CN110033204A - Consider that combined scheduling method is overhauled in the power generation of marine wind electric field fatigue distributing homogeneity - Google Patents
Consider that combined scheduling method is overhauled in the power generation of marine wind electric field fatigue distributing homogeneity Download PDFInfo
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Abstract
The present invention relates to a kind of power generations for considering marine wind electric field fatigue distributing homogeneity to overhaul combined scheduling method, comprising the following steps: 1) by wake effect incidence matrix and Wind turbines inspecting state, establishes new wake model；2) power generation for considering marine wind electric field fatigue distributing homogeneity and maintenance combined dispatching mathematical model are established；3) each non-linear partial in combined dispatching mathematical model will be generated electricity and overhauled using mixed integer linear programming method and MIXED INTEGER Second-order cone programming method to be converted into linearly, and pass through method of relaxation and form mixed integer linear programming model；4) multiple objective function is handled with leash law, is single goal model by model conversation, and solved to single goal model, the combined dispatching of marine wind electric field unit is carried out after the final power generation for obtaining optimal economic benefit and maintenance scheduling scheme.Compared with prior art, the present invention have many advantages, such as to solve efficiently, selectivity is more, meter and any wind direction wake flow, applied widely.
Description
Technical field
The present invention relates to marine wind electric fields to overhaul scheduling field, is distributed more particularly, to a kind of consideration marine wind electric field fatigue
Combined scheduling method is overhauled in the power generation of uniformity.
Background technique
The main purpose of offshore wind farm power generation and maintenance combined dispatching is to arrange maintenance appropriate within maintenance dispatching cycle
Strategy goes to sea the cost of overhaul and guarantees that wind power plant generated energy is larger to reduce, to bring significant economic effect for wind power plant
Benefit.However due to the influence of marine adverse circumstances, Wind turbines need to consider weather, tide, personnel when executing upkeep operation
The factors such as arrangement, and in its operational process, marine wind direction constantly changes, and the wake effect between unit changes, unit
Active power output is affected, this makes the modeling of this problem and solution become complicated.Have to simplify wake effect to wind power plant
The influence of function power output, some documents calculate the wake effect under single wind direction or several wind directions of fixation only to show that wind power plant is whole
The active power output of body.This is excessively simple for the case where marine wind direction arbitrarily changes in practice and cannot relatively accurately express inspection
Repair the generated energy of wind power plant entirety in the period.
In order to enable there is better economic benefit, some scholars and expert to propose in conjunction with economy for the operation of offshore wind farm
The Strategies of Maintenance of offshore wind farm is discussed the method for improving marine wind electric field active power output.However these models
The economy to consider offshore wind farm operation is combined with generation schedule not by maintenance plan.And since Wind turbines generate electricity
Fatigue can be generated in the process, and fatigue is excessive to will affect unit operational reliability, and the fatigue point of wind power plant is considered in Strategies of Maintenance
Cloth will provide more decision supports for policymaker.
In addition, being in stoppage in transit state when unit maintenance, wind energy is not absorbed, leeward is become to blower by wake effect
It is small, and consider the arbitrariness of wind direction, when calculating active power output, the relative position dynamic change of Wind turbines is modeled
Not only included continuous variable in type, but also had discrete variable, modeling difficulty increases, and model solution is more difficult.Some scholars use intelligence
Energy algorithm solves such non-linear challenge of multiple constraint, but it easily makes solution fall into Local Extremum.And mixed integer programming approach
There is abundant theory support when handling problems, and there is greater advantage in processing the problem of containing discrete variable, close
Key is the processing to nonlinear model.
Therefore, be badly in need of it is a kind of consider marine wind electric field fatigue distributing homogeneity power generation and maintenance combined scheduling method, energy
It is enough that reasonable arrangement, Lai Weifeng are carried out to the power generation of offshore wind farm and maintenance plan under the tired distributing homogeneity for considering wind power plant
Electric field obtains more preferably economic benefit and provides more decision supports for policymaker.
Summary of the invention
It is an object of the present invention to overcome the above-mentioned drawbacks of the prior art and provide a kind of consideration offshore wind farms
Combined scheduling method is overhauled in the power generation of the tired distributing homogeneity in field.
