidence；Meteorological data obtains mould
Block obtains meteorologic factor data；
The spot market forecast price curve acquisition module includes: that marketing data obtains module, obtains market information number
According to；Spot market forecast price curve establishes module, according to market information data, establishes spot market forecast price curve.
As optimal technical scheme, the electric power medium and long-term transaction curve separating model:
P ' (t)≤P (t), then Q ' (t)≤Q (t)；
P ' (t) >=P (t), then Q ' (t) >=Q (t)；
Rule of judgment are as follows:
∑ Q ' (t)=∑ Q (t) and when P ' (t) >=P ' (t ± n), Q ' (t) >=Q ' (t ± n)；
Wherein, P ' (t) is the power price of t moment in spot market forecast price curve；
P (t) is the power price of t moment in the composite price curve of electric power medium and long-term transaction；
The electricity of the sale of electricity side of t moment in the load prediction curve of the sale of electricity side Q (t)；
Q ' (t) is the electricity of the sale of electricity side of t moment in sale of electricity side's load decomposition curve of optimization.
As optimal technical scheme, sale of electricity side's load decomposition curve acquisition module of the optimization includes:
Sale of electricity side's electricity setting module, to long in the power price and electric power of the spot market forecast price curve of t moment
The power price of the composite price curve of phase transaction is compared, and t moment sale of electricity in the load prediction curve of combination sale of electricity side
The electricity of t moment sale of electricity side in sale of electricity side's load decomposition curve of the electricity setting optimization of side, meets following condition:
P ' (t)≤P (t), then Q ' (t)≤Q (t)；
P ' (t) >=P (t), then Q ' (t) >=Q (t)；
Rule of judgment judgment module, judge t moment optimization sale of electricity side's load decomposition curve in sale of electricity side electricity whether
Meet following condition: ∑ Q ' (t)=∑ Q (t) and when P ' (t) >=P ' (t ± n), Q ' (t) >=Q ' (t ± n)；It is to be born by sale of electricity side
Lotus decomposition curve output module carries out in next step；It is no, sale of electricity side's electricity setting module is returned, the electricity of moment sale of electricity side is reset
Amount；
Sale of electricity side's load decomposition curve output module exports sale of electricity side's load decomposition curve of optimization.
The present invention also provides a kind of computer readable storage mediums, including execute instruction, when the processor of electronic equipment is held
When being executed instruction described in row, method that the processor executes above-mentioned electric power medium and long-term transaction curve separating.
The present invention also provides a kind of electronic equipment, including processor and the memory executed instruction are stored with, when described
When processor executes memory storage described and executes instruction, the processor executes above-mentioned electric power medium and long-term transaction curve
The method of decomposition.
Sale of electricity side's load decomposition curve that the present invention is obtained using the method for electric power medium and long-term transaction curve separating, in electric power
The income of sale of electricity company can be increased in transaction.
Detailed description of the invention
It to describe the technical solutions in the embodiments of the present invention more clearly, below will be to embodiment or description of the prior art
Needed in attached drawing be briefly described, it should be apparent that, the accompanying drawings in the following description is only of the invention some
Embodiment for those of ordinary skill in the art without creative efforts, can also be attached according to these
Figure obtains other attached drawings.
Fig. 1 is that a kind of step process of the method for electric power medium and long-term transaction curve separating that one embodiment of the invention provides is shown
It is intended to；
Fig. 2 is the step process signal of the sale of electricity side's load decomposition curve for the acquisition optimization that one embodiment of the invention provides
Figure.
Fig. 3 is the structural schematic diagram of the system for the electric power medium and long-term transaction curve separating that one embodiment of the invention provides；
Fig. 4 is the initial decomposition curve for the sale of electricity company that one embodiment of the invention provides.
Fig. 5 is the Optimal Decomposition curve for the sale of electricity company that one embodiment of the invention provides.
Fig. 6 is the structural schematic diagram for a kind of 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.
