CN109784591A - A kind of integrated energy system Optimization Scheduling and system with energy storage and wind-powered electricity generation - Google Patents
A kind of integrated energy system Optimization Scheduling and system with energy storage and wind-powered electricity generation Download PDFInfo
- Publication number
- CN109784591A CN109784591A CN201910224272.2A CN201910224272A CN109784591A CN 109784591 A CN109784591 A CN 109784591A CN 201910224272 A CN201910224272 A CN 201910224272A CN 109784591 A CN109784591 A CN 109784591A
- Authority
- CN
- China
- Prior art keywords
- scene
- combined cycle
- cycle unit
- integrated energy
- energy system
- 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
Classifications
-
- 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
Landscapes
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
- Supply And Distribution Of Alternating Current (AREA)
Abstract
The invention discloses a kind of integrated energy system Optimization Scheduling with energy storage and wind-powered electricity generation, comprising: establish the Optimal Operation Model of the integrated energy system of the band uncertainty energy；Scene is generated using importance scene analysis method, screening obtains the calculating scene of the Optimal Operation Model of integrated energy system；According to the parameters characteristic value of the integrated energy system of typing, the Optimized Operation parameter value of integrated energy system is calculated；The Optimization Scheduling of combined cycle unit operation and start and stop in selection integrated energy system is adjusted scheduling a few days ago.Beneficial effects of the present invention: the characteristics of for wind energy in integrated energy system and energy storage, establish the Optimal Operation Model for being suitable for integrated energy system, certain problem is converted by stochastic problem, in the case where guaranteeing system safety, a kind of implementation method of effective Optimized Operation is provided for the Optimized Operation of integrated energy system.
Description
Technical field
The present invention relates to comprehensive energy optimisation technique fields, in particular to a kind of synthesis energy with energy storage and wind-powered electricity generation
Source system optimization dispatching method and system.
Background technique
The fields such as integrated energy system optimization problem have numerous studies both at home and abroad, but are directed to the synthesis with energy storage and wind-powered electricity generation
Implementation method is few in terms of scene analysis in energy resource system Optimal Scheduling.Optimize with the integrated energy system of energy storage and wind-powered electricity generation
Scheduling problem is related to the assay to a large amount of scenes and scheme, be in the integrated energy system containing wind-powered electricity generation and energy storage it is comprehensive and
The accurately feasibility of assessment Optimized Operation scheme, needs to comprehensively consider the time behavior of the new energy such as wind energy and energy storage,
And analytical calculation is carried out to its scene.
Summary of the invention
To solve the above problems, optimizing the purpose of the present invention is to provide a kind of with the integrated energy system of energy storage and wind-powered electricity generation
Dispatching method and system the characteristics of for wind energy in integrated energy system and energy storage, are established and are suitable for the excellent of integrated energy system
Change scheduling model, convert certain problem for stochastic problem, is integrated energy system in the case where guaranteeing system safety
Optimized Operation provides a kind of implementation method of effective Optimized Operation.
The present invention provides a kind of integrated energy system Optimization Scheduling with energy storage and wind-powered electricity generation, comprising:
Step 1, with the mesh of the minimum integrated energy system optimization of the integrated energy system operating cost with energy storage and wind-powered electricity generation
Scalar functions establish the Optimal Operation Model of the integrated energy system with the uncertain energy；
Wherein, integrated energy system operating cost includes combined cycle unit power generation, start and stop and producing steam cost, target letter
Number indicates are as follows:
In formula, E (F) is the desired value of integrated energy system operating cost, and s is scene serial number, and t is the one of T dispatching cycle
A period, Z are the combined cycle unit set in integrated energy system,For the combustion of combined cycle unit i in the t period
Expect cost,For the operation operating cost of combined cycle unit i in the t period, Et,iFor combined cycle unit i in the t period
The income that the outlet of bulk power grid is generated, Ot,iHeat supply network outlet vapor is generated for combined cycle unit i in the t period
Income, NsFor scene quantity, λsFor corresponding probability under scene s,The fuel price needed is run for combined cycle unit i,
fs,t,iFuel required for being run for combined cycle unit i,For in the t period, combined cycle unit i start and stop under s scene
Operation operating cost under state, zs,t,iFor combined cycle unit i start and stop state, bs,tFor the system valence electric to bulk power grid purchase
Lattice,For the electricity that system is bought to bulk power grid, pe,s,tThe price of electricity is sold to bulk power grid for system,For system Xiang great electricity
The electricity that net is sold,The price of steam is sold for system,The quantity of steam sold for system；
Step 2, scene is generated using importance scene analysis method, using importance scene generating method to the not true of wind-powered electricity generation
Surely it is simulated, screening obtains the calculating scene of the Optimal Operation Model of integrated energy system；
Step 3, it in the case where calculating scene, according to the parameters characteristic value of the integrated energy system of typing, is calculated comprehensive
Close the Optimized Operation parameter value of energy resource system；
Wherein, Optimized Operation parameter value includes combined cycle unit parameter, micro turbine parameter and energy storage device parameter；
Step 4, according to the Optimized Operation parameter value being calculated, the combined cycle unit fortune in integrated energy system is selected
Capable and start and stop Optimization Schedulings are adjusted scheduling a few days ago.
