CN110163768A - A kind of wind-powered electricity generation-waste incineration virtual plant Optimization Scheduling - Google Patents
A kind of wind-powered electricity generation-waste incineration virtual plant Optimization Scheduling Download PDFInfo
- Publication number
- CN110163768A CN110163768A CN201910409878.3A CN201910409878A CN110163768A CN 110163768 A CN110163768 A CN 110163768A CN 201910409878 A CN201910409878 A CN 201910409878A CN 110163768 A CN110163768 A CN 110163768A
- Authority
- CN
- China
- Prior art keywords
- plant
- wind
- power plant
- electricity
- formula
- 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.)
- Pending
Links
- 230000005611 electricity Effects 0.000 title claims abstract description 131
- 238000004056 waste incineration Methods 0.000 title claims abstract description 35
- 238000005457 optimization Methods 0.000 title claims abstract description 23
- 239000003517 fume Substances 0.000 claims abstract description 51
- UGFAIRIUMAVXCW-UHFFFAOYSA-N Carbon monoxide Chemical compound [O+]#[C-] UGFAIRIUMAVXCW-UHFFFAOYSA-N 0.000 claims abstract description 36
- 239000003546 flue gas Substances 0.000 claims abstract description 36
- 238000010521 absorption reaction Methods 0.000 claims abstract description 4
- 230000008929 regeneration Effects 0.000 claims abstract description 4
- 238000011069 regeneration method Methods 0.000 claims abstract description 4
- 238000012545 processing Methods 0.000 claims description 30
- 239000000779 smoke Substances 0.000 claims description 25
- 239000000446 fuel Substances 0.000 claims description 20
- 238000005265 energy consumption Methods 0.000 claims description 16
- 239000007789 gas Substances 0.000 claims description 15
- 239000010813 municipal solid waste Substances 0.000 claims description 10
- 230000021715 photosynthesis, light harvesting Effects 0.000 claims description 8
- 230000004044 response Effects 0.000 claims description 8
- OKTJSMMVPCPJKN-UHFFFAOYSA-N Carbon Chemical compound [C] OKTJSMMVPCPJKN-UHFFFAOYSA-N 0.000 claims description 6
- 229910052799 carbon Inorganic materials 0.000 claims description 6
- 230000009194 climbing Effects 0.000 claims description 6
- 230000033228 biological regulation Effects 0.000 claims description 5
- 230000008859 change Effects 0.000 claims description 3
- 230000004907 flux Effects 0.000 claims description 3
- 230000008901 benefit Effects 0.000 abstract description 9
- 238000000034 method Methods 0.000 abstract description 8
- 230000007613 environmental effect Effects 0.000 abstract description 2
- 230000006872 improvement Effects 0.000 description 11
- 230000029087 digestion Effects 0.000 description 8
- 238000010586 diagram Methods 0.000 description 5
- 238000010248 power generation Methods 0.000 description 5
- 238000006243 chemical reaction Methods 0.000 description 4
- 230000007246 mechanism Effects 0.000 description 4
- 238000004458 analytical method Methods 0.000 description 2
- 238000004364 calculation method Methods 0.000 description 2
- 230000005684 electric field Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000004088 simulation Methods 0.000 description 2
- 240000002853 Nelumbo nucifera Species 0.000 description 1
- 235000006508 Nelumbo nucifera Nutrition 0.000 description 1
- 235000006510 Nelumbo pentapetala Nutrition 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 238000002485 combustion reaction Methods 0.000 description 1
- 239000002131 composite material Substances 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 230000007423 decrease Effects 0.000 description 1
- 238000007599 discharging Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000010348 incorporation Methods 0.000 description 1
- 239000000203 mixture Substances 0.000 description 1
- 230000001105 regulatory effect Effects 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 239000002918 waste heat Substances 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION 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
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/06—Electricity, gas or water supply
-
- Y—GENERAL 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
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E40/00—Technologies for an efficient electrical power generation, transmission or distribution
- Y02E40/70—Smart grids as climate change mitigation technology in the energy generation sector
-
- Y—GENERAL 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
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- 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
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
Abstract
The present invention discloses a kind of wind-powered electricity generation-waste incineration virtual plant Optimization Scheduling, step includes: fume treatment unit model and the correlation rewards and punishments measure of S1. building burning power plant, absorption link and regeneration link of the model for flue gas storage tank in burning power plant, rewards and punishments measure is for Optimized Operation after virtual plant participation electricity market；S2. the virtual plant polymerizeing with wind-powered electricity generation with burning power plant is constructed, the optimizing scheduling objective function and constraint condition for determining the virtual plant are maximized with the virtual plant net profit；S3. it predicts to contribute according to the clean energy resource power plant, optimization is scheduled to the operating parameter of the virtual plant by the fume treatment unit model and rewards and punishments measure.The present invention is simple with implementation method, power plant is aloowed to obtain better on-road efficiency, so that the advantages that net profit maximizes in dispatching cycle, and significant ground further dissolves abandonment and higher economic benefit, and economy and the feature of environmental protection are more preferable.
Description
Technical field
The present invention relates to power plant dispatching technique fields more particularly to a kind of wind-powered electricity generation-waste incineration virtual plant optimization to adjust
Degree method.