As shown in connection with fig. 1, the method for electric power medium and long-term transaction curve separating provided by the invention, comprising the following steps:
S1. power consumer data, electric power medium and long-term transaction contract data and spot market forecast price curve are obtained.Its
In, power consumer data include: historical load curve, user power utilization demand data, user's production and maintenance plan data, work
Number of days is accordingly and meteorological data.Before spot market forecast price curve refers to that stock starts, sale of electricity root is according to market relevant information
The spot price curve of prediction；
S2. the negative of sale of electricity side is established in conjunction with the electricity in electric power medium and long-term transaction contract data according to power consumer data
Lotus prediction curve；
S3. according to electric power medium and long-term transaction contract data, the composite price curve of electric power medium and long-term transaction is established；
S4. according to the comprehensive of spot market forecast price curve, the load prediction curve of sale of electricity side and electric power medium and long-term transaction
Price curve is closed, electric power medium and long-term transaction curve separating model is established；
P ' (t)≤P (t), then Q ' (t)≤Q (t)；
P ' (t) >=P (t), then Q ' (t) >=Q (t)；
Rule of judgment are as follows:
∑ Q ' (t)=∑ Q (t) and when P ' (t) >=P ' (t ± n), Q ' (t) >=Q ' (t ± n)；
Wherein P ' (t) is the power price of t moment in spot market forecast price curve；
P (t) is the power price of t moment in the composite price curve of electric power medium and long-term transaction；
The electricity of the sale of electricity side of t moment in the load prediction curve of the sale of electricity side Q (t)；
Q ' (t) is the electricity of the sale of electricity side of t moment in sale of electricity side's load decomposition curve of optimization.
S5. according to electric power medium and long-term transaction curve separating model, sale of electricity side's load decomposition curve of optimization is obtained, it is (i.e. electric
Power medium and long-term transaction load decomposition curve).As shown in Fig. 2, specifically comprising the following steps:
S51. the composite price of the power price to the spot market forecast price curve of t moment and electric power medium and long-term transaction
The power price of curve is compared, and the electricity of t moment sale of electricity side sets optimization in the load prediction curve of combination sale of electricity side
Sale of electricity side's load decomposition curve in t moment sale of electricity side electricity, meet following condition:
P ' (t)≤P (t), then Q ' (t)≤Q (t)；
P ' (t) >=P (t), then Q ' (t) >=Q (t)；
S52. judge whether the electricity of sale of electricity side in sale of electricity side's load decomposition curve of t moment optimization meets following condition:
∑ Q ' (t)=∑ Q (t) and when P ' (t) >=P ' (t ± n), Q ' (t) >=Q ' (t ± n)；It is to enter step S53；It is no, return step
S51；
S53. sale of electricity side's load decomposition curve of optimization is exported.
In conjunction with the above method, as shown in figure 3, the present invention also provides the systems of electric power medium and long-term transaction curve separating, comprising:
It is pre- to obtain power consumer data, electric power medium and long-term transaction contract data and spot market for data acquisition module 10
Survey price curve.Data acquisition module 10 is obtained including power consumer data acquisition module 101, electric power medium and long-term transaction contract data
Modulus block 102 and spot market forecast price curve acquisition module 103.More specifically, power consumer data acquisition module 101
Can include: historical load curve acquisition module obtains historical load curve；User power utilization demand data obtains module, obtains and uses
Family electricity consumption data；User's production and maintenance plan data acquisition module, obtain user's production and maintenance plan data；Working days
According to module is obtained, working days evidence is obtained；Meteorological data obtains module, obtains meteorologic factor data.Spot market forecast price
Curve acquisition module 103 can include: marketing data obtains module, obtains market information data；Spot market forecast price curve
Module is established, according to market information data, establishes spot market forecast price curve.
