CN108039736A - A kind of large capacity heat accumulation storing up electricity coordinated scheduling method for improving wind-powered electricity generation and receiving ability - Google Patents
A kind of large capacity heat accumulation storing up electricity coordinated scheduling method for improving wind-powered electricity generation and receiving ability Download PDFInfo
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- CN108039736A CN108039736A CN201711121854.5A CN201711121854A CN108039736A CN 108039736 A CN108039736 A CN 108039736A CN 201711121854 A CN201711121854 A CN 201711121854A CN 108039736 A CN108039736 A CN 108039736A
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
- H02J3/46—Controlling of the sharing of output between the generators, converters, or transformers
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/28—Arrangements for balancing of the load in a network by storage of energy
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/28—Arrangements for balancing of the load in a network by storage of energy
- H02J3/32—Arrangements for balancing of the load in a network by storage of energy using batteries with converting means
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- 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
- Y02E10/00—Energy generation through renewable energy sources
- Y02E10/70—Wind energy
- Y02E10/76—Power conversion electric or electronic aspects
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- 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
- Y02E70/00—Other energy conversion or management systems reducing GHG emissions
- Y02E70/30—Systems combining energy storage with energy generation of non-fossil origin
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Abstract
A kind of large capacity heat accumulation storing up electricity coordinated scheduling method for improving wind-powered electricity generation and receiving ability of the present invention, belongs to electric system and heating system coordinated operation field.The present invention is proposed on the basis of the multi-source system that fired power generating unit, wind power plant and cogeneration units are formed is planned a few days ago, increase chemical energy storage and the rolling planning of heat accumulation electric boiler and on-line planning, in a few days remaining heat accumulation storing up electricity generation schedule is rollably corrected by rolling planning, constantly adjusted by on-line planning again, the basic operating point of heat accumulation storing up electricity is formulated, final online plan and the minor swing actually planned are undertaken by Automatic Generation Control heat accumulation power storage system.On the one hand, reduce conventional thermoelectric unit thermic load peak value, " electricity determining by heat " must generated output, increase network load valley using heat accumulation during night dip electricity price and storing up electricity, so as to reserve greater room for wind-powered electricity generation online, lifting wind-powered electricity generation receives ability.
Description
Technical field
The present invention relates to electric system and heating system coordinated operation field, particularly a kind of wind-powered electricity generation that improves receives ability
Large capacity heat accumulation storing up electricity coordinated scheduling method
Technical background
The intrinsic energy density of wind-powered electricity generation is low, randomness, intermittent feature, causes its scale is grid-connected to jeopardize operation of power networks
Safety and stability, very big challenge is brought to power grid frequency modulation and spare capacity planning, so as to cause current major wind power plant wind-abandoning phenomenon
Seriously, economic benefit is seriously affected.If wind-powered electricity generation installation account for installation total amount ratio it is less when, by traditional electric power network technique
And the means such as increase water power, Gas Generator Set, it can ensure power grid security substantially；But if proportion reaches 10% even more
Height, the peak modulation capacity of power grid and safe operation will face huge challenge.
Large-scale energy storage system has the characteristics that good dynamic response characteristic, long lifespan, reliability are high with it, is improving power grid
It is of interest both at home and abroad that wind-powered electricity generation, which receives capability realm,.Meanwhile in recent years high capacity cell energy storage technology be developed rapidly and
Using corresponding technology path is gradually clear, some typical energy-storage battery technologies tentatively possess applied to electric system
All various aspects such as frequency modulation, peak regulation." identity " transfer characteristic of energy-storage system fast and flexible during operation of power networks, goes out with wind-powered electricity generation
The time-varying characteristics of power form complementation, and wind storage, which combines, makes wind power output become opposite " controllable, adjustable ", improve power grid and receive wind-powered electricity generation
Ability.But electrochemical energy storage system is of high cost, to the three Norths containing high accounting wind-powered electricity generation " network system adaptability is strong, it is only capable of making single
Pure peak-load regulating supplement, to reducing power grid peak-valley difference, improves wind-powered electricity generation and receives ability effect limited.
In general, network load peak is on daytime, and night is at a low ebb, with heat supply network load, the peak valley of wind power output
Characteristic contrast, the i.e. variation tendency of heat supply network load, wind power output and network load are into reverse characteristic, and heat supply network load and wind
The variation tendency that electricity is contributed is then substantially into characteristic in the same direction.Since wind-abandoning phenomenon occurs mainly in the big hair of night wind-powered electricity generation, thermic load height
During peak, electric load low ebb, if wind-powered electricity generation can be converted into heat supply network peak adjusting heat source at this time, can be lifted wind electricity digestion rate and
Can reduce thermoelectricity unit for thermal peak and " electricity determining by heat " must generated output, improve peak load regulation network ability.Wind-power electricity generation is in itself
Have the characteristics that to demodulate peak, and the user that heats needs lasting thermal energy to heat, therefore only carried by wind-powered electricity generation heating electric boiler
It is that cannot be fully solved the scheme for stablizing heating for heating, in order to ensure that stable heat source, wind power heating are provided to heating user
It must be added to hold over system in system.In recent years, hold over system progress is very fast, and technology reaches its maturity, hold over system efficiency
Up to more than 2500MJ/m3, the thermal efficiency is up to 90%-97%.At full capacity after accumulation of heat, individually can continually and steadily heat 24 it is small when
More than, peak value heating 8 it is small when more than, fully meet wind power heating technical requirements.But current technology majority is not considered in electric heat supply
Install regenerative apparatus in system additional, and its governing speed can not participate in electric system primary frequency modulation.
The content of the invention
The present invention is proposed on the basis that the multi-source system that fired power generating unit, wind power plant and cogeneration units are formed is planned a few days ago
On, increase chemical energy storage and the rolling planning of heat accumulation electric boiler and on-line planning, rollably corrected by rolling planning in a few days remaining
Heat accumulation-storing up electricity generation schedule, then constantly adjusted by on-line planning, formulate the basic operating point of heat accumulation-storing up electricity, final online meter
The minor swing drawn and actually planned is undertaken by Automatic Generation Control heat accumulation-power storage system.
To achieve the above object, the present invention has following technical solution, comprises the following steps that：
Step 1, establish planned dispatching model a few days ago, and planned dispatching program formulates base according to short term predicted data a few days ago a few days ago
This plan a few days ago, basic scheduling scheme is sent in rolling planning scheduler program, and the dispatching cycle planned a few days ago is 24h,
15min is 1 scheduling slot, is updated 1 time every 24h, and object function is planned a few days ago should be using economy as target, and safety is constraint,
To encourage wind-powered electricity generation online, cost of wind power generation is disregarded in the scheduling model, with the minimum object function of system total consumption of coal amount：
In formula：F is system total consumption of coal amount, t；For n-th, the steam power plant thermoelectricity unit coal consumption amount of t periods i-th, t/h；For t period jth platform fired power generating unit coal consumption amounts, t/h；T be 1 dispatching cycle it is total when hop count；When Δ t dispatches for one
The time interval of section, h；R is steam power plant's sum；NiFor i-th steam power plant's thermoelectricity unit quantity；S is fired power generating unit sum；
Fired power generating unit consumption characteristic equation：
FCON=a0+a1P+a2P2 (2)
In formula：P is generated output, MW；a0a1a2For fitting coefficient
Thermoelectricity unit consumption characteristic equation：
FCHP=e0+e1P+e2D+e3P2+e4PD+e5D2 (3)
In formula：D is heat supply steam extraction amount, t/h；e0~e5For fitting coefficient.
