CN110120682A - A kind of minimum tower elevator supply Optimization Scheduling for losing abandonment amount - Google Patents
A kind of minimum tower elevator supply Optimization Scheduling for losing abandonment amount Download PDFInfo
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- 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
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- G06Q10/063—Operations research, analysis or management
- G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
- G06Q10/06312—Adjustment or analysis of established resource schedule, e.g. resource or task levelling, or dynamic rescheduling
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
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- H—ELECTRICITY
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- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
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- 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
Abstract
The invention discloses a kind of minimum tower elevator supply Optimization Schedulings for losing abandonment amount, it include: building tower elevator supply model, construct tower elevator day power consumption model, it constructs based on the minimum tower elevator supply Optimal Operation Model for losing abandonment amount, it introduces particle algorithm and improves particle algorithm, by improved particle algorithm and the practical optimization for being combined and being completed to tower elevator supply dispatching method, the present invention has that abandonment is seriously huge with Wind turbines maintenance for current wind power plant, it is optimal for target with economy, it proposes under the powering mode of " abandonment amount+energy storage compensation electricity=elevator consumes electricity ", it constructs based on the minimum tower elevator supply Optimal Operation Model for losing abandonment amount, using improvement particle swarm algorithm, by the Example Verification model to the feasibility and validity of tower elevator supply Optimized Operation, Tower elevator supply Optimal Scheduling is efficiently solved, opens up a new route for wind electricity digestion.
Description
Technical field
The present invention relates to tower elevator energy storage field more particularly to a kind of minimum tower elevator supply optimizations for losing abandonment amount
Dispatching method.
Background technique
As earth fossil energy is petered out, the utilization of domestic and international common concern renewable energy, wind-powered electricity generation is as a kind of
Its installation amount scale of renewable energy constantly expands.Xinjiang wind energy resources are abundant, Xinjiang wind power plant foundation wind-resources regional advantages,
Its wind energy turbine set installed capacity is gradually increased, and the ratio in electric power rack constantly increases, it is contemplated that will form five hundred to the year two thousand twenty
Ten thousand multikilowatt wind power bases, total installed capacity scale reach ten million kilowatt.Therefore, to the science operation of Large Scale Wind Farm Integration, reduction energy consumption
Cost is increasingly by the concern of height.
Large Scale Wind Farm Integration operation and maintenance is primarily present two problems at present: one is that abandonment is serious, the other is wind-powered electricity generation
Field Wind turbines repair and maintenance workload is huge.Therefore, for above-mentioned two outstanding problem, if in all Wind turbines of wind power plant
Elevator is installed in tower, by abandonment electricity directly to Wind turbines tower elevator supply, while energy storage device is installed additional, in abandonment amount
Storing electricity when big, it is small or without the abandonment stage in abandonment amount, tower elevator supply is given by energy storage device, both solves maintenance repair
Maintenance uses elevator problem, and makes full use of abandonment amount.And consider that the minimum tower elevator supply Optimized Operation for losing abandonment amount is
A current problem.The economy that tower elevator dispatching how is improved under the premise of not changing existing hardware, reduces tower
The cost of overhauling elevator maintenance is always the Main way of tower elevator supply Optimized Operation.
Summary of the invention
The present invention proposes under the powering mode of " abandonment amount+energy storage compensation electricity=elevator consumes electricity ", with economy
Optimal is target, constructs based on the minimum tower elevator supply Optimal Operation Model for losing abandonment amount, passes through the Example Verification model
To the feasibility and validity of tower elevator supply Optimized Operation, abandonment digestion capability can be effectively improved, improves tower elevator
The economy of scheduling effectively reduces the cost of tower overhauling elevator maintenance.
In order to achieve the above object, the present invention provides a kind of minimum tower elevator supply Optimized Operation side for losing abandonment amount
Method solves in the prior art by the Example Verification model to the feasibility and validity of tower elevator supply Optimized Operation
There are the problem of.
The technical scheme adopted by the invention is that a kind of minimum tower elevator supply Optimization Scheduling for losing abandonment amount,
Include the following steps:
(1) tower elevator supply pattern model is constructed；
(2) tower elevator day power consumption model is constructed；
(3) it constructs based on the minimum tower elevator supply Optimal Operation Model for losing abandonment amount；
(4) it introduces particle algorithm and improves particle algorithm；In particle algorithm, since particle has certain inertia speed
Degree, and always follow best particle position；When parameter selection is improper, algorithm rate is lower and particle can only search for certain area
Domain cannot search for entire solution space, be unable to reach global optimum；Thus, to solve the above problems, particle algorithm is improved,
Speed is newly defined as to the exchange of element in particle；Therefore the rule that constant is multiplied with speed is redefined: one, 0 in speed
Element is constant；Two, randomly choose speed in several elements 1 and -1 it is constant, remaining 1 with -1 element become 0 entirely, it is ensured that
In improved particle algorithm, particle can be in extensive search feasible solution, and effectively improves convergence speed of the algorithm；
(5) by improved particle algorithm and the practical optimization for being combined and being completed to tower elevator supply dispatching method.