Load prediction curve establishes module 20, according to power consumer data, in conjunction in electric power medium and long-term transaction contract data
Electricity, establish the load prediction curve of sale of electricity side；
Composite price curve establishes module 30, according to electric power medium and long-term transaction contract data, establishes electric power medium and long-term transaction
Composite price curve；
Electric power medium and long-term transaction curve separating model building module 40, according to spot market forecast price curve, sale of electricity side
Load prediction curve and electric power medium and long-term transaction composite price curve, establish electric power medium and long-term transaction curve separating model:
P ' (t)≤P (t), then Q ' (t)≤Q (t)；
P ' (t) >=P (t), then Q ' (t) >=Q (t)；
Rule of judgment are as follows:
∑ Q ' (t)=∑ Q (t) and when P ' (t) >=P ' (t ± n), Q ' (t) >=Q ' (t ± n)；
Wherein P ' (t) is the power price of t moment in spot market forecast price curve；
P (t) is the power price of t moment in the composite price curve of electric power medium and long-term transaction；
The electricity of the sale of electricity side of t moment in the load prediction curve of the sale of electricity side Q (t)；
Q ' (t) is the electricity of the sale of electricity side of t moment in sale of electricity side's load decomposition curve of optimization.
Sale of electricity side's load decomposition curve acquisition module 50 of optimization is obtained according to electric power medium and long-term transaction curve separating model
The sale of electricity side's load decomposition curve that must optimize.Comprising:
Sale of electricity side's electricity setting module 501, in the power price and electric power of the spot market forecast price curve of t moment
The power price of the composite price curve of long-term trade is compared, and t moment is sold in the load prediction curve of combination sale of electricity side
The electricity of t moment sale of electricity side in sale of electricity side's load decomposition curve of the electricity setting optimization of electricity side, meets following condition:
P ' (t)≤P (t), then Q ' (t)≤Q (t)；
P ' (t) >=P (t), then Q ' (t) >=Q (t)；
Rule of judgment judgment module 502 judges that the electricity of sale of electricity side in sale of electricity side's load decomposition curve of t moment optimization is
It is no to meet following condition: ∑ Q ' (t)=∑ Q (t) and when P ' (t) >=P ' (t ± n), Q ' (t) >=Q ' (t ± n)；It is, by sale of electricity side
Load decomposition curve output module carries out in next step；It is no, sale of electricity side's electricity setting module is returned, moment sale of electricity side is reset
Electricity；
Sale of electricity side's load decomposition curve output module 503 exports sale of electricity side's load decomposition curve of optimization.
Spot exchange is carried out using sale of electricity side's load decomposition curve of optimization, can be realized the increase of income.Spot exchange
Strategy may include following steps:
T1. judge the power price P (t) of t moment and spot market electricity in the composite price curve of electric power medium and long-term transaction
Power price whether there is deviation；It is to carry out step T3；It is no, carry out step T2；
T2. judge whether the practical electric load of t moment is higher than selling for t moment in sale of electricity side's load decomposition curve of optimization
Electric load Q ' (t) of electricity side；It is to buy in electricity；It is no, sell electricity (buy in and sell and do not need really to be operated,
Directly go out to can be realized clearly the effect of similar " buying in " and " selling ".)；
T3. analyze and determine the adjusting potentiality and load character of all controllable burdens, composite price factor and load deviation into
The corresponding response of row.Such as spot price is higher than medium and long-term transaction price, when declaring electricity less than practical electricity, instructs user logical
It crosses Demand Side Response and reduces electricity consumption or adjustment electricity consumption period, the electricity consumption of in advance/postponement controllable burden.
Technical solution of the present invention is further described by taking a specific embodiment as an example below.
Sale of electricity company A has been signed to schedule to last in week after the concentration carried out is bidded and terminate all middle length before next week real trade starts
Phase transaction obtains initial point of sale of electricity company according to the load prediction data of all medium and long-term transaction contracts and all electricity consumption sides
Solution curve (some day next week), as shown in Figure 4.
Initial decomposition curve is adjusted according to the spot price curve of prediction, obtains Optimal Decomposition curve.Such as Fig. 5 institute
Show.
The period that electricity changes after adjusting can participate in stock day-ahead power market or real-time deal carries out arbitrage and adjusting
Deviation, spot exchange strategy and detailed data are shown in Table one.
