CN110245904A - A kind of the handling of scrapped goods and materials method and relevant apparatus in comprehensive energy market - Google Patents

A kind of the handling of scrapped goods and materials method and relevant apparatus in comprehensive energy market Download PDF

Info

Publication number
CN110245904A
CN110245904A CN201910555020.8A CN201910555020A CN110245904A CN 110245904 A CN110245904 A CN 110245904A CN 201910555020 A CN201910555020 A CN 201910555020A CN 110245904 A CN110245904 A CN 110245904A
Authority
CN
China
Prior art keywords
goods
materials
uncontrollable
calculated
comprehensive energy
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN201910555020.8A
Other languages
Chinese (zh)
Other versions
CN110245904B (en
Inventor
李鹏
郭祚刚
雷金勇
袁智勇
马溪原
陈柔伊
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
China Southern Power Grid Co Ltd
Research Institute of Southern Power Grid Co Ltd
Original Assignee
China Southern Power Grid Co Ltd
Research Institute of Southern Power Grid Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by China Southern Power Grid Co Ltd, Research Institute of Southern Power Grid Co Ltd filed Critical China Southern Power Grid Co Ltd
Priority to CN201910555020.8A priority Critical patent/CN110245904B/en
Publication of CN110245904A publication Critical patent/CN110245904A/en
Application granted granted Critical
Publication of CN110245904B publication Critical patent/CN110245904B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/08Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
    • G06Q10/087Inventory or stock management, e.g. order filling, procurement or balancing against orders
    • G06Q10/0875Itemisation or classification of parts, supplies or services, e.g. bill of materials
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/06Energy or water supply
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y04INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04SSYSTEMS 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
    • Y04S10/00Systems supporting electrical power generation, transmission or distribution
    • Y04S10/50Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications

Landscapes

  • Business, Economics & Management (AREA)
  • Economics (AREA)
  • Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Tourism & Hospitality (AREA)
  • Health & Medical Sciences (AREA)
  • Theoretical Computer Science (AREA)
  • Human Resources & Organizations (AREA)
  • Marketing (AREA)
  • General Business, Economics & Management (AREA)
  • Physics & Mathematics (AREA)
  • Strategic Management (AREA)
  • Development Economics (AREA)
  • Quality & Reliability (AREA)
  • Operations Research (AREA)
  • Accounting & Taxation (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Finance (AREA)
  • Public Health (AREA)
  • Water Supply & Treatment (AREA)
  • General Health & Medical Sciences (AREA)
  • Primary Health Care (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

This application discloses a kind of handling of scrapped goods and materials methods in comprehensive energy market, compared with prior art, the value of uncontrollable factor is calculated the application in a manner of stochastic variable, so that based on this calculated goods and materials output quantity and material requirements quantity closer in unpredictable actual quantity.Although there is also certain rules, excessively complicated actual conditions to cause the rule excessively obscure for the variation of these uncontrollable factor values.It generally requires to carry out complicated calculating to collected historical data for a long time, is likely to obtain the value when variation tendency is constant.But variation tendency can also change, therefore the value of these uncontrollable factors is more suitable for indicating using unpredictable stochastic variable.This programme can make to a certain extent calculated result closer with actual result, and then reduce economic loss.The application further simultaneously discloses handling of scrapped goods and materials device, electronic equipment and the computer readable storage medium in a kind of comprehensive energy market, has above-mentioned beneficial effect.