Step 1.1, constraints, constraints include climbing for electric equilibrium, for thermal balance, unit output constraint, unit
Constraint, heat accumulation electric boiler units limits.
Step 1.1.1, for electric equilibrium
In formula：For the electrical power of i-th steam power plant of t periods, n-th thermoelectricity unit, MW；For t period jth platforms
Thermoelectricity electrical power, MW；Always surf the Internet power for t period wind power plants, MW；For l-th of institute of the steam power plant band of t periods i-th
The electrical power of heat exchange station peak regulation heat accumulation electric boiler consumption, MW；LiBy i-th steam power plant band heat exchange station sum.
Step 1.1.2 supplies thermal balance
If disregarding the heat exchange loss between heating system level-one net and two level net, heating system balances respectively by for thermal region：
In formula：Qt,i,jFor i-th institute of steam power plant l-th of heat exchange station of band (secondary heat networks) thermic load of t periods, GJ/h；
For i-th institute of steam power plant l-th of heat exchange station of band (secondary heat networks) peak regulation heat accumulation electric boiler thermal power of t periods, GJ/h；For t
N-th, the steam power plant thermoelectricity unit heating power of period i-th, GJ/h, its expression formula are
In formula：Dt,j,nFor the steam extraction amount of n-th, the steam power plant thermal power plant unit of t periods i-th, t/h；Δ H is steam enthalpy drop,
kJ/kg。
Step 1.1.3, unit output constrains
Dmin≤D≤Dmax (8)
0≤PCW≤PWF (10)
In formula：Respectively fired power generating unit output bound, MW；Dmin、DmaxRespectively thermoelectricity unit heat supply
Steam extraction speed bound, t/h；On its electricity is contributed when respectively thermoelectricity unit heat supply steam extraction speed is D
Lower limit, MW；PWFFor wind-powered electricity generation field prediction power, MW.
Step 1.1.4, unit ramp loss
In formula：The respectively climbing of fired power generating unit, landslide speed, MW/h； Respectively thermoelectricity
The climbing of unit, landslide speed, MW/h.
Step 1.1.5, heat accumulation electric boiler units limits
In formula：Respectively heat accumulation electric boiler electrical power bound, MW.
Step 2, establish rolling planning scheduling model, and rolling planning scheduler program is according to Extended short-term prediction data and unit
Real-time running data is rollably corrected to be planned a few days ago, and revised basic scheduling scheme is sent to on-line planning scheduler program
In；On the basis of plan a few days ago, rolling planning updates 1 time every 4h, is responsible for rolling the scheduling meter of remaining period in renewal 1d
Draw；This patent runs Income Maximum as object function using the association system of heat storage electric boiler joint energy storage, studies wind-powered electricity generation accumulation of heat
The Optimized Operation operation problem of formula electric boiler-electrochemical energy storage system, under non-direct-furnish pattern, using Income Maximum as target
Object function is
In formula：For t periods wind power plant wind-powered electricity generation amount is abandoned using what heat storage electric boiler and electrochemical energy storage dissolved；For t
The heat that period provides to heat supply company；Purchase of electricity for from the t periods to grid company；c1For wind-powered electricity generation rate for incorporation into the power network, member/
(kw·h)；c2For heat price, member/kJ； c3For preferential power purchase price, member/(kwh)；It can be seen that always from formula (14)
Revenue function is made of 3 parts, is respectively that wind power plant abandons the sale of electricity income of wind power generation, regenerative electrochemical using operating mode increase consumption
Boiler sells the cost of hot income and grill pan furnace system to grid company power purchase to heat supply company.
The heat that step 2.1, t periods provide to heat supply companyIt can be further represented as
In formula：α turns hot coefficient, GJ (MWh) for electricity；For in t period power purchase electricity be used for heat electric boiler directly to
The part of pipe network heat supply；Heat for from t periods heat-accumulator tank to pipe network heat supply；For the electricity of t periods electrochemical energy storage electric discharge
Amount.From formula (15) as can be seen that the heat provided to heat supply company is made of 3 parts, including electric boiler directly feeds heat supply public affairs
The heat of department, after electric boiler supplies heat and the electrochemical energy storage supply electric boiler conversion of heat supply company after heat-accumulator tank accumulation of heat
Supply the heat of heat supply company.
Step 2.2, t periods system can be further represented as to the electricity of power grid power purchase
In formula：To be used for heating the part that electric boiler is heat-accumulator tank heat accumulation heat supply in t period power purchase electricity；For t when
The electricity of section electrochemical energy storage storage charging.From formula (16) as can be seen that 3 can also be divided into from grid company power purchase electricity
Point, it is respectively electrochemical energy storage storing up electricity electricity, directly feeds the electric boiler power consumption of heat supply company and heated for heat-accumulator tank
Electric boiler use power consumption.
Step 2.3 constraints：Constraints abandons wind constraint, operating mode constraint, energy storage heat-storing device energy about including consumption
Beam, electric boiler power constraint, heat-accumulator tank accumulation of heat power constraint.
Step 2.3.1, wind constraint is abandoned
The optimal control method of heat storage electric boiler that this patent is studied fusion energy storage be premised on dissolving and abandon wind,
So t moment wind power plant to grid company sell abandon wind generated energy should be not more than wind power plant it is total abandon wind-powered electricity generation amountI.e.
Step 2.3.2, operating mode constrains
Under non-straight powering mode, wind power plant has different operating conditions with grid company and heat supply company respectively.No
Different constraints is shown as to the coordination optimization control problem studied with operating mode.
Purchase sale of electricity between wind power plant and grid company considers 2 kinds of situations.The first situation is that wind power plant allows daily
The fixed electricity of wind period additional issue is abandoned, this electricity is also the electricity that daily heat storage electric boiler is dissolved in the load valley period,
It is as defined in operating mode, i.e.,
Also a kind of operating mode situation, only requires that heat storage electric boiler is not less than wind-powered electricity generation in the electricity of load valley period power purchase
Field can be expressed as using the electricity for abandoning wind additional issue
The operating condition of heat storage electric boiler and heat supply company defines each moment to the lower limit of heat supply company heat supply, i.e.,
When optimizing, according to different operating mode situations different operating modes can be selected to constrain.
Step 2.3.3, power-balance constraint
The heating power balance constraint and the electrical power of electrochemical energy storage that power-balance constraint includes heat storage electric boiler balance
Constraint, is respectively：
Step 2.3.4, thermal storage and energy accumulation energy constraint
Within the scope of the quantity of heat storage of heat-accumulator tank each period should be at reasonably, i.e.,
In formula：QmaxFor heat-accumulator tank maximum quantity of heat storage；QminFor heat-accumulator tank minimum quantity of heat storage；
Similarly, the reserve of electricity of energy-storage battery should within the scope of suitable state-of-charge (stateofcharge, SOC),
I.e.
