CN109858783A - Wind power plant electricity transaction auxiliary decision-making support system and aid decision support method - Google Patents
Wind power plant electricity transaction auxiliary decision-making support system and aid decision support method Download PDFInfo
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- CN109858783A CN109858783A CN201910038904.6A CN201910038904A CN109858783A CN 109858783 A CN109858783 A CN 109858783A CN 201910038904 A CN201910038904 A CN 201910038904A CN 109858783 A CN109858783 A CN 109858783A
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- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
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Abstract
The embodiment of the invention provides a kind of wind power plant electricity transaction auxiliary decision-making support systems and aid decision to support method, the system comprises: region wind-resources data obtaining module, medium-term and long-term generated energy prediction module, Transaction Information import modul and aid decision module.The wind power plant electricity transaction auxiliary decision-making support system provided in the embodiment of the present invention, in view of the intermittence of new energy wind power output and unstable row, long-term generated energy is predicted as starting point from new energy, in conjunction with market information, history deal message etc., it really can go to consider to model from the different angle of power station generator operation, guarantee that power station in the case where not examined more, promotes the generating capacity in power station, guarantees the more incomes in power station.
Description
Technical field
The present embodiments relate to electric field transaction auxiliary decision technology fields, more particularly, to wind power plant electric power
Transaction auxiliary decision-making support system and aid decision support method.
Background technique
Currently, by installation concentration degree height, dissolving space inside the province with the continuous increase of Chinese renewable energy installation scale
Insufficient, transregional conveyer mechanism is unsound, save between barrier is prominent etc. that factors influence, abandonment abandons that light, abandoning water (" three abandon "), problem is increasingly
Sternness has been paid high attention to.To promote renewable energy consumption, need on the basis of existing scheduling mechanism, in conjunction with power grid
Operation is practical, explores and utilizes marketized tools, gives full play to bulk power grid advantage, and it is horizontal to promote new energy consumption.The Northwest is
It is formal to carry out renewable energy transprovincially area sends spot exchange outside, Gansu, two province of Shanxi have sequentially activated the participation of new energy power supply
Spot exchange inside the province, realize renewable energy distributing rationally and dissolving in a wider context, and other subsequent provinces also will
It will start new energy power station and participate in spot exchange inside the province.
Each new energy power station needs to play an active part in power market transaction, and power market transaction can involve multi-exchange, than
Such as medium-term and long-term Bilateral contracts, concentration bid, spot exchange, ancillary service transaction.In power market transaction, as new energy
What electricity power enterprise can all participate in, but specifically how to participate in, it is different types of transaction how to be combined, how distribute production
Raw electricity etc. is required to carry out decision.In the state of the art, new energy power station medium and long-term transaction, spot exchange, across
It can be according to quotation, report amount also without relevant technical support, cause new energy power station to itself without technology in terms of area's spot exchange
Medium-term and long-term, long-term generating capacity forecasting inaccuracy is true, different types of transaction accounting, can competing electricity hold inaccurate, transaction value without
Foundation.Moreover, the workflow of power market transaction is lack of standardization at present, type of transaction is more, and timing node is more, and new energy power station needs
It manually to participate in time, considerably increase transaction cost.
Therefore, now it is badly in need of providing a kind of wind power plant electricity transaction auxiliary decision-making support system and aid decision supports method,
To solve the technical problems existing in the prior art.
Summary of the invention
In order to overcome the problems referred above or it at least is partially solved the above problem, the embodiment of the invention provides a kind of wind power plants
Electricity transaction auxiliary decision-making support system and aid decision support method.
In a first aspect, the embodiment of the invention provides a kind of wind power plant electricity transaction auxiliary decision-making support systems, comprising: area
Domain wind-resources data obtaining module, medium-term and long-term generated energy prediction module, Transaction Information import modul and aid decision module；
The region wind-resources data obtaining module is used to obtain the wind-resources information in predeterminable area, the medium-term and long-term hair
Power quantity predicting module is used to predict power generation of the predeterminable area in the first preset time period according to the wind-resources information
Measure information；
The Transaction Information import modul is used to import the electricity in the predeterminable area to the aid decision module and hand over
Easy information；
The aid decision module is used to be based on the generated energy information and the electricity Transaction Information, determines described default
Optimal report amount strategy of the region in first preset time period；The aid decision module is also used to based on the wind-resources
Information and the electricity Transaction Information, determine the optimal bidding strategy in the predeterminable area.
Second aspect, the embodiment of the invention provides a kind of wind power plant electricity transaction aid decisions to support method, comprising:
The wind-resources information in predeterminable area and the electricity Transaction Information in the predeterminable area are obtained, and according to described
Wind-resources information predicts generated energy information of the predeterminable area in the first preset time period；
Based on the generated energy information and the electricity Transaction Information, determine the predeterminable area when described first is default
Between optimal report amount strategy in section；And it is based on the wind-resources information and the electricity Transaction Information, determine the predeterminable area
Interior optimal bidding strategy.