Table one: decomposition curve and price curve detailed data table
Illustrate: the dealing electricity of 1. spot exchange strategies is generally used for medium and long-term transaction only for medium and long-term transaction contract
Amount accounts for the 70%~90% of total amount of transactions, and residue needs the electricity bought not it is considered herein that in range.
2. buy in and sell and do not need really to be operated in the column of spot exchange strategy one in table, directly goes out and be clearly
Similar " buying in " can be achieved with " selling " as a result, realizing arbitrage.
1.95 ten thousand yuan of total arbitrage may be implemented according to the strategy of table one, if in conjunction with electricity consumption side's controllable burden, it can be achieved that more
Income, such as 9:00 and 10:00 period, electricity consumption side produce in 9 energy storage or in advance in advance, can sell more in 10:00
More electricity obtain income.
Assuming that there is deviation in spot price prediction, in order not to lose (long-term income in guarantee), using electricity consumption side
Controllable burden is adjusted, for example, 10:00 price less than 410 yuan/megawatt hour, instruct the 10:00 energy storage of electricity consumption side or more productions
Or it produces in advance.
Fig. 6 is that a kind of structure of the device of the method for electric power medium and long-term transaction curve separating provided in an embodiment of the present invention is shown
It is intended to.In hardware view, which includes processor 701 and is stored with the memory 702 executed instruction, is optionally also wrapped
Include internal bus 703 and network interface 704.Wherein, memory 702 may include memory 7021, such as high random access is deposited
Reservoir (Random-Access Memory, RAM), it is also possible to further include 7022 (non-volatile of nonvolatile memory
Memory), for example, at least 1 magnetic disk storage etc.；Processor 701, network interface 704 and memory 702 can pass through inside
Bus 703 is connected with each other, which can be ISA (Industry Standard Architecture, industry mark
Quasi- architecture) bus, PCI (Peripheral Component Interconnect, Peripheral Component Interconnect standard) bus or
EISA (Extended Industry Standard Architecture, expanding the industrial standard structure) bus etc.；The inside
Bus 703 can be divided into address bus, data/address bus, control bus etc., for convenient for indicating, only with a four-headed arrow in Fig. 6
It indicates, it is not intended that an only bus or a type of bus.Certainly, which is also possible that other business institutes
The hardware needed.When processor 701 executes when executing instruction of the storage of memory 702, it is any one that processor 701 executes the present invention
A method as described in the examples, and at least for executing: in a kind of mode in the cards, processor is deposited from non-volatile
Corresponding execute instruction in memory is read in reservoir then to run, and can also be obtained from other equipment and be executed instruction accordingly,
To form the device of the method for electric power medium and long-term transaction curve separating on logic level.Processor executes what memory was stored
It executes instruction, to execute instruction the electric power medium and long-term transaction curve point provided in realization any embodiment of the present invention by what is executed
The method of solution.
Processor may be a kind of IC chip, the processing capacity with signal.During realization, the above method
Each step can be completed by the instruction of the integrated logic circuit of the hardware in processor or software form.Above-mentioned processing
Device can be general processor, including central processing unit (Central Processing Unit, CPU), network processing unit
(Network Processor, NP) etc.；Can also be digital signal processor (Digital Signal Processor,
DSP), specific integrated circuit (Application Specific Integrated Circuit, ASIC), field programmable gate
Array (Field-Programmable Gate Array, FPGA) either other programmable logic device, discrete gate or crystalline substance
Body pipe logical device, discrete hardware components.May be implemented or execute disclosed each method in the embodiment of the present invention, step and
Logic diagram.General processor can be microprocessor or the processor is also possible to any conventional processor etc..
The embodiment of the invention also provides a kind of computer readable storage mediums, including execute instruction, when electronic equipment
When executing instruction described in processor execution, the electronic equipment executes the method provided in any one embodiment of the invention.It should
Electronic equipment specifically can be as the device of the method for Fig. 6 electric power medium and long-term transaction curve separating is standby shown；Execute instruction acquisition
The method of electric power medium and long-term transaction curve separating is corresponding computer program.
It should be understood by those skilled in the art that, the embodiment of the present invention can provide as method or computer program product.