The purpose of the present invention can be achieved through the following technical solutions:
A kind of power generation maintenance combined scheduling method considering marine wind electric field fatigue distributing homogeneity, comprising the following steps:
1) by wake effect incidence matrix and Wind turbines inspecting state, new wake model is established；
2) power generation for considering marine wind electric field fatigue distributing homogeneity and maintenance combined dispatching mathematical model are established；
3) use mixed integer linear programming method and MIXED INTEGER Second-order cone programming method by non-linear partial each in model
It is converted into linearly, and passes through method of relaxation and form mixed integer linear programming model；
4) multiple objective function is handled with leash law, is single goal model by model conversation, and to single goal mould
Type is solved, and the joint of marine wind electric field unit is carried out after the final power generation for obtaining optimal economic benefit and maintenance scheduling scheme
Scheduling.
The step 1) specifically includes the following steps:
11) Wind turbines input wind speed is decomposed into horizontal and vertical both direction, then had:
Wherein, j is wind turbine group index variable in wind power plant, and t is period index variables, vj,tFor jth platform Wind turbines
WTjIn period TtInput wind speed, vhj,t、vvj,tRespectively indicate jth platform Wind turbines WTjIn period TtHorizontal direction and perpendicular
Histogram to input wind speed；
12) wake effect incidence matrix is constructed, and combines Wind turbines inspecting state in wake model, obtains level side
To the input wind speed with vertical direction, then have:
Wherein, i is wind turbine group index variable in wind power plant, vtFor period TtMarine wind speed, αtFor period TtWind
To U1j,t, U3j,tRespectively period TtUnder whether be boundary unit incidence matrix, when jth platform Wind turbines are under certain period
When for boundary unit, otherwise it is 0, U2 that corresponding element, which is 1, in matrixj,i,tFor period TtLower i-th Wind turbines are to jth typhoon
Motor group has the incidence matrix of wake effect in the horizontal direction, when i-th Wind turbines has level to jth platform Wind turbines
When the wake effect in direction, otherwise it is 0, wherein i-th Wind turbines and jth platform Wind turbines that element value, which is 1, in matrix
It is always adjacent unit, U4j,i,tFor period TtUnder vertical direction have wake effect incidence matrix, kiFor by unit spacing
The constant determined with impeller diameter,For i-th Wind turbines WTiIn period TtThrust coefficient, related with wind speed, value can
It is obtained by thrust coefficient matched curve, xi,tFor i-th Wind turbines WTiIn period TtInspecting state variable, 1 indicate in inspection
It repairs, 0 indicates to operate normally.
In the step 2), the power generation and maintenance combined dispatching mathematical modulo of marine wind electric field fatigue distributing homogeneity are considered
The objective function of type in entire schedule time horizon to minimize cost of overhaul f1, maximize generated energy f2And make sea
Wind power plant fatigue is distributed f3Most uniformly, then have:
Wherein, m be wind power plant in the total number of units of Wind turbines, n be dispatching cycle it is total when number of segment,For material installation cost,For environmental monitoring cost,For basic facility cost,For transportation cost,For human cost,To shut down damage
Lose cost, LPiTo overhaul WTiDuration segment number；
Wherein, Pi,tFor i-th Wind turbines WTiIn period TtInterior output power, ttFor period TtDuration；
Wherein, f3For period TnThe endurance ratio standard deviation of each unit of wind power plant, FiIt (n) is i-th Wind turbines WTi?
Period TnEndurance ratio,For period TnThe average value of each unit endurance ratio of wind power plant, Fi(t0) it is the i-th typhoon electricity
The endurance ratio value that unit itself is accumulated before starting dispatching cycle, γ are the turbulent fatigue damage and power generation fatigue damage of unit
The ratio of wound, Wi,tFor i-th Wind turbines WTiIn period TtGenerated energy, Pi rateFor the specified active power output of Wind turbines,For i-th Wind turbines WTiService life,For i-th Wind turbines WTiMaintenance penalty coefficient.