Background technique
In recent years, under " garbage-surrounded city " increasingly serious situation, waste incineration and generating electricity is as " minimizing, innoxious, money
The best mode of house refuse is disposed in source ", and country is caused to pay much attention to and pay close attention to.Currently, there are about 30%~40% in the whole nation
House refuse can be used to generate electricity.Waste incineration and generating electricity method has been widely used in countries in the world.The existing electricity in China
For source structure based on fired power generating unit, traditional fired power generating unit cooperation regulating power is poor, is burnt using the rubbish of the storage tank containing flue gas
It burns power plant and wind-powered electricity generation and is polymerized to virtual plant, because of the correlation properties of its fume treatment energy consumption, fume treatment power can with time shift
With indirect peak regulation to have the function that more to dissolve wind-powered electricity generation.
At present to the correlative study emphasis of burning power plant mainly at burning power plant construction operation mode, flue gas
The optimization of reason method, power generation price etc., but participate in the rare research of Economic and Efficiency Analysis after electricity market to it, especially when
Burning power plant and wind-powered electricity generation, which cooperate, to be run, and only an article analyzes it a few days ago with Real time optimal dispatch, explores
Burning power plant provides the potentiality of ancillary service for clean energy resource consumption.Currently, to waste incineration and generating electricity in operation characteristic
Analysis and application study also in the desk study stage.Waste incineration and generating electricity is because its fuel day of supply constrains, when generating electricity
Between arrange on have biggish controllability；Meanwhile smoke processing system energy consumption accounts for the 1/4 of its total power generation, generally with power generation
Time is identical.If but installing flue gas caisson, can not only realize the decoupling of generating dutation Yu fume treatment time, can also
By adjusting the fume treatment period, Optimized Operation is participated in as active load as controllable burden.
It burns burning power plant day quantitatively, generated output can be considered can time shift, adjustable amount；Its fume treatment power
Greatly, when flue gas storage tank is arranged, can be considered can time shift, adjustable load power.By the above feature, it can control and coordinate
The fume treatment period, and then adjust electric system power curve, fume treatment energy consumptionIt is consumed by t moment for handling flue gas
Electricity, i.e.,In formula, wαCoefficient of energy dissipation is handled for unit；WithRespectively t moment directly into
Enter processing unit and enters the exhaust gas volumn of reaction tower from caisson.
Summary of the invention
The technical problem to be solved in the present invention is that, for technical problem of the existing technology, the present invention provides one
Kind implementation method is simple, power plant is aloowed to obtain better on-road efficiency, so that net profit maximizes in dispatching cycle,
Further consumption abandonment and higher economic benefit, economy and the better wind-powered electricity generation-waste incineration of the feature of environmental protection are virtually electric on significant ground
Factory's method for optimizing scheduling.
In order to solve the above technical problems, technical solution proposed by the present invention are as follows:
A kind of wind-powered electricity generation-waste incineration virtual plant Optimization Scheduling, step include:
S1. fume treatment unit model and related rewards and punishments measure, the model in burning power plant unit is constructed to be used for
The absorption link of flue gas storage tank and regeneration link, rewards and punishments measure participate in electric power for virtual plant in burning power plant
Optimized Operation behind market；
S2. the virtual plant polymerizeing with wind-powered electricity generation with burning power plant is constructed, with virtual plant net profit maximization
Determine the optimizing scheduling objective function and constraint condition of the virtual plant；
S3. it predicts to contribute according to the clean energy resource power plant, passes through the burning power plant unit fume treatment unit
Model and rewards and punishments measure are scheduled optimization to the operating parameter of the virtual plant.
As the further improvement of this patent, in the step S1 burning power plant unit fume treatment unit model and
Rewards and punishments measure includes:
According to the net generated output for the burning power plant that equivalent power output and fume treatment total energy consumption are characterized；
The Optimized Operation way of rewards and punishments characterized according to rewards and punishments measure.
As a further improvement of the present invention, the net generated output of the burning power plant unit smoke processing system is such as
Shown in formula (1):
In formula (1),For the net generated output of t moment burning power plant；WithRespectively t moment waste incineration electricity
The energy consumption of factory's gross capability and fume treatment unit；
The fume treatment total energy consumption meets shown in formula (2):
In formula,The power output of fume treatment is used for for t moment burning power plant,For in t moment wind park power output
For the power output of fume treatment,For t moment fume treatment unit total energy consumption；
For example following three classes of rewards and punishments measure:
Contract promise breaking punishment:
In formula, λ is promise breaking penalty price factor；For market guidance；WithRespectively market contract electricity and reality
Border power output electricity.
Abandonment rewards and punishments:
In formula,For virtual plant inside sale of electricity electricity price；For t moment abandonment electricity；For in t moment wind power plant
Net cleared-out power；ε is abandonment penalty price factor；For peak regulation power；ξ is consumption abandonment incentive price factor.
Interruptible load responds rewards and punishments:
In formula,For load needed for virtual plant inside；WithIt respectively responds electricity and does not respond electricity；The IL electricity assigned for t moment virtual plant；WithRespectively response load rewards electricity price and does not respond load
Punish electricity price.
As a further improvement of the present invention, the smoke processing system energy should meet (11) formula:
In formula, eαExhaust gas volumn is generated for burning power plant specific power；Tunnel gas is flowed out for flue gas storage device
Amount；wαFor the processed in units coefficient of energy dissipation of smoke processing system.