It is further improved as of the invention, in step 1, the Optimal Operation Model of integrated energy system includes combined cycle
The Optimal Operation Model of unit, micro turbine and energy storage device, specific as follows:
Combined cycle unit is collectively constituted by gas turbine and preboiler, steam turbine, the optimization of combined cycle unit
Scheduling model are as follows:
In formula, Qcc,i,t,sFor combined cycle unit i production capacity, aiFor the fitting coefficient of combined cycle unit i, i=1,2,3,
4,5,6,For the evacuating valve aperture of combined cycle unit i, zcc,i,t,sFor the start and stop state of Unit erriger i, fcc,i,t,s
For the burnup of Unit erriger i；
The Optimal Operation Model of micro turbine are as follows:
In formula, Qgt,i,t,sFor micro turbine production capacity, zgt,i,t,sFor the start and stop state of micro turbine, fgt,i,t,sFor the combustion of micro turbine
Consumption, biFor the fitting coefficient of micro turbine, i=1,2,3；
The Optimal Operation Model of energy storage device are as follows:
In formula,The respectively minimum energy storage capacity of energy storage device and maximum energy storage capacity,Respectively
For energy storage device energy storage changes within the t period minimum and maximum.
As further improvement of the invention, the constraint condition of the Optimal Operation Model of integrated energy system includes system electricity
Dynamic balance constraint, system heat balance constraint and Unit Commitment Constraint, specific constraint condition are as follows:
Systematic electricity equilibrium constraint are as follows:
In formula,For the electricity production of combined cycle unit i,For itself electricity consumption of integrated energy system,For t
Integrated energy system electric load amount in period；
System heat balance constraint condition are as follows:
In formula,For the steam production of combined cycle unit i, wt,sFor the steam storage of integrated energy system in the t period
Amount, wt-1,sFor the steam reserves of integrated energy system in the t-1 period, α is the steam heat waste of integrated energy system,For t
The thermic load amount of the integrated energy system of period；
Unit Commitment Constraint condition are as follows:
In formula, Δ zi,t,sFor the variable quantity of combined cycle unit i start and stop, zi,t,sIt is combined cycle unit i in t moment
Start and stop state is binary variable, zi,t-1,sStart and stop state for combined cycle unit i at the t-1 moment, Ni,sFor comprehensive energy
The maximum unit open amount that system allows.
As further improvement of the invention, step 2 is specifically included:
Step 201, defining uncertain energy scene set is ΩS, the number of iterations k=0, setting need delete not
Certainty energy scene set J is empty set；
Step 202, to each scene ωm, the scene nearest with it is determined, with minimum range multiplied by scene ωmProbability
pmObtain PDm, calculation formula is as follows:
PDm=pmmin{D(ωm,ωn)=pmmin{||q(ωm)-q(ωn)||2}
In formula, ωnFor with scene ωmNearest scene；
Step 203, from ΩSIn find scene index q, Pq=minPm；
In formula, PqFor minimum scene probability；
Step 204, uncertain energy scene set omega is updatedSThe uncertain energy scene set J deleted with needs,
That is ΩS=ΩS{ q }, J=J+ { q }, and more new scene Probability pm=pm+pq；
Step 205, step 201-203 is repeated, until reaching target scene number requirement.
The present invention also provides a kind of integrated energy system Optimal Scheduling with energy storage and wind-powered electricity generation, comprising:
Module is established, with the minimum integrated energy system optimization of the integrated energy system operating cost with energy storage and wind-powered electricity generation
Objective function, establish band uncertainty the energy integrated energy system Optimal Operation Model；
Wherein, integrated energy system operating cost includes combined cycle unit power generation, start and stop and producing steam cost, target letter
Number indicates are as follows:
In formula, E (F) is the desired value of integrated energy system operating cost, and s is scene serial number, and t is the one of T dispatching cycle
A period, Z are the combined cycle unit set in integrated energy system,For the combustion of combined cycle unit i in the t period
Expect cost,For the operation operating cost of combined cycle unit i in the t period, Et,iFor combined cycle unit i in the t period
The income that the outlet of bulk power grid is generated, Ot,iHeat supply network outlet vapor is generated for combined cycle unit i in the t period
Income, NsFor scene quantity, λsFor corresponding probability under scene s,The fuel price needed is run for combined cycle unit i,
fs,t,iFuel required for being run for combined cycle unit i,For in the t period, combined cycle unit i start and stop under s scene
Operation operating cost under state, zs,t,iFor combined cycle unit i start and stop state, bs,tFor the system valence electric to bulk power grid purchase
Lattice,For the electricity that system is bought to bulk power grid, pe,s,tThe price of electricity is sold to bulk power grid for system,For system Xiang great electricity
The electricity that net is sold,The price of steam is sold for system,The quantity of steam sold for system；
Screening module generates scene using importance scene analysis method, using importance scene generating method to wind-powered electricity generation
It is uncertain simulated, screening obtain integrated energy system Optimal Operation Model calculating scene；
Computing module, according to the parameters characteristic value of the integrated energy system of typing, is calculated in the case where calculating scene
To the Optimized Operation parameter value of integrated energy system；
Wherein, Optimized Operation parameter value includes combined cycle unit parameter, micro turbine parameter and energy storage device parameter；
Scheduler module selects the combined cycle in integrated energy system according to the Optimized Operation parameter value being calculated
The Optimization Scheduling of unit operation and start and stop is adjusted scheduling a few days ago.
It as further improvement of the invention, establishes in module, the Optimal Operation Model of integrated energy system includes joint
The Optimal Operation Model of Cycle Unit, micro turbine and energy storage device, specific as follows:
Combined cycle unit is collectively constituted by gas turbine and preboiler, steam turbine, the optimization of combined cycle unit
Scheduling model are as follows:
In formula, Qcc,i,t,sFor combined cycle unit i production capacity, aiFor the fitting coefficient of combined cycle unit i, i=1,2,3,
4,5,6,For the evacuating valve aperture of combined cycle unit i, zcc,i,t,sFor the start and stop state of Unit erriger i, fcc,i,t,s
For the burnup amount of Unit erriger i；
The Optimal Operation Model of micro turbine are as follows:
In formula, Qgt,i,t,sFor micro turbine production capacity, zgt,i,t,sFor the start and stop state of micro turbine, fgt,i,t,sFor the combustion of micro turbine
Consumption, biFor the fitting coefficient of micro turbine, i=1,2,3；
The Optimal Operation Model of energy storage device are as follows:
In formula,The respectively minimum energy storage capacity of energy storage device and maximum energy storage capacity,Respectively
For energy storage device energy storage changes within the t period minimum and maximum.