In the step 2), the power generation and maintenance combined dispatching mathematical modulo of marine wind electric field fatigue distributing homogeneity are considered
The constraint condition of type includes:
The constraint of Wind turbines active power output:
Wherein,For i-th Wind turbines WTiIn period TtThe minimum value of output power,For i-th Wind turbines
WTiIn period TtThe predicted value of output power；
Overhaul necessity constraint:
Wherein, bi,tIndicate i-th Wind turbines WT of instructioniWhether in TtThe decision variable of inspecting state is initially entered, 1 is
Into 0 is not enter；
Overhaul duration constraint:
xi,t≥bi,t
xi,t-xi,t-1≤bi,t
xi,t+xi,t-1+bi,t≤2
Wherein, as t=1, xi,t-1=0；
Overhaul duration constraints:
Deadline constraint:
Wherein, LiFor i-th Wind turbines WTiNeed to complete the most end period serial number of upkeep operation；
Weather constraint:
Wherein, U is the period set for not allowing to carry out wind-powered electricity generation machine overhauling due to marine weather；
Manpower constraint:
Wherein,WithRespectively overhaul i-th Wind turbines WTiOn O&M ship, helicopter and land mouthful
Manpower demand amount on the bank, AMtIt indicates in period TtAvailable manpower quantity；
Delivery vehicle constraint:
Wherein, ViAnd HiRespectively overhaul i-th Wind turbines WTiRequired O&M ship and helicopter quantity, AVtAnd AHt
It is illustrated respectively in period TtAvailable O&M ship and helicopter quantity；
Greenhouse gas emission constraint:
Wherein, DiIndicate port anchor point to i-th Wind turbines WTiDistance, qVAnd qHRespectively O&M ship and go straight up to
Kilogram number for the greenhouse gases that the every km of airborne heavy every kilogram of traveling is discharged,For the average weight of employee,With
Respectively safeguard i-th Wind turbines WTiThe weight of equipment delivered by O&M ship and helicopter, GHG are the greenhouse that industry is formulated
Gas discharge standard；
Marine environment constraint:
Wherein, LVtFor period TtAir space above sea allows movable O&M ship quantity；
Flock of birds constraint:
Wherein, LHtFor period TtAir space above sea allows movable O&M helicopter quantity；
Night maintenance constraint:
Wherein, Y is the period at daily night, and AL indicates that night allows to go to sea the limitation of maintenance.
The step 4) specifically includes the following steps:
41) cost of overhaul objective function f is solved respectively1It minimizes, generated energy objective function f2It maximizes and wind power plant is tired
Labor distributing homogeneity f3The single goal model of minimum obtains the target function value and decision variable under different target, is formed
The decision attribute table of objective function；
42) value range that binding occurrence is determined by each single-goal function value in decision attribute table is substituted into corresponding
Objective function carry out restrict, so that objective function is converted into corresponding constraint condition, to form single goal model；
43) single goal model is solved, the final power generation for obtaining optimal economic benefit and maintenance scheduling scheme are laggard
The combined dispatching of row marine wind electric field unit.
Compared with prior art, the invention has the following advantages that
One, solve efficient: mixed integer linear programming method has sufficiently theoretical branch as a kind of traditional derivation algorithm
Support, and calculation amount is small, and speed is fast.
Two, selectivity is more: present invention power generation obtained and maintenance combined dispatching scheme are considering marine wind electric field fatigue
There to be more more options under distributing homogeneity, pursuing the corresponding economic benefit of more uniform fatigue distribution can be lower, this is decision
Person provides selectivity.
Three, meter and any wind direction wake flow: the wake effect between Wind turbines has larger impact to unit output power, examines
The wake flow for considering any wind direction more can accurately give expression to the output power of sea turn motor group under actual condition, can more be closed
The power generation and maintenance combined dispatching scheme of reason.
Four, applied widely: wake model and the constraint condition marine wind electric field biggish for unit spacing built are equal
It is applicable, and constraint condition is equally applicable land wind power plant.
Detailed description of the invention
Fig. 1 is that offshore wind farm generates electricity and overhaul combined dispatching Scheme Solving flow chart.
Fig. 2 is offshore wind farm unit layout.
Fig. 3 is Wind turbines output power and wind speed relational graph.
Fig. 4 is wind speed profile figure in dispatching cycle.
Fig. 5 is wind direction distribution histogram in dispatching cycle.
Fig. 6 is Wind turbines active power output figure under each scene.