As the further improvement of this patent, the optimization object function includes sale of electricity income and online inside virtual plant
Electricity sells income, and cost is virtual plant operating cost and rewards and punishments measure part；
As the further improvement of this patent, shown in the Optimized Operation objective function such as formula (12):
In formula,For the inside VPP sale of electricity income；For VPP electricity volume sale of electricity income；Csc,punFor rewards and punishments of marketing；
CvppFor VPP operating cost.
Sale of electricity is made a profit such as formula (13) inside virtual plant
Virtual plant sale of electricity is made a profit to electricity market such as formula (14)
As the further improvement of this patent, the operating cost mainly includes fuel unit operating cost, waste incineration
Shown in power plant's operating cost, wind power plant operating cost such as formula (15):
In formula, CdgFor fuel unit operating cost；CGFor burning power plant operating cost；CwFor wind power plant operation at
This.
Shown in fuel unit energy consumption cost function such as formula (16)
In formula, a, b, c are the operating cost coefficient of fuel unit.
Shown in burning power plant operating cost function such as formula (17)
In formula, kcFor unit carbon emission punishment cost；For unit carbon intensity.
Shown in wind field operation expense function such as formula (18)
Cw=kwPw (18)
In formula, kwFor the operating cost coefficient of wind power generating set.
As the further improvement of this patent, the constraint condition includes electric power Constraints of Equilibrium, online Contract generation
Constraint, power output and Climing constant, interruptible load call constraint, the constraint of smoke processing system energy balance, flue gas shunting compare model
Enclose constraint, storage tank capacity-constrained, the constraint of pipeline flow amount.
As the further improvement of this patent, the electric power Constraints of Equilibrium are as follows: AndIn formula,With
Respectively t moment burning power plant and wind power plant gross capability；WithRespectively t moment burning power plant online is net
It contributes and contributes for fume treatment；WithRespectively t moment wind park online cleared-out power and for fume treatment contribute.
The online Contract generation constraint are as follows:
The power output and Climing constant are as follows: AndIn formula,WithRespectively fuel unit output upper and lower limit；WithRespectively fuel
Unit is maximum upwards, climbing rate downwards；WithRespectively burning power plant power output upper and lower limit；WithPoint
It Wei burning power plant be maximum upwards, climbing rate downwards；WithRespectively output of wind electric field upper and lower limit.
The interruptible load call constraint are as follows:AndIn formula, ηmax
For interruptible load highest calling rate in the unit period；For continuously calling rate maximum value.
The smoke processing system energy balance constraint are as follows:In formula,
eαExhaust gas volumn is generated for burning power plant specific power；Pipeline exhaust gas volumn is flowed out for flue gas storage device；wαFor flue gas
The processed in units coefficient of energy dissipation of processing system.
The smoke processing system flue gas shunting compares range constraint are as follows: 0≤λt≤1；Smoke processing system caisson holds
Amount is constrained to 10% × Vmax≤Vt≤ 90% × Vmax, flue gas storage device pipeline flow amount is constrained toAndWherein,For flue gas storage device pipeline max-flow flux.
As the further improvement of this patent, the specific steps of the Optimized Operation include: according to the waste incineration electricity
The prediction power output of factory, rewards and punishments measure, objective function, constraint condition optimize the plan of virtual plant by Optimal Operation Model
Power output plans each power supply inside control virtual plant according to the power output and contributes.
As the further improvement of this patent, the waste incineration virtual plant can more effectively provide for new energy auxiliary
Service is helped, new energy is wind-power electricity generation.
Compared with the prior art, the advantages of the present invention are as follows:
The present invention can coordinate and optimize wind inside wind-powered electricity generation-waste incineration virtual plant by constructing the virtual plant (VPP)
Power output arrangement between electricity, distributed generation resource and burning power plant, being contributed using burning power plant fume treatment, this is special
Point, reasonable arrangement its handle flue gas at the time of, achieve the purpose that certain peak load shifting.
Virtual plant can be constrained in the contract promise breaking of proposition, so that its preferable performance of the contract requirement.Abandonment punishment can be with
Increase the consumption of wind-powered electricity generation in virtual plant.After interruptible load rewards and punishments mechanism participates in scheduling, interruptible load response quautity is become
Change.In the case where three kinds of mechanism act on simultaneously, the real economy Income Maximum that wind-powered electricity generation-waste incineration virtual plant obtains, and abandonment
Problem is improved.
From the point of view of macroeconomy environment etc. benefit angle, after rewards and punishments measure is added, garbage power plant can more actively
Adjusting internal load greatly dissolve new energy so that burning power plant preferably provides ancillary service.
Detailed description of the invention
Fig. 1 is flow chart of the present invention.
Fig. 2 is burning power plant smoke processing system structure.
Fig. 3 is wind-powered electricity generation waste incineration virtual plant composite structural diagram in the present invention.
Fig. 4 is operation rule flow chart of the virtual plant in electricity market in the present invention.
Fig. 5 is each power Parameter Map of virtual plant in the specific embodiment of the invention.
Fig. 6 is wind power plant capability diagram in the specific embodiment of the invention.
Fig. 7 is virtual plant inside electricity price and market rate for incorporation into the power network schematic diagram in the specific embodiment of the invention.
Fig. 8 is the promise breaking of one contract of scheme and wind electricity digestion situation result figure in the specific embodiment of the invention.