As further improvement of the invention, the constraint condition of the Optimal Operation Model of integrated energy system includes system electricity
Dynamic balance constraint, system heat balance constraint and Unit Commitment Constraint, specific constraint condition are as follows:
Systematic electricity equilibrium constraint are as follows:
In formula,For the electricity production of combined cycle unit i,For itself electricity consumption of integrated energy system,For t
Integrated energy system electric load amount in period；
System heat balance constraint condition are as follows:
In formula,For the steam production of combined cycle unit i, wt,sFor the steam storage of integrated energy system in the t period
Amount, wt-1,sFor the steam reserves of integrated energy system in the t-1 period, α is the steam heat waste of integrated energy system,When for t
Between section integrated energy system thermic load amount；
Unit Commitment Constraint condition are as follows:
In formula, Δ zi,t,sFor the variable quantity of combined cycle unit i start and stop, zi,t,sIt is combined cycle unit i in t moment
Start and stop state is binary variable, zi,t-1,sStart and stop state for combined cycle unit i at the t-1 moment, Ni,sFor comprehensive energy
The maximum unit open amount that system allows.
As further improvement of the invention, screening module is specifically included:
Definition module, defining uncertain energy scene set is ΩS, the number of iterations k=0, setting need to delete
Uncertain energy scene set J be empty set；
Determining module, to each scene ωm, the scene nearest with it is determined, with minimum range multiplied by scene ωm's
Probability pmObtain PDm, calculation formula is as follows:
PDm=pmmin{D(ωm,ωn)=pmmin{||q(ωm)-q(ωn)||2}
In formula, ωnFor with scene ωmNearest scene；
Index module, from ΩSIn find scene index q, Pq=minPm；
In formula, PqFor minimum scene probability；
Update module updates uncertain energy scene set omegaSThe uncertain energy scene collection deleted with needs
Close J, i.e. ΩS=ΩS{ q }, J=J+ { q }, and more new scene Probability pm=pm+pq；
Replicated blocks repeat definition module, determining module and index module, want until reaching target scene number
It asks.
The invention has the benefit that
The uncertainty of wind-powered electricity generation is portrayed using scene analysis method, and scene is divided using importance sampling method
Analysis, compared with traditional scene generating method, under conditions of not reducing accuracy, cost is relatively low for calculating.To (cold containing CCHP
Co-generation unit) RIES (regional complex energy resource system) can by the thermoelectricity duty ratio of ESS (energy storage) systems stabilisation, solve
The operation constraint of its thermoelectricity of coupling, improves efficiency of energy utilization.Important component of the natural gas network as energy internet, with
Electric power energy compared with the heating power energy have can scale stored for extended periods advantage, the present invention and traditional integrated energy system
Optimization Scheduling is compared, and the operating scheme obtained by Optimal Operation Model is flexibly adjusted under the scene that different wind-powered electricity generations export
It is whole, integrated system economy is improved, while also reducing and giving the influence of power grid bring by wind-powered electricity generation output pulsation, had more preferable
Stability and reliability.
Detailed description of the invention
Fig. 1 is a kind of stream of the integrated energy system Optimization Scheduling with energy storage and wind-powered electricity generation described in the embodiment of the present invention
Journey schematic diagram；
Fig. 2 is a kind of structural schematic diagram of the integrated energy system with energy storage and wind-powered electricity generation described in the embodiment of the present invention；
Fig. 3 generates for wind power plant scape in a kind of integrated energy system with energy storage and wind-powered electricity generation described in the embodiment of the present invention
Figure；
Fig. 4 is wind power plant scape abatement in a kind of integrated energy system with energy storage and wind-powered electricity generation described in the embodiment of the present invention
Figure；
Fig. 5 is a kind of knot of the integrated energy system Optimal Scheduling with energy storage and wind-powered electricity generation described in the embodiment of the present invention
Structure schematic diagram.
Specific embodiment
The present invention is described in further detail below by specific embodiment and in conjunction with attached drawing.
Embodiment 1, a kind of integrated energy system Optimization Scheduling with energy storage and wind-powered electricity generation described in the embodiment of the present invention,
Based on integrated energy system as shown in Figure 2, this method first uses the inverse transformation methods of sampling to generate a large amount of scene samples, using weight
The property the wanted method of sampling selects scene sample, is modeled with this method to wind power output power randomness, obtain due to
Wind power output power predicts influence of the error uncertainty to regional complex energy resource system Optimized Operation, finally by Mathematical Planning
Method calculates scene abatement rear region integrated energy system Optimal Operation Model the Optimized Operation result of acquisition system.Such as Fig. 1
Shown, this method specifically includes:
Step 1, with the mesh of the minimum integrated energy system optimization of the integrated energy system operating cost with energy storage and wind-powered electricity generation
Scalar functions establish the Optimal Operation Model of the integrated energy system with the uncertain energy；
Wherein, integrated energy system operating cost includes combined cycle unit power generation, start and stop and producing steam cost, target letter
Number indicates are as follows:
In formula, E (F) is the desired value of integrated energy system operating cost, and s is scene serial number, and t is the one of T dispatching cycle
A period, Z are the combined cycle unit set in integrated energy system,For the combustion of combined cycle unit i in the t period
Expect cost,For the operation operating cost of combined cycle unit i in the t period, Et,iFor combined cycle unit i in the t period
The income that the outlet of bulk power grid is generated, while Et,iIt can be negative value, Ot,iIt is combined cycle unit i in the t period to heat
Net outlet vapor and the income generated, NsFor scene quantity, λsFor corresponding probability under scene s,For combined cycle unit i fortune
The fuel price that row needs, fs,t,iFuel required for being run for combined cycle unit i,For in the t period, under s scene
Operation operating cost under combined cycle unit i start and stop state, zs,t,iFor combined cycle unit i start and stop state, bs,tFor system to
The price of bulk power grid purchase electricity,For the electricity that system is bought to bulk power grid, pe,s,tThe valence of electricity is sold to bulk power grid for system
Lattice,For the electricity that system is sold to bulk power grid,The price of steam is sold for system,The steam sold for system
Amount.