In formula：For t period energy-storage battery reserve of electricitys；WSOCmax、WSOCminRespectively represent state-of-charge maximum with most
Small value, generally takes " 0.2 ", " 0.8 ".
Step 2.3.5, electric boiler power constraint
In formula：General power is run for t periods electric boiler, should be less than the maximum power P of electric boilerhmax。
Step 2.3.6, heat-accumulator tank accumulation of heat power constraint
Limited by electric boiler power constraint, heat-accumulator tank is in the increased amount of stored heat of t moment
Step 3, establish on-line planning scheduling model, on-line planning scheduler program according to ultra-short term prediction data to amendment after
Operation plan adjusted in real time, so as to make the operation plan higher with load matching degree.On-line planning is in terms of rolling
Divide basic scheduling scheme into, updated 1 time every 15 min, be responsible for arranging upcoming subsequent period Real-Time Scheduling plan,
Line plan is with the minimum object function of energy storage power storage system adjustment cost, it is contemplated that the factor of wind-powered electricity generation online is encouraged, in target letter
Added in number and abandon wind penalty term, shown in the object function such as formula (27) of integration：
In formula：For i-th n-th, heat accumulation power station heat storage can adjustment cost,Adjusted for jth platform energy-storage battery
Cost, γ are to abandon wind penalty coefficient, t/MWh；PWAAlways to abandon air quantity, MWh.
Wherein, the adjustment cost of the adjustment cost of heat storage can and heat storage can be represented by formula (28) and formula (29) respectively：
In formula：CHSTFor heat storage can adjustment cost,For on-line planning heat storage can cost of electricity-generating,For rolling planning
Heat storage can cost of electricity-generating.
In formula：CBESSFor energy-storage battery adjustment cost,For the hot cost of electricity-generating of on-line planning energy-storage battery,For
Rolling planning energy-storage battery heat supply cost of electricity-generating.
The electric equilibrium that step 3.1, the constraints of on-line planning are included in the works a few days ago constrains, thermal balance constrains, unit
Units limits, unit ramp loss, the constraint of heat accumulation electric boiler, the constraint of chemical energy storage battery, wind power plant constraint.Due to on-line planning
It is the static optimization of single period, therefore the Climing constant in on-line planning need to only consider mutually to hold in the mouth with the actual output of upper period unit
Connect.On this basis, on-line planning should also have energy storage power storage system output on the basic operating point that rolling planning is formulated
Deviation constraint, as shown in formula (30):
In formula：For each energy storage storing up electricity electrical power of t moment on-line planning, MW；β is constraint multiplier.
Step 4, introducing particle swarm optimization algorithm, which are improved artificial bee colony algorithm, solves Multiple Time Scales rolling scheduling
Model, optimizing of the field as particle swarm optimization algorithm is widened to the individual for being absorbed in local extremum on its existing position
Scope re-starts search, accelerates algorithm and jumps out local restriction so as to search optimal solution.
Step 4.1, the position for setting i-th particle and speed are respectively Xi=(xi1,xi2,...,xiD) and Vi=(vi1,
vi2,...,viD), its fitness is determined by an optimised functional value, the history that particle is lived through according to itself
Desired positions Pbest=(pi1,pi2,...,piD) and the desired positions G that is lived through of whole populationbest=(gi1,gi2,...,giD)
The speed of itself and position at present are updated；
For particle after kth time iteration, the more new formula of speed and position is as follows：
Vi,d(k+1)=wvI, d(k)+c1·r1(PBest, d-xI, d(k))
+c2·r2(GBest, d-xi,d(k)) (23)
xi,d(k+1)=xi,d(k)+vi,d(k+1) (24)
In formula, j ∈ (1,2 ..., N), N are population scale, and d ∈ (1,2 ... D), D are search space, xi,d(k) it is grain
The d dimension components of sub- i positions, vi,d(k) component, P are tieed up for the d of particle i speedbest,dFor the d dimensions point of particle i desired positions
Amount, Gbest,dComponent, r are tieed up for the d of desired positions in particle colony1And r2For the random number between [0,1], c1And c2For part
Accelerated factor and global accelerated factor, w is inertia weight coefficient.
Step 4.2, solve flow
By combining PSO algorithms, current optimal situation had not only been considered, but also has had the exploration of the overall situation so that new search bee
More detailed optimizing has been done within the specific limits so that search bee excellent performance, and then ensure that the rapidity of global optimization.
Step 4.3, the Optimized Operation physical planning step of plan, rolling planning and on-line planning is as follows a few days ago：
Step 4.3.1, primary data is read in：Including Load flow calculation data, control variable description and various equatioies and
Inequality constraints condition；Input the dimension and upper limit value and lower limit value and day part thermoelectricity load of each unit allocation variable；Set bee colony and
Particle swarm optimization algorithm parameter；
Step 4.3.2, initialize：The iterations of artificial bee colony algorithm and PSO are set to 0.In the value of control variable
In the range of, population x is randomly generated, the position for employing bee is initialized, and employs the quantity of bee to be equal to the number for following bee
Amount；
Step 4.3.3, employ food source corresponding to bee to carry out income degree evaluation to every, and to the position of food source into
Row renewal.Bee is followed to scan for producing new food source in the neighborhood of selected food source, and according to the selecting party of roulette
Renewal of the formula to food source into row position.
Step 4.3.4, judge that some food source after upper limit limit is reached, employs whether bee is updated, if do not had still
Have, then this employs bee to switch to search bee, utilizes particle cluster algorithm more new position；
Step 4.3.5, income degree evaluation is carried out to the food source after renewal.Judge whether to meet end condition, if discontented
Sufficient end condition, then turn to step 2；Otherwise, circulation, output optimal scheduling instruction are jumped out.
Step 5, on the basis of plan a few days ago, increase rolling planning and on-line planning, rollably repaiied by rolling planning
Just in a few days remaining generation schedule, then constantly adjusted by on-line planning, formulates the basic operating point of unit, final online plan with
The minor swing actually planned is undertaken by automatic-generation-control unit.
Beneficial effect：
This patent proposes a kind of Novel electric-heat integration system coordination dispatching method, jumps out conventional electric power system category, utilizes
Electric power and therrmodynamic system complementary relationship, improve most optimum distribution of resources ability, meanwhile, solve its coupled thermomechanics relation and new energy simultaneously
Contradiction between net.It is specific consider wind power prediction on the basis of, on the basis of plan a few days ago, increase rolling planning and
Line plan, in a few days remaining generation schedule, then constantly adjusted by on-line planning is rollably corrected by rolling planning, formulates unit
Basic operating point, final online plan undertakes with the minor swing actually planned by automatic-generation-control unit.On the one hand, reduce
Conventional thermoelectric unit thermic load peak value, " electricity determining by heat " must generated output, utilize heat accumulation and storing up electricity during night dip electricity price
Increase network load valley, so as to reserve greater room for wind-powered electricity generation online, lifting wind-powered electricity generation receives ability.