Fig. 9 is the promise breaking of two contract of scheme and wind electricity digestion situation result figure in the specific embodiment of the invention.
Figure 10 is the promise breaking of three contract of scheme and wind electricity digestion situation result figure in the specific embodiment of the invention.
Figure 11 is three kinds of scheme wind electricity digestion situation contrast schematic diagrams of the specific embodiment of the invention.
Figure 12 is virtual plant cost-effectiveness comparison diagram in the specific embodiment of the invention.
Specific embodiment
Below in conjunction with Figure of description and specific preferred embodiment, the invention will be further described, but not therefore and
It limits the scope of the invention.
As shown in Figure 1, the present embodiment wind-powered electricity generation-waste incineration virtual plant Optimization Scheduling, step include:
S1. fume treatment unit model and related rewards and punishments measure, the model in burning power plant unit is constructed to be used for
The absorption link of flue gas storage tank and regeneration link, rewards and punishments measure participate in electric power for virtual plant in burning power plant
Optimized Operation behind market；S2. the virtual plant polymerizeing with wind-powered electricity generation with burning power plant is constructed, is received only with the virtual plant
Benefit maximizes the optimizing scheduling objective function and constraint condition for determining the virtual plant；S3. according to the clean energy resource power plant
Prediction power output, by the burning power plant unit fume treatment unit model and rewards and punishments measure to the virtual plant
Operating parameter is scheduled optimization.
The capital equipment of burning power plant has incinerator, waste heat boiler, smoke processing system etc..Wherein fume treatment system
The flue gas that caisson and reaction tower in system are entered by processing by smoke discharging pipe, removes the polluted gas in flue gas, passes through
It is discharged again after processing.Fume treatment and power generation may be implemented in the ratio for entering caisson and reaction tower by adjusting flue gas
Between decoupling.It burns burning power plant day quantitatively, generated output can be considered can time shift, adjustable amount；Its fume treatment function
Rate is big, and when flue gas storage tank is arranged, can be considered can time shift, adjustable load power.By the above feature, association can control
It adjusts the fume treatment period, and then adjusts electric system power curve, smoke processing system structure such as Fig. 2.
In the present embodiment, fume treatment unit model includes fume treatment energy consumption in burning power plant unitFor t
Moment, i.e. formula (1) was set up for handling flue gas institute power consumption:
In formula (1), wαCoefficient of energy dissipation is handled for unit；WithRespectively t moment be directly entered processing unit with from storage
Device of air enters the exhaust gas volumn of reaction tower.Smoke processing system energy should meet:
In formula, eαExhaust gas volumn is generated for burning power plant specific power；Tunnel gas is flowed out for flue gas storage device
Amount；wαFor the processed in units coefficient of energy dissipation of smoke processing system.
In the present embodiment, as shown in figure 3, source is fuel machine after wind-powered electricity generation and burning power plant are polymerized to virtual plant
Group, wind power plant, burning power plant, each power supply are connected by existing electric network composition with power grid by interface unit；It is empty
Load in quasi- power plants generating electricity a part supply power plant, remaining electricity are sold to power grid by transmission line of electricity；Due to waste incineration electricity
Factory generate must flue gas, fume treatment consumption must electricity, be jointly processed by by burning power plant and wind power plant.Due to
During fume treatment, burning power plant needs to consume a large amount of electricity, because causing the characteristics of the high energy consumption containing rubbish
The virtual plant that rubbish burns power plant is compared compared with traditional virtual power plant has bigger energy-saving potential.Therefore by wind power plant and rubbish
After burning power plant is polymerized to virtual plant, by adjusting burning power plant treatment quantity and generated energy, in virtual plant
Portion's load optimizes scheduling, and then realizes that net profit maximizes.Its electric power needs to meet, In formula,WithPoint
It Wei not t moment burning power plant and wind power plant gross capability；WithRespectively t moment burning power plant online cleared-out
Power and for fume treatment contribute；WithRespectively t moment wind park online cleared-out power and for fume treatment contribute.
In the present embodiment, as shown in figure 4, after virtual plant participates in electricity market, operation rule are as follows: virtual plant participates in
Before power market transaction (total N days) terminates, virtual plant traffic control considers its warp according to itself load and power supply feature
Help benefit, generation schedule one day after terminated to transaction and is declared, generation schedule include market contract declare generated energy and its
Corresponding cost of electricity-generating curve.By carrying out control coordination to source, net end and lotus end, and carry out internal schedule decision.Wind
It is uncertain that the abandonment punishment that electricity-waste incineration virtual plant matches its characteristic for the characteristics of garbage power plant solves wind power output
Property big problem, reduce abandonment amount, every to pass through a cycle, ISO (Independent System Operator) i.e. can be right
Wind power generating set is examined, and content of examination includes its generated energy and generating efficiency, if producing abandonment, makes phase
The punishment answered, after this period, ISO in interruptible load in wind-powered electricity generation-waste incineration virtual plant response quautity with do not ring
It should measure and make respective handling.Coordinate the main energy market generation schedule of overall execution ISO, sign a contract with market, and contract is disobeyed
About electricity makes corresponding promise breaking economic punishment.