Therefore, the form that complete hardware embodiment, complete software embodiment or software and hardware combine can be used in the present invention.
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.
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.
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 method of electric power medium and long-term transaction curve separating, which comprises the following steps:
S1. power consumer data, electric power medium and long-term transaction contract data and spot market forecast price curve are obtained；
S2. according to power consumer data, in conjunction with the electricity in electric power medium and long-term transaction contract data, the load for establishing sale of electricity side is pre-
Survey curve；
S3. according to electric power medium and long-term transaction contract data, the composite price curve of electric power medium and long-term transaction is established；
S4. according to spot market forecast price curve, the synthesis valence of the load prediction curve of sale of electricity side and electric power medium and long-term transaction
Lattice curve establishes electric power medium and long-term transaction curve separating model；
S5. according to electric power medium and long-term transaction curve separating model, sale of electricity side's load decomposition curve of optimization is obtained.
2. the method for electric power medium and long-term transaction curve separating according to claim 1, which is characterized in that in step S1, institute
Stating power consumer data includes: historical load curve, user power utilization demand data, user's production and maintenance plan data, work
Number of days is accordingly and meteorological data；The spot market forecast price curve is before stock starts, and sale of electricity root is believed according to market correlation
Cease the spot price curve of prediction.
3. the method for electric power medium and long-term transaction curve separating according to claim 1, which is characterized in that long in the electric power
Phase trade off curve decomposition model:
P ' (t)≤P (t), then Q ' (t)≤Q (t)；
P ' (t) >=P (t), then Q ' (t) >=Q (t)；
Rule of judgment are as follows:
∑ Q ' (t)=∑ Q (t) and when P ' (t) >=P ' (t ± n), Q ' (t) >=Q ' (t ± n)；
Wherein P ' (t) is the power price of t moment in spot market forecast price curve；
P (t) is the power price of t moment in the composite price curve of electric power medium and long-term transaction；
The electricity of the sale of electricity side of t moment in the load prediction curve of the sale of electricity side Q (t)；
Q ' (t) is the electricity of the sale of electricity side of t moment in sale of electricity side's load decomposition curve of optimization.
4. the method for electric power medium and long-term transaction curve separating according to claim 3, which is characterized in that step S5 includes such as
Lower step:
S51. the composite price curve of the power price to the spot market forecast price curve of t moment and electric power medium and long-term transaction
Power price be compared, and combine sale of electricity side load prediction curve in t moment sale of electricity side electricity setting optimization sell
The electricity of t moment sale of electricity side in electricity side's load decomposition curve, meets following condition:
P ' (t)≤P (t), then Q ' (t)≤Q (t)；
P ' (t) >=P (t), then Q ' (t) >=Q (t)；
S52. judge whether the electricity of sale of electricity side in sale of electricity side's load decomposition curve of t moment optimization meets following condition: ∑ Q '
(t)=∑ Q (t) and when P ' (t) >=P ' (t ± n), Q ' (t) >=Q ' (t ± n)；It is to enter step S53；It is no, return step S51；
S53. sale of electricity side's load decomposition curve of optimization is exported.
5. a kind of system of electric power medium and long-term transaction curve separating characterized by comprising
Data acquisition module obtains power consumer data, electric power medium and long-term transaction contract data and spot market forecast price
Curve；
Load prediction curve establishes module, according to power consumer data, in conjunction with the electricity in electric power medium and long-term transaction contract data,
Establish the load prediction curve of sale of electricity side；
Composite price curve establishes module, according to electric power medium and long-term transaction contract data, establishes the synthesis of electric power medium and long-term transaction
Price curve；
Electric power medium and long-term transaction curve separating model building module, according to spot market forecast price curve, the load of sale of electricity side
The composite price curve of prediction curve and electric power medium and long-term transaction establishes electric power medium and long-term transaction curve separating model；
Sale of electricity side's load decomposition curve acquisition module of optimization is optimized according to electric power medium and long-term transaction curve separating model
Sale of electricity side's load decomposition curve.