The Optimal Operation Model of the integrated energy system of foundation includes the excellent of combined cycle unit, micro turbine and energy storage device
Change scheduling model, specific as follows:
(1) combined cycle unit is collectively constituted by gas turbine and preboiler, steam turbine, influences the main of its performance
Because being known as: environment temperature, air absolute humidity, height above sea level, air inlet pressure loss, exhaust outlet back pressure and part load ratio
Deng.For simplicity, the present invention will affect factor be selected as power generation, producing steam power output and corresponding fuel consumption and extraction valve
Door aperture.Obtain the Optimal Operation Model of combined cycle unit are as follows:
In formula, Qcc,i,t,sFor combined cycle unit i production capacity, aiFor the fitting coefficient of combined cycle unit i, i=1,2,3,
4,5,6,For the evacuating valve aperture of combined cycle unit i, zcc,i,t,sFor the start and stop state of Unit erriger i, fcc,i,t,s
For the burnup amount of Unit erriger i.
(2) in integrated energy system, the micro turbine most of the time is operation at part load state.Unit part load ratio
Difference can all influence the index variations of micro turbine.Therefore, micro turbine is simply modeled according only to the dosage of fuel.It obtains
The Optimal Operation Model of micro turbine are as follows:
In formula, Qgt,i,t,sFor micro turbine production capacity, zgt,i,t,sFor the start and stop state of micro turbine, fgt,i,t,sFor the combustion of micro turbine
Consumption, biFor the fitting coefficient of micro turbine, i=1,2,3.
(3) Optimal Operation Model of energy storage device are as follows:
In formula,The respectively minimum energy storage capacity of energy storage device and maximum energy storage capacity,Respectively
For energy storage device energy storage changes within the t period minimum and maximum.
Further, the constraint condition of the Optimal Operation Model of integrated energy system is established, including systematic electricity Constraints of Equilibrium,
System heat balance constraint and Unit Commitment Constraint, specific constraint condition are as follows:
Systematic electricity equilibrium constraint are as follows:
In formula,For the electricity production of combined cycle unit i,For itself electricity consumption of integrated energy system,For t
Integrated energy system electric load amount in period；
System heat balance constraint condition are as follows:
In formula,For the steam production of combined cycle unit i, wt,sFor the steam storage of integrated energy system in the t period
Amount, wt-1,sFor the steam reserves of integrated energy system in the t-1 period, α is the steam heat waste of integrated energy system,For t
The thermic load amount of the integrated energy system of period；
Unit Commitment Constraint condition are as follows:
In formula, Δ zi,t,sFor the variable quantity of combined cycle unit i start and stop, zi,t,sIt is combined cycle unit i in t moment
Start and stop state is binary variable, zi,t-1,sStart and stop state for combined cycle unit i at the t-1 moment, Ni,sFor comprehensive energy
The maximum unit open amount that system allows.
Step 2, scene is generated using importance scene analysis method, using importance scene generating method to the not true of wind-powered electricity generation
Surely it is simulated, screening obtains the calculating scene of the Optimal Operation Model of integrated energy system, the wind-powered electricity generation scene of generation and screening
Obtained wind-powered electricity generation scene is as shown in Figure 3 and Figure 4.The step specifically includes:
Step 201, defining uncertain energy scene set is ΩS, the number of iterations k=0, setting need delete not
Certainty energy scene set J is empty set；
Step 202, to each scene ωm, the scene nearest with it is determined, with minimum range multiplied by scene ωmProbability
pmObtain PDm, calculation formula is as follows:
PDm=pmmin{D(ωm,ωn)=pmmin{||q(ωm)-q(ωn)||2}
In formula, ωnFor with scene ωmNearest scene；
Step 203, from ΩSIn find scene index q, Pq=minPm；
In formula, PqFor minimum scene probability；
Step 204, uncertain energy scene set omega is updatedSThe uncertain energy scene set J deleted with needs,
That is ΩS=ΩS{ q }, J=J+ { q }, and more new scene Probability pm=pm+pq；
Step 205, step 201-203 is repeated, until reaching target scene number requirement.
Step 3, it in the case where calculating scene, according to the parameters characteristic value of the integrated energy system of typing, is calculated comprehensive
Close the Optimized Operation parameter value of energy resource system；
Wherein, Optimized Operation parameter value includes combined cycle unit parameter, micro turbine parameter and energy storage device parameter；
Step 4, according to the Optimized Operation parameter value being calculated, the combined cycle unit fortune in integrated energy system is selected
Capable and start and stop Optimization Schedulings are adjusted scheduling a few days ago.