The rewards and punishments measure set up in the present embodiment includes that online contract promise breaking punishment, abandonment rewards and punishments and interruptible load are rung
Answer rewards and punishments.Rewards and punishments expression formula are as follows: online contract promise breaking punishment,In formula, λ is promise breaking punishment
Cost factor；For market guidance；WithRespectively market contract electricity and practical power output electricity；Abandonment rewards and punishments, In formula,For virtual plant
Internal sale of electricity electricity price；For t moment abandonment electricity；For t moment wind power plant online cleared-out power；ε be abandonment penalty price because
Number；For peak regulation power；ξ is consumption abandonment incentive price factor；Interruptible load responds rewards and punishments, AndIn formula,It is virtual
Load needed for inside power plant；WithIt respectively responds electricity and does not respond electricity；For under t moment virtual plant
The IL electricity reached；WithRespectively response load reward electricity price punishes electricity price with load is not responded.
In the present embodiment, optimization object function sells income, virtual according to sale of electricity income, electricity volume inside virtual plant
The net profit maximization of virtual plant determined by power plant's operating cost and rewards and punishments part determines.
In the present embodiment, shown in objective function such as formula (3):
In formula,For the inside VPP sale of electricity income；For VPP electricity volume sale of electricity income；Csc,punFor rewards and punishments of marketing；
CvppFor VPP operating cost.
Sale of electricity is made a profit as shown in formula (4) inside virtual plant:
Virtual plant sale of electricity is made a profit as shown in formula (5) to electricity market:
Wind-powered electricity generation-waste incineration virtual plant operating cost mainly includes fuel unit operating cost, burning power plant fortune
Row cost, wind power plant operating cost.Shown in virtual plant cost such as formula (6):
In formula, CdgFor fuel unit operating cost；CGFor burning power plant operating cost；CwFor wind power plant operation at
This.
Shown in fuel unit energy consumption cost function such as formula (7):
In formula, a, b, c are the operating cost coefficient of fuel unit.
Shown in burning power plant operating cost function such as formula (8):
In formula, kcFor unit carbon emission punishment cost；For unit carbon intensity.
Shown in wind field operation expense function such as formula (9):
Cw=kwPw (9)
In formula, kwFor the operating cost coefficient of wind power generating set.
In the present embodiment, constraint condition includes: electric power Constraints of Equilibrium, the constraint of online Contract generation, contributes and climb
Slope constraint, the constraint of interruptible load call constraint, smoke processing system energy balance, flue gas shunting are than range constraint, storage tank
Body capacity-constrained, the constraint of pipeline flow amount.
In the present embodiment, electric power Constraints of Equilibrium is In formula,With
Respectively t moment burning power plant and wind power plant gross capability；WithRespectively t moment burning power plant online is net
It contributes and contributes for fume treatment；WithRespectively t moment wind park online and goes out cleared-out power for fume treatment
Power.
Online Contract generation constraint satisfaction:
Power output and Climing constant are as follows: In formula,WithRespectively fuel unit output upper and lower limit；WithRespectively fuel unit is maximum upwards, climbing rate downwards；WithRespectively burning power plant is contributed
Upper and lower limit；WithRespectively burning power plant is maximum upwards, climbing rate downwards；WithRespectively wind-powered electricity generation
Field power output upper and lower limit.
Interruptible load call constraint meets such as formula (10)-(11) in the present embodiment
In formula, ηmaxFor interruptible load highest calling rate in the unit period；For continuously calling rate maximum value.
The constraint of smoke processing system energy balance is also needed to meet in the present embodiment: eαExhaust gas volumn is generated for burning power plant specific power；It is deposited for flue gas
Storage device flows out pipeline exhaust gas volumn；wαFor the processed in units coefficient of energy dissipation of smoke processing system.
Smoke processing system flue gas shunting compares range constraint are as follows: 0≤λt≤1；Smoke processing system caisson capacity is about
10% × V of beammax≤Vt≤ 90% × Vmax；The constraint of flue gas storage device pipeline flow amount
Wherein,For flue gas storage device pipeline max-flow flux.
In the present embodiment, implementing specific Optimized Operation in step S3 includes: to be predicted according to the clean energy resource power plant
Power joins the operation of the virtual plant by the burning power plant unit fume treatment unit model and rewards and punishments measure
Number is scheduled optimization.
In the present embodiment, three kinds of operating schemes are set for virtual plant, scheme 1: contains only contract promise breaking punishment；Scheme 2:
Containing contract promise breaking punishment, abandonment punishment；Scheme 3: rewards and punishments are responded containing contract promise breaking punishment, abandonment punishment and interruptible load.
In the present embodiment, consider that wind energy turbine set installed capacity is 120MW, burning power plant installed capacity is 100MW, combustion
Expect unit installed capacity 100MW.Each power supply detail parameters are shown in Fig. 5.Output of wind electric field curve is as shown in fig. 6, electric settlement price of surfing the Internet
Sale of electricity price curve is as shown in Figure 7 inside lattice curve and virtual plant.
By using Matlab software and YALMIP kit is called to carry out simulation calculation, each constraint condition is considered, with wind
Electricity-waste incineration virtual plant net profit is up to objective function, and setting contract promise breaking penalty coefficient λ=1.5 optimize
Scheduling calculates.The contract violation of agreement and wind-powered electricity generation for acquiring three kinds of schemes that wind-powered electricity generation-waste incineration virtual plant is used herein disappear
Result of receiving is as shown in Figure 8,9, 10, and the wind electricity digestion situation comparison of three kinds of schemes is as shown in figure 11.For illustrate scheme 3 compared to
Three kinds of schemes are programmed simulation calculation, the cost-effectiveness result of three kinds of schemes by the advantage that scheme 1 and scheme 2 have
Comparison is as shown in figure 12.
Complex chart 8, Fig. 9 and Figure 12 are as it can be seen that abandonment punishment and interruptible load response prize is being added in virtual plant operation
After punishing, abandonment amount reduces 72.29MWh, and net profit increases 5.98 ten thousand yuan, and market online promise breaking electricity has substantially
It reduces.Illustrate that it is very necessary for increasing abandonment punishment and interruptible load response rewards and punishments, but whole abandonment is reduced.
Complex chart 9, Figure 10 and Figure 12 on the basis of scheme two as it can be seen that increase the reward of burning power plant fume treatment
Afterwards, there is further improvement the case where abandonment, and contract promise breaking electricity also has certain variation, final net profit reaches three
Highest in kind scheme, burning power plant reduces power generation level in electricity price low ebb, and improves and generate electricity in electricity price peak time
Power output, and due to the addition of fume treatment so that wind-powered electricity generation-waste incineration virtual plant obtained in electricity market it is higher
Income.And in three kinds of schemes, the operating cost of scheme three decreases, and is mainly also due to abandonment punishment and reduces.
Figure 11 can be clearly seen, wind electricity digestion situation under three kinds of schemes, and scheme two is compared with one wind electricity digestion situation of scheme
Improve, but be still undesirable, but under the scheme three for being added to the reward of burning power plant fume treatment, wind electricity digestion feelings
Condition is significantly improved.The consumption that can increase wind-powered electricity generation in virtual plant is punished in abandonment.Interruptible load rewards and punishments mechanism participates in
After scheduling, interruptible load response quautity is varied.In the case where three kinds of mechanism act on simultaneously, wind-powered electricity generation-waste incineration virtual plant is obtained
The real economy Income Maximum obtained, and abandonment problem is improved.Come from macroeconomy environment etc. benefit angle
It sees, after rewards and punishments measure is added, garbage power plant is capable of the adjusting internal load of more active, so that burning power plant is better
Ancillary service is provided, new energy is greatly dissolved.
Above-mentioned only presently preferred embodiments of the present invention, is not intended to limit the present invention in any form.Although of the invention
It has been disclosed in a preferred embodiment above, however, it is not intended to limit the invention.Therefore, all without departing from technical solution of the present invention
Content, technical spirit any simple modifications, equivalents, and modifications made to the above embodiment according to the present invention should all
It falls in the range of technical solution of the present invention protection.
Claims (9)
1. a kind of wind-powered electricity generation-waste incineration virtual plant Optimization Scheduling, which is characterized in that step includes:
S1. fume treatment unit model and related rewards and punishments measure, the model in burning power plant unit are constructed and is used for rubbish
The absorption link of flue gas storage tank and regeneration link in power plant are burned, after rewards and punishments measure participates in electricity market for virtual plant
Optimized Operation；
S2. the virtual plant polymerizeing with wind-powered electricity generation with burning power plant is constructed, is maximized and is determined with the virtual plant net profit
The optimizing scheduling objective function and constraint condition of the virtual plant；
S3. it predicts to contribute according to the clean energy resource power plant, passes through the burning power plant unit fume treatment unit model
And rewards and punishments measure is scheduled optimization to the operating parameter of the virtual plant.
2. wind-powered electricity generation according to claim 1-waste incineration virtual plant Optimization Scheduling, which is characterized in that the step
Suddenly burning power plant unit fume treatment unit model and related rewards and punishments measure include: in S1
According to the net generated output for the burning power plant that equivalent power output and fume treatment total energy consumption are characterized；
The Optimized Operation way of rewards and punishments characterized according to rewards and punishments measure.
3. wind-powered electricity generation according to claim 2-waste incineration virtual plant Optimization Scheduling, it is characterised in that: the rubbish
Rubbish burns shown in the net generated output such as formula (1) of Power Plant smoke processing system:
In formula,For the net generated output of t moment burning power plant；WithRespectively t moment burning power plant always goes out
The energy consumption of power and fume treatment unit；
The fume treatment total energy consumption meets shown in formula (2):
In formula,The power output of fume treatment is used for for t moment burning power plant,To be used in t moment wind park power output
The power output of fume treatment,For t moment fume treatment unit total energy consumption；
For example following three classes of rewards and punishments measure:
Contract promise breaking punishment:
In formula, λ is promise breaking penalty price factor；For market guidance；WithRespectively market contract electricity with actually go out
Power electricity.
Abandonment rewards and punishments:
In formula,For virtual plant inside sale of electricity electricity price；For t moment abandonment electricity；It is net for the online of t moment wind power plant
Power output；ε is abandonment penalty price factor；For peak regulation power；ξ is consumption abandonment incentive price factor.
Interruptible load responds rewards and punishments:
In formula,For load needed for virtual plant inside；WithIt respectively responds electricity and does not respond electricity；
The IL electricity assigned for t moment virtual plant；WithRespectively response load reward electricity price is punished with load is not responded
Electricity price.
4. wind-powered electricity generation according to claim 2 or 3-waste incineration virtual plant Optimization Scheduling, it is characterised in that: flue gas
Processing system energy should meet:
In formula, eαExhaust gas volumn is generated for burning power plant specific power；Pipeline exhaust gas volumn is flowed out for flue gas storage device；wα
For the processed in units coefficient of energy dissipation of smoke processing system.
5. wind-powered electricity generation according to claim 2-waste incineration virtual plant Optimization Scheduling, it is characterised in that: described excellent
Change objective function include inside virtual plant sale of electricity income and electricity volume sell income, cost be virtual plant operating cost and
Rewards and punishments measure part.
6. wind-powered electricity generation according to claim 5-waste incineration virtual plant Optimization Scheduling, it is characterised in that: described excellent
Change shown in regulation goal function such as formula (12):
In formula,For the inside VPP sale of electricity income；For VPP electricity volume sale of electricity income；Csc,punFor rewards and punishments of marketing；CvppFor
VPP operating cost.
Sale of electricity is made a profit inside virtual plant
Virtual plant sale of electricity is made a profit to electricity market
VPP-WW operating cost mainly include fuel unit operating cost, burning power plant operating cost, wind power plant operation at
This:
In formula, CdgFor fuel unit operating cost；CGFor burning power plant operating cost；CwFor wind power plant operating cost.
Fuel unit energy consumption cost function
In formula, a, b, c are the operating cost coefficient of fuel unit.
Burning power plant operating cost function
In formula, kcFor unit carbon emission punishment cost；For unit carbon intensity.
Wind field operation expense function
Cw=kwPw (18)
In formula, kwFor the operating cost coefficient of wind power generating set.
7. wind-powered electricity generation according to claim 6-waste incineration virtual plant Optimization Scheduling, it is characterised in that: it is described about
Beam condition includes that electric power Constraints of Equilibrium, the constraint of online Contract generation, power output and Climing constant, interruptible load call about
Beam, the constraint of smoke processing system energy balance, flue gas shunting are about than range constraint, storage tank capacity-constrained, pipeline flow amount
Beam.
8. wind-powered electricity generation according to claim 7-waste incineration virtual plant Optimization Scheduling, it is characterised in that:
The electric power Constraints of Equilibrium are as follows:AndIn formula,WithRespectively t moment burning power plant and wind power plant gross capability；WithRespectively t moment burning power plant online is net
It contributes and contributes for fume treatment；WithRespectively t moment wind park online cleared-out power and for fume treatment contribute.
The online Contract generation constraint are as follows:
The power output and Climing constant are as follows: AndIn formula,WithRespectively fuel unit output upper and lower limit；WithRespectively fuel unit is maximum upwards, climbing rate downwards；WithRespectively burning power plant is contributed
Upper and lower limit；WithRespectively burning power plant is maximum upwards, climbing rate downwards；WithRespectively wind-powered electricity generation
Field power output upper and lower limit.
The interruptible load call constraint are as follows:AndIn formula, ηmaxFor list
Interruptible load highest calling rate in the period of position；For continuously calling rate maximum value.
The smoke processing system energy balance constraint are as follows:In formula, eαFor
Burning power plant specific power generates exhaust gas volumn；Pipeline exhaust gas volumn is flowed out for flue gas storage device；wαFor fume treatment system
The processed in units coefficient of energy dissipation of system.
The smoke processing system flue gas shunting compares range constraint are as follows: 0≤λt≤1；Smoke processing system caisson capacity-constrained
For 10% × Vmax≤Vt≤ 90% × Vmax, flue gas storage device pipeline flow amount is constrained toAnd
Wherein,For flue gas storage device pipeline max-flow flux.
9. wind-powered electricity generation according to claim 7-waste incineration virtual plant Optimization Scheduling, it is characterised in that: described excellent
The specific steps for changing scheduling include: according to the prediction power output of the burning power plant, rewards and punishments measure, objective function, constraint item
Part optimizes the plan power output of virtual plant by Optimal Operation Model, is planned according to the power output each inside control virtual plant
Power supply power output.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910409878.3A CN110163768A (en) | 2019-05-16 | 2019-05-16 | A kind of wind-powered electricity generation-waste incineration virtual plant Optimization Scheduling |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910409878.3A CN110163768A (en) | 2019-05-16 | 2019-05-16 | A kind of wind-powered electricity generation-waste incineration virtual plant Optimization Scheduling |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN110163768A true CN110163768A (en) | 2019-08-23 |
Family
ID=67631092
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910409878.3A Pending CN110163768A (en) | 2019-05-16 | 2019-05-16 | A kind of wind-powered electricity generation-waste incineration virtual plant Optimization Scheduling |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110163768A (en) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111769552A (en) * | 2020-07-02 | 2020-10-13 | 长沙理工大学 | Source-load linear coordination optimization method for participating in peak shaving of waste incineration power plant |
| CN112232603A (en) * | 2020-12-08 | 2021-01-15 | 华东交通大学 | Virtual power plant optimal scheduling method considering electricity-to-gas coordination |
| CN113538066A (en) * | 2021-07-30 | 2021-10-22 | 国网上海市电力公司 | Control method, system, equipment and medium for virtual power plant to participate in power market |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106485600A (en) * | 2016-10-12 | 2017-03-08 | 国网宁夏电力公司 | A kind of virtual plant economic security method for optimizing scheduling |
| CN107482688A (en) * | 2017-07-26 | 2017-12-15 | 长沙理工大学 | A kind of carbon traps virtual plant method for optimizing scheduling |
| CN107784427A (en) * | 2017-08-08 | 2018-03-09 | 国网江苏省电力公司盐城供电公司 | A kind of virtual plant Optimization Scheduling based on cuckoo algorithm |
| WO2018059096A1 (en) * | 2016-09-30 | 2018-04-05 | 国电南瑞科技股份有限公司 | Combined decision method for power generation plans of multiple power sources, and storage medium |
-
2019
- 2019-05-16 CN CN201910409878.3A patent/CN110163768A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2018059096A1 (en) * | 2016-09-30 | 2018-04-05 | 国电南瑞科技股份有限公司 | Combined decision method for power generation plans of multiple power sources, and storage medium |
| CN106485600A (en) * | 2016-10-12 | 2017-03-08 | 国网宁夏电力公司 | A kind of virtual plant economic security method for optimizing scheduling |
| CN107482688A (en) * | 2017-07-26 | 2017-12-15 | 长沙理工大学 | A kind of carbon traps virtual plant method for optimizing scheduling |
| CN107784427A (en) * | 2017-08-08 | 2018-03-09 | 国网江苏省电力公司盐城供电公司 | A kind of virtual plant Optimization Scheduling based on cuckoo algorithm |
Non-Patent Citations (2)
| Title |
|---|
| 周任军等: "含烟气储存装置的风电垃圾焚烧虚拟电厂双阶段优化调度", 《中国电力》 * |
| 赵洪山等: "奖惩机制下虚拟电厂优化调度效益分析", 《电网技术》 * |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111769552A (en) * | 2020-07-02 | 2020-10-13 | 长沙理工大学 | Source-load linear coordination optimization method for participating in peak shaving of waste incineration power plant |
| CN111769552B (en) * | 2020-07-02 | 2022-11-11 | 长沙理工大学 | Source-load linear coordination optimization method for participating in peak shaving of waste incineration power plant |
| CN112232603A (en) * | 2020-12-08 | 2021-01-15 | 华东交通大学 | Virtual power plant optimal scheduling method considering electricity-to-gas coordination |
| CN113538066A (en) * | 2021-07-30 | 2021-10-22 | 国网上海市电力公司 | Control method, system, equipment and medium for virtual power plant to participate in power market |
| CN113538066B (en) * | 2021-07-30 | 2024-02-27 | 国网上海市电力公司 | Control method, system, equipment and medium for virtual power plant to participate in power market |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN105375507B (en) | The electric power two-stage interaction optimizing dispatching method of virtual plant under haze environment | |
| CN108764519B (en) | Optimal configuration method for capacity of park energy Internet energy equipment | |
| CN110163768A (en) | A kind of wind-powered electricity generation-waste incineration virtual plant Optimization Scheduling | |
| CN106936147A (en) | A kind of optimization operation management method of micro-capacitance sensor based on dual-layer optimization towards electric heat storage boiler | |
| CN108173283A (en) | A kind of cogeneration system operation method containing honourable regenerative resource | |
| CN104318321B (en) | A kind of iron and steel enterprise's multiple-energy-source medium integrates method for optimizing scheduling | |
| CN111210054A (en) | Micro-energy network optimization scheduling method considering direct load control uncertainty | |
| CN113554296A (en) | Multi-index evaluation method for planning of park comprehensive energy system | |
| CN109741103A (en) | A kind of short-term multiple target dual-layer optimization dispatching method | |
| CN109325621A (en) | A kind of garden energy internet two stages optimal dispatch control method | |
| CN109784554A (en) | A kind of electric system optimal scheduling method based on leader-followers games | |
| Ju et al. | A multi-time scale dispatching optimal model for rural biomass waste energy conversion system-based micro-energy grid considering multi-energy demand response | |
| CN113435095A (en) | Method and system for optimizing scheduling of comprehensive energy system | |
| CN107634547A (en) | Contributed based on new energy and predict that the electric association system of error goes out electric control method | |
| CN114050571A (en) | Comprehensive energy system energy hub control method considering carbon flow | |
| CN115423282A (en) | Electricity-hydrogen-storage integrated energy network multi-objective optimization scheduling model based on reward and punishment stepped carbon transaction | |
| CN114676878A (en) | Multi-region virtual power plant optimal scheduling method oriented to multi-energy complementation and low carbonization | |
| CN110244568A (en) | Energy hub model of industrial enterprise microgrid and multi-energy complementary optimization control method thereof | |
| CN111210079B (en) | Operation optimization method and system for distributed energy virtual power plant | |
| CN105896535B (en) | For minimizing the method for the wind power plant Swap of Generation Right electricity assessment for abandoning wind-powered electricity generation amount | |
| CN109829559A (en) | A kind of Peak Regulation Right method of commerce promoting clean energy resource consumption | |
| CN115986833A (en) | Low-carbon economic scheduling method for combined heat and power micro-grid considering two-stage demand response | |
| CN116629553A (en) | Regional comprehensive energy scheduling method based on incomplete interval multi-objective fuzzy optimization | |
| CN113437744B (en) | Photo-thermal-biomass hybrid power station robust optimization scheduling model considering uncertainty | |
| CN112561120B (en) | Microgrid-based optimized operation method for day-ahead market clearing system |
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 | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20190823 |
|
| RJ01 | Rejection of invention patent application after publication |