Fig. 7 is power generation and maintenance overall economic efficiency figure under different fatigue distributing homogeneity.
Specific embodiment
The present invention is described in detail with specific embodiment below in conjunction with the accompanying drawings.
Embodiment
As shown in Figure 1, the invention proposes a kind of power generations for considering marine wind electric field fatigue distributing homogeneity and maintenance connection
Dispatching method is closed, the present invention passes through building wake effect incidence matrix first and combines Wind turbines inspecting state, establishes any
The wake model of wind direction, specific modeling procedure are as follows:
Step 1: the input wind speed of any wind direction of Wind turbines being decomposed into horizontal and vertical both direction, then wind at this time
Fast calculating formula are as follows:
Step 2: building wake effect incidence matrix, and Wind turbines inspecting state is combined in wake model, obtain water
Square to the input wind speed with vertical direction:
Step 3: wind power plant layout is as shown in Fig. 2, the wind speed of each unit can express, first part on the right side of formula (2) equal sign
For the wind speed of the non-intermediate unit horizontal direction in boundary in wind power plant, second part is the wind of unit horizontal direction among non-boundary
Speed, the sum of this two part are the wind speed of unit horizontal direction among boundary in wind power plant, and formula (3) is then to vertical direction wind speed
Description.
Secondly, the mathematical model of the power generation of building offshore wind farm and maintenance combined dispatching, the model is in schedule time horizon
Cost of overhaul f1Minimum, generated energy f2Maximum and wind power plant fatigue is distributed f3It is uniformly most target, while meets power generation and maintenance
Multinomial constraint condition.
Then, for it is established the considerations of marine wind electric field fatigue distributing homogeneity power generation and maintenance integrated distribution model
Linearization process is carried out, to become mixed integer linear programming model for solving.
Above-mentioned linearization process is mainly for Wind turbines output power, wind power plant fatigue distributing homogeneity and wake flow
These aspect expansion of the linearisation of model, detailed process is as follows:
Step 4: for the relationship of Wind turbines output power and wind speed, as shown in figure 3, utilizing mixed integer linear programming
Method linearly changes Wind turbines output power:
P=δ3Prate+IF2z2 (23)
S.t.v=δ2vin+δ3vr+z1+z2+z3 (24)
0≤z1≤vinδ1 (25)
0≤z2≤(vr-vin)δ2 (26)
0≤z3≤(vout-vr)δ3 (27)
δ1+δ2+δ3=1 (28)
δ1,δ2,δ3={ 0,1 } (29)
Step 5: wind power plant Wind turbines fatigue distributing homogeneity being linearized, standard deviation is first replaced using ABS function
Reflect tired distributing homogeneity, then function f3Become:
Step 6: above-mentioned absolute value being subjected to linearization process, then can obtain
0≤a1i≤Md1i (34)
0≤a2i≤Md2i (35)
d1i+d2i=1 (36)
Step 7: wind power plant fatigue distributing homogeneity f3It can be described as
Step 8: wake model being linearized, is first obtained by thrust coefficient matched curveWith the relationship of wind speed, for simplification
It calculates, enables
Step 9: above-mentioned formula is substituted into formula (2), then formula (2) right side of the equal sign second part turns to:
U2j,i,tvhi,t(1-ki(kwvhi,t+bw)(1-xi,t)) (39)
The non-linear partial that will be obtained after the expansion of this formula are as follows:
vhi,t(1-xi,t) (40)
Step 10: to above-mentioned formula (40) linearization process,
vh1i,t=vhi,t(1-xi,t) (42)
s.t. 0≤vh1i,t≤vhi,t (43)
(1-xi,t)M+vhi,t-M≤vh1i,t≤(1-xi,t)M (44)
Step 11: using MIXED INTEGER Second-order cone programming method to the quadratic term linearization process in formula (41), and with relax
Method forms mixed integer linear programming model to second order cone approximate description, enables
So,
Step 12: after quadratic term linearisation, linearizing formula (41) referring to the processing of formula (40).Meanwhile to formula (1) and formula
(3) linearisation uses the same method with formula (2) to be handled.