Description

A kind of the handling of scrapped goods and materials method and relevant apparatus in comprehensive energy market
Technical field
This application involves handling of scrapped goods and materials technical field, in particular to a kind of handling of scrapped goods and materials method in comprehensive energy market, dress It sets, electronic equipment and computer readable storage medium.
Background technique
In the material markets such as the energy, goods and materials service provider sells market in bulk materials and carries out bulk buying, and to its institute Service user sells scattered goods and materials to obtain profit.But it is influenced by numerous uncontrollable factors, the daily required goods and materials of user Quantity is not fixed and invariable, it is difficult to obtain accurate material requirements quantity.
Some goods and materials service providers are also not the profiteerings of pure progress goods and materials, its own often also has certain goods and materials Output capacity.By taking energy services quotient as an example, some energy services quotient itself, which build, some generating sets, such as thermal power generation, Water generating or photovoltaic power generation unit etc., the electric power output capacity itself having can make it sell market purchasing institute in the energy It needs to reduce departmental cost when the energy.
By taking energy services quotient as an example, it is assumed that it is with certain photovoltaic power generation ability, but since photovoltaic power generation ability is by outer The influence of boundary's intensity of illumination, so that the generated energy of the daily photovoltaic power generation of energy services quotient is uncontrollable.Meanwhile by uncontrollable The influence of user's subjective consciousness, the daily required amount of energy of the serviced user of energy services quotient is also uncontrollable.Therefore such as In the case where where there are many uncontrollable factors, reasonable procurement plan is formulated as far as possible, is that energy services quotient is extremely closed The heart.
In the prior art, the mode that the goods and materials service provider including energy services quotient is often based upon each influence factor is formulated The calculation formula of goods and materials output quantity and material requirements quantity can be calculated.For include in formula it is uncontrollable because Element, the prior art are often directly based upon historical data and a fixed value are calculated or directlys adopt history contemporaneous data, make It obtains the procurement plan formulated in this manner often and actual conditions has biggish deviation, cause economic loss.
Therefore, how to overcome prior art defect as far as possible, provide it is a kind of with actual conditions as far as possible close to scheme, It is those skilled in the art's urgent problem to be solved.
Summary of the invention
The purpose of the application is to provide handling of scrapped goods and materials method, apparatus, electronic equipment and the calculating in a kind of comprehensive energy market Machine readable storage medium storing program for executing, it is intended to avoid as far as possible because the prior art directly using fixed value or history with time value as it is uncontrollable because The value of element, cause the calculated result obtained based on this and actual conditions have differences it is larger and the problem of cause economic loss.
To achieve the above object, the application provides a kind of handling of scrapped goods and materials method in comprehensive energy market, is applied to comprehensive energy Source service provider, the handling of scrapped goods and materials method include:
The goods and materials output quantity of itself next day is calculated;Wherein, the goods and materials of itself output be divided into controllable quantity goods and materials and The uncontrollable goods and materials of quantity, the goods and materials output quantity of the uncontrollable goods and materials of quantity be by uncontrollable factor in a manner of stochastic variable It is calculated;
The material requirements quantity of user's next day is calculated;Wherein, the material requirements quantity is uncontrollable, the object Providing quantity required is that uncontrollable factor is calculated in a manner of stochastic variable;
The buying number of the goods and materials in ahead market is calculated according to the material requirements quantity of next day and goods and materials output quantity Amount;
According to the difference between the goods and materials actual demand quantity and the material requirements quantity on the day of next day, adopted in spot market It purchases the part goods and materials lacked and sells extra part goods and materials.
Optionally, when goods and materials include electric power and natural gas, the uncontrollable factor includes photovoltaic power generation unit in next day Electric power output quantity, amount of energy needed for user's next day and natural gas quantity.
Optionally, the stochastic variable is specially the stochastic variable of Normal Distribution.
Optionally, the handling of scrapped goods and materials method further include:
The numerical values recited of the stochastic variable is corrected using prediction model;Wherein, the prediction model is same based on history What the variation tendency of the actual value combination different times of phase constructed.
To achieve the above object, present invention also provides a kind of handling of scrapped goods and materials devices in comprehensive energy market, are applied to comprehensive Energy services quotient is closed, which includes:
Produce output quantity computing unit, for the goods and materials output quantity of itself next day to be calculated;Wherein, itself output Goods and materials be divided into controllable quantity goods and materials and the uncontrollable goods and materials of quantity, the goods and materials output quantity of the uncontrollable goods and materials of quantity is will not What controllable factor was calculated in a manner of stochastic variable;
Material requirements amount calculation unit, for the material requirements quantity of user's next day to be calculated;Wherein, the goods and materials Quantity required be it is uncontrollable, the material requirements quantity is that uncontrollable factor is calculated in a manner of stochastic variable;