Brief description of the drawings：
Fig. 1 is multi-source heat and power supply structure chart provided by the invention；
Fig. 2 is Multiple Time Scales operation plan schematic diagram provided by the invention；
Fig. 3 dispatches systematic schematic diagram for multi-source Multiple Time Scales provided by the invention；
Fig. 4 is the optimization algorithm flow provided by the invention that ABC is improved based on population；
Specific implementation method：
The embodiment of the present invention is described below in conjunction with the accompanying drawings, so that those skilled in the art is more preferable
Understand the present invention.
Fig. 1 is multi-source heat and power supply structure chart.
At present, most of heat storage can is by wind power plant investment construction, because hot-zone is being supplied away from wind power plant, due to wind power plant
Distant with thermal storage and energy accumulation device, new route is larger to boiler progress direct power supply investment by wind field, therefore adopts mostly at present
With non-straight powering mode, i.e. power grid is all sent into wind power plant power generation, and heat storage can from power grid power purchase heat supply, abandons wind power generation and grill pan again
The electricity price operating mode of stove power purchase is consulted to determine by wind power plant and grid company.Fired power generating unit, wind power plant, cogeneration units, chemistry
The powering mode of energy storage and heat storage can is as shown in Figure 1.
Fig. 2 is Multiple Time Scales operation plan schematic diagram.
Electric power, heating power production link are unified to be optimized, and realizes that electric system is conducive to consumption with heating system coordinated operation and abandons
Wind.But the prediction of wind power output, electric load, thermic load has error, and error is proportionate with predicted time, causes single
Operation plan and actual load deviation are larger a few days ago, and execution degree is not high, can not adapt to the joint of the electric heating after wind-powered electricity generation large-scale grid connection
Scheduling.Therefore, this patent is proposed on the basis of plan a few days ago, is increased rolling planning and on-line planning, is rolled by rolling planning
In a few days remaining generation schedule, then constantly adjusted by on-line planning is corrected dynamicly, formulates the basic operating point of unit, final online
Plan is undertaken with the minor swing actually planned by automatic-generation-control unit.
Planned dispatching program formulates basic plan a few days ago according to short term predicted data a few days ago a few days ago, by basic scheduling scheme
It is sent in rolling planning scheduler program, rolling planning scheduler program is according to Extended short-term prediction data and unit real time execution number
Plan a few days ago according to rollably correcting, and revised basic scheduling scheme is sent in on-line planning scheduler program, online meter
Draw scheduler program to adjust revised operation plan in real time according to ultra-short term prediction data, so as to make and load
With the higher operation plan of degree.
As shown in the figure, the dispatching cycle planned is 24h a few days ago, 15min is 1 scheduling slot, is updated 1 time every 24h；
Plan a few days ago on the basis of, rolling planning updates 1 time every 4h, is responsible for rolling the operation plan of remaining period in renewal 1d；And
On-line planning updates 1 time using rolling planning as basic scheduling scheme every 15min, is responsible for arranging upcoming subsequent period
Real-Time Scheduling plan, belongs to static optimization.
Fig. 3 dispatches systematic schematic diagram for multi-source Multiple Time Scales
Particle cluster algorithm is improved by being self-regulated, writes the Optimized Operation journey of plan, rolling planning and on-line planning a few days ago
Sequence, each Optimized Operation program perform Multiple Time Scales rolling scheduling by following flow to electric heating association system：
1) short term predicted data is inputted, planning optimization program a few days ago is run, is planned the basic operating point of unit a few days ago, deposited
Unit output data are planned in storage a few days ago.
2) input expanding short term predicted data, operation rolling planning optimization program, obtains through the revised machine of rolling planning
The basic operating point of group, stores revised rolling planning unit output data.
3) ultra-short term prediction data is inputted, constantly runs online planning optimization program successively to single period machine in following 4h
Group output optimizes, until all formulation finishes on-line planning in 4h.
4) perform repeatedly 2) with 3), until in a few days, all on-line plannings formulations finish.
By this scheme, the operation plan of each time scale can be finally obtained.
Fig. 4 is the optimization algorithm flow that ABC is improved based on population.
Multiple Time Scales rolling scheduling model is multidimensional, a nonlinear optimal problem, and basic artificial bee colony algorithm is being located
Convergence rate is slower when managing such problem, and is easily trapped into locally optimal solution.This patent on the basis of basic particle group algorithm,
Add particle cluster algorithm and improve ability of searching optimum and quick convergence rate.
Artificial bee colony algorithm is a kind of Stochastic Optimization Algorithms, by simulating the local optimal searching behavior of each honeybee individual, finally
Global optimum is burst in colony and obtain optimal solution, it is not necessary to grasp any apriority information, there is good robustness
And wide applicability.
Leading bee and follow the food source location update formula of cutting edge of a knife or a sword to be in ant colony algorithm：
Vij=Sij+rij(Sij+Skj) (21)
In formula, k ∈ (1,2 ... L), L are the quantity for employing bee, j ∈ (1,2 ..., N), k ≠ j, rijFor section [- 1,1]
Between random number, and i ≠ j, it controls the size in neighborhood search space, with progressively close, the search of Optimum Solution
Neighborhood space it is also less and less.SijFor the current position of food source, SkjFor the neighborhood individual food source position selected at random.
Bee is observed according to the information for employing bee to share, food source selection is selected in the way of roulette, its probability PiFor：
In formula, f (δi) for the income angle value of i-th food source.
Based on particle group optimizing ABC improved methods
Traditional ABC algorithms in an iterative process, if some nectar source be searched renewal number reached advance setting value,
In order to avoid algorithm is absorbed in local extremum, ABC algorithms must reinitialize population and re-search for, but it is to local extremum
Using the information for ignoring individual extreme value, the fine or not degree in new nectar source, therefore algorithm can not be met by the way of generating at random
Meaningless iterative calculation can be brought, reduces convergence speed of the algorithm, and then have impact on the ability of the global optimizing of algorithm.For
This shortcoming this patent introduces particle swarm optimization algorithm and makes improvements.Particle swarm optimization algorithm has very strong global search
Ability and quick convergence rate, a field is widened as particle to the individual for being absorbed in local extremum on its existing position
The Search Range of colony optimization algorithm re-starts search, can accelerate algorithm and jump out local restriction so as to search optimal solution.
If the position of i-th particle and speed are respectively Xi=(xi1,xi2,...,xiD) and Vi=(vi1,vi2,...,
viD), its fitness is determined by an optimised functional value, the history desired positions that particle is lived through according to itself
Pbest=(pi1,pi2,...,piD) and the desired positions G that is lived through of whole populationbest=(gi1,gi2,...,giD) at present from
The speed of body and position are updated.