Then, multiple objective function is handled with leash law, single goal model will be modeled as.It can will be most heavy
The objective function of want or designer most preference retains, as the objective function of single-objective problem, and by other objective functions
By adding a restriction of domain εiIt is transformed into constraint condition.It can efficiently obtain Pareto disaggregation, in the benefit for guaranteeing r-th of target
When, and other targets can be advantageously taken into account, also more welcome in the solution of actual design problem, detailed process is as follows:
Step 13: solving the above f respectively1, f2, f3Each single goal model, obtain target function value under different target and
Decision variable forms the decision attribute table of objective function, it is seen that table 1, wherein band * indicates to carry out mould by target of the objective function
Type solves.
1 decision attribute table of table
| Objective function | f1 | f2 | f3 |
| f1 * | f1 min | f2(x1 *) | f3(x1 *) |
| f2 * | f1(x2 *) | f2 max | f3(x2 *) |
| f3 * | f1(x3 *) | f2(x3 *) | f3 min |
Step 14: determining ε by data in tableiThe value range of (i=1,2,3), is substituted into corresponding objective function
Restrict is carried out to be solved so that objective function is converted into corresponding constraint condition to form single goal model.
Step 15: finally resulting mixed integer linear programming model is solved, with obtain offshore wind farm power generation and
Overhaul combined dispatching scheme.
This method passes through wake effect incidence matrix first and models to the wake effect under any wind direction, then constructs
The offshore wind farm power generation and maintenance combined dispatching mathematical model for considering tired distributing homogeneity, with mixed integer linear programming method
And MIXED INTEGER Second-order cone programming method handles non-linear partial in model, and by method of relaxation ultimately form mixing it is whole
Number linear programming model, improves solution efficiency, while using leash law that multiple objective function is converted to single goal efficiently to obtain
Obtain Pareto disaggregation.Method proposed by the present invention considers the variation of inland sea dispatching cycle upwind, and will when calculating wake flow
Inspecting state takes into account, and by introducing marine wind electric field fatigue distributing homogeneity, can provide for policymaker more for choosing
The power generation and maintenance combined dispatching scheme selected show that the present invention is mentioned to the power generation maintenance combined dispatching of certain marine wind electric field unit
The feasibility and validity of method.
Concrete application scene 1: Simulation Example is carried out to the marine wind electric field being laid out as shown in Figure 2, shares 10 row, 3 column 30
Wind turbines carry out power generation maintenance combined dispatching to marine wind electric field in defined period (one week totally 168 periods), this one
Wind speed profile in week is as shown in figure 4, wind direction such as Fig. 5 probability distribution.Choose wind speed on the 4th and based on following 4 scene analysis wind
To variation between unit wake effect generate influence, scene 1: wind direction be 0 °.Scene 2: wind direction is 90 °.Scene 3: wind direction
It is 30 °.Scene 4: wind direction changes between 0 ° to 360 °, by Fig. 5 probability distribution, as shown in table 2.Utilize tail proposed by the present invention
Flow model solves the active power output of each unit under above-mentioned scene, as a result as shown in Figure 6.Each wind of scene 4 can be obtained from figure
The active power output of motor group is more uniform, and its actual operating mode for more meeting offshore wind farm unit compared to scene 2, the present invention
The model and method proposed can adapt to the case where marine wind speed wind vector in practice, and use different wind speed and directions
The active power output of wind power plant under actual conditions can be depicted, more objectively more accurately to describe marine wind electric field within this period
Generated energy.
Wind vector table under 2 different periods of table
| Period | Wind direction/° | Period | Wind direction/° | Period | Wind direction/° |
| 1 | 90 | 9 | 350 | 17 | 150 |
| 2 | 80 | 10 | 330 | 18 | 130 |
| 3 | 60 | 11 | 300 | 19 | 120 |
| 4 | 45 | 12 | 280 | 20 | 100 |
| 5 | 35 | 13 | 250 | 21 | 110 |
| 6 | 25 | 14 | 210 | 22 | 90 |
| 7 | 10 | 15 | 180 | 23 | 80 |
| 8 | 0 | 16 | 160 | 24 | 85 |
Concrete application scene 2: power generation maintenance is carried out to 10 units in marine wind electric field using institute's climbing form type of the present invention and is adjusted
Degree, the power generation maintenance overall economic efficiency in the case where considering marine wind electric field fatigue distributing homogeneity is different, in conjunction with leash law
The distribution of obtained Pareto solution as shown in fig. 7, the point of optimal economic benefit marks in figure under each fatigue distributing homogeneity,
Each point can correspond to a kind of power generation maintenance solution.The scheme taken in obvious dispatching cycle is distributed marine wind electric field fatigue
When uniformity is more excellent, overall economic efficiency can be lower.Good marine wind electric field fatigue distributing homogeneity is pursued, wind-powered electricity generation can be made
Field generated energy is restricted, and needs that more costs of overhaul is spent just to be able to achieve corresponding strategy, this will exist for policymaker
More selectivity and better decision support are provided when formulating scheduling scheme.