Ahead market purchase quantity computing unit, for being calculated according to the material requirements quantity and goods and materials output quantity of next day Obtain the purchase quantity of the goods and materials in ahead market;
Spot market difference processing unit, for according to the goods and materials actual demand quantity and the material requirements on the day of next day Difference between quantity, the part goods and materials and sell extra part goods and materials that buying lacks in spot market.
Optionally, the handling of scrapped goods and materials device further include:
Stochastic variable value revision unit, for correcting the numerical values recited of the stochastic variable using prediction model;Wherein, The prediction model is that the variation tendency of the actual value combination different times based on the history same period constructs.
To achieve the above object, present invention also provides a kind of electronic equipment, which includes:
Memory, for storing computer program;
Processor realizes that being applied to comprehensive energy as described in above content takes when for executing the computer program The handling of scrapped goods and materials method in the comprehensive energy market of business quotient.
To achieve the above object, described computer-readable to deposit present invention also provides a kind of computer readable storage medium It is stored with computer program on storage media, realizes when the computer program is executed by processor and is answered as described in above content The handling of scrapped goods and materials method in the comprehensive energy market for comprehensive energy service provider.
It can according to the handling of scrapped goods and materials method in the comprehensive energy market applied to comprehensive energy service provider provided herein To find out, compared with the prior art, the value of uncontrollable factor is calculated the application in a manner of stochastic variable, so that base The goods and materials output quantity and material requirements quantity being calculated in this are more close to unpredictable actual quantity.Although these The variation of the value of uncontrollable factor there are in fact certain rule, but since excessively complicated actual conditions lead to the rule It is excessively obscure, it is difficult to be embodied, various conclusions are often carried out on the basis of long-time historical data may ability Obtain the value in the case where variation tendency is constant.But since variation tendency can't be unalterable, these it is controllable because The value of element is more suitable for directly same unpredictable random number to substitute, to fully demonstrate its unpredictable characteristic.Using This programme can make to a certain extent calculated result closer with actual result, and then reduce economic loss.
The application additionally provides a kind of handling of scrapped goods and materials dress in comprehensive energy market applied to comprehensive energy service provider simultaneously It sets, electronic equipment and computer readable storage medium, there is above-mentioned beneficial effect, details are not described herein.
Detailed description of the invention
In order to illustrate the technical solutions in the embodiments of the present application or in the prior art more clearly, 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 only this The embodiment of application for those of ordinary skill in the art without creative efforts, can also basis The attached drawing of offer obtains other attached drawings.
Fig. 1 is a kind of flow chart of the handling of scrapped goods and materials method in comprehensive energy market provided by the embodiments of the present application;
Fig. 2 is a kind of structural block diagram of the handling of scrapped goods and materials device in comprehensive energy market provided by the embodiments of the present application.
Specific embodiment
The purpose of the application is to provide handling of scrapped goods and materials method, apparatus, electronic equipment and the calculating in a kind of comprehensive energy market Machine readable storage medium storing program for executing is applied to comprehensive energy service provider, it is intended to avoid as far as possible because the prior art directly with fixed value or Value of the history with time value as uncontrollable factor causes the calculated result obtained based on this to have differences with actual conditions larger And the problem of causing economic loss.
To keep the purposes, technical schemes and advantages of the embodiment of the present application clearer, below in conjunction with the embodiment of the present application In attached drawing, the technical scheme in the embodiment of the application is clearly and completely described, it is clear that described embodiment is Some embodiments of the present application, instead of all the embodiments.Based on the embodiment in the application, those of ordinary skill in the art All other embodiment obtained without making creative work, shall fall in the protection scope of this application.
Embodiment one
Referring to Figure 1, Fig. 1 is a kind of process of the handling of scrapped goods and materials method in comprehensive energy market provided by the embodiments of the present application Figure comprising following steps, it should be noted that the executing subject of following steps is comprehensive energy service provider:
S101: the goods and materials output quantity of itself next day is calculated;
Wherein, the goods and materials of itself output are divided into controllable quantity goods and materials and the uncontrollable goods and materials of quantity, the uncontrollable goods and materials of quantity Goods and materials output quantity is that uncontrollable factor is calculated in a manner of stochastic variable.
Energy services quotient can voluntarily output some electrical power according to owned generating equipment, it is assumed that wherein includes firepower Generating set and photovoltaic power generation unit, then wherein the secondary daily generation of thermal power generation unit be exactly controllable quantity goods and materials (substantially not Influenced by the external world), the secondary daily generation of photovoltaic power generation unit is exactly the uncontrollable goods and materials of quantity.This is because photovoltaic power generation and next day Weather, intensity of illumination, there are biggish relationships between the various uncontrollable factors such as whether have unexpected shelter.