It is optimal for target with economy under the powering mode of " abandonment amount+energy storage compensation electricity=elevator consumes electricity ",
Study based on the minimum tower elevator supply Optimized Operation for losing abandonment amount, it is necessary to clear abandonment electricity, energy storage compensation electricity with
Elevator consumes the relationship between electricity three, as shown in Figure 1, for convenient for calculating verifying, it is unified using improvement stage energy consumption as tower
Cylinder operation energy consumption of elevator, and entire wind power plant tower elevator operation total energy consumption is calculated with this, thus；
Preferably, step (1) constructs tower elevator supply pattern model are as follows:
Abandonment amount+energy storage compensation electricity=elevator consumes electricity
Due to there is uncertain weighted factor, and the primary demand of these weighted factors and repair and maintenance staff, with
Machine uncertainty feature, Wind turbines catastrophic failure number and severity are related, therefore can be determined according to expert survey
The value of weighted factor is had following several using number at the top of expert survey assessment Wind turbines maintenance duration and upper and lower Wind turbines
A feature: time for eating meals is met in staff's maintenance process and remains unfulfilled maintenance task, needs to continue to overhaul after first uniformly having dinner；Wind
The general inspection duration of motor group is within 3h, and generally without time for eating meals；Major break down overhauls duration depending on situation at that time,
Consider service personnel's physiological reason, therefore 3-6h maintenance duration is unified within 3h on rise times and increases by 2 times, 3-6h increases by 4
Secondary, 6-9h increases by 6 9h, 8 numbers added above；Comprehensively consider a variety of causes and expertise description, setting maintenance duration with it is upper
Number relationship is risen, thus；
Preferably, step (2) constructs tower elevator day power consumption model are as follows:
Tower elevator day power consumption model:
Wsum=Wplan+(α1+α2+α3)W
In formula, Wsum--- the real-time day power consumption total amount of tower elevator；Wplan--- by the tower elevator consumption of maintenance plan；
α1,α2,α3--- weighted factor and be integer, determined by maintenance personal's primary demand, Wind turbines failure and fault degree；
W --- elevator once runs power consumption；Wherein
In formula, W --- elevator once runs power consumption；Kf--- for coefficient of energy dissipation inside elevator auxiliary device；Q --- electricity
Terraced load capacity；SWP --- elevator self weight；G --- acceleration of gravity, H --- tower height；ηd--- motor efficiency；η——
Elevator efficiency；
The real-time power consumption and Wind turbines tower elevator number of run of tower elevator are in time with direct relationship.In wind
When electric field Wind turbines repair and maintenance, according to the primary demand of wind power plant Wind turbines repair and maintenance staff, tower elevator
Height and the plan of Wind turbines repair and maintenance, take into account real-time stochastic uncertainty feature, when determining elevator each run interval
Long threshold value, elevator number of run and elevator single run power consumption.The daily power consumption computation model in real time of elevator operation, such as Fig. 2
It is shown.
Abandonment is that there are larger uncertainties for tower elevator supply, need to configure certain energy storage device and be used in no abandonment
When distributing rationally of energy-storage system is being carried out, is being needed to meet the requirement of tower elevator operational reliability for tower elevator supply
It is reasonably planned according to the actual situation, finds the energy storage system optimal capacity of economy；
Preferably, step (3) building is based on the minimum tower elevator supply Optimal Operation Model for losing abandonment amount are as follows:
MinF=Fty+Fdw-Fhc
In formula, Fty--- energy storage cost；Fdw--- purchases strategies inside wind power plant；Fhc--- energy storage compensates thermoelectricity blowdown
With environmental improvement cost；
Due to energy storage higher cost, and research of the invention therefore need to be only configured and meet tower based on dispatching a few days ago
Elevator institute's electricity demand on the one, thus；
Preferably, step (3) building based on energy storage in the minimum tower elevator supply Optimal Operation Model for losing abandonment amount at
This FtyIncluding cost of investment and operation cost, in which:
Cost of investment are as follows:
Ftz=Cm×Cap
In formula, Ftz--- energy-storage system cost of investment；Cm--- the per-unit system cost of stored energy capacitance；
Cap--- energy storage total capacity；
Operation cost are as follows:
In formula, Fyy--- energy storage operation cost；K1--- storage energy operation cost compromise coefficient；Peni——
Active output power of the energy storage at the moment；t1,t2--- energy-storage system runing time domain.
Preferably, step (3) building is based on wind power plant in the minimum tower elevator supply Optimal Operation Model for losing abandonment amount
Internal purchases strategies FdwAre as follows:
Fdw=cdwWdw
In formula, cdw--- power purchase unit price inside wind power plant；Wdw--- purchase electricity.
Preferably, step (3) building is mended based on energy storage in the minimum tower elevator supply Optimal Operation Model for losing abandonment amount
Repay thermoelectricity blowdown and environmental improvement cost FhcIncluding thermoelectricity unit blowdown cost and thermoelectricity pollution treatment cost, in which:
Fhc=Fep+Fpl
In formula, Fep--- thermoelectricity unit blowdown cost, Fpl--- thermoelectricity pollution treatment cost；
Thermoelectricity unit blowdown cost are as follows:
In formula, cep--- thermoelectricity blowdown cost conversion unit price, Wan $/MW；N --- fired power generating unit sum；M --- participate in hair
The fired power generating unit quantity of electricity；Pij--- power output of i-th fired power generating unit at the j moment, MW；Wi(Pj) --- i-th fired power generating unit
In the specific power blowdown flow rate at j moment, t/MW；
Thermoelectricity pollution treatment cost are as follows:
In formula, cpl--- thermoelectricity unit pollution treatment cost, unit are Wan $/t；N --- fired power generating unit sum；M --- it participates in
The fired power generating unit quantity of power generation；Pij--- power output of i-th fired power generating unit at the j moment, MW；Wi(Pj) --- i-th thermal motor
Specific power blowdown flow rate of the group at the j moment, t/MW.