Embodiment 2, a kind of integrated energy system Optimal Scheduling with energy storage and wind-powered electricity generation, as shown in Figure 5, comprising:
Module is established, with the minimum integrated energy system optimization of the integrated energy system operating cost with energy storage and wind-powered electricity generation
Objective function, establish band uncertainty the energy integrated energy system Optimal Operation Model；
Wherein, integrated energy system operating cost includes combined cycle unit power generation, start and stop and producing steam cost, target letter
Number indicates are as follows:
In formula, E (F) is the desired value of integrated energy system operating cost, and s is scene serial number, and t is the one of T dispatching cycle
A period, Z are the combined cycle unit set in integrated energy system,For the fuel of combined cycle unit i in the t period
Cost,For the operation operating cost of combined cycle unit i in the t period, Et,iIt is i pairs of combined cycle unit in the t period
The outlet of bulk power grid and the income generated, Ot,iThe receipts that heat supply network outlet vapor is generated for combined cycle unit i in the t period
Benefit, NsFor scene quantity, λsFor corresponding probability under scene s,The fuel price needed is run for combined cycle unit i,
fs,t,iFuel required for being run for combined cycle unit i,For in the t period, combined cycle unit i start and stop shape under s scene
Operation operating cost under state, zs,t,iFor combined cycle unit i start and stop state, bs,tThe price of electricity is bought to bulk power grid for system,For the electricity that system is bought to bulk power grid, pe, s, t are the price that system sells electricity to bulk power grid,It is system to bulk power grid
The electricity sold,The price of steam is sold for system,The quantity of steam sold for system；
Screening module generates scene using importance scene analysis method, using importance scene generating method to wind-powered electricity generation
It is uncertain simulated, screening obtain integrated energy system Optimal Operation Model calculating scene；
Computing module, according to the parameters characteristic value of the integrated energy system of typing, is calculated in the case where calculating scene
To the Optimized Operation parameter value of integrated energy system；
Wherein, Optimized Operation parameter value includes combined cycle unit parameter, micro turbine parameter and energy storage device parameter；
Scheduler module selects the combined cycle in integrated energy system according to the Optimized Operation parameter value being calculated
The Optimization Scheduling of unit operation and start and stop is adjusted scheduling a few days ago.
Further, it establishes in module, the Optimal Operation Model of integrated energy system includes combined cycle unit, micro turbine
It is specific as follows with the Optimal Operation Model of energy storage device:
Combined cycle unit is collectively constituted by gas turbine and preboiler, steam turbine, the optimization of combined cycle unit
Scheduling model are as follows:
In formula, Qcc,i,t,sFor combined cycle unit i production capacity, aiFor the fitting coefficient of combined cycle unit i, i=1,2,3,
4,5,6,For the evacuating valve aperture of combined cycle unit i, zcc,i,t,sFor the start and stop state of combined cycle unit i,
fcc,i,t,sFor the burnup amount of combined cycle unit i；
The Optimal Operation Model of micro turbine are as follows:
In formula, Qgt,i,t,sFor micro turbine production capacity, zgt,i,t,sFor the start and stop state of micro turbine, fgt,i,t,sFor the combustion of micro turbine
Consumption, biFor the fitting coefficient of micro turbine, i=1,2,3；
The Optimal Operation Model of energy storage device are as follows:
In formula,The respectively minimum energy storage capacity of energy storage device and maximum energy storage capacity,Respectively
For energy storage device energy storage changes within the t period minimum and maximum.
Further, the constraint condition of the Optimal Operation Model of integrated energy system include systematic electricity Constraints of Equilibrium,
System heat balance constraint and Unit Commitment Constraint, specific constraint condition are as follows:
Systematic electricity equilibrium constraint are as follows:
In formula,For the electricity production of combined cycle unit i,For itself electricity consumption of integrated energy system,For t
Integrated energy system electric load amount in period；
System heat balance constraint condition are as follows:
In formula,For the steam production of combined cycle unit i, wt,sFor the steam storage of integrated energy system in the t period
Amount, wt-1,sFor the steam reserves of integrated energy system in the t-1 period, α is the steam heat waste of integrated energy system,For t
The thermic load amount of the integrated energy system of period；
Unit Commitment Constraint condition are as follows:
In formula, Δ zi,t,sFor the variable quantity of combined cycle unit i start and stop, zi,t,sFor combined cycle unit i start and stop state,
For binary variable, zi,t-1,sStart and stop state for combined cycle unit i at the t-1 moment, Ni,sAllow for integrated energy system
Maximum unit open amount.
Further, screening module specifically includes:
Definition module, defining uncertain energy scene set is ΩS, the number of iterations k=0, setting need to delete
Uncertain energy scene set J be empty set；
Determining module, to each scene ωm, the scene nearest with it is determined, with minimum range multiplied by scene ωm's
Probability pmObtain PDm, calculation formula is as follows:
PDm=pmmin{D(ωm,ωn)=pmmin{||q(ωm)-q(ωn)||2}
In formula, ωnFor with scene ωmNearest scene；
Index module, from ΩSIn find scene index q, Pq=minPm；
In formula, PqFor minimum scene probability；
Update module updates uncertain energy scene set omegaSThe uncertain energy scene collection deleted with needs
Close J, i.e. ΩS=ΩS{ q }, J=J+ { q }, and more new scene Probability pm=pm+pq；
Replicated blocks repeat definition module, determining module and index module, want until reaching target scene number
It asks.
The foregoing is only a preferred embodiment of the present invention, is not intended to restrict the invention, for the skill of this field
For art personnel, the invention may be variously modified and varied.All within the spirits and principles of the present invention, made any to repair
Change, equivalent replacement, improvement etc., should all be included in the protection scope of the present invention.
Claims (8)
1. a kind of integrated energy system Optimization Scheduling with energy storage and wind-powered electricity generation characterized by comprising
Step 1, with the target letter of the minimum integrated energy system optimization of the integrated energy system operating cost with energy storage and wind-powered electricity generation
Number establishes the Optimal Operation Model of the integrated energy system with the uncertain energy；
Wherein, integrated energy system operating cost includes combined cycle unit power generation, start and stop and producing steam cost, objective function table
It is shown as:
In formula, E (F) is the desired value of integrated energy system operating cost, and s is scene serial number, when t is one of T dispatching cycle
Between section, Z be integrated energy system in combined cycle unit set,For combined cycle unit i in the t period fuel at
This,For the operation operating cost of combined cycle unit i in the t period, Et,iIt is combined cycle unit i in the t period to big
The outlet of power grid and the income generated, Ot,iFor the income that combined cycle unit i in the t period generates heat supply network outlet vapor,
NsFor scene quantity, λsFor corresponding probability under scene s,For the fuel price that combined cycle unit i operation needs, fs,t,i
Fuel required for being run for combined cycle unit i,For in the t period, under s scene under combined cycle unit i start and stop state
Operation operating cost, zs,t,iFor combined cycle unit i start and stop state, bs,tThe price of electricity is bought to bulk power grid for system,
For the electricity that system is bought to bulk power grid, pe,s,tThe price of electricity is sold to bulk power grid for system,It is sold for system to bulk power grid
Electricity,The price of steam is sold for system,The quantity of steam sold for system；
Step 2, using importance scene analysis method generate scene, using importance scene generating method to wind-powered electricity generation do not know into
Row simulation, screening obtain the calculating scene of the Optimal Operation Model of integrated energy system；
Step 3, in the case where calculating scene, according to the parameters characteristic value of the integrated energy system of typing, comprehensive energy is calculated
The Optimized Operation parameter value of source system；
Wherein, Optimized Operation parameter value includes combined cycle unit parameter, micro turbine parameter and energy storage device parameter；
Step 4, according to the Optimized Operation parameter value being calculated, select combined cycle unit operation in integrated energy system and
The Optimization Scheduling of start and stop is adjusted scheduling a few days ago.
2. integrated energy system Optimization Scheduling according to claim 1, which is characterized in that in step 1, comprehensive energy
The Optimal Operation Model of system includes the Optimal Operation Model of combined cycle unit, micro turbine and energy storage device, specific as follows:
Combined cycle unit is collectively constituted by gas turbine and preboiler, steam turbine, the Optimized Operation of combined cycle unit
Model are as follows:
In formula, Qcc,i,t,sFor combined cycle unit i production capacity, aiFor the fitting coefficient of combined cycle unit i, i=1,2,3,4,5,
6,For the evacuating valve aperture of combined cycle unit i, zcc,i,t,sFor the start and stop state of Unit erriger i, fcc,i,t,sFor connection
Close the burnup amount of unit i；
The Optimal Operation Model of micro turbine are as follows:
In formula, Qgt,i,t,sFor micro turbine production capacity, zgt,i,t,sFor the start and stop state of micro turbine, fgt,i,t,sFor the burnup amount of micro turbine,
biFor the fitting coefficient of micro turbine, i=1,2,3；
The Optimal Operation Model of energy storage device are as follows:
In formula,The respectively minimum energy storage capacity of energy storage device and maximum energy storage capacity,Respectively store up
It can device energy storage changes within the t period minimum and maximum.
3. integrated energy system Optimization Scheduling according to claim 2, which is characterized in that integrated energy system it is excellent
The constraint condition for changing scheduling model includes systematic electricity Constraints of Equilibrium, system heat balance constrains and Unit Commitment Constraint, specifically about
Beam condition is as follows:
Systematic electricity equilibrium constraint are as follows:
In formula,For the electricity production of combined cycle unit i,For itself electricity consumption of integrated energy system,For the t time
Integrated energy system electric load amount in section；
System heat balance constraint condition are as follows:
In formula,For the steam production of combined cycle unit i, wt,sFor the steam reserves of integrated energy system in the t period,
wt-1,sFor the steam reserves of integrated energy system in the t-1 period, α is the steam heat waste of integrated energy system,For the t time
The thermic load amount of the integrated energy system of section；
Unit Commitment Constraint condition are as follows:
In formula, Δ zi,t,sFor the variable quantity of combined cycle unit i start and stop, zi,t,sFor combined cycle unit i t moment start and stop shape
State is binary variable, zi,t-1,sStart and stop state for combined cycle unit i at the t-1 moment, Ni,sPermit for integrated energy system
Perhaps maximum unit open amount.
4. integrated energy system Optimization Scheduling according to claim 1, which is characterized in that step 2 specifically includes:
Step 201, defining uncertain energy scene set is ΩS, the number of iterations k=0, what setting needed to delete does not know
Performance source scene set J is empty set；
Step 202, to each scene ωm, the scene nearest with it is determined, with minimum range multiplied by scene ωmProbability pm?
To PDm, calculation formula is as follows:
PDm=pmmin{D(ωm,ωn)=pmmin{||q(ωm)-q(ωn)||2}
In formula, ωnFor with scene ωmNearest scene；
Step 203, from ΩSIn find scene index q, Pq=minPm；
In formula, PqFor minimum scene probability；
Step 204, uncertain energy scene set omega is updatedSThe uncertain energy scene set J, i.e. Ω deleted with needsS
=ΩS{ q }, J=J+ { q }, and more new scene Probability pm=pm+pq；
Step 205, step 201-203 is repeated, until reaching target scene number requirement.
5. a kind of integrated energy system Optimal Scheduling with energy storage and wind-powered electricity generation characterized by comprising
Module is established, with the mesh of the minimum integrated energy system optimization of the integrated energy system operating cost with energy storage and wind-powered electricity generation
Scalar functions establish the Optimal Operation Model of the integrated energy system with the uncertain energy；
Wherein, integrated energy system operating cost includes combined cycle unit power generation, start and stop and producing steam cost, objective function table
It is shown as:
In formula, E (F) is the desired value of integrated energy system operating cost, and s is scene serial number, when t is one of T dispatching cycle
Between section, Z be integrated energy system in combined cycle unit set,For combined cycle unit i in the t period fuel at
This,For the operation operating cost of combined cycle unit i in the t period, Et,iIt is combined cycle unit i in the t period to big
The outlet of power grid and the income generated, Ot,iFor the income that combined cycle unit i in the t period generates heat supply network outlet vapor,
NsFor scene quantity, λsFor corresponding probability under scene s,For the fuel price that combined cycle unit i operation needs, fs,t,i
Fuel required for being run for combined cycle unit i,For in the t period, under s scene under combined cycle unit i start and stop state
Operation operating cost, zs,t,iFor combined cycle unit i start and stop state, bs,tThe price of electricity is bought to bulk power grid for system,
For the electricity that system is bought to bulk power grid, pe,s,tThe price of electricity is sold to bulk power grid for system,It is sold for system to bulk power grid
Electricity,The price of steam is sold for system,The quantity of steam sold for system；
Screening module, using importance scene analysis method generate scene, using importance scene generating method to wind-powered electricity generation not
Determination is simulated, and screening obtains the calculating scene of the Optimal Operation Model of integrated energy system；
Computing module, according to the parameters characteristic value of the integrated energy system of typing, is calculated comprehensive in the case where calculating scene
Close the Optimized Operation parameter value of energy resource system；
Wherein, Optimized Operation parameter value includes combined cycle unit parameter, micro turbine parameter and energy storage device parameter；
Scheduler module selects the combined cycle unit in integrated energy system according to the Optimized Operation parameter value being calculated
The Optimization Scheduling of operation and start and stop is adjusted scheduling a few days ago.
6. integrated energy system Optimal Scheduling according to claim 5, which is characterized in that it establishes in module, it is comprehensive
The Optimal Operation Model of energy resource system includes the Optimal Operation Model of combined cycle unit, micro turbine and energy storage device, specifically such as
Under:
Combined cycle unit is collectively constituted by gas turbine and preboiler, steam turbine, the Optimized Operation of combined cycle unit
Model are as follows:
In formula, Qcc,i,t,sFor combined cycle unit i production capacity, aiFor the fitting coefficient of combined cycle unit i, i=1,2,3,4,5,
6,For the evacuating valve aperture of combined cycle unit i, zcc,i,t,sFor the start and stop state of combined cycle unit i, fcc,i,t,s
For the burnup amount of combined cycle unit i；
The Optimal Operation Model of micro turbine are as follows:
In formula, Qgt,i,t,sFor micro turbine production capacity, zgt,i,t,sFor the start and stop state of micro turbine, fgt,i,t,sFor the burnup amount of micro turbine,
biFor the fitting coefficient of micro turbine, i=1,2,3；
The Optimal Operation Model of energy storage device are as follows:
In formula,The respectively minimum energy storage capacity of energy storage device and maximum energy storage capacity,Respectively store up
It can device energy storage changes within the t period minimum and maximum.
7. integrated energy system Optimal Scheduling according to claim 6, which is characterized in that integrated energy system it is excellent
The constraint condition for changing scheduling model includes systematic electricity Constraints of Equilibrium, system heat balance constrains and Unit Commitment Constraint, specifically about
Beam condition is as follows:
Systematic electricity equilibrium constraint are as follows:
In formula,For the electricity production of combined cycle unit i,For itself electricity consumption of integrated energy system,For the t time
Integrated energy system electric load amount in section；
System heat balance constraint condition are as follows:
In formula,For the steam production of combined cycle unit i, wt,sFor the steam reserves of integrated energy system in the t period,
wt-1,sFor the steam reserves of integrated energy system in the t-1 period, α is the steam heat waste of integrated energy system,For the t time
The thermic load amount of the integrated energy system of section；
Unit Commitment Constraint condition are as follows:
In formula, Δ zi,t,sFor the variable quantity of combined cycle unit i start and stop, zi,t,sFor combined cycle unit i t moment start and stop shape
State is binary variable, zi,t-1,sStart and stop state for combined cycle unit i at the t-1 moment, Ni,sPermit for integrated energy system
Perhaps maximum unit open amount.
8. integrated energy system Optimal Scheduling according to claim 5, which is characterized in that screening module is specifically wrapped
It includes:
Definition module, defining uncertain energy scene set is ΩS, the number of iterations k=0, setting need delete not really
Qualitative energy scene set J is empty set；
Determining module, to each scene ωm, the scene nearest with it is determined, with minimum range multiplied by scene ωmProbability
pmObtain PDm, calculation formula is as follows:
PDm=pmmin{D(ωm,ωn)=pmmin{||q(ωm)-q(ωn)||2}
In formula, ωnFor with scene ωmNearest scene；
Index module, from ΩSIn find scene index q, Pq=minPm；
In formula, PqFor minimum scene probability；
Update module updates uncertain energy scene set omegaSThe uncertain energy scene set J deleted with needs, i.e.,
ΩS=ΩS{ q }, J=J+ { q }, and more new scene Probability pm=pm+pq；
Replicated blocks repeat definition module, determining module and index module, until reaching target scene number requirement.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910224272.2A CN109784591A (en) | 2019-03-22 | 2019-03-22 | A kind of integrated energy system Optimization Scheduling and system with energy storage and wind-powered electricity generation |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910224272.2A CN109784591A (en) | 2019-03-22 | 2019-03-22 | A kind of integrated energy system Optimization Scheduling and system with energy storage and wind-powered electricity generation |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN109784591A true CN109784591A (en) | 2019-05-21 |
Family
ID=66491214
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910224272.2A Pending CN109784591A (en) | 2019-03-22 | 2019-03-22 | A kind of integrated energy system Optimization Scheduling and system with energy storage and wind-powered electricity generation |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN109784591A (en) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110717688A (en) * | 2019-10-16 | 2020-01-21 | 云南电网有限责任公司 | Water, wind and light short-term combined optimization scheduling method considering new energy output uncertainty |
| CN111291963A (en) * | 2019-12-30 | 2020-06-16 | 天津大学 | Park comprehensive energy system planning method for coordinating economy and reliability |
| CN113328470A (en) * | 2021-06-10 | 2021-08-31 | 国家电网有限公司 | Multi-state energy capacity and energy storage comprehensive utilization system |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2016211989A (en) * | 2015-05-11 | 2016-12-15 | 三菱電機株式会社 | Laser radar device and observation method |
| CN106372742A (en) * | 2016-08-19 | 2017-02-01 | 天津大学 | Power-to-gas multi-source energy storage type microgrid day-ahead optimal economic dispatching method |
| CN107895971A (en) * | 2017-11-28 | 2018-04-10 | 国网山东省电力公司德州供电公司 | Regional Energy internet dispatching method based on stochastic programming and Model Predictive Control |
-
2019
- 2019-03-22 CN CN201910224272.2A patent/CN109784591A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2016211989A (en) * | 2015-05-11 | 2016-12-15 | 三菱電機株式会社 | Laser radar device and observation method |
| CN106372742A (en) * | 2016-08-19 | 2017-02-01 | 天津大学 | Power-to-gas multi-source energy storage type microgrid day-ahead optimal economic dispatching method |
| CN107895971A (en) * | 2017-11-28 | 2018-04-10 | 国网山东省电力公司德州供电公司 | Regional Energy internet dispatching method based on stochastic programming and Model Predictive Control |
Non-Patent Citations (1)
| Title |
|---|
| 刘涤尘等: "含冷热电联供及储能的区域综合能源系统运行优化", 《电力系统自动化》 * |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110717688A (en) * | 2019-10-16 | 2020-01-21 | 云南电网有限责任公司 | Water, wind and light short-term combined optimization scheduling method considering new energy output uncertainty |
| CN110717688B (en) * | 2019-10-16 | 2022-07-01 | 云南电网有限责任公司 | Water, wind and light short-term combined optimization scheduling method considering new energy output uncertainty |
| CN111291963A (en) * | 2019-12-30 | 2020-06-16 | 天津大学 | Park comprehensive energy system planning method for coordinating economy and reliability |
| CN111291963B (en) * | 2019-12-30 | 2023-06-16 | 天津大学 | Park comprehensive energy system planning method for coordinating economy and reliability |
| CN113328470A (en) * | 2021-06-10 | 2021-08-31 | 国家电网有限公司 | Multi-state energy capacity and energy storage comprehensive utilization system |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Groscurth et al. | Modeling of energy-services supply systems | |
| Entezari et al. | Energetical, exergetical and economical optimization analysis of combined power generation system of gas turbine and Stirling engine | |
| Best et al. | Modeling and optimization of building mix and energy supply technology for urban districts | |
| Afgan et al. | Multi-criteria assessment of new and renewable energy power plants | |
| CN109784591A (en) | A kind of integrated energy system Optimization Scheduling and system with energy storage and wind-powered electricity generation | |
| Ünal et al. | Optimisation studies on tri‐generation: a review | |
| CN106786509B (en) | Based on the thermo-electrically combined scheduling method of more scenario simulations under large-scale wind power integration | |
| CN104268800A (en) | Wind power integration peak-load regulating balance judgment method based on scene library | |
| CN116992548B (en) | Design optimization method and system for building and regional comprehensive energy system | |
| CN107220735A (en) | A kind of multivariable rural power grids power predicating method of power industry classification | |
| CN109583012B (en) | Advanced adiabatic compressed air energy storage and wind power cooperative operation scheduling method and device | |
| Zhu et al. | Design optimization and uncertainty analysis of multi-energy complementary system for residential building in isolated area | |
| Lv et al. | Optimal capacity configuration model of power-to-gas equipment in wind-solar sustainable energy systems based on a novel spatiotemporal clustering algorithm: A pathway towards sustainable development | |
| CN115115193A (en) | Low-carbon analysis and optimization planning method for industrial park | |
| CN113158547B (en) | Regional comprehensive energy system optimal configuration method considering economy and reliability | |
| CN102184450A (en) | Modeling method for combustion optimization of porous medium combustor | |
| Ren et al. | Life-cycle-based multi-objective optimal design and analysis of distributed multi-energy systems for data centers | |
| CN104184172B (en) | A kind of microgrid energy control method, GPU processors and system | |
| CN110765726B (en) | Intelligent generation system of energy network planning diagram | |
| CN113344357B (en) | Design method of comprehensive energy system based on frequency domain dynamic index | |
| CN116128154A (en) | Energy optimal configuration method and device for agricultural park comprehensive energy system | |
| Wang et al. | Modelling of the whole process of a university campus CHP power plant and dynamic performance study | |
| Pan et al. | Multi-objective optimization for building performance design considering thermal comfort and energy consumption | |
| CN112734451B (en) | Green house multi-energy system based on non-cooperative game and optimization method | |
| CN112670997A (en) | Electric heating energy source system time sequence probability load flow calculation method considering photovoltaic uncertainty |
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: 20190521 |
|
| RJ01 | Rejection of invention patent application after publication |