Further, as these above-mentioned uncontrollable factors can not be predicted in advance substantially, but have some or can be one Determine to know in advance in degree, such as weather, can be used directly and predict for the parameter for some effects factor that anticipated that It is worth, or corrects the stochastic variable of bad student using the value predicted, so that be calculated based on revised stochastic variable It is closer with the actual output quantity on the day of next day.
S102: the material requirements quantity of user's next day is calculated;
Wherein, material requirements quantity is uncontrollable, and material requirements quantity is by uncontrollable factor with the side of stochastic variable What formula was calculated.
It is assumed that energy services quotient for its user provides electric power and natural gas two kinds of energy simultaneously, then due to people this vulnerable to The presence for the factor that various aspects influence, so that next day electric power and Natural Gas Demand can not also be predicted.The factor being directed to is excessive, Such as some marketing policys of local or associated mechanisms publication, promotion sell, temporarily from etc., can all make the goods and materials of user's next day Quantity required is unpredictable.In this example, the demand of demand and natural gas quantity of user's next day to amount of energy all belongs to In uncontrollable factor, therefore the application is also that it is participated in the calculating process into material requirements quantity in a manner of stochastic variable.
It should be noted that the mode or algorithm of generating random variable have very much, it is contemplated that the absolute of numerical value may be used also at random It can bring worse compared to the prior art as a result, therefore it is also an option that the stochastic variable choosing of suitable the application application scenarios Mode is taken, by test of many times, one of proper mode is the stochastic variable of selection Normal Distribution, that is to say, Stochastic variable is Normal Distribution.
The curve of normal distribution is in bell: both ends are low, and intermediate high, symmetrically because its curve is bell-like, therefore people are again It is often referred to as bell curve.Normal distribution is one to be obtained based on statistics and Probability to precompensation parameter value range very Good mode, why further limiting the stochastic variable of selection herein is Normal Distribution, also in that above-mentioned more In kind of uncontrollable factor, occur mutually than before or the probability of history same period value be related to increasing for factor quantity and gradually under Drop, therefore more appropriate value can be calculated based on Probability, and in this, as stochastic variable.
Further, it in order to enable the value size for the stochastic variable chosen is more suitable, can also be obtained from multiple channel The various events or message impacted to uncontrollable factor are taken, and are abstracted as weight or correction factor comes to stochastic variable Value size be modified, the actual value on the day of making finally obtained stochastic variable and next day is more nearly.
S103: adopting in ahead market goods and materials is calculated according to the material requirements quantity of next day and goods and materials output quantity Purchase quantity;
On the basis of S101 and S102, this step is intended to material requirements quantity and goods and materials output quantity according to next day The purchase quantity that service provider needs the goods and materials in ahead market is calculated in difference.Certainly, the mode of fortuitous event in order to prevent is led to It can also often increase that some redundancies are spare on the basis of the difference being calculated, using final quantity as purchase quantity.
S104: according to the difference between the goods and materials actual demand quantity on the day of next day and material requirements quantity, in spot market It purchases the part goods and materials lacked and sells extra part goods and materials.
On the basis of S103, this step is intended to be obtained by comparing according to the goods and materials actual demand quantity on the day of next day Difference between the material requirements quantity being calculated with S102, this part variation can not be resolved by ahead market, therefore It is only solved by spot market, including purchasing the part goods and materials lacked and selling extra part goods and materials.
Based on the above-mentioned technical proposal as can be seen that compared with the prior art, the application by the value of uncontrollable factor with The mode of machine variable obtains so that the goods and materials output quantity and material requirements quantity that are calculated more be close to it is unpredictable Actual quantity.Although the variation of the value of these uncontrollable factors there are in fact certain rule, due to excessively complicated Actual conditions cause the rule excessively obscure, be difficult to be embodied.It is carried out on the basis of long-time historical data multi-party The conclusion in face can may just obtain the value in the case where variation tendency is constant, but variation tendency can't be unalterable.? The value of these controllable factors is more like unpredictable random number in a short time, can make to a certain extent using this programme Calculated result is closer with actual result, reduces economic loss.
Further, the above process can be abstracted as the Profit and loss function for calculating current energy services quotient (i.e. according to calculating The positive and negative judgement for the result come is loss or profit), it, can be indirect by the comparison of Profit and loss function output valve in Probability The whether accurate of computation model building judged, for ease of understanding, this sentences while providing two kinds of energy of electric power and natural gas For comprehensive energy service provider, provide a specific Profit and loss function formula and attached calculating process:
When the comprehensive energy service provider independent operating, the Profit and loss function of the comprehensive energy service provider (wherein i as follows For indicating that current comprehensive energy service provider is i-th in multiple comprehensive energy service providers):
Wherein, the cost of comprehensive energy service provider mainly has from ahead market and spot market and buys power and natural gas Photovoltaic power generation cost is set to 0 herein due to the characteristic of photovoltaic power generation by cost and self generating unit generation cost;Income To sell electric power and natural gas interests obtained to its internal user.
In formula, Δ t is period interval, number of segment when T is, t ∈ [1, T], qi,el,t、qi,gl,tRespectively internal user is comprehensive to this Close the selling price that energy services quotient buys power with natural gas, qeda,t、qgda,tThe comprehensive energy service provider is from city a few days ago respectively The price to buy power in natural gas, Pi,el,t、Pi,gl,tRespectively comprehensive energy service provider internal user is daily to electric power With the quantity required of natural gas, Pi,eda,t、Pi,gda,tRespectively comprehensive energy service provider needs to buy power from ahead market and day The quantity of right gas, Ci,G,t、Ce,rt,t、Cg,rt,tGenerating set cost respectively inside comprehensive energy service provider, from spot market It buys power and the cost of natural gas (unit price and the product of quantity of the electric power and natural gas bought from spot market).
Service provider's internal generator cost and generated output are at quadratic function relation.In formula, ai,G、bi,G、ci,GFor generator Cost parameter, Pi,G,tFor generator power.
Ce,rt=(Pi,el,t-Pi,eda,t-Ppv,t-Pi,G,t)qert,tΔt
User power consumption and the difference of the sum of service provider's unit generation, photovoltaic power generation, Day-ahead Electricity Purchase amount will be from stocks Purchase is supplied in market.In formula, Ppv,tFor the photovoltaic power output inside comprehensive energy service provider, qert,tTo go out clear electricity in spot market The unit price of power.
Cg,rt=(Pi,gl,t-Pi,gda,t)qgrt,tΔt
In formula, qgrt,tFor the unit price for going out clear natural gas in spot market.
There are following constraint conditions for above-mentioned several formula:
Pi,G,min≤Pi,G,t≤Pi,G,max
In formula, Pi,G,min、Pi,G,maxFor the bound of generating set power output.
Since ahead market energy prices are relatively stable, and spot market Electricity price fluctuation is obvious, user's energy There is also certain randomnesss with photovoltaic power output.In above-mentioned parameter, qi,el,t、qi,gl,t、ai,G、bi,G、ci,GBelong to controllable factor, In the present embodiment as constant, and qeda,t、qgda,t、qert,t、qgrt,t、Pi,el,t、Pi,gl,t、Ppv,tThen belong to uncontrollable Factor participates in specific calculating, P as the stochastic variable of Normal Distribution in the present embodimenti,eda,t、Pi,gda,t、 Pi,G,tFor the decision variable of the comprehensive energy service provider.
Comprehensive energy service provider predicts next day user energy and photovoltaic power output, determines the energy in ahead market Purchase volume and itself unit output, and the deviation of actual user's load then need the spot market for participating in next day to buy.
The above-mentioned Profit and loss function obtained to building is illustrated, in order to obtain final result, measures and is based on stochastic variable More whether closing to reality, the present embodiment additionally provide a kind of risk evaluation model of the foundation based on CVaR to the quantity being calculated Mode realize:
VaR refers to that under energy market normal fluctuation condition and given probability level (confidence level), one for assessing The potential maximum value loss that comprehensive energy service provider can suffer from the following given time period, then i-th comprehensive energy service The VaR value of quotient is as follows:
Pr(-fser,i≤Vi,var,α)=α
In formula, fser,iFor the profit and loss of i-th comprehensive energy service provider, opposite number is the damage of comprehensive energy service provider It loses, Vi,var,αThe as venture worth of the lower i-th comprehensive energy service provider of confidence alpha.
CVaR, that is, Conditional Lyapunov ExponentP, meaning be under conditions of the loss of investment combination is more than some given VaR value, The average loss value of the investment combination, as follows:
Vi,cvar,α=E (- fser,i|-fser,i≥Vi,var,α)
In formula, Vi,cvar,αThe as Conditional Lyapunov ExponentP of the lower i-th comprehensive energy service provider of confidence alpha, it is specific to calculate Such as following formula:
In formula, pfFor the profit and loss probability density of comprehensive energy service provider, f is stochastic variable.
Due to Vi,var,αIt is difficult to according to direct solution is defined, the present embodiment additionally uses following majorized function to solve CVaR Value, and as the optimization aim of comprehensive energy service provider.The present embodiment specifically uses random sampling and clustering Mode converts continuous random variable to the discrete random variable of typical scene, and objective function is as follows:
In formula,For auxiliary variable, π (ω) is the probability of scene ω, and Ω is scene set, and η (ω) is auxiliary variable.When When above-mentioned objective function obtains minimum value, target function value is CVAR value,As VAR value.
Increased constraint condition is as follows:
It can be seen from the above, the profit and loss of comprehensive energy service provider not instead of constant, stochastic variable, in order to ask it Solution, the present invention solve it using scene method, it is necessary first to be sampled to stochastic variable, obtain scene, the present invention adopts Stochastic variable is sampled with monte carlo method, wherein stochastic variable includes electric power and natural gas ahead market and stock city The output power of field cleaing price, electric power and natural gas load power and photovoltaic.
Since the scene that Monte Carlo sampling generates is excessive, calculation amount is excessive, therefore the present invention samples in Monte Carlo and produces On the basis of raw scene, generated scene is cut down using K-means (one kind of clustering algorithm) algorithm, to obtain Appropriate number of scene set omega.