For particle after kth time iteration, the more new formula of speed and position is as follows：
Vi,d(k+1)=wvI, d(k)+c1·r1(PBest, d-xI, d(k))
+c2·r2(GBest, d-xi,d(k)) (23)
xi,d(k+1)=xi,d(k)+vi,d(k+1) (24)
In formula, j ∈ (1,2 ..., N), N are population scale, and d ∈ (1,2 ... D), D are search space, xi,d(k) it is grain
The d dimension components of sub- i positions, vi,d(k) component, P are tieed up for the d of particle i speedbest,dFor the d dimensions point of particle i desired positions
Amount, Gbest,dComponent, r are tieed up for the d of desired positions in particle colony1And r2For the random number between [0,1], c1And c2For part
Accelerated factor and global accelerated factor, w is inertia weight coefficient.
Solve flow
By combining PSO algorithms, current optimal situation had not only been considered, but also has had the exploration of the overall situation so that new search bee
More detailed optimizing has been done within the specific limits so that search bee excellent performance, and then ensure that the rapidity of global optimization.
The Optimized Operation physical planning step of plan, rolling planning and on-line planning is as follows a few days ago：
1：Read in primary data：Including Load flow calculation data, the description of control variable and various equatioies and inequality about
Beam condition；Input the dimension and upper limit value and lower limit value and day part thermoelectricity load of each unit allocation variable；Set bee colony and population excellent
Change algorithm parameter；
2：Initialization：The iterations of ABC and PSO is set to 0.In the value range of control variable, kind is randomly generated
Group x, initializes the position for employing bee, and employs the quantity of bee to be equal to the quantity for following bee；
3：Employ the food source corresponding to bee to carry out income degree evaluation to every, and the position of food source is updated.
Bee is followed according to scanning for producing new food source in the neighborhood of selected food source, and according to the selection mode pair of roulette
Renewal of the food source into row position.
4：Judge that some food source after upper limit limit is reached, employs whether bee is updated, if still without this
Employ bee to switch to search bee, utilize particle cluster algorithm more new position；
5：Income degree evaluation is carried out to the food source after renewal.Judge whether to meet end condition, if being unsatisfactory for terminating bar
Part, then turn to step 2；Otherwise, circulation, output optimal scheduling instruction are jumped out.
Claims (10)
1. a kind of large capacity heat accumulation storing up electricity coordinated scheduling method for improving wind-powered electricity generation and receiving ability, it is characterised in that the present invention includes
Following steps：Step 1, establish planned dispatching model a few days ago, and basic scheduling scheme is sent in rolling planning scheduler program；Step
Rapid 2, rolling planning scheduling model is established, revised basic scheduling scheme is sent in on-line planning scheduler program；Step
3rd, on-line planning scheduling model is established, makes the operation plan higher with load matching degree；Step 4, introduce particle group optimizing
Algorithm is improved artificial bee colony algorithm and solves Multiple Time Scales rolling scheduling model；Step 5, on the basis planned a few days ago
On, increase rolling planning and on-line planning, in a few days remaining generation schedule, then by on-line planning is rollably corrected by rolling planning
Constantly adjust, formulate the basic operating point of unit, final online plan and the minor swing actually planned are by Automatic Generation Control
Unit undertakes.
2. according to claim 1, a kind of large capacity heat accumulation storing up electricity coordinated scheduling method for improving wind-powered electricity generation and receiving ability, its
It is characterized in that, the scheduling model described in step 1 is：The dispatching cycle planned a few days ago is 24h, and 15min is 1 scheduling slot,
Updated 1 time every 24h, object function is planned a few days ago should be using economy as target, and safety is constraint；To encourage wind-powered electricity generation online, at this
Cost of wind power generation is disregarded in scheduling model, with the minimum object function of system total consumption of coal amount：
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In formula：F is system total consumption of coal amount, t；For n-th, the steam power plant thermoelectricity unit coal consumption amount of t periods i-th, t/h；
For t period jth platform fired power generating unit coal consumption amounts, t/h；T be 1 dispatching cycle it is total when hop count；Δ t be scheduling slot when
Between be spaced, h；R is steam power plant's sum；NiFor i-th steam power plant's thermoelectricity unit quantity；S is fired power generating unit sum；
Fired power generating unit consumption characteristic equation：
FCON=a0+a1P+a2P2 (2)
In formula：P is generated output, MW；a0a1a2For fitting coefficient；
Thermoelectricity unit consumption characteristic equation：
FCHP=e0+e1P+e2D+e3P2+e4PD+e5D2 (3)
In formula：D is heat supply steam extraction amount, t/h；e0~e5It is for fitting.
3. according to claim 1, a kind of large capacity heat accumulation storing up electricity coordinated scheduling method for improving wind-powered electricity generation and receiving ability, its
It is characterized in that, the scheduling model described in step 1 is included for electric equilibrium, for thermal balance, unit output constraint, unit climbing about
5 beam, heat accumulation electric boiler units limits constraintss, wherein：
Step 1.1.1, for electric equilibrium
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In formula：For the electrical power of i-th steam power plant of t periods, n-th thermoelectricity unit, MW；For t period jth platforms thermoelectricity electricity
Power, MW；Always surf the Internet power for t period wind power plants, MW；For i-th institute of steam power plant l-th of heat exchange station tune of band of t periods
The electrical power of peak heat accumulation electric boiler consumption, MW；LiBy i-th steam power plant band heat exchange station sum；
Step 1.1.2 supplies thermal balance
If disregarding the heat exchange loss between heating system level-one net and two level net, heating system balances respectively by for thermal region：
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In formula：Qt,i,jFor i-th institute of steam power plant l-th of heat exchange station of band (secondary heat networks) thermic load of t periods, GJ/h；For t when
I-th institute of steam power plant l-th of heat exchange station of band (secondary heat networks) peak regulation heat accumulation electric boiler thermal power of section, GJ/h；For the t periods
N-th thermoelectricity unit heating power of i steam power plants, GJ/h, its expression formula are
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In formula：Dt,j,nFor the steam extraction amount of n-th, the steam power plant thermal power plant unit of t periods i-th, t/h；Δ H is steam enthalpy drop, kJ/kg；
Step 1.1.3, unit output constrains
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Dmin≤D≤Dmax (8)
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0≤PCW≤PWF (10)
In formula：Respectively fired power generating unit output bound, MW；Dmin、DmaxRespectively thermoelectricity unit heat supply steam extraction speed
Rate bound, t/h；Its electric output bound when respectively thermoelectricity unit heat supply steam extraction speed is D,
MW；PWFFor wind-powered electricity generation field prediction power, MW；
Step 1.1.4, unit ramp loss
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In formula：The respectively climbing of fired power generating unit, landslide speed, MW/h； Respectively thermoelectricity unit
Climbing, landslide speed, MW/h.