The third aspect, the embodiment of the invention provides a kind of electronic equipment, comprising:
At least one processor, at least one processor, communication interface and bus；Wherein,
The processor, memory, communication interface complete mutual communication by the bus；
The memory is stored with the program instruction that can be executed by the processor, and the processor calls described program to refer to
It enables, supports method to execute the wind power plant electricity transaction aid decision of second aspect offer.
Fourth aspect, the embodiment of the invention provides a kind of non-transient computer readable storage medium, the non-transient meter
Calculation machine readable storage medium storing program for executing stores computer instruction, and the computer instruction makes the computer execute the wind that second aspect provides
Electric field transaction aid decision supports method.
A kind of wind power plant electricity transaction auxiliary decision-making support system provided in an embodiment of the present invention and aid decision support side
Method, the system comprises: region wind-resources data obtaining module, medium-term and long-term generated energy prediction module, Transaction Information import modul
With aid decision module.The wind power plant electricity transaction auxiliary decision-making support system provided in the embodiment of the present invention, it is contemplated that new energy
The intermittence of source wind power output and unstable row, long-term generated energy is predicted as starting point from new energy, in conjunction with market information, goes through
History deal message etc. really can go to consider to model, guarantee that power station is examined not more from the different angle of power station generator operation
In the case where, the generating capacity in power station is promoted, guarantees the more incomes in power station.
Detailed description of the invention
In order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, to embodiment or will show below
There is attached drawing needed in technical description to be briefly described, it should be apparent that, the accompanying drawings in the following description is this hair
Bright some embodiments for those of ordinary skill in the art without creative efforts, can be with root
Other attached drawings are obtained according to these attached drawings.
Fig. 1 is a kind of structural representation of wind power plant electricity transaction auxiliary decision-making support system provided in an embodiment of the present invention
Figure；
Fig. 2 is a kind of structural representation of wind power plant electricity transaction auxiliary decision-making support system provided in an embodiment of the present invention
Figure；
Fig. 3 is aid decision mould in a kind of wind power plant electricity transaction auxiliary decision-making support system provided in an embodiment of the present invention
Block determines the flow diagram of optimal stock report amount strategy；
Fig. 4 is aid decision mould in a kind of wind power plant electricity transaction auxiliary decision-making support system provided in an embodiment of the present invention
Block determines the flow diagram of optimal report amount strategy；
Fig. 5 is aid decision mould in a kind of wind power plant electricity transaction auxiliary decision-making support system provided in an embodiment of the present invention
Block determines the flow diagram of optimal bidding strategy；
Fig. 6 is the process signal that a kind of wind power plant electricity transaction aid decision provided in an embodiment of the present invention supports method
Figure；
Fig. 7 is the structural schematic diagram of a kind of electronic equipment provided in an embodiment of the present invention.
Specific embodiment
In order to make the object, technical scheme and advantages of the embodiment of the invention clearer, below in conjunction with the embodiment of the present invention
In attached drawing, technical scheme in the embodiment of the invention is clearly and completely described, it is clear that described embodiment is
A part of the embodiment of the present invention, instead of all the embodiments.Based on the embodiments of the present invention, those of ordinary skill in the art
Every other embodiment obtained without creative efforts, shall fall within the protection scope of the present invention.
In the description of the embodiment of the present invention, it should be noted that term " center ", "upper", "lower", "left", "right",
The orientation or positional relationship of the instructions such as "vertical", "horizontal", "inner", "outside" is to be based on the orientation or positional relationship shown in the drawings,
It is merely for convenience of the description embodiment of the present invention and simplifies description, rather than the device or element of indication or suggestion meaning must have
There is specific orientation, be constructed and operated in a specific orientation, therefore should not be understood as the limitation to the embodiment of the present invention.In addition,
Term " first ", " second ", " third " are used for descriptive purposes only and cannot be understood as indicating or suggesting relative importance.
As shown in Figure 1, the embodiment of the invention provides a kind of wind power plant electricity transaction auxiliary decision-making support systems, comprising:
Region wind-resources data obtaining module 11, medium-term and long-term generated energy prediction module 12, Transaction Information import modul 13 and aid decision
Module 14.
Region wind-resources data obtaining module 11 is used to obtain the wind-resources information in predeterminable area, and medium-term and long-term generated energy is pre-
Module 12 is surveyed to be used to predict generated energy information of the predeterminable area in the first preset time period according to wind-resources information.Transaction
Information import modul 13 is used for the electricity Transaction Information imported in predeterminable area to aid decision module 14.Aid decision module 14
For being based on generated energy information and electricity Transaction Information, optimal report amount plan of the predeterminable area in the first preset time period is determined
Slightly；Aid decision module 14 is also used to determine the optimum price quotation in predeterminable area based on wind-resources information and electricity Transaction Information
Strategy.
