CN108009743A - The system combined economic load dispatching method of electric-thermal based on heat supply network heat accumulation characteristic - Google Patents
The system combined economic load dispatching method of electric-thermal based on heat supply network heat accumulation characteristic Download PDFInfo
- Publication number
- CN108009743A CN108009743A CN201711348256.1A CN201711348256A CN108009743A CN 108009743 A CN108009743 A CN 108009743A CN 201711348256 A CN201711348256 A CN 201711348256A CN 108009743 A CN108009743 A CN 108009743A
- Authority
- CN
- China
- Prior art keywords
- mrow
- wind
- heat supply
- supply network
- heat
- 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
- 238000009825 accumulation Methods 0.000 title claims abstract description 24
- 238000000034 method Methods 0.000 title claims abstract description 17
- 230000005619 thermoelectricity Effects 0.000 claims abstract description 65
- 230000005611 electricity Effects 0.000 claims abstract description 51
- 230000010354 integration Effects 0.000 claims abstract description 29
- 230000033228 biological regulation Effects 0.000 claims abstract description 22
- 238000000605 extraction Methods 0.000 claims abstract description 19
- 230000001105 regulatory effect Effects 0.000 claims abstract description 15
- 238000010438 heat treatment Methods 0.000 claims abstract description 10
- 238000005338 heat storage Methods 0.000 claims description 6
- 238000009987 spinning Methods 0.000 claims description 5
- 238000004364 calculation method Methods 0.000 claims description 3
- 238000004146 energy storage Methods 0.000 claims description 3
- 230000000153 supplemental effect Effects 0.000 claims description 3
- 238000005485 electric heating Methods 0.000 abstract 2
- 230000008859 change Effects 0.000 description 6
- 230000009467 reduction Effects 0.000 description 3
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 239000002245 particle Substances 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000008901 benefit Effects 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 230000008878 coupling Effects 0.000 description 1
- 238000010168 coupling process Methods 0.000 description 1
- 238000005859 coupling reaction Methods 0.000 description 1
- 230000007812 deficiency Effects 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 230000029087 digestion Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000003912 environmental pollution Methods 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
- 230000008439 repair process Effects 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 239000004576 sand Substances 0.000 description 1
- 230000006641 stabilisation Effects 0.000 description 1
- 238000011105 stabilization Methods 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
- G06Q10/06315—Needs-based resource requirements planning or analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0635—Risk analysis of enterprise or organisation activities
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/06—Energy or water supply
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E40/00—Technologies for an efficient electrical power generation, transmission or distribution
- Y02E40/70—Smart grids as climate change mitigation technology in the energy generation sector
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
Landscapes
- Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- Engineering & Computer Science (AREA)
- Economics (AREA)
- Strategic Management (AREA)
- Entrepreneurship & Innovation (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- Marketing (AREA)
- General Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- Tourism & Hospitality (AREA)
- Game Theory and Decision Science (AREA)
- Development Economics (AREA)
- Educational Administration (AREA)
- Health & Medical Sciences (AREA)
- Operations Research (AREA)
- Quality & Reliability (AREA)
- Water Supply & Treatment (AREA)
- Primary Health Care (AREA)
- Public Health (AREA)
- General Health & Medical Sciences (AREA)
- Wind Motors (AREA)
Abstract
The invention discloses a kind of electric heating system Joint economics dispatching method based on heat supply network heat accumulation characteristic, the electric heating system Joint economics containing wind-powered electricity generation based on heat supply network heat accumulation characteristic are dispatched premised on meeting heat demand, it is main target that minimum, which abandons wind, wind power integration risk cost is taken into account at the same time, establishes regulation goal function；Determine system constraints, thermoelectricity unit constraints, pure condensate Unit commitment condition and the heat supply network state constraint of regulation goal function；Computing system current generation heating load and wind power output；Judge whether, due to the limited generation for causing to abandon wind of system wind power integration ability itself, if then carrying out deferring to the principle that wind-powered electricity generation is preferentially surfed the Internet, to take thermoelectricity unit to continuously adjust, the scheduling strategy for reducing unit heat supply steam extraction amount is regulated and controled；If not the scheduling strategy for then carrying out abandoning wind possibility according to previous period and the prediction calculating of present period wind power output is regulated and controled.
Description
Technical field
The present invention relates to a kind of system combined economic load dispatching method of the electric-thermal based on heat supply network heat accumulation characteristic.
Background technology
As a kind of clean reproducible energy, it is developed and utilized for reducing environmental pollution wind energy, alleviates energy shortage
Play important function.However, the self-characteristic such as being continuously increased with wind-powered electricity generation penetrance, its intermittent and anti-tune peak is contained
The electric power system dispatching of wind-powered electricity generation brings great challenge, and especially in the northern area of China, thermoelectricity unit proportion is big, heating period unit
Limited by " electricity determining by heat " rigid constraint, reduce peak-load regulating ability, abandon wind outstanding problem.
The content of the invention
The present invention is to solve the above-mentioned problems, it is proposed that a kind of system combined economy of electric-thermal based on heat supply network heat accumulation characteristic
Dispatching method, the present invention carry out orderly control by storing heat release to heat supply network, adjust thermoelectricity unit heating load within the specific limits
It is horizontal to change unit generation, increases thermoelectricity peak load regulation nargin, improves peak load regulation ability.Construct wind power integration risk at the same time
Model, the accurate journey of spare capacity is reserved by monitoring system busbar voltage fluctuation and computing system caused by wind power integration
Degree, considers the operation risk of system after wind-electricity integration.Solved using rapid particle swarm algorithm, carry dispatching method and model
Correctly, effectively.
To achieve these goals, the present invention adopts the following technical scheme that：
A kind of system combined economic load dispatching method of electric-thermal based on heat supply network heat accumulation characteristic, comprises the following steps：
(1) based on the system combined economic load dispatching of the electric-thermal containing wind-powered electricity generation of heat supply network heat accumulation characteristic to meet heat demand before
Carry, it is main target that minimum, which abandons wind, while takes into account wind power integration risk cost, establishes regulation goal function；
(2) determine the system constraints of regulation goal function, thermoelectricity unit constraints, pure condensate Unit commitment condition and
Heat supply network state constraint；
(3) computing system current generation heating load and wind power output；Judge whether due to system wind power integration ability itself
The limited generation for causing to abandon wind, if then carrying out deferring to the principle that wind-powered electricity generation is preferentially surfed the Internet, takes thermoelectricity unit to continuously adjust, and reduces
The scheduling strategy of unit heat supply steam extraction amount is regulated and controled；If not then carry out pre- according to previous period and present period wind power output
The scheduling strategy that wind possibility is abandoned in survey calculating is regulated and controled.
Further, in the step (1), voltage and current traveling wave data is obtained and obtain shaft tower in shaft tower database
Data.
Further, in the step (1), object function is：
Wherein,Air quantity is abandoned for the t periods；Ng1、Ng2Respectively thermoelectricity unit number and pure condensate unit number；ε is penalty factor；T
For dispatching cycle；fc1(i, t) is thermoelectricity unit i in the operating cost of t periods, fc2(j, t) is fortune of the pure condensate unit j in the t periods
Row expense, fRCSFor wind-electricity integration risk cost.
In the step (2), system constraints include system power Constraints of Equilibrium and system heat load Constraints of Equilibrium；
The thermoelectricity unit constraints includes：Hotspot stress constraint, thermoelectricity unit units limits and unit ramp loss；
The pure condensate Unit commitment condition includes：Pure condensate unit output constrains and unit ramp loss；
The heat supply network state constraint includes：The constraint of heat supply network air source pressure intensity, interim heat accumulation of the heat supply network during heat supply in factory
Measure upper lower limit value constraint and thermal balance constraint.
Carried model is solved using rapid particle swarm algorithm.
Further, in the step (3), system wind power integration ability itself is limited to heat supply and wind power output is in
A high position, thermoelectricity unit is limited by heat supply restriction peak modulation capacity, and the power load of the period is in low level, and wind-powered electricity generation is by system sheet
The limitation of body wind power integration ability is difficult to dissolve.
Further, in the step (3), the principle that wind-powered electricity generation is preferentially surfed the Internet is deferred to, takes thermoelectricity unit to continuously adjust, subtracts
Few unit heat supply steam extraction amount, heat supply network store heat release supplemental heat source lack part, and scheduling thermoelectricity unit changes heat supply steam extraction parameter adjustment
Contribute, increase thermoelectricity peak load regulation nargin is in a manner of improving peak-load regulating ability, consumption of the promotion system to wind-powered electricity generation.
Further, in the step (4), abandoning wind according to previous period and the prediction calculating of present period wind power output may
Property scheduling strategy carry out regulating strategy include：Abandoning wind according to previous period and the prediction calculating of present period wind power output may
Property, wind the value of the confidence is abandoned if abandoning wind possibility and being less than, the normal heat supply of thermoelectricity unit does not adjust；If abandon wind possibility to be more than or equal to
Abandon wind the value of the confidence, i.e., it is more to abandon wind since the randomness of wind power output causes spinning reserve meet that wind power integration condition produces,
Then heat release is stored to heat supply network to be controlled in advance, adjust the mode of thermoelectricity unit steam extraction parameter in advance using heat supply network energy-storage function, it is excellent
Change the heat supply of thermoelectricity unit to contribute, increase peak load regulation nargin.
Compared with prior art, beneficial effects of the present invention are：
The present invention stores heat release link by adding heat supply network during the system combined economic load dispatching of electric-thermal, abandons wind anticipation ring
Section, stores heat release to heat supply network and carries out orderly regulation and control, and adjustment thermoelectricity unit heating load change unit generation is horizontal within the specific limits,
The degree of coupling for heat and generating power is reduced, can ensure to increase thermoelectricity peak load regulation nargin while heat demand, improve unit tune
Peak energy power, the present invention can improve system wind electricity digestion level with the operating cost and risk of effective coordination system, and wind is abandoned in reduction
Amount.
Brief description of the drawings
The accompanying drawings which form a part of this application are used for providing further understanding of the present application, and the application's shows
Meaning property embodiment and its explanation are used to explain the application, do not form the improper restriction to the application.
Fig. 1 electric loads and thermal load demands curve；
Fig. 2 wind power output curves；
Fig. 3 day parts abandon wind possibility；
Fig. 4 busbar voltage profile exponents；
Fig. 5 wind-powered electricity generation uncertainty costs；
Fig. 6 considers to abandon air quantity before and after heat supply network heat accumulation；
The two benches Joint economics scheduling strategy of Fig. 7 electric-thermal systems；
Embodiment：
The invention will be further described with embodiment below in conjunction with the accompanying drawings.
It is noted that described further below is all illustrative, it is intended to provides further instruction to the application.It is unless another
Indicate, all technical and scientific terms used herein has usual with the application person of an ordinary skill in the technical field
The identical meanings of understanding.
It should be noted that term used herein above is merely to describe embodiment, and be not intended to restricted root
According to the illustrative embodiments of the application.As used herein, unless the context clearly indicates otherwise, otherwise singulative
It is also intended to include plural form, additionally, it should be understood that, when in the present specification using term "comprising" and/or " bag
Include " when, it indicates existing characteristics, step, operation, device, component and/or combinations thereof.
In the present invention, term as " on ", " under ", "left", "right", "front", "rear", " vertical ", " level ", " side ",
The orientation or position relationship of instructions such as " bottoms " are based on orientation shown in the drawings or position relationship, only to facilitate describing this hair
Bright each component or component structure relation and definite relative, not refer in particular to either component or element in the present invention, it is impossible to understand
For limitation of the present invention.
In the present invention, term such as " affixed ", " connected ", " connection " should be interpreted broadly, and expression can be fixedly connected,
Can also be integrally connected or be detachably connected；It can be directly connected, can also be indirectly connected by intermediary.For
The related scientific research of this area or technical staff, can determine the concrete meaning of above-mentioned term in the present invention as the case may be,
It is not considered as limiting the invention.
Step 1：Establish the object function of the system combined economic load dispatching of the electric-thermal containing wind-powered electricity generation based on heat supply network heat accumulation characteristic；
Based on the system combined economic load dispatching of the electric-thermal containing wind-powered electricity generation of heat supply network heat accumulation characteristic premised on meeting heat demand,
It is main target that minimum, which abandons wind, while takes into account wind power integration risk cost, and object function is as follows：
In formula：Air quantity is abandoned for the t periods；Ng1、Ng2Respectively thermoelectricity unit number and pure condensate unit number；ε is penalty factor；T
For dispatching cycle；fc1(i, t) is operating costs of the thermoelectricity unit i in the t periods；
aI, 1To aI, 6For the consumption characteristic coefficient of i-th thermoelectricity unit, Pi,tAnd Di,tRespectively i-th thermoelectricity unit is in t
The electricity of period is contributed and heat supply steam extraction amount；fc2(j, t) is operating costs of the pure condensate unit j in the t periods；
bJ, 1To bJ, 3For the consumption characteristic coefficient of jth platform pure condensate unit, Pj,tContribute for the electricity of jth platform pure condensate unit.
fRCSFor wind-electricity integration risk cost.
In formula：
1)μ'tFor busbar voltage profile exponent μtNormalized value, i.e.,
Busbar voltage profile exponent μtIt is the standard deviation of different busbar voltage observations in power grid, characterizes after wind-electricity integration it
Level of disruption of the output fluctuation to power grid.
ukFor k-th of busbar voltage observation,To observe average voltage, m is observation sample capacity.
2) ξ is wind-powered electricity generation compared to plan undercapacity or the cost coefficient of surplus；
3)ψtFor t moment wind power output deficiency or the probability of surplus；
WithIt is less than or greater than the probability of plan output for actual contribute of wind-powered electricity generation.
Contribute for wind-powered electricity generation t moment is actual, Pw,tContribute for the plan of wind-powered electricity generation t moment,It is planned out for wind-powered electricity generation t moment
The probability density of power.
4)EtFor the actual conditional expectation contributed of t moment wind-powered electricity generation
For the actual output w of wind-powered electricity generationtProbability density function, Ed,tThe condition phase of wind-powered electricity generation during undercapacity actual for wind-powered electricity generation
Hope, Eu,tThe conditional expectation of wind power output during output surplus actual for wind-powered electricity generation.
5)Pw,tFor the actual access amount of wind-powered electricity generation of t moment system；
6) Δ T is period interval.
Step 2：Constraints describes；
Constraints includes：System constraints, thermoelectricity unit constraints, pure condensate Unit commitment condition and heat supply network state
Constraint.
The system constraints include：System power Constraints of Equilibrium, system heat load Constraints of Equilibrium.
1) system power Constraints of Equilibrium
Pi,tContribute for electricity of i-th thermoelectricity unit in the t periods, Pj,tContribute for the electricity of jth platform pure condensate unit, Pw,tFor wind
Electric t moment plan is contributed,Air quantity, P are abandoned for the t periodsL,tFor t period electric loads.
2) system heat load Constraints of Equilibrium
For the heating load of i-th thermoelectricity unit of t periods, Di,tHeat supply of the respectively i-th thermoelectricity unit in the t periods
Steam extraction amount,ΔHi,tFor the enthalpy drop of i-th thermoelectricity unit steam extraction, QL,tFor t period thermic loads.
The thermoelectricity unit constraints includes：Hotspot stress constraint, thermoelectricity unit units limits and unit ramp loss.
1) hotspot stress constrains
Pi,t=Hi,t/khp (14)
Pi,tContribute for electricity of i-th thermoelectricity unit in the t periods, Hi,tIt is i-th thermoelectricity unit in the heating load of t periods, khpFor
The hotspot stress of thermoelectricity unit.
2) thermoelectricity unit units limits
Pi,min≤Pi,t≤Pi,max (15)
Di,min≤Di,t≤Di,max (16)
3) unit ramp loss
Pi,t-Pi,t-1≤Ru,iΔT (17)
Pi,t-1-Pi,t≤Rd,iΔT (18)Ru,iAnd Rd,iFor the creep speed up and down of thermoelectricity unit i.
The pure condensate Unit commitment condition includes：Pure condensate unit output constrains and unit ramp loss.
1) pure condensate unit output constrains
Pj,min≤Pj,t≤Pj,max (19)
2) unit ramp loss
Pj,t-Pj,t-1≤Ru,jΔT (20)
Pj,t-1-Pj,t≤Rd,jΔT (21)
Ru,jAnd Rd,jFor the creep speed up and down of pure condensate unit j.
3) the positive and negative spinning reserve capacity constraint of system
pu,sAnd pd,sPositive and negative spare, the P provided for systemw,tContribute for the plan of wind-powered electricity generation t moment, Pw,tGo out for the maximum of wind-powered electricity generation
Power, PL,tFor t period electric loads, L+% and L-% is load to the demand percentage of spare capacity, wu% and wd% is wind power output
To spare capacity needs ratio, pu,jAnd pd,jContribute for the pure condensate unit j positive and negative spinning reserves provided and minimum rotation.
Using the heat accumulation characteristic of heat supply network, adjustment thermoelectricity unit heat supply steam extraction amount improves peak load regulation ability, it is necessary to ensure heat
Net safe and stable operation, it then follows heat supply network state constraint.The heat supply network state constraint includes：The constraint of heat supply network air source pressure intensity, heat in factory
Interim quantity of heat storage upper lower limit value constraint and thermal balance constraint of the net during heat supply.
1) heat supply network air source pressure intensity constrains in factory：Heat supply steam extraction amount is reduced in short time, when improving thermoelectricity unit peak modulation capacity,
Need to ensure that heat supply network air source pressure intensity maintains a safe range in factory, i.e.,
Px≥Pmin (24)
According to isenthalpic expansion principle, PxIt is calculated as below：
PxFor heat supply network air source pressure intensity, v in factoryxFor the steam specific volume under heat supply network air source pressure intensity to be solved,For same steam enthalpy
Pressure P under businessxWith steam specific volume vxRelation,For heat supply network volume, M1It is inclined for confession heat flow input and output for heat supply network quantity of steam, τ
Difference,THeat release duration, v are stored for heat supply network1For the steam specific volume under design load.
2) interim quantity of heat storage upper lower limit value constraint of the heat supply network during heat supply
Smin≤St≤Smax (27)
StIt is heat supply network t period stage quantity of heat storage, SminAnd SmaxFor heat supply network minimum and maximum quantity of heat storage.
3) thermal balance constrains
ΔT(Hin,t-Hout,t-klossSt)=St+1-St (28)
Hin,tHeat input, H are supplied for t periods heat supply networkout,tHeat output, k are supplied for t periods heat supply networklossFor thermal losses coefficient, Δ T
For time interval.
Step 3：Computing system current generation heating load and wind power output；Judge whether due to system wind power integration itself
Ability is limited, and (heat supply and wind power output are in a high position, thermoelectricity unit is restricted that peak modulation capacity is limited by heat supply, and the period
Power load is in low level, and wind-powered electricity generation is limited by system wind power integration ability itself to be difficult to dissolve) cause the generation of abandoning wind, if
First stage scheduling strategy is then carried out to be regulated and controled；Regulated and controled if not then carrying out second stage scheduling strategy；
The first stage scheduling strategy：The principle of wind-powered electricity generation " preferential online " is deferred to, takes thermoelectricity unit to continuously adjust, subtracts
Few unit heat supply steam extraction amount, heat supply network store heat release supplemental heat source lack part, and scheduling thermoelectricity unit changes heat supply steam extraction parameter adjustment
Contribute, increase thermoelectricity peak load regulation nargin is in a manner of improving peak-load regulating ability, consumption of the promotion system to wind-powered electricity generation；
The second stage scheduling strategy：Abandoning wind according to previous period and the prediction calculating of present period wind power output may
Property.Wind the value of the confidence is abandoned if abandoning wind possibility and being less than, the normal heat supply of thermoelectricity unit does not adjust；If abandon wind possibility to be more than or equal to
Wind the value of the confidence (abandoning wind since the randomness of wind power output causes spinning reserve can not meet that wind power integration condition produces more) is abandoned, then
Heat release is stored to heat supply network to be controlled in advance, adjusts the mode of thermoelectricity unit steam extraction parameter in advance using heat supply network energy-storage function, is optimized
The heat supply of thermoelectricity unit is contributed, and increases peak load regulation nargin.
Abandon wind possibility PkThe deviation probability calculation contributed by the actual output of wind-powered electricity generation and prediction：
WithIt is less than or greater than the probability of plan output for actual contribute of wind-powered electricity generation.
Contribute for wind-powered electricity generation t moment is actual, Pw,tContribute for the plan of wind-powered electricity generation t moment,It is planned out for wind-powered electricity generation t moment
The probability density of power.
Embodiment：
Below with certain power grid system being made of 4 pure condensate units, 6 steam-extracting type thermoelectricity units and 1 wind power plant of construction
Exemplified by system, the present invention is further described.Steam-extracting type thermoelectricity unit parameter is shown in Table 1, pure condensate unit parameter and is shown in Table 2.
1 steam-extracting type thermoelectricity unit parameter of table
2 pure condensate unit parameter of table
Steam-extracting type thermoelectricity unit steam extraction enthalpy drop is uniformly arranged to 2327kJ/kg, and heat supply network capacity is 35t, and theory, which can utilize, to be stored
Hot steam amount is 7t, and the storage heat release duration is 0.5h, can be 15th with change steam extraction amount-1；Load is to spare demand ratio
Example L+% and L-% values are 5%；Wind energy turbine set installed capacity is 220MW, and wind-powered electricity generation is to spare demand percentage wu% and wd% values
For 20% and 30%, wind-powered electricity generation is compared to plan undercapacity or cost coefficient ξ=20/(MWh) of surplus；Electric load and heat
Workload demand curve is as shown in Figure 1, wind power output curve is as shown in Figure 2.
Fig. 1 day parts electric load and thermic load are horizontal, 23:00-04:00 period, power load is in 980MW-1080MW
Section, thermic load but maintain 1300GJ/h, it is seen that thermoelectricity unit heat loads weight, thermoelectricity peak load regulation nargin is weak, system tune
Peak limited ability, first stage scheduling strategy is taken in this stage；Wind the value of the confidence P is abandoned in settingz=0.55, drawn according to formula (29)
05:00-22:00 period abandoned wind possibility, as shown in figure 3, the period 11 to that may abandon wind:00-13:00 takes second stage
Scheduling strategy.
Busbar voltage profile exponent is related with wind power output fluctuation severe degree, can be obtained by actual survey calculation, this
Assume that wind power output rate of change, into sine relation, to busbar voltage fluctuation simulate with busbar voltage fluctuation in embodiment
To busbar voltage profile exponent as shown in figure 4, that wind-electricity integration risk cost is calculated according to formula (4) is as shown in Figure 5.
Shown in Fig. 5, when institute's established model is to minimize wind-electricity integration risk cost as regulation goal, day part wind-electricity integration
Risk cost is as shown in yellow line in Fig. 5, and system more focuses on the security and stabilization of system on the operation of wind power integration at this time
Property, when multi-mode operation selection during in face of wind-electricity integration, is more conservative, compared to abandon the minimum regulation goal of air quantity, risk cost
It is relatively low, generally select the economic benefit for sacrificing part wind-powered electricity generation, safeguards system more stable operation；It is minimum always to abandon air quantity when system
For regulation goal when, wind-electricity integration risk cost is higher, system safely limit in the range of, wind-powered electricity generation is more accessed, reduce
Wind is abandoned, more utilizes wind-powered electricity generation.
23:00-04:00 and 11:00-13:00 is respectively adopted thermo-electrically system combined economic load dispatching first stage and second-order
Section scheduling strategy, using two benches scheduling strategy, reduction system abandons air quantity, as shown in Figure 6.
Electric-thermal system adds heat supply network during combined dispatching and stores heat release link, abandons wind anticipation link, effectively utilizes heat
Net heat storage function, reduces thermoelectricity unit heating load in the short time, increase the peak regulation nargin of thermoelectricity unit, improves peak-load regulating energy
Power, more dissolves wind-powered electricity generation, and wind is abandoned in reduction.
The foregoing is merely the preferred embodiment of the application, the application is not limited to, for the skill of this area
For art personnel, the application can have various modifications and variations.It is all within spirit herein and principle, made any repair
Change, equivalent substitution, improvement etc., should be included within the protection domain of the application.
Although above-mentioned be described the embodiment of the present invention with reference to attached drawing, model not is protected to the present invention
The limitation enclosed, those skilled in the art should understand that, on the basis of technical scheme, those skilled in the art are not
Need to make the creative labor the various modifications that can be made or deformation still within protection scope of the present invention.
Claims (10)
1. a kind of system combined economic load dispatching method of electric-thermal based on heat supply network heat accumulation characteristic, it is characterized in that：Comprise the following steps：
(1) based on the system combined economic load dispatching of the electric-thermal containing wind-powered electricity generation of heat supply network heat accumulation characteristic premised on meeting heat demand, most
Small wind of abandoning is main target, while takes into account wind power integration risk cost, establishes regulation goal function；
(2) system constraints, thermoelectricity unit constraints, pure condensate Unit commitment condition and the heat supply network of regulation goal function are determined
State constraint；
(3) computing system current generation heating load and wind power output；Judge whether since system wind power integration ability itself is limited
Cause the generation for abandoning wind, if then carrying out deferring to the principle that wind-powered electricity generation is preferentially surfed the Internet, take thermoelectricity unit to continuously adjust, reduce unit
The scheduling strategy of heat supply steam extraction amount is regulated and controled；If not then carry out according to previous period and present period wind power output prediction meter
The scheduling strategy that wind possibility is abandoned in calculation is regulated and controled.
2. a kind of system combined economic load dispatching method of electric-thermal based on heat supply network heat accumulation characteristic as claimed in claim 1, its feature
It is：In the step (1), obtain voltage and current traveling wave data and shaft tower data are obtained in shaft tower database.
3. a kind of system combined economic load dispatching method of electric-thermal based on heat supply network heat accumulation characteristic as claimed in claim 1, its feature
It is：In the step (1), object function is：
<mrow>
<mi>M</mi>
<mi>i</mi>
<mi>n</mi>
<munderover>
<mo>&Sigma;</mo>
<mrow>
<mi>t</mi>
<mo>=</mo>
<mn>1</mn>
</mrow>
<mi>T</mi>
</munderover>
<mrow>
<mo>(</mo>
<mrow>
<msubsup>
<mi>P</mi>
<mrow>
<mi>W</mi>
<mo>,</mo>
<mi>t</mi>
</mrow>
<mrow>
<mi>c</mi>
<mi>u</mi>
<mi>r</mi>
<mi>t</mi>
</mrow>
</msubsup>
<mo>+</mo>
<mi>&epsiv;</mi>
<mrow>
<mo>(</mo>
<mrow>
<munderover>
<mo>&Sigma;</mo>
<mrow>
<mi>i</mi>
<mo>=</mo>
<mn>1</mn>
</mrow>
<msub>
<mi>N</mi>
<mrow>
<mi>g</mi>
<mn>1</mn>
</mrow>
</msub>
</munderover>
<msub>
<mi>f</mi>
<mrow>
<mi>c</mi>
<mn>1</mn>
</mrow>
</msub>
<mrow>
<mo>(</mo>
<mrow>
<mi>i</mi>
<mo>,</mo>
<mi>t</mi>
</mrow>
<mo>)</mo>
</mrow>
<mo>+</mo>
<munderover>
<mo>&Sigma;</mo>
<mrow>
<mi>j</mi>
<mo>=</mo>
<mn>1</mn>
</mrow>
<msub>
<mi>N</mi>
<mrow>
<mi>g</mi>
<mn>2</mn>
</mrow>
</msub>
</munderover>
<msub>
<mi>f</mi>
<mrow>
<mi>c</mi>
<mn>2</mn>
</mrow>
</msub>
<mrow>
<mo>(</mo>
<mrow>
<mi>j</mi>
<mo>,</mo>
<mi>t</mi>
</mrow>
<mo>)</mo>
</mrow>
</mrow>
<mo>)</mo>
</mrow>
</mrow>
<mo>)</mo>
</mrow>
<mo>+</mo>
<msub>
<mi>f</mi>
<mrow>
<mi>R</mi>
<mi>C</mi>
<mi>S</mi>
</mrow>
</msub>
</mrow>
Wherein,Air quantity is abandoned for the t periods；Ng1、Ng2Respectively thermoelectricity unit number and pure condensate unit number；ε is penalty factor；T is tune
Spend the cycle；fc1(i, t) is thermoelectricity unit i in the operating cost of t periods, fc2(j, t) is running costs of the pure condensate unit j in the t periods
With fRCSFor wind-electricity integration risk cost.
4. a kind of system combined economic load dispatching method of electric-thermal based on heat supply network heat accumulation characteristic as claimed in claim 1, its feature
It is：In the step (2), system constraints include system power Constraints of Equilibrium and system heat load Constraints of Equilibrium.
5. a kind of system combined economic load dispatching method of electric-thermal based on heat supply network heat accumulation characteristic as claimed in claim 1, its feature
It is：In the step (2), the thermoelectricity unit constraints includes：Hotspot stress constraint, thermoelectricity unit units limits and unit are climbed
Slope constrains.
6. a kind of system combined economic load dispatching method of electric-thermal based on heat supply network heat accumulation characteristic as claimed in claim 1, its feature
It is：In the step (2), the pure condensate Unit commitment condition includes：Pure condensate unit output constrains and unit ramp loss.
7. a kind of system combined economic load dispatching method of electric-thermal based on heat supply network heat accumulation characteristic as claimed in claim 1, its feature
It is：In the step (2), the heat supply network state constraint includes：The constraint of heat supply network air source pressure intensity, rank of the heat supply network during heat supply in factory
The constraint of section property quantity of heat storage upper lower limit value and thermal balance constraint.
8. a kind of system combined economic load dispatching method of electric-thermal based on heat supply network heat accumulation characteristic as claimed in claim 1, its feature
It is：In the step (3), system wind power integration ability itself is limited to heat supply and wind power output is in a high position, thermoelectricity unit
It is limited by heat supply restriction peak modulation capacity, and the power load of the period is in low level, and wind-powered electricity generation is by system wind power integration energy itself
The limitation of power is difficult to dissolve.
9. a kind of system combined economic load dispatching method of electric-thermal based on heat supply network heat accumulation characteristic as claimed in claim 1, its feature
It is：In the step (3), the principle that wind-powered electricity generation is preferentially surfed the Internet is deferred to, takes thermoelectricity unit to continuously adjust, reduce unit heat supply steam extraction
Amount, heat supply network store heat release supplemental heat source lack part, and scheduling thermoelectricity unit changes heat supply steam extraction parameter adjustment and contributes, and increases thermoelectric perpetual motion machine
Group peak regulation nargin is in a manner of improving peak-load regulating ability, consumption of the promotion system to wind-powered electricity generation.
10. a kind of system combined economic load dispatching method of electric-thermal based on heat supply network heat accumulation characteristic as claimed in claim 1, it is special
Sign is：In the step (4), the scheduling strategy for abandoning wind possibility is calculated according to previous period and the prediction of present period wind power output
Carrying out regulating strategy includes：Wind possibility is abandoned according to previous period and the prediction calculating of present period wind power output, may if abandoning wind
Property be less than abandon wind the value of the confidence, then the normal heat supply of thermoelectricity unit does not adjust；Wind the value of the confidence is abandoned if abandoning wind possibility and being more than or equal to, i.e.,
Wind is abandoned since the randomness of wind power output causes spinning reserve can not meet that wind power integration condition produces more, then heat release is stored to heat supply network
Controlled in advance, adjust the mode of thermoelectricity unit steam extraction parameter in advance using heat supply network energy-storage function, optimize thermoelectricity unit heat supply
Contribute, increase peak load regulation nargin.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201711348256.1A CN108009743A (en) | 2017-12-15 | 2017-12-15 | The system combined economic load dispatching method of electric-thermal based on heat supply network heat accumulation characteristic |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201711348256.1A CN108009743A (en) | 2017-12-15 | 2017-12-15 | The system combined economic load dispatching method of electric-thermal based on heat supply network heat accumulation characteristic |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN108009743A true CN108009743A (en) | 2018-05-08 |
Family
ID=62059448
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201711348256.1A Pending CN108009743A (en) | 2017-12-15 | 2017-12-15 | The system combined economic load dispatching method of electric-thermal based on heat supply network heat accumulation characteristic |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN108009743A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110197321A (en) * | 2019-04-17 | 2019-09-03 | 无锡利信能源科技有限公司 | A method of based on the collaboration heat supply safety economy scheduling of multicomputer heating unit |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20090062969A1 (en) * | 2007-08-28 | 2009-03-05 | General Electric Company | Hybrid robust predictive optimization method of power system dispatch |
| CN106849188A (en) * | 2017-01-23 | 2017-06-13 | 中国电力科学研究院 | The combined heat and power optimization method and system of a kind of promotion wind electricity digestion |
| CN106953367A (en) * | 2017-03-14 | 2017-07-14 | 国网天津市电力公司 | Wind electricity digestion method for the heat and power system of unit containing Combined cycle gas-steam turbine |
| WO2017151606A1 (en) * | 2016-02-29 | 2017-09-08 | The Regents Of The University Of California | Modular thermal energy storage system |
| CN107370188A (en) * | 2017-09-11 | 2017-11-21 | 国网山东省电力公司莱芜供电公司 | A kind of power system Multiobjective Scheduling method of meter and wind power output |
-
2017
- 2017-12-15 CN CN201711348256.1A patent/CN108009743A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20090062969A1 (en) * | 2007-08-28 | 2009-03-05 | General Electric Company | Hybrid robust predictive optimization method of power system dispatch |
| WO2017151606A1 (en) * | 2016-02-29 | 2017-09-08 | The Regents Of The University Of California | Modular thermal energy storage system |
| CN106849188A (en) * | 2017-01-23 | 2017-06-13 | 中国电力科学研究院 | The combined heat and power optimization method and system of a kind of promotion wind electricity digestion |
| CN106953367A (en) * | 2017-03-14 | 2017-07-14 | 国网天津市电力公司 | Wind electricity digestion method for the heat and power system of unit containing Combined cycle gas-steam turbine |
| CN107370188A (en) * | 2017-09-11 | 2017-11-21 | 国网山东省电力公司莱芜供电公司 | A kind of power system Multiobjective Scheduling method of meter and wind power output |
Non-Patent Citations (6)
| Title |
|---|
| ZHEJING BAO: "A Multi Time-Scale and Multi Energy-Type Coordinated Microgrid Scheduling Solution—Part I: Model and Methodology", 《IEEE TRANSACTIONS ON POWER SYSTEMS》 * |
| 杨丽君: "计及备用容量及考虑禁止区间的含风-蓄电力系统经济调度", 《电网技术》 * |
| 杨佳俊: "考虑风电接入的电力系统经济调度研究综述", 《东北电力技术》 * |
| 杨佳俊: "计及风险及备用成本的含风电电力系统经济调度", 《山东电力技术》 * |
| 翁振星: "计及风电成本的电力系统动态经济调度", 《中国电机工程学报》 * |
| 陈磊: "储热提升风电消纳能力的实施方式及效果分析", 《中国电机工程学报》 * |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110197321A (en) * | 2019-04-17 | 2019-09-03 | 无锡利信能源科技有限公司 | A method of based on the collaboration heat supply safety economy scheduling of multicomputer heating unit |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Yang et al. | Energy regulating and fluctuation stabilizing by air source heat pump and battery energy storage system in microgrid | |
| CN106960282B (en) | Coordinated operation method of gas-electricity comprehensive energy distribution network system | |
| CN110492534B (en) | Flexibility-considered random optimal scheduling method for wind power-containing power system | |
| CN104616208B (en) | A kind of supply of cooling, heating and electrical powers type micro-capacitance sensor operation method based on Model Predictive Control | |
| CN108039736A (en) | A kind of large capacity heat accumulation storing up electricity coordinated scheduling method for improving wind-powered electricity generation and receiving ability | |
| CN107590579A (en) | A kind of heat and power system Joint economics dispatching method using heat supply network energy storage characteristic | |
| CN109038686A (en) | A kind of rolling optimal dispatching method based on wind power output prediction error | |
| CN106877338A (en) | Alternating current-direct current micro-capacitance sensor uncertain optimization operation method containing high density intermittent energy source | |
| CN111934360B (en) | Virtual power plant-energy storage system energy collaborative optimization regulation and control method based on model predictive control | |
| Komala et al. | Storage and non-Storage Methods of Power balancing to counter Uncertainty in Hybrid Microgrids-A review | |
| CN107332286A (en) | A kind of cogeneration of heat and power containing heat accumulation and wind-powered electricity generation coordinated scheduling method | |
| CN109617142A (en) | A kind of CCHP type micro-capacitance sensor Multiple Time Scales Optimization Scheduling and system | |
| CN106953316A (en) | Micro-capacitance sensor becomes time scale Optimization Scheduling | |
| CN105373842A (en) | Micro-grid energy optimization and evaluation method based on full energy flow model | |
| CN111898806B (en) | Electric-thermal coupling source storage integrated multipotency flow park operation optimization method and system | |
| An et al. | Coordinative optimization of hydro-photovoltaic-wind-battery complementary power stations | |
| CN113159423A (en) | Multi-energy combined optimization scheduling operation method based on wind, fire and light storage coordination | |
| Islam et al. | Dual stage microgrid energy resource optimization strategy considering renewable and battery storage systems | |
| Kushwaha et al. | A novel framework to assess synthetic inertia & primary frequency response support from energy storage systems | |
| CN108009743A (en) | The system combined economic load dispatching method of electric-thermal based on heat supply network heat accumulation characteristic | |
| Bruno et al. | Managing networked hybrid-energy systems: A predictive dispatch approach | |
| Si et al. | Capacity allocation of hybrid power system with hot dry rock geothermal energy, thermal storage, and PV based on game approaches | |
| Jin et al. | Research on energy management of microgrid in power supply system using deep reinforcement learning | |
| Liang et al. | Risk Stabilization and Market Bidding Strategy of Virtual Power Plant Alliance Based on Multi-stage Robust Optimization | |
| Qi et al. | Economic dispatch and flexibility enhancement of multi-energy microgrid considering cross-seasonal heat balance of ground source heat pump |
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 | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20180508 |