Claims (5)
1. combined scheduling method is overhauled in a kind of power generation for considering marine wind electric field fatigue distributing homogeneity, which is characterized in that including
Following steps:
1) by wake effect incidence matrix and Wind turbines inspecting state, new wake model is established；
2) power generation for considering marine wind electric field fatigue distributing homogeneity and maintenance combined dispatching mathematical model are established；
3) combined dispatching mathematics will be generated electricity and overhauled using mixed integer linear programming method and MIXED INTEGER Second-order cone programming method
Each non-linear partial is converted into linearly in model, and forms mixed integer linear programming model by method of relaxation；
4) multiple objective function is handled with leash law, by model conversation be single goal model, and to single goal model into
Row solves, and the joint tune of marine wind electric field unit is carried out after the final power generation for obtaining optimal economic benefit and maintenance scheduling scheme
Degree.
2. combined dispatching side is overhauled in a kind of power generation for considering marine wind electric field fatigue distributing homogeneity according to claim 1
Method, which is characterized in that the step 1) specifically includes the following steps:
11) Wind turbines input wind speed is decomposed into horizontal and vertical both direction, then had:
Wherein, j is wind turbine group index variable in wind power plant, and t is period index variables, vj,tFor jth platform Wind turbines WTjWhen
Section TtInput wind speed, vhj,t、vvj,tRespectively indicate jth platform Wind turbines WTjIn period TtHorizontal direction and vertical direction
Input wind speed；
12) construct wake effect incidence matrix, and in wake model combine Wind turbines inspecting state, obtain horizontal direction and
The input wind speed of vertical direction, then have:
Wherein, i is wind turbine group index variable in wind power plant, vtFor period TtMarine wind speed, αtFor period TtWind direction,
U1j,t, U3j,tRespectively period TtUnder whether be boundary unit incidence matrix, when jth platform Wind turbines under certain period be side
When boundary's unit, otherwise it is 0, U2 that corresponding element, which is 1, in matrixj,i,tFor period TtLower i-th Wind turbines are to jth typhoon motor
Group is in the horizontal direction with the incidence matrix of wake effect, when there are horizontal directions to jth platform Wind turbines for i-th Wind turbines
Wake effect when, otherwise it is 0, wherein i-th Wind turbines and jth platform Wind turbines are always that element value, which is 1, in matrix
For adjacent unit, U4j,i,tFor period TtUnder vertical direction have wake effect incidence matrix, kiFor by unit spacing and leaf
The constant that wheel diameter determines,For i-th Wind turbines WTiIn period TtThrust coefficient, xi,tFor i-th Wind turbines WTi
In period TtInspecting state variable, 1 indicate in maintenance, 0 indicate operate normally.