Preferably, step (3) building further includes master based on the minimum tower elevator supply Optimal Operation Model for losing abandonment amount
Constraint condition is wanted, the main constraints include: maintenance continuity constraint, the constraint of maintenance time started, energy storage discharge power
Constraint, the constraint of energy storage residual capacity, in which:
Overhaul continuity constraint:
In formula: ti--- confinement time needs to complete a certain maintenance or task whithin a period of time；si--- the time started；
di--- maintenance duration；
Overhaul time started constraint:
In formula:--- the earliest time that the i-th Wind turbines can overhaul；--- i-th of unit can overhaul at the latest when
Between；--- i-th of unit maintenance period；
The constraint of energy storage discharge power:
0≤Pb,t≤Pb,max
In formula: Pb,t--- discharge power of the energy storage in t moment；Pb,max--- energy storage discharge power；
The constraint of energy storage residual capacity:
In formula: Cs(t) --- the residual capacity of energy storage t moment；CbN--- energy storage rated capacity；β1、β2--- energy storage over-discharge
With the protection factor overcharged.
Preferably, particle algorithm is introduced in step (4) and improves particle algorithm；Wherein:
Particle algorithm:
In formula, i --- number of particles；D --- number；--- of i-th of particle in the d times iteration
Body is optimal and global optimum；--- speed and position of i-th of particle in the d times iteration；ω,c1、c2--- in speed
Spend the weight coefficient in renewal process；frand--- the random number of (0,1)；δ --- constraint factor is usually arranged as 1, wherein grain
Subgroup is according to particle algorithmsIt updates；Due to particle have certain velocity inertial, and always with
With best particle position；When parameter selection is improper, algorithm rate is lower and particle can only search for certain region, cannot search for whole
A solution space, is unable to reach global optimum；Thus, to solve the above problems, speed is newly defined as 0 element in particle x
With the exchange of 1 element；Work as xp=0, xq=1, in order to exchange the element 0 and 1 in this 2 particle x, then speed v is needed is defined as: vp
=1, vq=-1；By formula x+v=x ', it can be achieved that 0 and 1 exchange in particle x, and 0,1 element in particle x will not be changed
Quantity；Assuming that remaining element is all 0, constant c > 0 containing Q 1 and Q -1 in speed v；Therefore constant c and speed are redefined
Spend the rule that v is multiplied: one, 0 element is constant in speed v；Two, min { Q, int (c × Q) } a element 1 in speed v is randomly choosed
It is constant with -1, remaining 1 and -1 element become 0 entirely；If maximum number of iterations is M, then i-th of particle is in iteration j speed per hour
The more new formula of degree and position are as follows:
xi=xi+vi
In formula, wmin,wmax--- minimum inertia coeffeicent and maximum inertia coeffeicent, wherein 0 < wmin< wmax< 1；r——
The random number of (0,1)；pg--- globally optimal solution；In order to ensure particle can be in extensive search feasible solution, and effectively improve
Convergence speed of the algorithm, when there is xi=pgWhen, viJust become meeting xiThe arbitrary value of exchange regulation.
Preferably, step (5) is with formula minF=Fty+Fdw-FhcEconomy it is optimal be objective function, corresponding population is calculated
The fitness value of method, it is determined whether reach stopping criterion for iteration, maximum number of iterations is chosen 200 times, and initial value is randomly provided, and is changed
Into particle swarm algorithm process；Improved particle algorithm is combined with practical, and each particle represents a solution, it finally can shape
At a disaggregation, the abandonment amount of last result and former maintenance plan and prediction is compared, the abandonment amount and plan at the moment
Whether inspection and repair shop electricity demand matches, and it is not necessary to modify maintenance plans if matching, if mismatching adjustment maintenance plan as needed,
Complete the optimization to tower elevator supply dispatching method.
The invention has the advantages that:
The present invention is optimal for target with tower elevator supply economy when wind power plant operation and maintenance, by particle swarm algorithm
Basic principle, in conjunction with the specific actual conditions in wind power plant, establish based on particle swarm algorithm innovatory algorithm optimization
Model effectively improves particle swarm algorithm by defining the update method of new speed and new speed during solving the model
Computational efficiency, complete optimization to tower elevator supply dispatching method.
The present invention effectively improves abandonment digestion capability, improves tower elevator dispatching by the dispatching method after optimization
Economy reduces the cost of tower overhauling elevator maintenance.
Detailed description of the invention
In order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, to embodiment or will show below
There is attached drawing needed in technical description to be briefly described, it should be apparent that, the accompanying drawings in the following description is only this
Some embodiments of invention for those of ordinary skill in the art without creative efforts, can be with
It obtains other drawings based on these drawings.
Fig. 1 is a kind of tower elevator supply mode configuration of minimum tower elevator supply Optimization Scheduling for losing abandonment amount
Figure；
Fig. 2 is that elevator runs real-time power consumption computation model figure；
Fig. 3 is to improve particle swarm algorithm flow chart；
Fig. 4 is element exchange figure；
Fig. 5 is that elevator power consumption curve and elevator need energy storage curve graph；
Fig. 6 is the abandonment power quantity predicting figure of electric field one day；
Fig. 7 is particle swarm algorithm and the comparison diagram for improving particle swarm algorithm；
Fig. 8 is optimizing curve graph.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, it is obtained by those of ordinary skill in the art without making creative efforts every other
Embodiment shall fall within the protection scope of the present invention.