Specifically, the wind power plant electricity transaction auxiliary decision-making support system provided in the embodiment of the present invention, mainly to help
It is target that power station, which expands power generation batch sales and improves the market competitiveness, in predeterminable area, with high precision power prediction, generated energy
Prediction, Cost of electricity analysis, market prediction and quotation aid decision are core, to mass production, operation, marketing data
On the basis of information is effectively organized and controlled, advanced computer technology and power economy analysis method and decision point are utilized
Analyse model realization power station real-time dynamic cost analysis, for new energy wind power plant realize quotation suggest and declare program analysis,
The functions such as assessment, statistics.It is provided with wind power plant in predeterminable area, converts wind energy into electric energy, is stored and is sold by power station
It sells.Predeterminable area refers to the target area of wind power plant electricity transaction auxiliary decision-making support system effect.
The wind-resources information in predeterminable area is obtained by region wind-resources data obtaining module 11 in the embodiment of the present invention,
Wherein wind-resources information may include the air speed data in power station in predeterminable area, and other crucial meteorological elements relevant to wind speed
Data.Other crucial meteorological elements refer to the meteorological element that great influence is played to wind speed.
Predeterminable area is predicted in the first preset time by medium-term and long-term generated energy prediction module 12 in the embodiment of the present invention
Generated energy information in section.Medium and long-term transaction is the major way that new energy participates in electricity marketization transaction, and power station was at upper 1 year
The end of the year determines long association's electricity of next year, or the monthly centralized transaction at center of participating in business, so medium-term and long-term generated energy (year,
It is monthly) participate in business for power station it is most important.The first preset time period in the embodiment of the present invention refers to annual and monthly.This
Medium-term and long-term generated energy prediction module 12 predicts predeterminable area in the first preset time according to wind-resources information in inventive embodiments
Generated energy information in section.The method for specifically weather power being taken to combine with climatic statistics, generated energy for a long time is pre- in development
It surveys.Based on being climatic stratigraphy prediction result by the climatic model result of current main-stream meteorological institution, to following 1 year not same month
The atmospheric circulation form of part is predicted, and combines atmosphere low-frequency oscillation and distant correlation theory, to the wind speed in predeterminable area
And other crucial meteorological elements are forecast.Meanwhile different time scales are contained according to long-range meteorological or climatic time series
The feature of concussion, using statistical method, according to the time that other crucial meteorological elements are formed for many years in history in predeterminable area
Sequence generates the periodical basic function for embodying various time spans, and on the basis of basic function, to other passes of future period
The year variation and monthly variation of key meteorological element carry out modeling and forecasting.Finally, other passes that climatic model and statistical model are exported
2 kinds of prediction results of key meteorological element combine, and consider the variation of the history generated energy in predeterminable area, establish other keys
Relationship between meteorological element and generated energy finally predicts the annual electricity generating capacity of future period and moon generated energy.
When predicting generated energy information, the seasonal forecasting factor in Temperate Region in China is considered in the embodiment of the present invention, benefit
With distant related and atmospheric circulation low frequency variations feature, the distant relevant information of extra large gas activity is especially considered, such as EI Nino-south
Oscillation (ENSO), North Atlantic Oscillation (NAO) etc..Therefore, it can not only make multi-step prediction month by month, but also can preferably predict pole
Value.
It is imported in predeterminable area by Transaction Information import modul 13 to aid decision module 14 in the embodiment of the present invention
Electricity Transaction Information.Market information that electricity Transaction Information is announced mainly for trade center, history deal message, the market demand
Information and contract contract situation etc. are made aid decision for auxiliary decision-making module 14 and are supported.
Aid decision module 14 obtains wind-resources information, generated energy information and electricity Transaction Information in the embodiment of the present invention,
And generated energy information based on acquisition and electricity Transaction Information determine optimal report of the predeterminable area in the first preset time period
Amount strategy, and the wind-resources information based on acquisition and electricity Transaction Information determine the optimal bidding strategy in predeterminable area.
Optimal report amount strategy and optimal bidding strategy are determined, to instruct the Shen respectively traded for a long time in the progress of power station in predeterminable area
Report.
Wherein, when aid decision module 14 determines optimal bidding strategy, skill is mainly carried out according to the historical summary in market
The variation tendency of future market electricity price is predicted in the analysis of art, and prediction is the basis of decision.According to from power market transaction center
The information such as load prediction, history electricity price, the maintenance plan of acquisition and the historical summary of power station quotation, predict electricity price variation.
In conjunction with the characteristics of current new energy electric power market and maximum return, optimal bidding strategy is determined.Aid decision module 14 is true
It is main according to the generated energy prediction of new energy power station, history power output, maintenance situation, power prediction feelings when fixed optimal report amount strategy
Condition provides report amount decision support based on medium and long-term transaction, power energy allocation, and analyzes situation of Profit, determines optimal report amount plan
Slightly.
The wind power plant electricity transaction auxiliary decision-making support system provided in the embodiment of the present invention, it is contemplated that new energy wind-powered electricity generation goes out
The intermittence of power and unstable row, long-term generated energy is predicted as starting point from new energy, strikes a bargain and believes in conjunction with market information, history
Breath etc., can really from the different angle of power station generator operation go consider model, guarantee power station by more do not examined in the case where,
The generating capacity in power station is promoted, guarantees the more incomes in power station.