Using the optimal operation model established above, objective function isConstraint Condition is Pi,G,min≤Pi,G,t≤Pi,G,max, η (ω) >=0 HeKnown to One linear model of model can be acquired minimum when comprehensive energy service provider independently participates in energy market using programming theory The Optimal Operation Strategies of risk and corresponding CVaR value: Vi,cvar,α
Because situation is complicated, it can not enumerate and be illustrated, those skilled in the art should be able to recognize according to the application The basic skills principle combination actual conditions of offer may exist many examples, in the case where not paying enough creative works, It should within the scope of protection of this application.
Example IV
Fig. 2 is referred to below, and Fig. 2 is a kind of handling of scrapped goods and materials device in comprehensive energy market provided by the embodiment of the present application Structural block diagram, the apparatus may include:
Produce output quantity computing unit, for the goods and materials output quantity of itself next day to be calculated;Wherein, itself output Goods and materials be divided into controllable quantity goods and materials and the uncontrollable goods and materials of quantity, the goods and materials output quantity of the uncontrollable goods and materials of quantity is will be uncontrollable What factor was calculated in a manner of stochastic variable;
Material requirements amount calculation unit, for the material requirements quantity of user's next day to be calculated;Wherein, material requirements Quantity be it is uncontrollable, material requirements quantity is that uncontrollable factor is calculated in a manner of stochastic variable;
Ahead market purchase quantity computing unit, for being calculated according to the material requirements quantity and goods and materials output quantity of next day Obtain the purchase quantity of the goods and materials in ahead market;
Spot market difference processing unit, for according to the goods and materials actual demand quantity and material requirements quantity on the day of next day Between difference, the part goods and materials that lack of buying and sell extra part goods and materials in spot market.
Optionally, when goods and materials include electric power and natural gas, the uncontrollable factor includes photovoltaic power generation unit in next day Electric power output quantity, amount of energy needed for user's next day and natural gas quantity.
Optionally, the stochastic variable is specially the stochastic variable of Normal Distribution.
Optionally, the handling of scrapped goods and materials device further include:
Stochastic variable value revision unit, for the numerical values recited using prediction model amendment stochastic variable;Wherein, it predicts Model is that the variation tendency of the actual value combination different times based on the history same period constructs.
The Installation practice that the present embodiment corresponds to above method embodiment as one exists, with embodiment of the method Whole beneficial effects, no longer repeat one by one herein.
Based on the above embodiment, present invention also provides a kind of electronic equipment, the electronic equipment may include memory and Processor, wherein there is computer program in the memory, it, can when which calls the computer program in the memory To realize step provided by above-described embodiment.Certainly, which can also include various necessary network interfaces, power supply And other components etc..
Present invention also provides a kind of computer readable storage mediums, have computer program thereon, the computer program Step provided by above-described embodiment may be implemented when being performed terminal or processor execution.The storage medium may include: U Disk, mobile hard disk, read-only memory (Read-Only Memory, ROM), random access memory (Random Access Memory, RAM), the various media that can store program code such as magnetic or disk.
Each embodiment is described in a progressive manner in specification, the highlights of each of the examples are with other realities The difference of example is applied, the same or similar parts in each embodiment may refer to each other.For device disclosed in embodiment Speech, since it is corresponded to the methods disclosed in the examples, so being described relatively simple, related place is referring to method part illustration ?.
Professional further appreciates that, unit described in conjunction with the examples disclosed in the embodiments of the present disclosure And algorithm steps, can be realized with electronic hardware, computer software, or a combination of the two, in order to clearly demonstrate hardware and The interchangeability of software generally describes each exemplary composition and step according to function in the above description.These Function is implemented in hardware or software actually, the specific application and design constraint depending on technical solution.Profession Technical staff can use different methods to achieve the described function each specific application, but this realization is not answered Think beyond scope of the present application.
Specific examples are used herein to illustrate the principle and implementation manner of the present application, and above embodiments are said It is bright to be merely used to help understand the present processes and its core concept.For those skilled in the art, Under the premise of not departing from the application principle, can also to the application, some improvement and modification can also be carried out, these improvement and modification It falls into the protection scope of the claim of this application.
It should also be noted that, in the present specification, relational terms such as first and second and the like be used merely to by One entity or operation are distinguished with another entity or operation, without necessarily requiring or implying these entities or operation Between there are any actual relationship or orders.Moreover, the terms "include", "comprise" or its any other variant meaning Covering non-exclusive inclusion, so that the process, method, article or equipment for including a series of elements not only includes that A little elements, but also other elements including being not explicitly listed, or further include for this process, method, article or The intrinsic element of equipment.In the absence of more restrictions, the element limited by sentence "including a ...", is not arranged Except there is also other identical elements in the process, method, article or equipment for including element.