6. the system of electric power medium and long-term transaction curve separating according to claim 1, which is characterized in that
The data acquisition module include power consumer data acquisition module, electric power medium and long-term transaction contract data obtain module with
And spot market forecast price curve acquisition module；
Wherein, the power consumer data acquisition module includes: historical load curve acquisition module, obtains historical load curve；
User power utilization demand data obtains module, obtains user power utilization data；User's production and maintenance plan data acquisition module, obtain
User's production and maintenance plan data；Working day data acquisition module obtains working days evidence；Meteorological data obtains module, obtains
Take meteorologic factor data；
The spot market forecast price curve acquisition module includes: that marketing data obtains module, obtains market information data；It is existing
Goods market prediction price curve establishes module, according to market information data, establishes spot market forecast price curve.
7. the system of electric power medium and long-term transaction curve separating according to claim 1, which is characterized in that long in the electric power
Phase trade off curve decomposition model:
P ' (t)≤P (t), then Q ' (t)≤Q (t)；
P ' (t) >=P (t), then Q ' (t) >=Q (t)；
Rule of judgment are as follows:
∑ Q ' (t)=∑ Q (t) and when P ' (t) >=P ' (t ± n), Q ' (t) >=Q ' (t ± n)；
Wherein P ' (t) is the power price of t moment in spot market forecast price curve；
P (t) is the power price of t moment in the composite price curve of electric power medium and long-term transaction；
The electricity of the sale of electricity side of t moment in the load prediction curve of the sale of electricity side Q (t)；
Q ' (t) is the electricity of the sale of electricity side of t moment in sale of electricity side's load decomposition curve of optimization.
8. the method for electric power medium and long-term transaction curve separating according to claim 3, which is characterized in that the optimization is sold
Electricity side's load decomposition curve acquisition module includes:
Sale of electricity side's electricity setting module, to being handed over for a long time in the power price and electric power of the spot market forecast price curve of t moment
The power price of easy composite price curve is compared, and t moment sale of electricity side in the load prediction curve of combination sale of electricity side
The electricity of t moment sale of electricity side in sale of electricity side's load decomposition curve of electricity setting optimization, meets following condition:
P ' (t)≤P (t), then Q ' (t)≤Q (t)；
P ' (t) >=P (t), then Q ' (t) >=Q (t)；
Rule of judgment judgment module, judges whether the electricity of sale of electricity side in sale of electricity side's load decomposition curve of t moment optimization meets
Following condition: ∑ Q ' (t)=∑ Q (t) and when P ' (t) >=P ' (t ± n), Q ' (t) >=Q ' (t ± n)；It is, by sale of electricity side's load point
Solution curve output module carries out in next step；It is no, sale of electricity side's electricity setting module is returned, the electricity of moment sale of electricity side is reset；
Sale of electricity side's load decomposition curve output module exports sale of electricity side's load decomposition curve of optimization.
9. a kind of computer readable storage medium, including execute instruction, executed when the processor of electronic equipment described in execute instruction
When, the processor executes the method as described in any in Claims 1-4.
10. a kind of electronic equipment including processor and is stored with the memory executed instruction, described in processor execution
When executing instruction described in memory storage, the processor executes the method as described in any in Claims 1-4.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111125633A (en) * | 2019-11-14 | 2020-05-08 | 广东电力交易中心有限责任公司 | Decomposition curve calculation method and device for electric power market transaction |
| CN113947201A (en) * | 2021-08-02 | 2022-01-18 | 国家电投集团电站运营技术（北京）有限公司 | Training method and device for power decomposition curve prediction model and storage medium |
-
2019
- 2019-07-01 CN CN201910586549.6A patent/CN110400168A/en active Pending
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111125633A (en) * | 2019-11-14 | 2020-05-08 | 广东电力交易中心有限责任公司 | Decomposition curve calculation method and device for electric power market transaction |
| CN113947201A (en) * | 2021-08-02 | 2022-01-18 | 国家电投集团电站运营技术（北京）有限公司 | Training method and device for power decomposition curve prediction model and storage medium |
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Application publication date: 20191101 |