On the basis of the above embodiments, the wind power plant electricity transaction aid decision provided in the embodiment of the present invention supports system
System, further includes: power prediction module.
Power prediction module is used to predict the function in predeterminable area in the second preset time period according to wind-resources information
Rate data information.
Specifically, in the embodiment of the present invention, since new energy participates in power market transaction, the accuracy of power output prediction is wanted
Ask more stringent.Therefore the prediction power data information that power prediction module is realized in the embodiment of the present invention is a kind of high-precision function
Rate prediction, is mainly based upon the existing high-precision meteorological data in power station (i.e. wind-resources information), using high-precision power prediction
Algorithm predicts the following 96 hours short term predicted datas in power station and following 6 hours ultra-short term prediction data in predeterminable area,
The scheme in a few days to fill your offer with next day is declared for power station, and data supporting is provided.Second preset time period packet in the embodiment of the present invention
It includes following 96 hours and 6 hours following.
The high-precision power prediction algorithm used in the embodiment of the present invention is specifically as follows integrated simultaneously based on more meteorological sources
The wind power forecasting method of segmentation modeling is also possible to prediction side before the neural network wind power section based on Fuzzy divide theory
Method can also be the multiple-objection optimization new energy power forecasting method based on deep learning, not make in the embodiment of the present invention to this
It is specific to limit, it is also possible to other power prediction algorithms that can be improved power prediction precision.
On the basis of the above embodiments, the wind power plant electricity transaction aid decision provided in the embodiment of the present invention supports system
System, further includes: statistical analysis module, the statistical analysis module are used to obtain the reality in power station in wind power plant in the predeterminable area
Shi Fa electricity information；Correspondingly,
The aid decision module is also used to:
Based on the power data information and the real-time power generation information, determine the predeterminable area in third preset time
Optimal stock report amount decision in section.
Specifically, as shown in Fig. 2, the wind power plant electricity transaction auxiliary decision-making support system provided in the embodiment of the present invention also
It include: power prediction module 15 and statistical analysis module 16.
In the embodiment of the present invention, statistical analysis module 16 be mainly in predeterminable area in new energy wind power plant power station reality
Shi Fa electricity information is counted, and the information that generates electricity in real time can specifically include power generation data, electricity consumption data, transaction data, power grid tune
The data informations such as degree, itself production.
Aid decision module is also used to obtain power prediction module 15 and predicts obtained power data information and statistical analysis
The real-time power generation information that module 16 acquires, and power generation information determines predeterminable area the according to power data information and in real time
Optimal stock report amount decision in three preset time periods.Third preset time period refers in a few days or next day.Aid decision module master
If determining the spot message in the predeterminable area, and combine power data information according to real-time power generation information, determine default
Generating capacity of the region in third preset time period.Finally determine optimal stock report amount decision.
The wind power plant electricity transaction auxiliary decision-making support system provided in the embodiment of the present invention, during aid decision module is directed to
Long market, spot market use different report amount decision models, provide for power station report amount personnel from report amount schemes generation
It is the powerful of report amount personnel's carry out section journal amount decision to the decision support of report amount program analysis.
On the basis of the above embodiments, the wind power plant electricity transaction aid decision provided in the embodiment of the present invention supports system
System, the aid decision module are specifically used for:
Dealing of abnormal data, and the calculation method based on confidence interval are carried out to the real-time power generation information, determine described in
The corresponding generating capacity of difference confidence level in predeterminable area；
Obtain whole planning data a few days ago, and based on the corresponding generating capacity of confidence levels different in the predeterminable area, described
Whole planning data and the power data information a few days ago, determine power generation of the predeterminable area in the third preset time period
Ability；
Accuracy error examination analysis is carried out to generating capacity of the predeterminable area in the third preset time period, really
Fixed optimal stock report amount decision, and carry out stock and declare and income analysis.
Specifically, as shown in Figure 3, it is necessary first to obtain power generation information in real time, obtained real-time power generation information be carried out different
Regular data processing, rejecting abnormalities data, to search out the rule that power generation information follows in real time.It is then based on the calculating of confidence interval
Method determines the corresponding generating capacity of difference confidence level in predeterminable area.The corresponding confidence interval of each confidence level, different confidences
Spend the generated energy in the i.e. different confidence intervals of corresponding generating capacity.Secondly, obtain whole planning data and power number a few days ago it is believed that
Breath determines pre- according to the corresponding generating capacity of confidence levels different in predeterminable area, a few days ago whole planning data and power data information
If generating capacity of the region in third preset time period, that is, determine predeterminable area in a few days with the generating capacity of next day, also
It is the stock report amount information in a few days with next day.Finally, carrying out accuracy error with the generating capacity of next day in a few days to predeterminable area
Examination analysis, determines optimal stock report amount decision, and carries out stock and declare and income analysis.Wherein, acquisition is a few days ago whole
Planning data refers to the in a few days generated energy target value with next day, can be by being manually input in aid decision module.