Claims (8)

1. a kind of handling of scrapped goods and materials method in comprehensive energy market, which is characterized in that be applied to comprehensive energy service provider, comprising:
The goods and materials output quantity of itself next day is calculated;Wherein, the goods and materials of itself output are divided into controllable quantity goods and materials and quantity The goods and materials output quantity of uncontrollable goods and materials, the uncontrollable goods and materials of quantity is to calculate uncontrollable factor in a manner of stochastic variable It obtains;
The material requirements quantity of user's next day is calculated;Wherein, the material requirements quantity is uncontrollable, and the goods and materials need Seeking quantity is that uncontrollable factor is calculated in a manner of stochastic variable;
The purchase quantity of the goods and materials in ahead market is calculated according to the material requirements quantity of next day and goods and materials output quantity;
According to the difference between the goods and materials actual demand quantity and the material requirements quantity on the day of next day, in spot market, buying is lacked Few part goods and materials and sell extra part goods and materials.
2. handling of scrapped goods and materials method according to claim 1, which is characterized in that when goods and materials include electric power and natural gas, institute Stating uncontrollable factor includes photovoltaic power generation unit in the electric power output quantity of next day, amount of energy needed for user's next day and natural Destiny amount.
3. handling of scrapped goods and materials method according to claim 1 or 2, which is characterized in that the stochastic variable is specially to obey just The stochastic variable of state distribution.
4. handling of scrapped goods and materials method according to claim 3, which is characterized in that further include:
The numerical values recited of the stochastic variable is corrected using prediction model;Wherein, the prediction model is based on the history same period What the variation tendency of actual value combination different times constructed.
5. a kind of handling of scrapped goods and materials device in comprehensive energy market, which is characterized in that be applied to comprehensive energy service provider, comprising:
Goods and materials output quantity computing unit, for the goods and materials output quantity of itself next day to be calculated;Wherein, the object of itself output Money is divided into controllable quantity goods and materials and the uncontrollable goods and materials of quantity, and the goods and materials output quantity of the uncontrollable goods and materials of quantity is will be uncontrollable What factor was calculated in a manner of stochastic variable;
Material requirements amount calculation unit, for the material requirements quantity of user's next day to be calculated;Wherein, the material requirements Quantity be it is uncontrollable, the material requirements quantity is that uncontrollable factor is calculated in a manner of stochastic variable;
Ahead market purchase quantity computing unit, for being calculated according to the material requirements quantity and goods and materials output quantity of next day The purchase quantity of goods and materials in ahead market;
Spot market difference processing unit, for according to the goods and materials actual demand quantity and the material requirements quantity on the day of next day Between difference, the part goods and materials that lack of buying and sell extra part goods and materials in spot market.
6. handling of scrapped goods and materials device according to claim 5, which is characterized in that further include:
Stochastic variable value revision unit, for correcting the numerical values recited of the stochastic variable using prediction model;Wherein, described Prediction model is that the variation tendency of the actual value combination different times based on the history same period constructs.
7. a kind of electronic equipment characterized by comprising
Memory, for storing computer program;
Processor is realized when for executing the computer program and is applied to comprehensive energy as Claims 1-4 is described in any item The handling of scrapped goods and materials method in the comprehensive energy market of source service provider.
8. a kind of computer readable storage medium, which is characterized in that be stored with computer on the computer readable storage medium Program is realized when the computer program is executed by processor and is applied to comprehensive energy as Claims 1-4 is described in any item The handling of scrapped goods and materials method in the comprehensive energy market of service provider.
CN201910555020.8A 2019-06-25 2019-06-25 Material processing method and related device for comprehensive energy market Active CN110245904B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201910555020.8A CN110245904B (en) 2019-06-25 2019-06-25 Material processing method and related device for comprehensive energy market