Step 1.1.5, heat accumulation electric boiler units limits
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4. according to claim 1, a kind of large capacity heat accumulation storing up electricity coordinated scheduling method for improving wind-powered electricity generation and receiving ability, its
It is characterized in that, the scheduling model described in step 2 is on the basis of plan a few days ago, and rolling planning updates 1 time every 4h, is responsible for
Roll the operation plan of remaining period in renewal 1d；This patent runs income with the association system of heat storage electric boiler joint energy storage
It is up to object function, the Optimized Operation operation problem of research wind-powered electricity generation heat storage electric boiler-electrochemical energy storage system, non-straight
For under pattern, the object function using Income Maximum as target is
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In formula：For t periods wind power plant wind-powered electricity generation amount is abandoned using what heat storage electric boiler and electrochemical energy storage dissolved；For the t periods
The heat provided to heat supply company；Purchase of electricity for from the t periods to grid company；c1For wind-powered electricity generation rate for incorporation into the power network, member/(kwh)；
c2For heat price, member/kJ；c3For preferential power purchase price, member/(kwh), from formula (14) as can be seen that total revenue function by
3 parts are formed, and are respectively that using operating mode increase consumption to abandon the sale of electricity income of wind power generation, heat storage electric boiler public to heat supply for wind power plant
Department sells the cost of hot income and grill pan furnace system to grid company power purchase.
5. according to claim 4, a kind of large capacity heat accumulation storing up electricity coordinated scheduling method for improving wind-powered electricity generation and receiving ability, its
It is characterized in that, the scheduling model described in step 2 is further expressed as：
The heat that step 2.1, t periods provide to heat supply companyIt can be further represented as
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In formula：α turns hot coefficient GJ/ (MWh) for electricity；To be used for heating electric boiler directly to pipe network in t period power purchase electricity
The part of heat supply；Heat for from t periods heat-accumulator tank to pipe network heat supply；The electricity to discharge for t periods electrochemical energy storage, from
Formula (15) is as can be seen that the heat provided to heat supply company is made of 3 parts, including electric boiler directly feeds the heat of heat supply company
Amount, electric boiler supplies the heat of heat supply company after heat-accumulator tank accumulation of heat and electrochemical energy storage supplies supply confession after electric boiler conversion
The heat of hot company；
Step 2.2, t periods system can be further represented as to the electricity of power grid power purchase
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<mi>g</mi>
<mi>t</mi>
</msubsup>
<mo>+</mo>
<msubsup>
<mi>W</mi>
<mrow>
<mi>q</mi>
<mi>i</mi>
</mrow>
<mi>t</mi>
</msubsup>
<mo>+</mo>
<msubsup>
<mi>W</mi>
<mrow>
<mi>c</mi>
<mi>i</mi>
</mrow>
<mi>t</mi>
</msubsup>
<mo>-</mo>
<mo>-</mo>
<mo>-</mo>
<mrow>
<mo>(</mo>
<mn>16</mn>
<mo>)</mo>
</mrow>
</mrow>
In formula：To be used for heating the part that electric boiler is heat-accumulator tank heat accumulation heat supply in t period power purchase electricity；For t periods electricity
The electricity of chemical energy storage storage charging, from formula (16) as can be seen that 3 parts can also be divided into from grid company power purchase electricity, point
Not Wei electrochemical energy storage storing up electricity electricity, directly feed heat supply company electric boiler power consumption and for heat-accumulator tank heating grill pan
Stove uses power consumption.
6. according to claim 1, a kind of large capacity heat accumulation storing up electricity coordinated scheduling method for improving wind-powered electricity generation and receiving ability, its
It is characterized in that, the scheduling model described in step 2 abandons wind constraint, operating mode constraint, energy storage heat-storing device energy constraint, electricity including consumption
5 boiler power constraint, heat-accumulator tank accumulation of heat power constraint constraintss, wherein：
Step 2.3.1, wind constraint is abandoned
The optimal control method of heat storage electric boiler that this patent is studied fusion energy storage be premised on dissolving and abandon wind, so
T moment wind power plant to grid company sell abandon wind generated energy should be not more than wind power plant it is total abandon wind-powered electricity generation amountI.e.
<mrow>
<msubsup>
<mi>W</mi>
<mi>s</mi>
<mi>t</mi>
</msubsup>
<mo>&le;</mo>
<msubsup>
<mi>W</mi>
<mrow>
<mi>q</mi>
<mi>f</mi>
</mrow>
<mi>t</mi>
</msubsup>
<mo>-</mo>
<mo>-</mo>
<mo>-</mo>
<mrow>
<mo>(</mo>
<mn>17</mn>
<mo>)</mo>
</mrow>
</mrow>
Step 2.3.2, operating mode constrains
Under non-straight powering mode, wind power plant has different operating conditions with grid company and heat supply company respectively.Different works
Condition shows as different constraints to the coordination optimization control problem studied；Purchase sale of electricity between wind power plant and grid company
Consider 2 kinds of situations, the first situation is that wind power plant allows abandoning the fixed electricity of wind period additional issue daily, this electricity is also every
As defined in operating mode, i.e., the electricity that its heat storage electric boiler is dissolved in the load valley period, is
<mrow>
<msubsup>
<mi>&Sigma;W</mi>
<mi>s</mi>
<mi>t</mi>
</msubsup>
<mo>&le;</mo>
<msubsup>
<mi>&Sigma;W</mi>
<mi>b</mi>
<mi>t</mi>
</msubsup>
<mo>-</mo>
<mo>-</mo>
<mo>-</mo>
<mrow>
<mo>(</mo>
<mn>18</mn>
<mo>)</mo>
</mrow>
</mrow>
Also a kind of operating mode situation, only requires electricity of the heat storage electric boiler in load valley period power purchase not less than wind power plant profit
The electricity issued additional with wind is abandoned, can be expressed as
<mrow>
<msubsup>
<mi>W</mi>
<mi>s</mi>
<mi>t</mi>
</msubsup>
<mo>&le;</mo>
<msubsup>
<mi>W</mi>
<mi>b</mi>
<mi>t</mi>
</msubsup>
<mo>-</mo>
<mo>-</mo>
<mo>-</mo>
<mrow>
<mo>(</mo>
<mn>19</mn>
<mo>)</mo>
</mrow>
</mrow>
The operating condition of heat storage electric boiler and heat supply company defines each moment to the lower limit of heat supply company heat supply, i.e.,
<mrow>
<msubsup>
<mi>Q</mi>
<mi>x</mi>
<mi>t</mi>
</msubsup>
<mo>&GreaterEqual;</mo>
<msub>
<mi>Q</mi>
<mrow>
<mi>x</mi>
<mo>.</mo>
<mi>m</mi>
<mi>i</mi>
<mi>n</mi>
</mrow>
</msub>
<mo>-</mo>
<mo>-</mo>
<mo>-</mo>
<mrow>
<mo>(</mo>
<mn>20</mn>
<mo>)</mo>
</mrow>
</mrow>
When optimizing, according to different operating mode situations different operating modes can be selected to constrain；
Step 2.3.3, power-balance constraint
Power-balance constraint includes heating power balance constraint and the electrical power Constraints of Equilibrium of electrochemical energy storage of heat storage electric boiler,
Respectively：
<mrow>
<msubsup>
<mi>Q</mi>
<mi>c</mi>
<mi>t</mi>
</msubsup>
<mo>=</mo>
<msubsup>
<mi>Q</mi>
<mi>c</mi>
<mrow>
<mi>t</mi>
<mo>-</mo>
<mn>1</mn>
</mrow>
</msubsup>
<mo>+</mo>
<msubsup>
<mi>Q</mi>
<mrow>
<mi>q</mi>
<mi>i</mi>
</mrow>
<mi>t</mi>
</msubsup>
<mo>-</mo>
<msubsup>
<mi>Q</mi>
<mrow>
<mi>q</mi>
<mi>o</mi>
</mrow>
<mi>t</mi>
</msubsup>
<mo>-</mo>
<mo>-</mo>
<mo>-</mo>
<mrow>
<mo>(</mo>
<mn>21</mn>
<mo>)</mo>
</mrow>
</mrow>
<mrow>
<msubsup>
<mi>W</mi>
<mi>c</mi>
<mi>t</mi>
</msubsup>
<mo>=</mo>
<msubsup>
<mi>W</mi>
<mi>c</mi>
<mrow>
<mi>t</mi>
<mo>-</mo>
<mn>1</mn>
</mrow>
</msubsup>
<mo>+</mo>
<msubsup>
<mi>W</mi>
<mrow>
<mi>c</mi>
<mi>i</mi>
</mrow>
<mi>t</mi>
</msubsup>
<mo>-</mo>
<msubsup>
<mi>W</mi>
<mrow>
<mi>c</mi>
<mi>o</mi>
</mrow>
<mi>t</mi>
</msubsup>
<mo>-</mo>
<mo>-</mo>
<mo>-</mo>
<mrow>
<mo>(</mo>
<mn>22</mn>
<mo>)</mo>
</mrow>
</mrow>
Step 2.3.4, thermal storage and energy accumulation energy constraint
Within the scope of the quantity of heat storage of heat-accumulator tank each period should be at reasonably, i.e.,
<mrow>
<msub>
<mi>Q</mi>
<mrow>
<mi>m</mi>
<mi>i</mi>
<mi>n</mi>
</mrow>
</msub>
<mo>&le;</mo>
<msubsup>
<mi>Q</mi>
<mi>c</mi>
<mi>t</mi>
</msubsup>
<mo>&le;</mo>
<msub>
<mi>Q</mi>
<mrow>
<mi>m</mi>
<mi>a</mi>
<mi>x</mi>
</mrow>
</msub>
<mo>-</mo>
<mo>-</mo>
<mo>-</mo>
<mrow>
<mo>(</mo>
<mn>23</mn>
<mo>)</mo>
</mrow>
</mrow>
In formula：QmaxFor heat-accumulator tank maximum quantity of heat storage；QminFor heat-accumulator tank minimum quantity of heat storage,
Similarly, the reserve of electricity of energy-storage battery should be within the scope of suitable state-of-charge (state of charge, SOC), i.e.,
<mrow>
<msub>
<mi>W</mi>
<mrow>
<mi>S</mi>
<mi>O</mi>
<mi>C</mi>
<mi>m</mi>
<mi>i</mi>
<mi>n</mi>
</mrow>
</msub>
<mo>&le;</mo>
<msubsup>
<mi>W</mi>
<mi>c</mi>
<mi>t</mi>
</msubsup>
<mo>&le;</mo>
<msub>
<mi>W</mi>
<mrow>
<mi>S</mi>
<mi>O</mi>
<mi>C</mi>
<mi>m</mi>
<mi>a</mi>
<mi>x</mi>
</mrow>
</msub>
<mo>-</mo>
<mo>-</mo>
<mo>-</mo>
<mrow>
<mo>(</mo>
<mn>24</mn>
<mo>)</mo>
</mrow>
</mrow>
In formula：For t period energy-storage battery reserve of electricitys；WSOCmax、WSOCminThe maxima and minima of state-of-charge is represented respectively,
" 0.2 " is generally taken, " 0.8 "；
Step 2.3.5, electric boiler power constraint
<mrow>
<mn>0</mn>
<mo>&le;</mo>
<msubsup>
<mi>P</mi>
<mi>h</mi>
<mi>t</mi>
</msubsup>
<mo>&le;</mo>
<msub>
<mi>P</mi>
<mrow>
<mi>h</mi>
<mi>max</mi>
</mrow>
</msub>
<mo>-</mo>
<mo>-</mo>
<mo>-</mo>
<mrow>
<mo>(</mo>
<mn>25</mn>
<mo>)</mo>
</mrow>
</mrow>
In formula：General power is run for t periods electric boiler, should be less than the maximum power P of electric boilerhmax；
Step 2.3.6, heat-accumulator tank accumulation of heat power constraint
Limited by electric boiler power constraint, heat-accumulator tank is in the increased amount of stored heat of t moment
<mrow>
<msubsup>
<mi>Q</mi>
<mrow>
<mi>q</mi>
<mi>i</mi>
</mrow>
<mi>t</mi>
</msubsup>
<mo>=</mo>
<msubsup>
<mi>&alpha;W</mi>
<mrow>
<mi>q</mi>
<mi>i</mi>
</mrow>
<mi>t</mi>
</msubsup>
<mo>-</mo>
<mo>-</mo>
<mo>-</mo>
<mrow>
<mo>(</mo>
<mn>26</mn>
<mo>)</mo>
</mrow>
<mo>.</mo>
</mrow>
7. according to claim 1, a kind of large capacity heat accumulation storing up electricity coordinated scheduling method for improving wind-powered electricity generation and receiving ability, its
It is characterized in that, the scheduling model described in step 3 is：On-line planning is using rolling planning as basic scheduling scheme, every 15min more
New 1 time, be responsible for arranging upcoming subsequent period Real-Time Scheduling plan, on-line planning with energy storage power storage system adjustment cost most
Low is object function, it is contemplated that encourages the factor of wind-powered electricity generation online, is added in object function and abandon wind penalty term, the target letter of integration
Number is as shown in formula (27)：
<mrow>
<mi>min</mi>
<mi> </mi>
<mi>F</mi>
<mo>=</mo>
<munderover>
<mo>&Sigma;</mo>
<mrow>
<mi>i</mi>
<mo>=</mo>
<mn>1</mn>
</mrow>
<mi>R</mi>
</munderover>
<munderover>
<mo>&Sigma;</mo>
<mrow>
<mi>n</mi>
<mo>=</mo>
<mn>1</mn>
</mrow>
<msub>
<mi>N</mi>
<mi>i</mi>
</msub>
</munderover>
<msubsup>
<mi>C</mi>
<mrow>
<mi>H</mi>
<mi>S</mi>
<mi>T</mi>
</mrow>
<mrow>
<mi>i</mi>
<mo>,</mo>
<mi>n</mi>
</mrow>
</msubsup>
<mo>+</mo>
<munderover>
<mo>&Sigma;</mo>
<mrow>
<mi>j</mi>
<mo>=</mo>
<mn>1</mn>
</mrow>
<mi>S</mi>
</munderover>
<msubsup>
<mi>C</mi>
<mrow>
<mi>B</mi>
<mi>E</mi>
<mi>S</mi>
<mi>S</mi>
</mrow>
<mi>j</mi>
</msubsup>
<mo>+</mo>
<msub>
<mi>&gamma;P</mi>
<mrow>
<mi>W</mi>
<mi>A</mi>
</mrow>
</msub>
<mo>-</mo>
<mo>-</mo>
<mo>-</mo>
<mrow>
<mo>(</mo>
<mn>27</mn>
<mo>)</mo>
</mrow>
</mrow>
In formula：For i-th n-th, heat accumulation power station heat storage can adjustment cost,For jth platform energy-storage battery adjustment cost,
γ is to abandon wind penalty coefficient, t/MWh；PWAAlways to abandon air quantity, MWh；
Wherein, the adjustment cost of the adjustment cost of heat storage can and heat storage can be represented by formula (28) and formula (29) respectively：
<mrow>
<msub>
<mi>C</mi>
<mrow>
<mi>H</mi>
<mi>S</mi>
<mi>T</mi>
</mrow>
</msub>
<mo>=</mo>
<mo>|</mo>
<msubsup>
<mi>F</mi>
<mrow>
<mi>H</mi>
<mi>S</mi>
<mi>T</mi>
</mrow>
<mrow>
<mi>r</mi>
<mi>e</mi>
<mi>a</mi>
<mi>l</mi>
</mrow>
</msubsup>
<mo>-</mo>
<msubsup>
<mi>F</mi>
<mrow>
<mi>H</mi>
<mi>S</mi>
<mi>T</mi>
</mrow>
<mrow>
<mi>r</mi>
<mi>o</mi>
<mi>l</mi>
<mi>l</mi>
<mi>i</mi>
<mi>n</mi>
<mi>g</mi>
</mrow>
</msubsup>
<mo>|</mo>
<mo>-</mo>
<mo>-</mo>
<mo>-</mo>
<mrow>
<mo>(</mo>
<mn>28</mn>
<mo>)</mo>
</mrow>
</mrow>
In formula：CHSTFor heat storage can adjustment cost,For on-line planning heat storage can cost of electricity-generating,For rolling planning heat accumulation
Tank cost of electricity-generating；
<mrow>
<msub>
<mi>C</mi>
<mrow>
<mi>B</mi>
<mi>E</mi>
<mi>S</mi>
<mi>S</mi>
</mrow>
</msub>
<mo>=</mo>
<mo>|</mo>
<msubsup>
<mi>F</mi>
<mrow>
<mi>B</mi>
<mi>E</mi>
<mi>S</mi>
<mi>S</mi>
</mrow>
<mrow>
<mi>r</mi>
<mi>e</mi>
<mi>a</mi>
<mi>l</mi>
</mrow>
</msubsup>
<mo>-</mo>
<msubsup>
<mi>F</mi>
<mrow>
<mi>B</mi>
<mi>E</mi>
<mi>S</mi>
<mi>S</mi>
</mrow>
<mrow>
<mi>r</mi>
<mi>o</mi>
<mi>l</mi>
<mi>l</mi>
<mi>i</mi>
<mi>n</mi>
<mi>g</mi>
</mrow>
</msubsup>
<mo>|</mo>
<mo>-</mo>
<mo>-</mo>
<mo>-</mo>
<mrow>
<mo>(</mo>
<mn>29</mn>
<mo>)</mo>
</mrow>
</mrow>
In formula：CBESSFor energy-storage battery adjustment cost,For the hot cost of electricity-generating of on-line planning energy-storage battery,Counted to roll
Draw energy-storage battery heat supply cost of electricity-generating.
8. according to claim 1, a kind of large capacity heat accumulation storing up electricity coordinated scheduling method for improving wind-powered electricity generation and receiving ability,
It is characterized in that, the specific method that step 4 solves is as follows：Step 4.1, the position for setting i-th particle and speed are respectively Xi=
(xi1,xi2,...,xiD) and Vi=(vi1,vi2,...,viD), its fitness is determined by an optimised functional value,
The history desired positions P that particle is lived through according to itselfbest=(pi1,pi2,...,piD) and whole population lived through most
Good position Gbest=(gi1,gi2,...,giD) speed of itself and position at present are updated；
For particle after kth time iteration, the more new formula of speed and position is as follows：
Vi,d(k+1)=wvi,d(k)+c1·r1(Pbest,d-xi,d(k))
+c2·r2(Gbest,d-xi,d(k)) (23)
xi,d(k+1)=xi,d(k)+vi,d(k+1) (24)
In formula, j ∈ (1,2 ..., N), N are population scale, and d ∈ (1,2 ... D), D are search space, xi,d(k) it is i, particle
The d dimension components put, vi,d(k) component, P are tieed up for the d of particle i speedbest,dComponent is tieed up for the d of particle i desired positions,
Gbest,dComponent, r are tieed up for the d of desired positions in particle colony1And r2For the random number between [0,1], c1And c2Add to be local
The fast factor and global accelerated factor, w is inertia weight coefficient；
Step 4.2, solve flow
By combining PSO algorithms, current optimal situation had not only been considered, but also has had the exploration of the overall situation so that new search bee is one
Determine to have done more detailed optimizing in scope so that search bee excellent performance, and then ensure that the rapidity of global optimization.
Step 4.3, to planning a few days ago, the Optimized Operation physical planning of rolling planning and on-line planning.
It is 9. as follows to physical planning step in step 4.3 according to claim 8：
Step 4.3.1, primary data is read in：Including Load flow calculation data, the description of control variable and various equatioies and differ
Formula constraints；Input the dimension and upper limit value and lower limit value and day part thermoelectricity load of each unit allocation variable；Bee colony and particle are set
Colony optimization algorithm parameter；
Step 4.3.2, initialize：The iterations of artificial bee colony algorithm and PSO are set to 0, in the value range of control variable
It is interior, population x is randomly generated, the position for employing bee is initialized, and employs the quantity of bee to be equal to the quantity for following bee；
Step 4.3.3, employ the food source corresponding to bee to carry out income degree evaluation to every, and the position of food source is carried out more
Newly.Bee is followed to scan for producing new food source in the neighborhood of selected food source, and according to the selection mode pair of roulette
Renewal of the food source into row position；
Step 4.3.4, judge that some food source after upper limit limit is reached, employs whether bee is updated, if still without,
Then this employs bee to switch to search bee, utilizes particle cluster algorithm more new position；
Step 4.3.5, income degree evaluation is carried out to the food source after renewal.Judge whether to meet end condition, if being unsatisfactory for end
Only condition, then turn to step 2；Otherwise, circulation, output optimal scheduling instruction are jumped out.
10. according to claim 1, a kind of large capacity heat accumulation storing up electricity coordinated scheduling method for improving wind-powered electricity generation and receiving ability,
It is characterized in that, the dispatching method described in step 5 is on the one hand, conventional thermoelectric unit thermic load peak value, electricity determining by heat are reduced
Must generated output, increase network load valley using heat accumulation during night dip electricity price and storing up electricity, so as to be reserved for wind-powered electricity generation online
Greater room, lifting wind-powered electricity generation receive ability.
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