3. combined dispatching side is overhauled in a kind of power generation for considering marine wind electric field fatigue distributing homogeneity according to claim 2
Method, which is characterized in that in the step 2), consider power generation and the maintenance combined dispatching of marine wind electric field fatigue distributing homogeneity
The objective function of mathematical model in entire schedule time horizon to minimize cost of overhaul f1, maximize generated energy f2And make
It obtains marine wind electric field fatigue and is distributed f3Most uniformly, then have:
Wherein, m be wind power plant in the total number of units of Wind turbines, n be dispatching cycle it is total when number of segment,For material installation cost,
For environmental monitoring cost,For basic facility cost,For transportation cost,For human cost,For shutdown loss at
This, LPiTo overhaul WTiDuration segment number；
Wherein, Pi,tFor i-th Wind turbines WTiIn period TtInterior output power, ttFor period TtDuration；
Wherein, f3For period TnThe endurance ratio standard deviation of each unit of wind power plant, FiIt (n) is i-th Wind turbines WTiIn period Tn
Endurance ratio,For period TnThe average value of each unit endurance ratio of wind power plant, Fi(t0) it is i-th Wind turbines
The endurance ratio value itself accumulated before starting dispatching cycle, γ are the turbulent fatigue damage and power generation fatigue damage of unit
Ratio, Wi,tFor i-th Wind turbines WTiIn period TtGenerated energy, Pi rateFor the specified active power output of Wind turbines, Ti serFor
I-th Wind turbines WTiService life,For i-th Wind turbines WTiMaintenance penalty coefficient.
4. combined dispatching side is overhauled in a kind of power generation for considering marine wind electric field fatigue distributing homogeneity according to claim 3
Method, which is characterized in that in the step 2), consider power generation and the maintenance combined dispatching of marine wind electric field fatigue distributing homogeneity
The constraint condition of mathematical model includes:
The constraint of Wind turbines active power output:
Wherein,For i-th Wind turbines WTiIn period TtThe minimum value of output power,For i-th Wind turbines WTi?
Period TtThe predicted value of output power；
Overhaul necessity constraint:
Wherein, bi,tIndicate i-th Wind turbines WT of instructioniWhether in TtInitially enter the decision variable of inspecting state, 1 for into
Enter, 0 is not enter；
Overhaul duration constraint:
xi,t≥bi,t
xi,t-xi,t-1≤bi,t
xi,t+xi,t-1+bi,t≤2
Wherein, as t=1, xi,t-1=0；
Overhaul duration constraints:
Deadline constraint:
Wherein, LiFor i-th Wind turbines WTiNeed to complete the most end period serial number of upkeep operation；
Weather constraint:
Wherein, U is the period set for not allowing to carry out wind-powered electricity generation machine overhauling due to marine weather；
Manpower constraint:
Wherein,WithRespectively overhaul i-th Wind turbines WTiOn O&M ship, helicopter and land port
Manpower demand amount, AMtIt indicates in period TtAvailable manpower quantity；
Delivery vehicle constraint:
Wherein, ViAnd HiRespectively overhaul i-th Wind turbines WTiRequired O&M ship and helicopter quantity, AVtAnd AHtRespectively
It indicates in period TtAvailable O&M ship and helicopter quantity；
Greenhouse gas emission constraint:
Wherein, DiIndicate port anchor point to i-th Wind turbines WTiDistance, qVAnd qHRespectively O&M ship and Review for Helicopter
Kilogram number for the greenhouse gases that every kilogram of every km of traveling of weight is discharged,For the average weight of employee,WithRespectively
To safeguard i-th Wind turbines WTiThe weight of equipment delivered by O&M ship and helicopter, GHG are the greenhouse gases that industry is formulated
Discharge standard；
Marine environment constraint:
Wherein, LVtFor period TtAir space above sea allows movable O&M ship quantity；
Flock of birds constraint:
Wherein, LHtFor period TtAir space above sea allows movable O&M helicopter quantity；
Night maintenance constraint:
Wherein, Y is the period at daily night, and AL indicates that night allows to go to sea the limitation of maintenance.
5. combined dispatching side is overhauled in a kind of power generation for considering marine wind electric field fatigue distributing homogeneity according to claim 4
Method, which is characterized in that the step 4) specifically includes the following steps:
41) cost of overhaul objective function f is solved respectively1It minimizes, generated energy objective function f2It maximizes and wind power plant fatigue is divided
Cloth uniformity f3The single goal model of minimum obtains the target function value and decision variable under different target, forms target
The decision attribute table of function；
42) value range that binding occurrence is determined by each single-goal function value in decision attribute table, is substituted into corresponding mesh
Scalar functions carry out restrict, so that objective function is converted into corresponding constraint condition, to form single goal model；
43) single goal model is solved, carries out sea after the final power generation for obtaining optimal economic benefit and maintenance scheduling scheme
The combined dispatching of upper wind power plant unit.
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