With reference to Fig. 1~8, a kind of minimum tower elevator supply Optimization Scheduling for losing abandonment amount includes the following steps:
(1) tower elevator supply pattern model is constructed；
(2) tower elevator day power consumption model is constructed；
(3) it constructs based on the minimum tower elevator supply Optimal Operation Model for losing abandonment amount；
(4) it introduces particle algorithm and improves particle algorithm；In particle algorithm, since particle has certain inertia speed
Degree, and always follow best particle position；When parameter selection is improper, algorithm rate is lower and particle can only search for certain area
Domain cannot search for entire solution space, be unable to reach global optimum；Thus, to solve the above problems, particle algorithm is improved,
Speed is newly defined as to the exchange of element in particle；Therefore the rule that constant is multiplied with speed is redefined: one, 0 in speed
Element is constant；Two, randomly choose speed in several elements 1 and -1 it is constant, remaining 1 with -1 element become 0 entirely, it is ensured that
In improved particle algorithm, particle can be in extensive search feasible solution, and effectively improves convergence speed of the algorithm；
(5) by improved particle algorithm and the practical optimization for being combined and being completed to tower elevator supply dispatching method.
It is optimal for target with economy under the powering mode of " abandonment amount+energy storage compensation electricity=elevator consumes electricity ",
Study based on the minimum tower elevator supply Optimized Operation for losing abandonment amount, it is necessary to clear abandonment electricity, energy storage compensation electricity with
Elevator consumes the relationship between electricity three, for convenient for calculating verifying, unification is primary using improvement stage energy consumption as tower elevator
Operation energy consumption, and entire wind power plant tower elevator operation total energy consumption is calculated with this, thus；
Further, step (1) constructs tower elevator supply pattern model are as follows:
Abandonment amount+energy storage compensation electricity=elevator consumes electricity
Due to there is uncertain weighted factor, and the primary demand of these weighted factors and repair and maintenance staff, with
Machine uncertainty feature, Wind turbines catastrophic failure number and severity are related, therefore can be determined according to expert survey
The value of weighted factor is had following several using number at the top of expert survey assessment Wind turbines maintenance duration and upper and lower Wind turbines
A feature: time for eating meals is met in staff's maintenance process and remains unfulfilled maintenance task, needs to continue to overhaul after first uniformly having dinner；Wind
The general inspection duration of motor group is within 3h, and generally without time for eating meals；Major break down overhauls duration depending on situation at that time,
Consider service personnel's physiological reason, therefore 3-6h maintenance duration is unified within 3h on rise times and increases by 2 times, 3-6h increases by 4
Secondary, 6-9h increases by 6 9h, 8 numbers added above；Comprehensively consider a variety of causes and expertise description, setting maintenance duration with it is upper
Rise number relationship.
Further, step (2) constructs tower elevator day power consumption model are as follows:
Tower elevator day power consumption model:
Wsum=Wplan+(α1+α2+α3)W
In formula, Wsum--- the real-time day power consumption total amount of tower elevator；Wplan--- by the tower elevator consumption of maintenance plan；
α1,α2,α3--- weighted factor and be integer, determined by maintenance personal's primary demand, Wind turbines failure and fault degree；
W --- elevator once runs power consumption；Wherein
In formula, W --- elevator once runs power consumption；Kf--- for coefficient of energy dissipation inside elevator auxiliary device；Q --- electricity
Terraced load capacity；SWP --- elevator self weight；G --- acceleration of gravity, H --- tower height；ηd--- motor efficiency；η——
Elevator efficiency；
Abandonment is that there are larger uncertainties for tower elevator supply, need to configure certain energy storage device and be used in no abandonment
When distributing rationally of energy-storage system is being carried out, is being needed to meet the requirement of tower elevator operational reliability for tower elevator supply
It is reasonably planned according to the actual situation, finds the energy storage system optimal capacity of economy.
Further, step (3) building is based on the minimum tower elevator supply Optimal Operation Model for losing abandonment amount are as follows:
MinF=Fty+Fdw-Fhc
In formula, Fty--- energy storage cost；Fdw--- purchases strategies inside wind power plant；Fhc--- energy storage compensates thermoelectricity blowdown
With environmental improvement cost；
Due to energy storage higher cost, and research of the invention therefore need to be only configured and meet tower based on dispatching a few days ago
Elevator institute's electricity demand on the one.
Further, step (3) building is based on energy storage in the minimum tower elevator supply Optimal Operation Model for losing abandonment amount
Cost FtyIncluding cost of investment and operation cost, in which:
Cost of investment are as follows:
Ftz=Cm×Cap
In formula, Ftz--- energy-storage system cost of investment；Cm--- the per-unit system cost of stored energy capacitance；
Cap--- energy storage total capacity；
Operation cost are as follows:
In formula, Fyy--- energy storage operation cost；K1--- storage energy operation cost compromise coefficient；Peni——
Active output power of the energy storage at the moment；t1,t2--- energy-storage system runing time domain.
Further, step (3) building is based on wind-powered electricity generation in the minimum tower elevator supply Optimal Operation Model for losing abandonment amount
The internal purchases strategies F in fielddwAre as follows:
Fdw=cdwWdw
In formula, cdw--- power purchase unit price inside wind power plant；Wdw--- purchase electricity.