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201910555020.8A CN110245904B (en) 2019-06-25 2019-06-25 Material processing method and related device for comprehensive energy market

Publications (2)

Publication Number Publication Date
CN110245904A true CN110245904A (en) 2019-09-17
CN110245904B CN110245904B (en) 2022-02-15

Family

ID=67889352

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201910555020.8A Active CN110245904B (en) 2019-06-25 2019-06-25 Material processing method and related device for comprehensive energy market

Country Status (1)

Country Link
CN (1) CN110245904B (en)

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20040117236A1 (en) * 2002-12-13 2004-06-17 Dharmashankar Subramanian Automated optimization tool for electric utility sypply services
CN102324752A (en) * 2011-06-17 2012-01-18 辽宁省电力有限公司 Wind power generation-combined ordered charge and discharge coordinated control system of pure electric vehicle
CN105894188A (en) * 2016-03-31 2016-08-24 湘潭大学 Household load scheduling method
CN109428344A (en) * 2017-09-01 2019-03-05 国家电网公司 More generator investment planning method and apparatus containing wind power plant
CN109546646A (en) * 2018-11-19 2019-03-29 南方电网科学研究院有限责任公司 A kind of region power spot market distributing goes out clearing method, device, equipment and medium

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20040117236A1 (en) * 2002-12-13 2004-06-17 Dharmashankar Subramanian Automated optimization tool for electric utility sypply services
CN102324752A (en) * 2011-06-17 2012-01-18 辽宁省电力有限公司 Wind power generation-combined ordered charge and discharge coordinated control system of pure electric vehicle
CN105894188A (en) * 2016-03-31 2016-08-24 湘潭大学 Household load scheduling method
CN109428344A (en) * 2017-09-01 2019-03-05 国家电网公司 More generator investment planning method and apparatus containing wind power plant
CN109546646A (en) * 2018-11-19 2019-03-29 南方电网科学研究院有限责任公司 A kind of region power spot market distributing goes out clearing method, device, equipment and medium

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
胡浩等: "基于 CVaR 理论的综合能源系统经济优化调度", 《电力自动化设备》 *

Also Published As

Publication number Publication date
CN110245904B (en) 2022-02-15

Similar Documents

Publication Publication Date Title
Akbari et al. Stochastic programming-based optimal bidding of compressed air energy storage with wind and thermal generation units in energy and reserve markets
Chen et al. Renewable energy investment and carbon emissions under cap-and-trade mechanisms
Li et al. Electricity demand response in China: Status, feasible market schemes and pilots
Zou et al. Electricity markets evolution with the changing generation mix: An empirical analysis based on China 2050 High Renewable Energy Penetration Roadmap
Soroudi et al. Optimal DR and ESS scheduling for distribution losses payments minimization under electricity price uncertainty
Xiao et al. Behavior analysis of wind power producer in electricity market
Stevanoni et al. Long-term planning of connected industrial microgrids: A game theoretical approach including daily peer-to-microgrid exchanges
Terreros et al. Electricity market options for heat pumps in rural district heating networks in Austria
van der Weijde et al. Locational-based coupling of electricity markets: benefits from coordinating unit commitment and balancing markets
Sahin et al. Generation risk assessment in volatile conditions with wind, hydro, and natural gas units
Li et al. A multimarket decision-making framework for GENCO considering emission trading scheme
Jiang et al. Reserve cost allocation mechanism in renewable portfolio standard-constrained spot market
Wagner et al. The magnitude of the impact of a shift from coal to gas under a Carbon Price
Karaduman Economics of grid-scale energy storage in wholesale electricity markets
Sotnyk et al. Solar energy development in households: Ways to improve state policy in Ukraine and Latvia
Wu et al. Multi-oligarch dynamic game model for regional power market with renewable portfolio standard policies
Yu et al. A Stackelberg game-based peer-to-peer energy trading market with energy management and pricing mechanism: A case study in Guangzhou
Schwidtal et al. Optimized operation of distributed energy resources: The opportunities of value stacking for Power-to-Gas aggregated with PV
Moradi et al. Multi-period generation-transmission expansion planning with an allocation of phase shifter transformers.
Saretta et al. Electrolyzer scheduling for Nordic FCR services
Madlener et al. Variable renewables and demand flexibility: Day-Ahead versus intraday valuation
Li et al. Risk-constrained generation asset arbitrage in power systems
CN110245904A (en) A kind of the handling of scrapped goods and materials method and relevant apparatus in comprehensive energy market
Tan et al. Simulation planning of power supply capacity: an approach to optimal industrial microgrid operation with carbon emission permits
Syu et al. Q-learning based energy management system on operating reserve and supply distribution

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant