CN109510238A - A kind of coordinated scheduling Unit Combination method of Efficient Solution water power thermoelectricity wind-powered electricity generation - Google Patents
A kind of coordinated scheduling Unit Combination method of Efficient Solution water power thermoelectricity wind-powered electricity generation Download PDFInfo
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Abstract
The invention discloses a kind of Unit Combination methods of Efficient Solution water power thermoelectricity wind-powered electricity generation coordinated scheduling.Compared with existing Unit Combination method, this method fully considers the characteristic of cascade hydropower unit, the power generation dispatching of step reservoir is combined with flood storage scheduling, the Unit Combination method that design coping with uncertainty wind-powered electricity generation accesses on a large scale.Its method particularly includes: 1. input thermoelectricitys, wind-powered electricity generation and Hydropower Unit related data；2. selection target function simultaneously establishes mixed integer linear programming equation group according to equality and inequality constraints in electric system；3. MIXED INTEGER system of linear equations problem is divided into 4 subproblems；4. the Unit Combination subproblem under scene without trend constraint acquires start-stop of generator set machine sequence and active power operating point on the estimation, successively brings into other three inspection subproblems and carry out circular test；5. obtaining meeting all Unit Combination results of 4 subproblems and as generating set scheduling scheme.Robust back-up algorithm of the invention based on most harsh conditions proposes that specific aim simplifies method, is significantly reduced calculation amount, is that its application in practical power systems is taken a firm foundation.
Description
Technical field
The invention belongs to the operation of electric system, analysis and dispatching technique field more particularly to Efficient Solution water power-fire
Electricity-wind-powered electricity generation coordinated scheduling Unit Combination method.
Background technique
As the new energy such as wind-powered electricity generation largely generate electricity by way of merging two or more grid systems, the uncertainty of power grid is significantly increased, system power generation and spare appearance
Amount scheduling is faced with new challenges.Electric system includes multiple types generating set, such as fired power generating unit, Hydropower Unit, power generation
Different with alternative characteristic, cooperative scheduling different type generating set is significant for system consumption wind-powered electricity generation.
The present invention proposes a variety of backup forms according to the uncertainty of wind-powered electricity generation.According to water power, the respective characteristic design of thermoelectricity
Unit Combination model.It proposes the robust Unit Combination algorithm solving model based on Interval Programming most harsh conditions, guarantees system peace
It totally disappeared and receive wind-powered electricity generation.
In addition, the present invention comprehensively considers cascade hydropower power generation dispatching and reservoir capacity scheduling, United Dispatching generation assets
With reservoir water resource, reservoir capacity safety is improved while guaranteeing that system power supply is safe.
Summary of the invention
In view of the above-mentioned deficiencies in the prior art, it is an object of the present invention to provide a kind of Efficient Solution water power-thermoelectricity-wind-powered electricity generation association
Tune degree Unit Combination method, the present invention guarantee that Unit Commitment result in the case where wind-powered electricity generation fluctuates, meets load
Demand simultaneously guarantees system load flow safety.
The purpose of the present invention is achieved through the following technical solutions: a kind of Efficient Solution water power-thermoelectricity-wind-powered electricity generation association
Tune degree Unit Combination method, includes the following steps:
S1: receiving the following 24 hours workload demand data of system that power-management centre obtains, output of wind electric field predicts number
According to；Receive step power station storage capacity data and the following day part natural water amount prediction data；Receive system line parameter and water,
Fired power generating unit parameter；Its specific data are as follows:
pi,tFor fired power generating unit i t moment power output；ph,tFor Hydropower Unit h t moment output power；pk,tFor
Power generation or energy storage power of the energy storage unit k in the t period；Pwk,tFor wind power plant k t moment power output；Vs, t are reservoir s
In the storage capacity of t moment；nqjCarry out water naturally in t moment for reservoir j；
S2: carrying out linearisation modeling to the Optimization of Unit Commitment By Improved of electric system, according to service requirement selection target function and
Constraint condition, including equality constraint and inequality constraints condition constitute Mixed integer linear programming；
S3: the Mixed integer linear programming of step 2 is decomposed, and is decomposed under estimated scene without trend constraint
Unit Combination subproblem, the Unit Combination of the constraint containing Line Flow is examined under subproblem, most severe scene not under estimated scene
Unit Combination containing trend constraint examines the Unit Combination of route trend constraint under subproblem and most severe scene to examine subproblem；
S4: it solves the Unit Combination under estimated scene without trend constraint and examines subproblem, acquire start-stop of generator set machine
Sequence and active power operating point, operating point indicate the size of generator active power；
S5: step 4 gained unit operating point is brought to the Unit Combination syndrome of the constraint containing Line Flow under estimated scene into
Whether problem examines trend out-of-limit；If trend constraint all meets, enter in next step, otherwise with the trend being unable to satisfy
Constraint generates Benders and cuts and as constraint condition return step 4；
S6: the start-stop of generator set machine sequence of step 4 is brought under most severe scene and is examined without trend constraint Unit Combination
Subproblem solution is tested, if meeting whole constraint conditions, unit operating point under most severe scene is acquired and enters in next step, otherwise
It uses the constraint being unable to satisfy to generate Benders to cut as constraint condition return step 4；
S7: unit operating point under most severe scene obtained by step 6 is brought under the most severe scene constraint containing Line Flow
Subproblem is examined, examines trend whether out-of-limit；If trend constraint all meets, enter in next step, otherwise with being unable to satisfy
Trend constraint generate Benders cut and as constraint condition return step 6；
S8: using step 4 gained Unit Combination result as generating set scheduling scheme；
Under preferred embodiment, in the step 1, using prediction probability density function is based on, the wind of given confidence level is determined
Electricity power output section size；
Under preferred embodiment, the objective function of MIXED INTEGER linear equation and constraint condition and described in the step 2
The constraint condition of 4 inspection subproblems in step 3 are as follows:
Objective function is the system power generation expense reduced under estimated scene (wind power output is predicted value Pwf):
Wherein, F is thermoelectricity power generation expense, and ST is thermoelectricity switching cost, and Ng is fired power generating unit number, when Nt is Unit Combination
Number of segment；Because water power cost of electricity-generating is very low, its cost of electricity-generating is not considered；
It is expected that the constraint condition under scene are as follows:
Qh,t≥QSh(Ih,t-Ih,t-1), Qh,t≥0 (8)
ph,t=f (qh,t,Vj,t) (11)
Wherein, equation (2) is system power Constraints of Equilibrium, pi,tFor fired power generating unit i t moment power output；ph,tFor
Output power of the Hydropower Unit h in t moment；pk,tPower generation or energy storage power for energy storage unit k in the t period, positive value indicate hair
Electricity, negative value indicate energy storage；Pll,tIt is node l in t period load；Pwk,tFor wind power plant k t moment power output.Equation (3)
For system line trend constraint, Ts indicates that Line Flow transmits distribution coefficient matrix；FLlIndicate can bearing most for route l
Megatrend；Equation (4) indicates Hydropower Unit maximum, minimum load constraint；Ih,tFor Hydropower Unit h t moment operating status, 1
Indicate presence, 0 indicates off-line state；P h、Minimum, the maximum output allowed for unit h；Equation (5) indicates hydroelectric machine
The maximum of group, minimum water amount constraint；qh,tFor Hydropower Unit h t moment output power；q h、For Hydropower Unit h unit
Period minimum, maximum water amount；Equation (6) indicates Reservoir capacity-constrained；Vs, t are storage capacity of the reservoir s in t moment；V s、
For the upper and lower limit of permission storage capacity of reservoir s；Equation (7) indicates remaining storage capacity constraint after finishing scheduling；Vs,T+1When to dispatch
Remaining storage capacity upper and lower limit after section；Equation (8) indicates Hydropower Unit starting water, wherein Qh,tFor unit h t moment reality
Border starts water consumption, QShFor the starting water consumption of unit h, the practical starting water consumption of this paper includes starting water consumption and abandoning water
Amount；Equation (9) indicates reservoir Constraints of Equilibrium, wherein nqjCarry out water naturally in t moment for reservoir j；Reservoir j is the straight of reservoir i
Lower reservoir is connect, reservoir i's discharges water by period Δ tiReach reservoir j；Equation (10) indicates that reservoir unit time period allows most
Big waterdrainage amount, QvsFor the maximum allowable waterdrainage amount of reservoir s unit time period；Equation (11) indicates Hydropower Unit power output and water consumption, water
Relationship between reservoir level；Equation (12) indicates fired power generating unit units limits；ui,tFor fired power generating unit i t moment operation shape
State, 1 indicates presence, and 0 indicates off-line state；P i,For the minimum of fired power generating unit i, maximum output limitation；Equation (13) table
Show fired power generating unit minimum start-off time constraints, Ti,on、Ti,offFor unit i continuous online, offline time, Ti,up、Ti,downFor
The continuous online, offline time of the minimum of unit i；Equation (14) indicates the constraint of fired power generating unit climbing capacity, wherein Upi(Dpi) it is hair
Maximum upper (lower) climbing capacity of the motor group i within a period；SUiGo out for first period maximum after generating set i starting
Power；SDiFor the previous period maximum output of generating set i shutdown；
Reserve Constraint condition based on most severe scene are as follows:
Wherein, subscript l (u) respectively correspond wind power output be estimated section under (on) limit scene；Equation (15)-(18) are
It is spare to cope with the probabilistic generating capacity of wind-powered electricity generation；Equation (19) is that the reply probabilistic climbing capacity of wind-powered electricity generation is spare；Equation
(20)-(21) are that the reply probabilistic route transmission capacity of wind-powered electricity generation is spare, as Ts > 0, TPmax(min)=Ts × Pwu(l)；When
When Ts < 0, TPmax(min)=Ts × Pwl(u)；After specific decomposition, it is contemplated that the mesh of the Optimization of Unit Commitment By Improved under scene without trend constraint
Scalar functions are equation (1), and constraint condition is equation (2), (4)-(14)；It is expected that Line Flow examines subproblem corresponding under scene
Constraint condition is equation (3)；Unit Combination under most severe scene without trend constraint examines the corresponding constraint condition of subproblem
For equation (15)-(19)；It is equation (20)-(21) that Line Flow, which examines the corresponding constraint condition of subproblem, under most severe scene.
The beneficial effects of the invention are as follows receive water power-thermoelectricity-wind-powered electricity generation coordinated scheduling Unit Combination result more preferably
Wind-powered electricity generation, and system economy and safety are improved, method is furthermore simplified by Line Flow under most severe scene and improves solution speed
The application that degree is it in practical power systems is taken a firm foundation.
Detailed description of the invention
Fig. 1 is output of wind electric field distribution probability figure；
Fig. 2 is overall flow figure；
Fig. 3 is embodiment system schematic；
Fig. 4 is the out-of-limit schematic diagram of reservoir capacity for considering storage capacity constraint the wet season and not considering storage capacity constraint；
Fig. 5 is the schematic diagram for the system energy notch for considering storage capacity constraint dry season and not considering storage capacity constraint；
Fig. 6 is to consider that Line Flow is spare and does not consider the out-of-limit signal of the spare system line trend of Line Flow
Figure.
Specific embodiment
Step 1: receiving the following 24 hours workload demand data of system that power-management centre obtains, output of wind electric field is pre-
Measured data includes prediction wind power output and probability deviation section；It receives step power station storage capacity data and the following day part is natural
Carry out water prediction data；
(a) general output of wind electric field is distributed approximate Gaussian distribution, such as Fig. 1；According to weather forecast and historical data, wind can be obtained
The power output section [Pwl, Pwu] that the estimated power output Pwf of electric field and confidence level are α, α indicate that practical output of wind electric field is in section
The probability of [Pwl, Pwu]；
Step 2: the Optimization of Unit Commitment By Improved to electric system carries out linearisation modeling, according to service requirement selection target letter
Several and constraint condition, including equality constraint and inequality constraints condition constitute Mixed integer linear programming；
Step 3: the Mixed integer linear programming of second step is decomposed, it is decomposed under estimated scene without tide
It flows the Unit Combination subproblem of constraint, expect that Line Flow is examined under subproblem, most severe scene without trend constraint under scene
Unit Combination examine Line Flow inspection subproblem under subproblem and most severe scene；
(b) objective function of the Unit Combination subproblem without trend constraint is the estimated wind power output of system under estimated scene
Operating cost under scene is minimum；Equality constraint includes system node power-balance constraint, cascade hydropower storage capacity Constraints of Equilibrium, ladder
Grade water power power output and storage capacity, water consumption Constraints of Equilibrium；Inequality constraints includes that hydro, thermal units minimax technology is contributed about
Beam, fired power generating unit Climing constant, fired power generating unit minimum start and stop time-constrain, the constraint of cascade hydropower reservoir capacity bound, ladder
Grade water power reservoir unit time period waterdrainage amount constraint；
(c) it is Line Flow under estimated scene that Line Flow, which examines the constraint condition of subproblem, under estimated scene；
(d) equality constraint of the inspection subproblem under most severe scene without trend constraint includes system node power-balance
Constraint, cascade hydropower storage capacity Constraints of Equilibrium, cascade hydropower power output and storage capacity, water consumption Constraints of Equilibrium；Inequality constraints include water,
Fired power generating unit minimax technology units limits, fired power generating unit Climing constant, the constraint of cascade hydropower reservoir capacity bound, step
The constraint of water power reservoir unit time period waterdrainage amount；
(e) it is Line Flow under most severe scene that Line Flow, which examines the constraint condition of subproblem, under most severe scene；
Step 4: solving the Unit Combination subproblem for being free of trend constraint under estimated scene, acquires and generate electricity under prediction scene
Unit Commitment machine sequence and operating point；
Step 5: bringing unit operating point obtained by the 4th step under estimated scene Line Flow examines subproblem, tide is examined
It whether out-of-limit flows；If trend constraint all meets, enters in next step, otherwise generated with the trend constraint being unable to satisfy
Benders cuts and returns to the 4th step as constraint condition；
Step 6: the start-stop of generator set machine sequence of the 4th step is brought under most severe scene without trend constraint unit group
Syndrome problem solving is closed, if meeting whole constraint conditions, unit operating point under most severe scene is acquired and enters in next step,
Otherwise it uses the constraint being unable to satisfy to generate Benders to cut as constraint condition the 4th step of return；
It is examined step 7: bringing unit operating point under most severe scene obtained by the 6th step under most severe scene Line Flow
Whether subproblem examines trend out-of-limit；If trend constraint all meets, enter in next step, otherwise with the tide being unable to satisfy
Stream constraint generates Benders and cuts and as constraint condition return step six；
(a) Line Flow examines subproblem to simplify constraint condition under most severe scene；Each wind power plant is each
There are 2 kinds of most severe scenes (two endpoints that power output is forecast interval) in period, the system of n wind power plant is possessed for one, then
Each period needs to consider 2n kind scene, and calculation amount increases and exponential form increase with wind power plant, for extensive electric power
System-computed amount is excessive；The present invention makes each period only need to consider 2 kinds of extreme scenes using technology is simplified, and passes through route tide
The mathematic(al) manipulation of stream constraint guarantees system load flow safety, is finally reached the purpose for significantly reducing calculation amount；
Step 8: determining that prediction scene issues using Unit Combination result obtained by the 5th step as generating set scheduling scheme
Motor group start and stop sequence and operating point, to improve system overall economy quality and safety.
Embodiment:
Objective function is the system power generation expense reduced under estimated scene (wind power output is predicted value Pwf):
Wherein, F is thermoelectricity power generation expense, and ST is thermoelectricity switching cost, and Ng is fired power generating unit number, when Nt is Unit Combination
Number of segment；Because water power cost of electricity-generating is very low, its cost of electricity-generating is not considered；
It is expected that the constraint condition under scene are as follows:
Qh,t≥QSh(Ih,t-Ih,t-1), Qh,t≥0 (8)
ph,t=f (qh,t,Vj,t) (11)
Wherein, equation (2) is system power Constraints of Equilibrium, pi,tFor fired power generating unit i t moment power output；ph,tFor
Output power of the Hydropower Unit h in t moment；pk,tPower generation or energy storage power for energy storage unit k in the t period, positive value indicate hair
Electricity, negative value indicate energy storage；Pll,tIt is node l in t period load；Pwk,tFor wind power plant k t moment power output.Equation (3)
For system line trend constraint, Ts indicates that Line Flow transmits distribution coefficient matrix；FLlIndicate can bearing most for route l
Megatrend；Equation (4) indicates Hydropower Unit maximum, minimum load constraint；Ih,tFor Hydropower Unit h t moment operating status, 1
Indicate presence, 0 indicates off-line state；P h、Minimum, the maximum output allowed for unit h；Equation (5) indicates hydroelectric machine
The maximum of group, minimum water amount constraint；qh,tFor Hydropower Unit h t moment output power；q h、For Hydropower Unit h unit
Period minimum, maximum water amount；Equation (6) indicates Reservoir capacity-constrained；Vs, t are storage capacity of the reservoir s in t moment；V s、
For the upper and lower limit of permission storage capacity of reservoir s；Equation (7) indicates remaining storage capacity constraint after finishing scheduling； V s,T+1When to dispatch
Remaining storage capacity upper and lower limit after section；Equation (8) indicates Hydropower Unit starting water, wherein Qh,tFor unit h t moment reality
Border starts water consumption, QShFor the starting water consumption of unit h, the practical starting water consumption of this paper includes starting water consumption and abandoning water
Amount；Equation (9) indicates reservoir Constraints of Equilibrium, wherein nqjCarry out water naturally in t moment for reservoir j；Reservoir j is the straight of reservoir i
Lower reservoir is connect, reservoir i's discharges water by period Δ tiReach reservoir j；Equation (10) indicates that reservoir unit time period allows most
Big waterdrainage amount, QvsFor the maximum allowable waterdrainage amount of reservoir s unit time period；Equation (11) indicates Hydropower Unit power output and water consumption, water
Relationship between reservoir level；Equation (12) indicates fired power generating unit units limits；ui,tFor fired power generating unit i t moment operation shape
State, 1 indicates presence, and 0 indicates off-line state；P i,For the minimum of fired power generating unit i, maximum output limitation；Equation (13) table
Show fired power generating unit minimum start-off time constraints, Ti,on、Ti,offFor unit i continuous online, offline time, Ti,up、Ti,downFor
The continuous online, offline time of the minimum of unit i；Equation (14) indicates the constraint of fired power generating unit climbing capacity, wherein Upi(Dpi) it is hair
Maximum upper (lower) climbing capacity of the motor group i within a period；SUiGo out for first period maximum after generating set i starting
Power；SDiFor the previous period maximum output of generating set i shutdown；
Reserve Constraint condition based on most severe scene are as follows:
Wherein, subscript l (u) respectively correspond wind power output be estimated section under (on) limit scene；Equation (15)-(18) are
It is spare to cope with the probabilistic generating capacity of wind-powered electricity generation；Equation (19) is that the reply probabilistic climbing capacity of wind-powered electricity generation is spare；Equation
(20)-(21) are that the reply probabilistic route transmission capacity of wind-powered electricity generation is spare, as Ts > 0, TPmax(min)=Ts × Pwu(l)；When
When Ts < 0, TPmax(min)=Ts × Pwl(u)。
(see Fig. 2) after specific decomposition, it is contemplated that the objective function of the Optimization of Unit Commitment By Improved under scene without trend constraint is side
Journey (1), constraint condition are equation (2), (4)-(14)；It is expected that the corresponding constraint condition of Line Flow inspection subproblem is under scene
Equation (3)；It is equation (15)-that Unit Combination under most severe scene without trend constraint, which examines the corresponding constraint condition of subproblem,
(19)；It is equation (20)-(21) that Line Flow, which examines the corresponding constraint condition of subproblem, under most severe scene.It solves first estimated
It is offline to be substituted into estimated scene by the Optimization of Unit Commitment By Improved that trend constraint is free of under scene for unit operating point under the estimated scene of gained
Road trend examines subproblem.If it is expected that Line Flow examines subproblem that cannot meet under scene, then corresponding Benders is generated
It cuts and the Optimization of Unit Commitment By Improved under estimated scene without trend constraint is added as new constraint condition and recalculates；If met
It is expected that Line Flow examines whole constraint conditions of subproblem under scene, then the unit group of trend constraint will be free of under estimated scene
Unit Commitment sequence obtained by conjunction problem substitutes into the Unit Combination under most severe scene without trend constraint and examines subproblem.If opened
The Unit Combination that stopping sequence can not be able to satisfy under most severe scene without trend constraint by adjusting online unit operating point is examined
The constraint condition of subproblem is tested, then generates corresponding Benders and cuts and be added under estimated scene as new constraint condition without tide
It flows the Optimization of Unit Commitment By Improved of constraint and recalculates；If meeting the Unit Combination under most severe scene without trend constraint to examine
The Unit Combination that trend constraint is free of under most severe scene is then examined most severe feelings obtained by subproblem by the constraint condition of subproblem
Unit operating point under scape substitutes into Line Flow under most severe scene and examines subproblem.If it is offline not to be able to satisfy most severe scene
Road trend examines the constraint condition of subproblem, then generates corresponding Benders and cut as the new most severe feelings of constraint condition addition
The Optimization of Unit Commitment By Improved of trend constraint is free of under scape and is recalculated；If meeting Line Flow syndrome under most severe scene to ask
Whole constraint conditions of topic, then by the resulting Unit Commitment sequence of Optimization of Unit Commitment By Improved under estimated scene without trend constraint and
Unit operating point exports as a result.
The present invention using Fig. 3 system (fired power generating unit 3, G1, G2, G3；Cascade hydropower H1, H2；Wind power plant W1, W2) comparison
The method of the present invention and conventional method are when wind power output deviates predicted value the case where system.The present invention compared wet season and low water
Phase two typical seasons (only dispatch Hydropower Unit capacity without considering Reservoir using the method for the present invention and using conventional method
Hold scheduling), in different wind power outputs, the operating condition of system.Fig. 4 compared the Unit Combination knot in wet season distinct methods
It is out-of-limit whether fruit occurs reservoir capacity when wind power output changes, it can be seen that the method for the present invention considers that reservoir capacity is spare
The storage capacity safety of wet season step hydroelectric station reservoir is ensured.Fig. 5 compared the Unit Combination result in dry season distinct methods
Whether there is system energy notch in wind power output variation, it can be seen that the method for the present invention considers the spare guarantor of reservoir capacity
Dry season step hydroelectric station reservoir is hindered and has possessed sufficient storage capacity hydraulic resource generation, has guaranteed that system energy supply is sufficient.Fig. 6 pairs
It is out-of-limit whether to occur Line Flow when wind power output changes than the Unit Combination result system of distinct methods, wherein tradition is not
Consider that the spare out-of-limit system that jeopardizes of the apparent Line Flow of Unit Combination result appearance of line transmission capacity is safe, it is of the invention
Method guarantees that system load flow safety is not out-of-limit in various wind power outputs.
The foregoing is only a preferred embodiment of the present invention, but scope of protection of the present invention is not limited thereto,
Anyone skilled in the art within the technical scope of the present disclosure, according to the technique and scheme of the present invention and its
Inventive concept is subject to equivalent substitution or change, should be covered by the protection scope of the present invention.
Claims (3)
1. a kind of coordinated scheduling Unit Combination method of Efficient Solution water power thermoelectricity wind-powered electricity generation, which comprises the steps of:
S1: the following 24 hours workload demand data of system that power-management centre obtains, output of wind electric field prediction data are received；It connects
Receive step power station storage capacity data and the following day part natural water amount prediction data；Receive system line parameter and water, thermoelectricity
Unit parameter；Its specific data are as follows:
pi,tFor fired power generating unit i t moment power output；ph,tFor Hydropower Unit h t moment output power；pk,tFor energy storage
Power generation or energy storage power of the unit k in the t period；Pwk,tFor wind power plant k t moment power output；Vs, t are reservoir s in t
The storage capacity at moment；nqjCarry out water naturally in t moment for reservoir j；
S2: linearisation modeling is carried out to the Optimization of Unit Commitment By Improved of electric system, according to service requirement selection target function and constraint
Condition, including equality constraint and inequality constraints condition constitute Mixed integer linear programming；
S3: the Mixed integer linear programming of step 2 is decomposed, and is decomposed into the machine that trend constraint is free of under estimated scene
The Unit Combination of the constraint containing Line Flow is examined under subproblem, most severe scene without tide under group combination subproblem, estimated scene
The Unit Combination of stream constraint examines the Unit Combination of route trend constraint under subproblem and most severe scene to examine subproblem；
S4: solving the Unit Combination under estimated scene without trend constraint and examine subproblem, acquires start-stop of generator set machine sequence
With active power operating point, operating point indicates the size of generator active power；
S5: examining subproblem for the Unit Combination that step 4 gained unit operating point brings the constraint containing Line Flow under estimated scene into,
Examine trend whether out-of-limit；If trend constraint all meets, enters in next step, otherwise produced with the trend constraint being unable to satisfy
Raw Benders is cut and as constraint condition return step 4；
S6: the start-stop of generator set machine sequence of step 4 is brought under most severe scene without trend constraint Unit Combination syndrome
Problem solving acquires unit operating point under most severe scene and enters in next step, otherwise use nothing if meeting whole constraint conditions
The constraint that method meets generates Benders and cuts as constraint condition return step 4；
S7: unit operating point under most severe scene obtained by step 6 is brought to the inspection of the constraint containing Line Flow under most severe scene into
Whether subproblem examines trend out-of-limit；If trend constraint all meets, enter in next step, otherwise with the tide being unable to satisfy
Stream constraint generates Benders and cuts and as constraint condition return step 6；
S8: using step 4 gained Unit Combination result as generating set scheduling scheme.
2. the coordinated scheduling Unit Combination method of Efficient Solution water power thermoelectricity wind-powered electricity generation according to claim 1, feature exist
In in the step 1, using based on prediction probability density function, the wind power output section size of determining given confidence level.
3. the coordinated scheduling Unit Combination method of Efficient Solution water power thermoelectricity wind-powered electricity generation according to claim 1, feature exist
In 4 syndrome in the objective function of MIXED INTEGER linear equation and constraint condition and the step 3 in the step 2
The constraint condition of problem are as follows:
Objective function is the system power generation expense reduced under estimated scene (wind power output is predicted value Pwf):
Wherein, F is thermoelectricity power generation expense, and ST is thermoelectricity switching cost, and Ng is fired power generating unit number, and Nt is the Unit Combination period
Number；Because water power cost of electricity-generating is very low, its cost of electricity-generating is not considered；
It is expected that the constraint condition under scene are as follows:
Qh,t≥QSh(Ih,t-Ih,t-1), Qh,t≥0 (8)
ph,t=f (qh,t,Vj,t) (11)
Wherein, equation (2) is system power Constraints of Equilibrium, pi,tFor fired power generating unit i t moment power output；ph,tFor water power
Output power of the unit h in t moment；pk,tPower generation or energy storage power for energy storage unit k in the t period, positive value indicate power generation,
Negative value indicates energy storage；Pll,tIt is node l in t period load；Pwk,tFor wind power plant k t moment power output.Equation (3) is
System line trend constraint, Ts indicate that Line Flow transmits distribution coefficient matrix；FLlIndicate the maximum that can be born of route l
Trend；Equation (4) indicates Hydropower Unit maximum, minimum load constraint；Ih,tOperating status for Hydropower Unit h in t moment, 1 table
Show presence, 0 indicates off-line state；P h、Minimum, the maximum output allowed for unit h；Equation (5) indicates Hydropower Unit
Maximum, the constraint of minimum water amount；qh,tFor Hydropower Unit h t moment output power；q h、When for Hydropower Unit h unit
Section minimum, maximum water amount；Equation (6) indicates Reservoir capacity-constrained；Vs, t are storage capacity of the reservoir s in t moment；V s、For
The upper and lower limit of permission storage capacity of reservoir s；Equation (7) indicates remaining storage capacity constraint after finishing scheduling； V s,T+1For scheduling slot
After remaining storage capacity upper and lower limit；Equation (8) indicates Hydropower Unit starting water, wherein Qh,tFor unit h t moment reality
Start water consumption, QShFor the starting water consumption of unit h, the practical starting water consumption of this paper includes starting water consumption and abandoning water；
Equation (9) indicates reservoir Constraints of Equilibrium, wherein nqjCarry out water naturally in t moment for reservoir j；Reservoir j is the direct of reservoir i
Lower reservoir, reservoir i's discharges water by period Δ tiReach reservoir j；Equation (10) indicates the maximum that reservoir unit time period allows
Waterdrainage amount, QvsFor the maximum allowable waterdrainage amount of reservoir s unit time period；Equation (11) indicates Hydropower Unit power output and water consumption, reservoir
Relationship between water level；Equation (12) indicates fired power generating unit units limits；ui,tFor fired power generating unit i t moment operating status, 1
Indicate presence, 0 indicates off-line state；P i,For the minimum of fired power generating unit i, maximum output limitation；Equation (13) indicates fire
Motor group minimum start-off time constraints, Ti,on、Ti,offFor unit i continuous online, offline time, Ti,up、Ti,downFor unit
The continuous online, offline time of the minimum of i；Equation (14) indicates the constraint of fired power generating unit climbing capacity, wherein Upi(Dpi) it is generator
Maximum upper (lower) climbing capacity of the group i within a period；SUiFor first period maximum output after generating set i starting；SDi
For the previous period maximum output of generating set i shutdown；
Reserve Constraint condition based on most severe scene are as follows:
Wherein, subscript l (u) respectively correspond wind power output be estimated section under (on) limit scene；Equation (15)-(18) are reply
The probabilistic generating capacity of wind-powered electricity generation is spare；Equation (19) is that the reply probabilistic climbing capacity of wind-powered electricity generation is spare；Equation (20)-
(21) spare for the reply probabilistic route transmission capacity of wind-powered electricity generation, as Ts > 0, TPmax(min)=Ts × Pwu(l)；When Ts < 0
When, TPmax(min)=Ts × Pwl(u)；After specific decomposition, it is contemplated that the target letter of the Optimization of Unit Commitment By Improved under scene without trend constraint
Number is equation (1), and constraint condition is equation (2), (4)-(14)；It is expected that Line Flow examines the corresponding constraint of subproblem under scene
Condition is equation (3)；It is side that Unit Combination under most severe scene without trend constraint, which examines the corresponding constraint condition of subproblem,
Journey (15)-(19)；It is equation (20)-(21) that Line Flow, which examines the corresponding constraint condition of subproblem, under most severe scene.
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109995084A (en) * | 2019-04-24 | 2019-07-09 | 燕山大学 | A kind of step power station-thermal power plant's joint optimal operation method and system |
| CN110120685A (en) * | 2019-05-23 | 2019-08-13 | 国家电网公司西南分部 | Peak regulating method is coordinated in cascade hydropower group and honourable power station in high water power specific gravity system |
| CN110854931A (en) * | 2019-11-20 | 2020-02-28 | 广东电网有限责任公司 | Pumped storage unit day-ahead power generation planning method, system and equipment |
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| DE102014000917A1 (en) * | 2014-01-28 | 2015-07-30 | Rwe Deutschland Ag | REGULATION FOR ELECTRIC EQUIPMENT FOR THE ELECTRICAL SYSTEM AFTER POWER FAILURE |
| CN106130079A (en) * | 2016-07-08 | 2016-11-16 | 华北电力大学 | A kind of edema due to wind pathogen fire short-term joint optimal operation method |
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| DE102014000917A1 (en) * | 2014-01-28 | 2015-07-30 | Rwe Deutschland Ag | REGULATION FOR ELECTRIC EQUIPMENT FOR THE ELECTRICAL SYSTEM AFTER POWER FAILURE |
| CN106130079A (en) * | 2016-07-08 | 2016-11-16 | 华北电力大学 | A kind of edema due to wind pathogen fire short-term joint optimal operation method |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109995084A (en) * | 2019-04-24 | 2019-07-09 | 燕山大学 | A kind of step power station-thermal power plant's joint optimal operation method and system |
| CN109995084B (en) * | 2019-04-24 | 2020-11-06 | 燕山大学 | Cascade hydropower station-thermal power plant combined optimization scheduling method and system |
| CN110120685A (en) * | 2019-05-23 | 2019-08-13 | 国家电网公司西南分部 | Peak regulating method is coordinated in cascade hydropower group and honourable power station in high water power specific gravity system |
| CN110120685B (en) * | 2019-05-23 | 2023-04-07 | 国家电网公司西南分部 | Coordination peak regulation method for cascade hydroelectric group and wind-light power station in high hydroelectric proportion system |
| CN110854931A (en) * | 2019-11-20 | 2020-02-28 | 广东电网有限责任公司 | Pumped storage unit day-ahead power generation planning method, system and equipment |
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