On the basis of the above embodiments, the wind power plant electricity transaction aid decision provided in the embodiment of the present invention supports system
System, the aid decision module also particularly useful for:
Based on the generated energy information and the electricity Transaction Information, determine the predeterminable area when described first is default
Between revenue function in section；
Based on the revenue function, optimal report amount plan of the predeterminable area in first preset time period is determined
Slightly.
Specifically, as shown in figure 4, generated energy information and electricity Transaction Information are obtained first, then according to generated energy information
With electricity Transaction Information, revenue function of the predeterminable area in the first preset time period is determined, i.e., between income and generated energy
Relationship.It is last that optimal report amount strategy of the predeterminable area in the first preset time period is determined according to the revenue function determined,
Optimal report amount strategy is maximized the report amount determined for target with the income of revenue function.
On the basis of the above embodiments, the wind power plant electricity transaction aid decision provided in the embodiment of the present invention supports system
System, the aid decision module also particularly useful for:
Based on the wind-resources information and the electricity Transaction Information, the limit under different Marginal Pricing computation models is determined
Electricity price；
Based on the Marginal Pricing under different Marginal Pricing computation models, the optimum price quotation plan in the predeterminable area is determined
Slightly.
Specifically, as shown in figure 5, wind-resources information and electricity Transaction Information are obtained first, then according to wind-resources information
With electricity Transaction Information, the Marginal Pricing under different Marginal Pricing computation models is determined.Different Marginal Pricing computation models refer to
Marginal Pricing computation model be applicable in different time sections, for predicting Marginal Pricing, may particularly include: limit electricity in real time
Valence computation model, medium-term and long-term average Marginal Pricing computation model, in a few days with next day Marginal Pricing computation model etc..For example, can root
According to system loading prediction, the information such as history electricity price, maintenance plan and the power station quotation obtained from power market transaction center
Historical summary, determine respectively real-time Marginal Pricing computation model, medium-term and long-term average Marginal Pricing computation model, in a few days with next day side
Border electricity price computation model, to predict real-time Marginal Pricing, medium-term and long-term average Marginal Pricing, in a few days or next day limit electricity respectively
Valence.
Finally, being determined in predeterminable area according to the Marginal Pricing under different Marginal Pricing computation models in different time sections
Interior optimal bidding strategy.The embodiment of the present invention combine current China's new energy electric power market the characteristics of, for Long-term Market,
Spot market uses different Marginal Pricing computation models and different optimal bidding strategies, and for power station, quotation personnel are provided
It is the powerful that quotation personnel carry out science decision from quotation schemes generation to the decision support of quotation program analysis.
Electricity transaction aid decision in the embodiment of the present invention based on high-precision power prediction and the prediction of medium-term and long-term generated energy
The characteristic of support system combination new energy power output is capable of the power output of Accurate Prediction new energy, and combines marketing data, production
Data realize the real-time dynamic of power station using advanced computer technology and power economy analysis method and decision analytic model
Cost analysis realizes that the functions such as program analysis, assessment, statistics are suggested and declared in quotation for new energy wind power plant, promotes power station and receive
Benefit.
As shown in fig. 6, providing a kind of wind power plant electricity transaction on the basis of the above embodiments, in the embodiment of the present invention
Aid decision supports method, comprising:
S1, obtain predeterminable area in wind-resources information and the electricity Transaction Information in the predeterminable area, and according to
The wind-resources information predicts generated energy information of the predeterminable area in the first preset time period；
S2 is based on the generated energy information and the electricity Transaction Information, determines that the predeterminable area is pre- described first
If the optimal report amount strategy in the period；And it is based on the wind-resources information and the electricity Transaction Information, it determines described default
Optimal bidding strategy in region.
Specifically, the wind power plant electricity transaction aid decision provided in the embodiment of the present invention supports method, mainly to help
It is target that power station, which expands power generation batch sales and improves the market competitiveness, in predeterminable area, with high precision power prediction, generated energy
Prediction, Cost of electricity analysis, market prediction and quotation aid decision are core, to mass production, operation, marketing data
On the basis of information is effectively organized and controlled, advanced computer technology and power economy analysis method and decision point are utilized
Analyse model realization power station real-time dynamic cost analysis, for new energy wind power plant realize quotation suggest and declare program analysis,
The functions such as assessment, statistics.It is provided with wind power plant in predeterminable area, converts wind energy into electric energy, is stored and is sold by power station
It sells.Predeterminable area refers to the target area of wind power plant electricity transaction auxiliary decision-making support system effect.
In the wind power plant electricity transaction aid decision support method provided in the embodiment of the present invention, predeterminable area is obtained first
Electricity Transaction Information in interior wind-resources information and predeterminable area.Wherein wind-resources information may include power station in predeterminable area
Air speed data, and other crucial meteorological element data relevant to wind speed.Other crucial meteorological elements, which refer to, plays wind speed
The meteorological element of great influence.Market information that electricity Transaction Information is announced mainly for trade center, history deal message, city
Field demand information and contract contract situation etc., support for the subsequent corresponding strategy that provides.Then according to wind-resources information, specifically
The method for taking weather power to combine with climatic statistics, the prediction of long-term generated energy in development predict predeterminable area the
Generated energy information in one preset time period.The first preset time period in the embodiment of the present invention refers to annual and monthly.
According to information and power stations such as load prediction, history electricity price, the maintenance plans obtained from power market transaction center
The historical summary of quotation predicts electricity price variation.In conjunction with the characteristics of current new energy electric power market and maximum return, determine
Optimal bidding strategy out.
According to the generated energy prediction of new energy power station, history power output, maintenance situation, power prediction situation, provide in being based on
The report amount decision support of long-term trade, power energy allocation, and situation of Profit is analyzed, determine optimal report amount strategy.
The wind power plant electricity transaction aid decision provided in the embodiment of the present invention supports method, it is contemplated that new energy wind-powered electricity generation goes out
The intermittence of power and unstable row, long-term generated energy is predicted as starting point from new energy, strikes a bargain and believes in conjunction with market information, history
Breath etc., can really from the different angle of power station generator operation go consider model, guarantee power station by more do not examined in the case where,
The generating capacity in power station is promoted, guarantees the more incomes in power station.
On the basis of the above embodiments, the wind power plant electricity transaction aid decision support side provided in the embodiment of the present invention
Method, further includes:
Go out the power number in the predeterminable area in the second preset time period according to the wind-resources information prediction it is believed that
Breath, and obtain in the predeterminable area real-time power generation information of the power station in third preset time period in wind power plant；
Based on the power data information and the real-time power generation information, determine the predeterminable area in third preset time
Optimal stock report amount decision in section.
On the basis of the above embodiments, the wind power plant electricity transaction aid decision support side provided in the embodiment of the present invention
Method, it is described to be based on the generated energy information and the electricity Transaction Information, determine the predeterminable area when described first is default
Between optimal report amount strategy in section, specifically include:
Based on the generated energy information and the electricity Transaction Information, determine the predeterminable area when described first is default
Between revenue function in section；
Based on the revenue function, optimal report amount plan of the predeterminable area in first preset time period is determined
Slightly.
On the basis of the above embodiments, the wind power plant electricity transaction aid decision support side provided in the embodiment of the present invention
Method, it is described to be based on the wind-resources information and the electricity Transaction Information, determine the optimal bidding strategy in the predeterminable area,
It specifically includes:
Based on the wind-resources information and the electricity Transaction Information, the limit under different Marginal Pricing computation models is determined
Electricity price；
Based on the Marginal Pricing under different Marginal Pricing computation models, the optimum price quotation plan in the predeterminable area is determined
Slightly.
On the basis of the above embodiments, the embodiment of the invention also provides a kind of electronic equipment, as shown in fig. 7, electronics
Equipment includes: processor (processor) 701, memory (memory) 702, communication interface (Communications
Interface) 703 and bus 704；Wherein,
The processor 701, memory 702, communication interface 703 complete mutual communication by bus 704.It is described to deposit
Reservoir 702 is stored with the program instruction that can be executed by the processor 701, and processor 701 is used to call the journey in memory 702
Sequence instruction supports method to execute wind power plant electricity transaction aid decision provided by above-mentioned each method embodiment, for example,
S1 obtains the wind-resources information in predeterminable area and the electricity Transaction Information in the predeterminable area, and is provided according to the wind
Source information predicts generated energy information of the predeterminable area in the first preset time period；S2 is based on the generated energy information
With the electricity Transaction Information, optimal report amount strategy of the predeterminable area in first preset time period is determined；And base
In the wind-resources information and the electricity Transaction Information, the optimal bidding strategy in the predeterminable area is determined.
Logical order in memory 702 can be realized by way of SFU software functional unit and as independent product pin
It sells or in use, can store in a computer readable storage medium.Based on this understanding, technical side of the invention
Substantially the part of the part that contributes to existing technology or the technical solution can be with the shape of software product in other words for case
Formula embodies, which is stored in a storage medium, including some instructions are used so that a calculating
Machine equipment (can be personal computer, server or the network equipment etc.) executes each embodiment the method for the present invention
All or part of the steps.And storage medium above-mentioned include: USB flash disk, mobile hard disk, read-only memory (Read-Only Memory,
ROM), random access memory (Random Access Memory, RAM), magnetic or disk etc. are various can store program
The medium of code.
On the basis of the above embodiments, the embodiment of the invention also provides a kind of non-transient computer readable storage mediums
Matter, the non-transient computer readable storage medium store computer instruction, and the computer instruction executes the computer
Wind power plant electricity transaction aid decision provided by above-mentioned each method embodiment supports method, for example, S1 obtains preset areas
The electricity Transaction Information in wind-resources information and the predeterminable area in domain, and according to the wind-resources information, it predicts
Generated energy information of the predeterminable area in the first preset time period；S2 is handed over based on the generated energy information and the electricity
Easy information determines optimal report amount strategy of the predeterminable area in first preset time period；And it is based on the wind-resources
Information and the electricity Transaction Information, determine the optimal bidding strategy in the predeterminable area.
The apparatus embodiments described above are merely exemplary, wherein described, unit can as illustrated by the separation member
It is physically separated with being or may not be, component shown as a unit may or may not be physics list
Member, it can it is in one place, or may be distributed over multiple network units.It can be selected according to the actual needs
In some or all of the modules achieve the purpose of the solution of this embodiment.Those of ordinary skill in the art are not paying creativeness
Labour in the case where, it can understand and implement.
Through the above description of the embodiments, those skilled in the art can be understood that each embodiment can
It realizes by means of software and necessary general hardware platform, naturally it is also possible to pass through hardware.Based on this understanding, on
Stating technical solution, substantially the part that contributes to existing technology can be embodied in the form of software products in other words, should
Computer software product may be stored in a computer readable storage medium, such as ROM/RAM, magnetic disk, CD, including several fingers
It enables and using so that a computer equipment (can be personal computer, server or the network equipment etc.) executes each implementation
Method described in certain parts of example or embodiment.
Finally, it should be noted that the above embodiments are merely illustrative of the technical solutions of the present invention, rather than its limitations；Although
Present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that: it still may be used
To modify the technical solutions described in the foregoing embodiments or equivalent replacement of some of the technical features；
And these are modified or replaceed, technical solution of various embodiments of the present invention that it does not separate the essence of the corresponding technical solution spirit and
Range.
Claims (10)
1. a kind of wind power plant electricity transaction auxiliary decision-making support system characterized by comprising region wind-resources acquisition of information mould
Block, medium-term and long-term generated energy prediction module, Transaction Information import modul and aid decision module；
The region wind-resources data obtaining module is used to obtain the wind-resources information in predeterminable area, the medium-term and long-term generated energy
Prediction module is used to predict generated energy letter of the predeterminable area in the first preset time period according to the wind-resources information
Breath；
The Transaction Information import modul is used to import the transaction letter of the electricity in the predeterminable area to the aid decision module
Breath；
The aid decision module is used to be based on the generated energy information and the electricity Transaction Information, determines the predeterminable area
Optimal report amount strategy in first preset time period；The aid decision module is also used to based on the wind-resources information
With the electricity Transaction Information, the optimal bidding strategy in the predeterminable area is determined.
2. wind power plant electricity transaction auxiliary decision-making support system according to claim 1, which is characterized in that further include: function
Rate prediction module；
The power prediction module is used to be predicted in the predeterminable area according to the wind-resources information in the second preset time
Power data information in section.
3. wind power plant electricity transaction auxiliary decision-making support system according to claim 2, which is characterized in that further include: system
Count analysis module；
The statistical analysis module is used to obtain the real-time power generation information in power station in wind power plant in the predeterminable area；Correspondingly,
The aid decision module is also used to:
Based on the power data information and the real-time power generation information, determine the predeterminable area in third preset time period
Optimal stock report amount decision.
4. wind power plant electricity transaction auxiliary decision-making support system according to claim 3, which is characterized in that the auxiliary is determined
Plan module is specifically used for:
Dealing of abnormal data, and the calculation method based on confidence interval are carried out to the real-time power generation information, determined described default
The corresponding generating capacity of difference confidence level in region；
Obtain whole planning data a few days ago, and based on the corresponding generating capacity of confidence levels different in the predeterminable area, it is described a few days ago
Whole planning data and the power data information determine power generation energy of the predeterminable area in the third preset time period
Power；
Accuracy error examination analysis is carried out to generating capacity of the predeterminable area in the third preset time period, is determined most
Excellent stock report amount decision, and carry out stock and declare and income analysis.
5. wind power plant electricity transaction auxiliary decision-making support system described in any one of -4 according to claim 1, which is characterized in that
The aid decision module also particularly useful for:
Based on the generated energy information and the electricity Transaction Information, determine the predeterminable area in first preset time period
Interior revenue function；
Based on the revenue function, optimal report amount strategy of the predeterminable area in first preset time period is determined.
6. wind power plant electricity transaction auxiliary decision-making support system described in any one of -4 according to claim 1, which is characterized in that
The aid decision module also particularly useful for:
Based on the wind-resources information and the electricity Transaction Information, the limit electricity under different Marginal Pricing computation models is determined
Valence；
Based on the Marginal Pricing under different Marginal Pricing computation models, the optimal bidding strategy in the predeterminable area is determined.
7. a kind of wind power plant electricity transaction aid decision supports method characterized by comprising
The wind-resources information in predeterminable area and the electricity Transaction Information in the predeterminable area are obtained, and is provided according to the wind
Source information predicts generated energy information of the predeterminable area in the first preset time period；
Based on the generated energy information and the electricity Transaction Information, determine the predeterminable area in first preset time period
Interior optimal report amount strategy；And it is based on the wind-resources information and the electricity Transaction Information, it determines in the predeterminable area
Optimal bidding strategy.
8. wind power plant electricity transaction aid decision according to claim 7 supports method, which is characterized in that further include:
Go out the power data information in the predeterminable area in the second preset time period according to the wind-resources information prediction, and
Obtain in the predeterminable area real-time power generation information of the power station in third preset time period in wind power plant；
Based on the power data information and the real-time power generation information, determine the predeterminable area in third preset time period
Optimal stock report amount decision.
9. a kind of electronic equipment characterized by comprising
At least one processor, at least one processor, communication interface and bus；Wherein,
The processor, memory, communication interface complete mutual communication by the bus；
The memory is stored with the program instruction that can be executed by the processor, and the processor calls described program instruction,
Method is supported to execute wind power plant electricity transaction aid decision as claimed in claim 7 or 8.
10. a kind of non-transient computer readable storage medium, which is characterized in that the non-transient computer readable storage medium is deposited
Computer instruction is stored up, the computer instruction makes the computer execute wind power plant electricity transaction as claimed in claim 7 or 8
Aid decision supports method.
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Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111598719A (en) * | 2020-04-09 | 2020-08-28 | 云南电网有限责任公司 | New energy seller transaction method and system for spot power market |
| CN111738854A (en) * | 2020-06-22 | 2020-10-02 | 国能日新科技股份有限公司 | New energy spot transaction decision-making data service system based on cloud computing |
| CN111860941A (en) * | 2020-06-03 | 2020-10-30 | 贵州乌江水电开发有限责任公司 | Method and device for optimizing electric power big data intelligent decision platform |
| CN112381274A (en) * | 2020-11-02 | 2021-02-19 | 国电南瑞南京控制系统有限公司 | Tradable energy control method and system based on intelligent contract and aid decision |
| CN113221167A (en) * | 2021-05-11 | 2021-08-06 | 支付宝(杭州)信息技术有限公司 | Data processing method, device, equipment and storage medium based on block chain storage certificate |
| 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 |
| CN115641175A (en) * | 2022-12-26 | 2023-01-24 | 国能日新科技股份有限公司 | Medium-and-long-term power transaction assistant decision-making determination method and device for new energy power station |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105184391A (en) * | 2015-08-19 | 2015-12-23 | 国网山东省电力公司电力科学研究院 | Method for predicting wind speed and power of wind farm based on wavelet decomposition and support vector machine |
| CN108520315A (en) * | 2018-03-23 | 2018-09-11 | 国电南瑞科技股份有限公司 | The electric network active real-time control method of meter and medium and long-term transaction and spot exchange constraint |
| CN108921601A (en) * | 2018-06-20 | 2018-11-30 | 浙江大学 | A kind of power spot market auxiliary method of commerce neural network based |
| US20180365746A1 (en) * | 2017-02-15 | 2018-12-20 | Xendee Corporation | Cloud computing smart solar configurator |
-
2019
- 2019-01-16 CN CN201910038904.6A patent/CN109858783B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105184391A (en) * | 2015-08-19 | 2015-12-23 | 国网山东省电力公司电力科学研究院 | Method for predicting wind speed and power of wind farm based on wavelet decomposition and support vector machine |
| US20180365746A1 (en) * | 2017-02-15 | 2018-12-20 | Xendee Corporation | Cloud computing smart solar configurator |
| CN108520315A (en) * | 2018-03-23 | 2018-09-11 | 国电南瑞科技股份有限公司 | The electric network active real-time control method of meter and medium and long-term transaction and spot exchange constraint |
| CN108921601A (en) * | 2018-06-20 | 2018-11-30 | 浙江大学 | A kind of power spot market auxiliary method of commerce neural network based |
Non-Patent Citations (2)
| Title |
|---|
| J. MA AND X. MA: "State-of-the-art forecasting algorithms for microgrids", 《2017 23RD INTERNATIONAL CONFERENCE ON AUTOMATION AND COMPUTING》 * |
| 林爱兰，梁建茵，李春晖: "南海夏季风对流季节内振荡的频谱变化特征", 《热带气象学报》 * |
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111598719A (en) * | 2020-04-09 | 2020-08-28 | 云南电网有限责任公司 | New energy seller transaction method and system for spot power market |
| CN111860941A (en) * | 2020-06-03 | 2020-10-30 | 贵州乌江水电开发有限责任公司 | Method and device for optimizing electric power big data intelligent decision platform |
| CN111738854A (en) * | 2020-06-22 | 2020-10-02 | 国能日新科技股份有限公司 | New energy spot transaction decision-making data service system based on cloud computing |
| CN112381274A (en) * | 2020-11-02 | 2021-02-19 | 国电南瑞南京控制系统有限公司 | Tradable energy control method and system based on intelligent contract and aid decision |
| CN113221167A (en) * | 2021-05-11 | 2021-08-06 | 支付宝(杭州)信息技术有限公司 | Data processing method, device, equipment and storage medium based on block chain storage certificate |
| 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 |
| CN115641175A (en) * | 2022-12-26 | 2023-01-24 | 国能日新科技股份有限公司 | Medium-and-long-term power transaction assistant decision-making determination method and device for new energy power station |
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