Further, step (3) building is based on energy storage in the minimum tower elevator supply Optimal Operation Model for losing abandonment amount
Compensate thermoelectricity blowdown and environmental improvement cost FhcIncluding thermoelectricity unit blowdown cost and thermoelectricity pollution treatment cost, in which:
Fhc=Fep+Fpl
In formula ,=Fep--- thermoelectricity unit blowdown cost, Fpl--- thermoelectricity pollution treatment cost；
Thermoelectricity unit blowdown cost are as follows:
In formula, cep--- thermoelectricity blowdown cost conversion unit price, Wan $/MW；N --- fired power generating unit sum；M --- participate in hair
The fired power generating unit quantity of electricity；Pij--- power output of i-th fired power generating unit at the j moment, MW；Wi(Pj) --- i-th fired power generating unit
In the specific power blowdown flow rate at j moment, t/MW；
Thermoelectricity pollution treatment cost are as follows:
In formula, cpl--- thermoelectricity unit pollution treatment cost, unit are Wan $/t；N --- fired power generating unit sum；M --- it participates in
The fired power generating unit quantity of power generation；Pij--- power output of i-th fired power generating unit at the j moment, MW；Wi(Pj) --- i-th thermal motor
Specific power blowdown flow rate of the group at the j moment, t/MW.
Further, tower elevator supply Optimal Operation Model of the step (3) building based on minimum mistake abandonment amount further includes
Main constraints, the main constraints include: maintenance continuity constraint, the constraint of maintenance time started, energy storage electric discharge function
Rate constraint, the constraint of energy storage residual capacity, in which:
Overhaul continuity constraint:
In formula: ti--- confinement time needs to complete a certain maintenance or task whithin a period of time；si--- the time started；
di--- maintenance duration；
Overhaul time started constraint:
In formula:--- the earliest time that the i-th Wind turbines can overhaul；--- i-th of unit can overhaul at the latest
Time；--- i-th of unit maintenance period；
The constraint of energy storage discharge power:
0≤Pb,t≤Pb,max
In formula: Pb,t--- discharge power of the energy storage in t moment；Pb,max--- energy storage discharge power；
The constraint of energy storage residual capacity:
In formula: Cs(t) --- the residual capacity of energy storage t moment；CbN--- energy storage rated capacity；β1、β2--- energy storage over-discharge
With the protection factor overcharged.
Further, particle algorithm is introduced in step (4) and improves particle algorithm, in which:
Particle algorithm:
In formula, i --- number of particles；D --- number；--- of i-th of particle in the d times iteration
Body is optimal and global optimum；--- speed and position of i-th of particle in the d times iteration；ω,c1、c2--- in speed
Spend the weight coefficient in renewal process；frand--- the random number of (0,1)；δ --- constraint factor is usually arranged as 1, wherein grain
Subgroup is according to particle algorithmsIt updates；Due to particle have certain velocity inertial, and always with
With best particle position；When parameter selection is improper, algorithm rate is lower and particle can only search for certain region, cannot search for whole
A solution space, is unable to reach global optimum；Thus, to solve the above problems, speed is newly defined as 0 element in particle x
With the exchange of 1 element；Work as xp=0, xq=1, in order to exchange the element 0 and 1 in the two particles x, then speed v is needed is defined as: vp
=1, vq=-1；By formula x+v=x ', it can be achieved that 0 and 1 exchange in particle x, and 0,1 element in particle x will not be changed
Quantity；Assuming that remaining element is all 0, constant c > 0 containing Q 1 and Q -1 in speed v；Therefore constant c and speed are redefined
Spend the rule that v is multiplied: one, 0 element is constant in speed v；Two, min { Q, int (c × Q) } a element 1 in speed v is randomly choosed
It is constant with -1, remaining 1 and -1 element become 0 entirely；If maximum number of iterations is M, then i-th of particle is in iteration j speed per hour
The more new formula of degree and position are as follows:
xi=xi+vi
In formula, wmin,wmax--- minimum inertia coeffeicent and maximum inertia coeffeicent, wherein
0 < wmin< wmax< 1；R --- the random number of (0,1)；pg--- globally optimal solution；
In order to ensure particle can be in extensive search feasible solution, and convergence speed of the algorithm is effectively improved, when there is xi=pg
When, viJust become meeting xiThe arbitrary value of exchange regulation.
Further, step (5) is with formula minF=Fty+Fdw-FhcEconomy it is optimal be objective function, corresponding population
The fitness value of algorithm, it is determined whether reach stopping criterion for iteration, maximum number of iterations is chosen 200 times, and initial value is randomly provided,
Improve particle swarm algorithm process；Improved particle algorithm is combined with practical, and each particle represents a solution, finally can
A disaggregation is formed, the abandonment amount of last result and former maintenance plan and prediction compares, the abandonment amount and meter at the moment
Draw whether inspection and repair shop electricity demand matches, it is not necessary to modify maintenance plans if matching, if mismatching adjustment maintenance meter as needed
It draws, completes the optimization to tower elevator supply dispatching method.
Embodiment:
By taking the Da Bancheng wind park of Xinjiang as an example, which has the Wind turbines of 25 2MW, considers 24 periods of one day
Unit maintenance scheduling.It is optimal with economy under the powering mode of " abandonment amount+energy storage compensation electricity=elevator consumes electricity "
It for target, studies based on the minimum tower elevator supply Optimized Operation for losing abandonment amount, it is necessary to clear abandonment electricity, energy storage compensation
Relationship between electricity and elevator consumption electricity three；For convenient for calculating verifying, unification is electric using improvement stage energy consumption as tower
A terraced operation energy consumption, and entire wind power plant tower elevator operation total energy consumption is calculated with this；By taking the wind power plant as an example, H=80m,
Calculate to obtain power consumption W=0.175kWh of the wind power plant tower elevator.
Under to lose abandonment electricity minimum, the optimal model for target of economy, according to history abandonment data and tower
Elevator consumes the comparative analysis of power, and can obtain: the power consumption of tower elevator is lower, and the power consumption of tower elevator is far smaller than
Abandonment power；Therefore, the power supply of the inevitable tower elevator enough of the abandonment electricity that the wind power plant a certain moment generates, only without abandonment
When and electric field because too small etc. reasons output power of wind speed when being zero, just will appear abandonment power consume power lower than elevator
The case where.
Abandonment is that there are larger uncertainties for tower elevator supply, need to configure certain energy storage device and be used in no abandonment
When distributing rationally of energy-storage system is being carried out, is being needed to meet the requirement of tower elevator operational reliability for tower elevator supply
It is reasonably planned according to the actual situation, finds the energy storage system optimal capacity of economy；Due to energy storage higher cost, and it is of the invention
Research be that therefore need to only configure and meet tower elevator institute's electricity demand on the one based on dispatching a few days ago, i.e., elevator is consumed
Power subtracts abandonment power, and the part greater than 0 is the place that abandonment not enough power supply needs to configure energy storage.Fig. 5 is elevator consumption
Power and the comparison diagram that energy storage section elevator consumption power need to be configured.What a curve graph in Fig. 5 represented is that elevator power consumption is bent
Line, b curve graph is the positive portion that a curve elevator power consumption curve subtracts abandonment curve acquired results, to need to configure energy storage
Part elevator consumes power.As shown in Figure 5, b curve and a curve partially overlap, this is partly due to abandonment needs to configure for 0
The place of energy storage.Wherein stored energy capacitance and power maximum are no more than the maximum value in data record, and power minimum is not less than number
According to the mode value of record.
Due to there is uncertain weighted factor, and the primary demand of these weighted factors and repair and maintenance staff, with
Machine uncertainty feature, Wind turbines catastrophic failure number and severity are related, therefore can be determined according to expert survey
The value of weighted factor is had following several using number at the top of expert survey assessment Wind turbines maintenance duration and upper and lower Wind turbines
A feature:
1) time for eating meals is met in staff's maintenance process and remain unfulfilled maintenance task, need to continue to examine after first uniformly having dinner
It repairs；
2) the general inspection duration of Wind turbines is within 3h, and generally without time for eating meals；
3) major break down overhauls duration depending on situation at that time, considers service personnel's physiological reason, therefore 3-6h overhauls duration
It is unified within 3h on rise times and increases by 2 times, 3-6h increases by 4 times, and 6-9h increases by 6 9h, 8 numbers added above；
Table 1
Comprehensively considering a variety of causes and expertise description, setting maintenance duration and rise times relationship are as shown in table 1, and
The forced outage rate R of Wind turbines can be calculated by following formula:
In formula, λ, μ --- crash rate and repair rate；tMTTF、tMTTR--- when mean time between failures and averagely reparation
Between；
Table 2
Forced outage rate by that can obtain Wind turbines in formula is (wherein 1# and 23# disorderly closedown) as shown in table 2, can by table 2
Know that the forced outage rate of Wind turbines is smaller, it is contemplated that disregard；According to the assessment and energy storage above to tower elevator power consumption
The analysis of configuration, takes Th=for 24 hours, Th--- maintenance meter length；If population is 30, maximum number of iterations is 200 times, wmax=0.9,
wmin=0.4, c1=c2=2, root is according to analysis above, this day α1=2, α2=2, α3=4, and each parameter is as shown in table 3.
Table 3
Since the powering mode of the tower elevator is related with abandonment electricity, energy storage compensation electricity, and the prediction of abandonment electricity
It can be by the analysis to wind power plant historical power data and Wind turbines power data, using the difference of two groups of data as abandonment electricity
Then these sequences are carried out signal processing with empirical mode decomposition, in conjunction with Markov Chain to each component by time series
It is predicted；The wind power plant is 4#, 8#, 10# and 21# in maintenance one day, and daily maintenance 3#, 5# and 6# platform, Wind turbines group cuts
Enter wind speed 3m/s, rated wind speed 10.9m/s, cut-out wind speed 25m/s；The abandonment power quantity predicting of the wind power plant is as shown in Figure 6.
Table 4
In the scheduling a few days ago based on one day, configuration meets tower elevator institute's electricity demand on the one, energy-storage system optimum results
As shown in table 4, table 5 be overhaul according to plan with consider it is minimum lose abandonment amount it is small day maintenance plan optimization comparing result；Pass through
The clearly visible the method for the present invention of table 5 is implemented to consider that the minimum maintenance for losing abandonment amount is reduced to original one than original plan maintenance expense
Half, it can be seen that dispatching method of the invention improves the economy of tower elevator dispatching, reduces the maintenance of tower overhauling elevator
Cost.
Table 5
Fig. 7 is particle swarm algorithm and the comparison for improving particle swarm algorithm, and Fig. 8 is the optimizing curve of two schemes；It is aobvious and easy
See, considers that the minimum maintenance for losing abandonment amount is more preferable than the economy overhauled according to plan, demonstrate in " abandonment amount+energy storage compensation
The tower elevator supply Optimal Operation Model based on minimum mistake abandonment amount can under the powering mode of electricity=elevator consumption electricity "
Row opens up a new route for abandonment consumption；And the Wind turbines maintenance period that the mentioned algorithm of the present invention obtains almost pacifies
The period of abandonment electricity abundance is come, this, which also extremely meets, makes full use of wind energy, and the rule of reasonable arrangement Wind turbines maintenance is tested
The reasonability of algorithm is demonstrate,proved.
In conclusion a kind of minimum tower elevator supply Optimization Scheduling for losing abandonment amount of the present invention, " abandonment amount+
It is optimal for target with economy under the tower elevator supply mode of energy storage compensation electricity=tower elevator consumption electricity ", construct base
In the minimum tower elevator supply Optimal Operation Model for losing abandonment amount.It is asked to efficiently solve tower elevator supply Optimized Operation
Topic, proposes improvement particle swarm algorithm, by defining the update method of new speed and new speed, effectively increases particle swarm algorithm
Computational efficiency.The feasibility and validity of tower elevator supply Optimized Operation are solved by the Example Verification model simultaneously
Problems of the prior art improve the economy of tower elevator supply scheduling, reduce the maintenance of tower overhauling elevator
Cost.
The foregoing is merely illustrative of the preferred embodiments of the present invention, is not intended to limit the scope of the present invention.It is all
Any modification, equivalent replacement, improvement and so within the spirit and principles in the present invention, are all contained in protection scope of the present invention
It is interior.
Claims (10)
1. a kind of minimum tower elevator supply Optimization Scheduling for losing abandonment amount, which comprises the steps of:
(1) tower elevator supply pattern model is constructed；
(2) tower elevator day power consumption model is constructed；
(3) it constructs based on the minimum tower elevator supply Optimal Operation Model for losing abandonment amount；
(4) it is introduced into particle algorithm and improves particle algorithm；In particle algorithm, since particle has certain velocity inertial,
And always follow best particle position；When parameter selection is improper, algorithm rate is lower and particle can only search for certain region, no
Entire solution space can be searched for, global optimum is unable to reach；Thus, to solve the above problems, particle algorithm is improved, by speed
It is newly defined as the exchange of element in particle；Therefore redefine the rule that constant is multiplied with speed: one, 0 element is not in speed
Become；Two, randomly choose speed in several elements 1 and -1 it is constant, remaining 1 with -1 element become 0 entirely, it is ensured that after improvement
Particle algorithm in, particle can be in extensive search feasible solution, and effectively improves convergence speed of the algorithm；
(5) by improved particle algorithm and the practical optimization for being combined and being completed to tower elevator supply dispatching method.
2. a kind of minimum tower elevator supply Optimization Scheduling for losing abandonment amount according to claim 1, feature exist
In the step (1) constructs tower elevator supply model are as follows:
Abandonment amount+energy storage compensation electricity=elevator consumes electricity.
3. a kind of minimum tower elevator supply Optimization Scheduling for losing abandonment amount according to claim 1, feature exist
In the step (2) constructs tower elevator day power consumption model are as follows:
Tower elevator day power consumption model:
Wsum=Wplan+(α1+α2+α3)W
In formula, Wsum--- the real-time day power consumption total amount of tower elevator；Wplan--- by the tower elevator consumption of maintenance plan；α1,α2,
α3--- weighted factor and be integer, determined by maintenance personal's primary demand, Wind turbines failure and fault degree；W --- electricity
Terraced primary operation power consumption；Wherein
In formula, W --- elevator once runs power consumption；Kf--- for coefficient of energy dissipation inside elevator auxiliary device；Q --- elevator carries
Lotus amount；SWP --- elevator self weight；G --- acceleration of gravity, H --- tower height；ηd--- motor efficiency；η --- elevator
Efficiency.
4. a kind of minimum tower elevator supply Optimization Scheduling for losing abandonment amount according to claim 1, feature exist
In the step (3) building is based on the minimum tower elevator supply Optimal Operation Model for losing abandonment amount are as follows:
Min F=Fty+Fdw-Fhc
In formula, Fty--- energy storage cost；Fdw--- purchases strategies inside wind power plant；Fhc--- energy storage compensates thermoelectricity blowdown and ring
Border treatment cost.
5. a kind of minimum tower elevator supply Optimization Scheduling for losing abandonment amount according to claim 4, feature exist
In the step (3) building is based on energy storage cost F in the minimum tower elevator supply Optimal Operation Model for losing abandonment amounttyIncluding
Cost of investment and operation cost, in which:
Cost of investment are as follows:
Ftz=Cm×Cap
In formula, Ftz--- energy-storage system cost of investment；Cm--- the per-unit system cost of stored energy capacitance；Cap--- energy storage is always held
Amount；
Operation cost are as follows:
In formula, Fyy--- energy storage operation cost；K1--- storage energy operation cost compromise coefficient；Peni--- energy storage has the moment
Function output power；t1,t2--- energy-storage system runing time domain.
6. a kind of minimum tower elevator supply Optimization Scheduling for losing abandonment amount according to claim 4, feature exist
In the step (3) building is based on power purchase inside wind power plant in the minimum tower elevator supply Optimal Operation Model for losing abandonment amount
Cost FdwAre as follows:
Fdw=cdwWdw
In formula, cdw--- power purchase unit price inside wind power plant；Wdw--- purchase electricity.
7. a kind of minimum tower elevator supply Optimization Scheduling for losing abandonment amount according to claim 4, feature exist
In the step (3) building is based on energy storage compensation thermoelectricity row in the minimum tower elevator supply Optimal Operation Model for losing abandonment amount
Dirty and environmental improvement cost FhcIncluding thermoelectricity unit blowdown cost and thermoelectricity pollution treatment cost, in which:
Fhc=Fep+Fpl
In formula, Fep--- thermoelectricity unit blowdown cost, Fpl--- thermoelectricity pollution treatment cost；
Thermoelectricity unit blowdown cost are as follows:
In formula, cep--- thermoelectricity blowdown cost conversion unit price, Wan $/MW；N --- fired power generating unit sum；M --- participate in power generation
Fired power generating unit quantity；Pij--- i-th fired power generating unit existsjThe power output at moment, MW；Wi(Pj) --- i-th fired power generating unit is in j
The specific power blowdown flow rate at quarter, t/MW；
Thermoelectricity pollution treatment cost are as follows:
In formula, cpl--- thermoelectricity unit pollution treatment cost, unit are Wan $/t；N --- fired power generating unit sum；M --- participate in power generation
Fired power generating unit quantity；Pij--- power output of i-th fired power generating unit at the j moment, MW；Wi(Pj) --- i-th fired power generating unit is in j
The specific power blowdown flow rate at moment, t/MW.
8. a kind of minimum tower elevator supply Optimization Scheduling for losing abandonment amount according to claim 4, feature exist
In the step (3) building further includes major constraints item based on the minimum tower elevator supply Optimal Operation Model for losing abandonment amount
Part, the main constraints include: maintenance continuity constraint, the constraint of maintenance time started, the constraint of energy storage discharge power, energy storage
Residual capacity constraint, in which:
Overhaul continuity constraint:
In formula: ti--- confinement time needs to complete a certain maintenance or task whithin a period of time；si--- the time started；di——
Overhaul duration；
Overhaul time started constraint:
In formula:--- the earliest time that the i-th Wind turbines can overhaul；--- the latest time that i-th of unit can overhaul；--- i-th of unit maintenance period；
The constraint of energy storage discharge power:
0≤Pb,t≤Pb,max
In formula: Pb,t--- discharge power of the energy storage in t moment；Pb,max--- energy storage discharge power；
The constraint of energy storage residual capacity:
In formula: Cs(t) --- the residual capacity of energy storage t moment；CbN--- energy storage rated capacity；β1、β2--- energy storage over-discharge and mistake
The protection factor filled.
9. a kind of minimum tower elevator supply Optimization Scheduling for losing abandonment amount according to claim 1, feature exist
In being introduced in the step (4) and particle algorithm and improve particle algorithm, in which:
Particle algorithm:
In formula, i --- number of particles；D --- number；--- individual of i-th of particle in the d times iteration is most
Excellent and global optimum；--- speed and position of i-th of particle in the d times iteration；ω,c1、c2--- speed more
Weight coefficient during new；frand--- the random number of (0,1)；δ --- constraint factor is usually arranged as 1, wherein population
According to particle algorithmsIt updates；Since particle has certain velocity inertial, and always follow most
Good particle position；When parameter selection is improper, algorithm rate is lower and particle can only search for certain region, cannot search for and entirely may be used
Row solution space, is unable to reach global optimum；Thus, to solve the above problems, speed is newly defined as in particle x 0 element and 1 yuan
The exchange of element；Work as xp=0, xq=1, in order to exchange the element 0 and 1 in the two particles x, then speed v is needed is defined as: vp=1,
vq=-1；By formula x+v=x ', it can be achieved that 0 and 1 exchange in particle x, and the number of 0,1 element in particle x will not be changed
Amount；Assuming that remaining element is all 0, constant c > 0 containing Q 1 and Q -1 in speed v；Therefore constant c and speed v are redefined
The rule of multiplication: one, 0 element is constant in speed v；Two, min { Q, int (c × Q) } a element 1 and -1 in speed v is randomly choosed
It is constant, remaining 1 and -1 element become 0 entirely；If maximum number of iterations be M, then i-th of particle in iteration j speed with
The more new formula of position are as follows:
xi=xi+vi (2)
In formula, wmin,wmax--- minimum inertia coeffeicent and maximum inertia coeffeicent, wherein 0 < wmin< wmax< 1；R --- (0,1)
Random number；pg--- globally optimal solution；In order to ensure particle can be in extensive search feasible solution, and effectively improve algorithm
Convergence rate, when there is xi=pgWhen, viJust become meeting xiThe arbitrary value of exchange regulation.
10. a kind of minimum tower elevator supply Optimization Scheduling for losing abandonment amount according to claim 1, feature exist
In in the step (5), with formula min F=Fty+Fdw-FhcEconomy it is optimal be objective function, corresponding particle swarm algorithm
Fitness value, it is determined whether reach stopping criterion for iteration, maximum number of iterations is chosen 200 times, and initial value is randomly provided, and improves grain
Swarm optimization process；Improved particle algorithm is combined with practical, and each particle represents a solution, finally will form one
The abandonment amount of a disaggregation, last result and former maintenance plan and prediction compares, the abandonment amount and scheduled overhaul at the moment
Whether institute's electricity demand matches, and it is not necessary to modify maintenance plans if matching, if mismatching adjustment maintenance plan as needed, completes
Optimization to tower elevator supply dispatching method.
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