CN110048459A - A kind of tower elevator energy-storage system Optimal Configuration Method utilized based on abandonment - Google Patents
A kind of tower elevator energy-storage system Optimal Configuration Method utilized based on abandonment Download PDFInfo
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Abstract
The invention discloses a kind of tower elevator energy-storage system Optimal Configuration Methods utilized based on abandonment, it include: building tower elevator operating load short of electricity amount model, construct energy-storage system maximum charge-discharge electric power model, construct energy-storage system economy model, construct energy-storage system power supply reliability model, energy-storage battery energy balance constraint condition is introduced, the Optimal Configuration Method of energy-storage system is introduced.The present invention for current wind power plant can not solve the problems, such as both to have guaranteed cost, and minimum to meet load short of electricity rate again minimum, with the minimum target of load short of electricity rate, by being optimized using NSGA-II multi-objective genetic algorithm, obtain optimal energy storage configuration result, the feasibility and validity that the minimum energy storage of selection cost configures in the range of being allowed by case verification peak load short of electricity rate, solve problems of the prior art.
Description
Technical field
The present invention relates to a kind of tower elevator energy-storage system Optimal Configuration Methods utilized based on abandonment.
Background technique
Wind-powered electricity generation industry is quickly grown in recent years, and wind-electricity integration also gradually increases therewith, since wind power output fluctuation is big, peak regulation
The reasons such as scarce capacity, the constraint of rack construction speed, cause wind power plant wind-abandoning phenomenon serious, how rationally to utilize wind-resources and incite somebody to action
Abandonment consumption has become the problem of people gradually pay attention to.In addition, Chinese high-power wind turbine unit height reaches 80m, daily wind-powered electricity generation is given
Unit maintenance and trouble hunting are made troubles.
To solve abandonment consumption and Wind turbines maintenance, maintenance issues in wind power plant, can be equipped on every Wind turbines
Tower elevator can not only ensure life security when service personnel executes repair and maintenance operation, but also overhaul efficiency can be improved.And tower
A large amount of energy consumptions caused by the frequent operation of elevator can be solved by installing the energy-storage system of compensation electricity for tower elevator,
Abandonment direct-furnish tower elevator is run in the case that abandonment electricity is more, and part abandonment electricity is stored in energy-storage system, in nothing
Electricity is compensated for the operation of tower elevator using energy-storage system when abandonment.Currently, existing some scholars to abandonment consumption and energy storage into
It has gone numerous studies, has proposed the thought for utilizing wind-powered electricity generation heat supply, in the area that wind-resources are abundant, the heat supply in winter phase is long, using wind-powered electricity generation
The method of trough period heating improves abandonment utilization rate；The method of energy storage of proposing to draw water utilizes waterpower when user's end load is larger
Power generation is powered；It is proposed the energy-storage system to wind power plant configuration suitable capacity, building wind storing cogeneration system etc.；However it is high
The wind power plant energy-storage system of configuration can provide sufficient guarantee, and but higher cost cost performance is undesirable, and cost performance is comparatively ideal low
Configuration wind power plant energy-storage system is difficult to meet the requirement of underload short of electricity rate again, how to balance between cost and load short of electricity rate
Relationship is always a problem.
Summary of the invention
The present invention propose with cost is minimum and the minimum objective function of load short of electricity rate, with the state-of-charge of energy-storage battery,
Charge-discharge electric power, energy balance are the energy-storage system mathematical model of constraint, are optimized using NSGA-II multi-objective genetic algorithm
It solves, obtains optimal energy storage configuration result；Then, this hair is verified by carrying out analysis to the historical data up to Ban Cheng wind power plant
The feasibility of bright Optimal Allocation Model, optimum results for wind power plant configure economic and practical energy-storage system provide it is a kind of optimization match
Method is set, the minimum energy storage of selection cost configures this research direction with important in the range of allowing peak load short of electricity rate
Meaning.
In order to achieve the above object, the present invention is provided a kind of tower elevator energy-storage system utilized based on abandonment and distributed rationally
Method, the minimum energy storage configuration of selection cost in the range of peak load short of electricity rate allows by the case verification model
Feasibility and validity, solve problems of the prior art.
The technical scheme adopted by the invention is that a kind of tower elevator energy-storage system side of distributing rationally utilized based on abandonment
Method includes the following steps:
(1) tower elevator operating load short of electricity amount model is constructed；
(2) energy-storage system maximum charge-discharge electric power model is constructed；
(3) energy-storage system economy model is constructed；
(4) energy-storage system power supply reliability model is constructed；
(5) energy-storage battery energy balance constraint condition is introduced；
(6) Optimal Configuration Method of energy-storage system is introduced；
(7) select a solution for meeting condition as allocation optimum according to the actual situation.
Preferably, step (1) tower elevator operating load short of electricity amount model are as follows:
In formula, EL--- load short of electricity amount, kWh；P1--- load power last moment power, kW；Pq1--- abandonment function
Rate last moment power, kW；P2--- load power subsequent time power, kW；Pq2--- abandonment power subsequent time power,
kW；
Load side short of electricity amount ELFor load power and abandonment power curve institute's envelope surface product, such as Fig. 1.
Preferably, step (2) constructs energy-storage system maximum charge-discharge electric power model are as follows:
PSN=max Δ P (1) ..., Δ P (i) ..., Δ P (N) }
In formula, PSN--- it is the maximum rated power value of energy-storage system, kW；Δ P --- it is in t moment tower elevator power consumption
The difference of power and abandonment power, i.e. load short of electricity power, kW；
Configuration meets the energy-storage system of burden requirement, can be by load maximum short of electricity function, i.e. tower elevator load power and abandoning
The maximum difference Δ P of wind powermaxIt is set to the maximum charge and discharge rated power of energy-storage battery in advance, that is, can determine certain time period
The maximum rated power value of the interior energy-storage system that machine configuration is risen for tower.
Preferably, step (3) constructs energy-storage system economy model are as follows:
minFz=Ftz+Fyy
In formula, Ftz--- energy-storage system cost of investment；Fyy--- the operation expense of energy-storage system；
Wherein, cost of investment:
Ftz=Cm×Cap
In formula, Cm--- the per-unit system cost of stored energy capacitance；Cap--- energy storage total capacity；
Operation expense:
In formula, K1--- storage energy operation cost compromise coefficient；K2--- the conversion of energy storage unit active power output is single
Valence；Peni--- active output power of the energy storage at the moment；t1、t2--- energy-storage system runing time
Domain；
Mainly to configure energy-storage system cost F in terms of economyzMinimum target, system cost mainly include investment and
Operation expense.
Preferably, step (4) constructs energy-storage system power supply reliability model are as follows:
In formula, n --- the number of sampling points of load power requirement is not able to satisfy in given time period；N——
The number of sampling points of all load powers in given time period；Pload--- load power；Pq——
Abandonment power；
In terms of evaluating energy-storage system power supply reliability, the load short of electricity rate that operating index is evaluated in electric system is quoted
LPSP, value is smaller, shows that system operation is more stable, after energy-storage system is the operation energy supply of tower elevator, with tower elevator fortune
The minimum target of row load short of electricity rate LPSP optimizes.
Preferably, step (5) introduces energy-storage battery energy balance constraint condition are as follows:
State-of-charge constraint:
SOCmin≤ SOC (t)=ES/ESN≤SOCmax
Charge-discharge electric power constraint:
-PS_cmax≤PS(t)≤PS_dmax
The constraint of energy-storage battery energy balance:
Initial energy storage:
E (0)=C
In formula, SOCmaxAnd SOCmin--- the upper and lower bound state-of-charge of energy-storage battery；ES(t)、ESN--- energy-storage battery
In the energy and rated capacity of t moment；ES(t)/ESN--- state-of-charge of the energy-storage battery in t moment；PS_cmax、PS_dmax——
The maximum charge power and maximum discharge power of energy-storage battery；ESC、ESd--- charge and discharge energy of the energy-storage battery in t moment；
ηc、ηd--- the efficiency for charge-discharge of energy-storage battery all takes 0.9；
When configuring energy-storage system, because of the characteristic issues of energy-storage system itself, Shi Jinyi need to be distributed rationally in energy-storage system
Step considers its constraint condition；State-of-charge bound of the present invention takes 0.95 and 0.25 respectively.The capacity of initial time energy-storage battery
For a constant C, it is assumed that energy-storage battery initial time capacity is the half of the rated capacity of energy-storage battery, then has E (0)=ESN×
0.5。
Preferably, step (6) introduces the Optimal Configuration Method of energy-storage system are as follows:
It is asked using the multi-goal optimizing function Gamultiobj based on the non-dominant genetic algorithm of NSGA-II
Solve a multiple target Solve problems, multiple target Solve problems are to meet under setting constraint condition, can
Control decision variable makes multiple targets tend to optimal problem in row domain,
In formula: fi(x) --- optimization object function；M --- equality constraint number；K --- inequality
Constrain number；
When for tower elevator arrangement energy-storage system, on the one hand to consider energy storage economy to be considered, on the other hand to examine
Consider tower elevator load short of electricity rate, this can be regarded as to a multiple target Solve problems, that is, meets under setting constraint condition, feasible
Control decision variable makes multiple targets tend to be optimal in domain.The present invention is used based on the more of the non-dominant genetic algorithm of NSGA-II
Objective optimization function Gamultiobj is solved, and the place that NSGA-II algorithm is different from general simple generic algorithm is
Before carrying out genetic operator operation, some sequencing selection operations are first carried out: firstly, the non-bad hierarchal order of arrangement, guarantees each non-
Bad individual can be evenly distributed in the entire region Pareto, obtain Noninferior Solution Set；Then, non-bad sequence and crowding
It is worth best individual to pick out as parent population；Finally, optimize generation progeny population, then by parent population and filial generation
Population is combined and repeats genetic optimization operation, requires to terminate just now until meeting to be manually set.Under constraint condition
During adjusting decision variable, be between each target mutually restrain it is conflicting, therefore can only in multiple-objection optimization
Compromise solves, and the solution that compromise process obtains is a disaggregation, referred to as Pareto optimal solution, as shown in Fig. 2, assuming that feasible zone
In, the disaggregation that line where A, B is formed is known as Pareto optimal solution set.The present invention is using in Matlab optimization tool
Gamultiobj multi-goal optimizing function optimizes the energy-storage system configuration of compensation tower elevator operation energy consumption, optimization algorithm
Detailed process is as shown in Figure 3.
The invention has the advantages that:
The present invention is minimum with cost and load short of electricity rate is minimum optimal for target, by the non-dominant genetic algorithm of NSGA-II
Multi-goal optimizing function Gamultiobj solved, in conjunction with the specific actual conditions in wind power plant, obtain in load
Minimum energy storage configuration in the minimum range of short of electricity rate, completes the optimization configured to tower elevator energy storage.
The present invention improves wind power plant in the range of peak load short of electricity rate allows by the configuration method after optimization
Economy reduces the cost of wind power plant tower elevator energy storage configuration.
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 energy storage energy supply relational graph of tower elevator energy-storage system Optimal Configuration Method utilized based on abandonment；
Fig. 2 is Pareto optimal solution set figure；
Fig. 3 is multiple-objection optimization flow chart；
Fig. 4 is tower elevator operation power diagram；
Fig. 5 is tower elevator operation short of electricity situation map；
Fig. 6 is that energy storage can analysis by charged and discharged figure；
Fig. 7 is stored energy capacitance configuration optimization result figure；
Fig. 8 is load short of electricity rate and energy storage configuration relation figure；
Fig. 9 is energy storage cost and energy storage configuration relation figure；
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. 1~9, a kind of tower elevator energy-storage system Optimal Configuration Method utilized based on abandonment, including walk as follows
It is rapid:
(1) tower elevator operating load short of electricity amount model is constructed；
(2) energy-storage system maximum charge-discharge electric power model is constructed；
(3) energy-storage system economy model is constructed；
(4) energy-storage system power supply reliability model is constructed；
(5) energy-storage battery energy balance constraint condition is introduced；
(6) Optimal Configuration Method of energy-storage system is introduced；
(7) select a solution for meeting condition as allocation optimum according to the actual situation.
Further, step (1) tower elevator operating load short of electricity amount model are as follows:
In formula, EL--- load short of electricity amount, kWh；P1--- load power last moment power, kW；Pq1--- abandonment function
Rate last moment power, kW；P2--- load power subsequent time power, kW；Pq2--- abandonment power subsequent time power,
kW；
Further, step (2) constructs energy-storage system maximum charge-discharge electric power model are as follows:
PSN=max Δ P (1) ..., Δ P (i) ..., Δ P (N) }
In formula, PSN--- it is the maximum rated power value of energy-storage system, kW；Δ P --- it is in t moment tower elevator power consumption
The difference of power and abandonment power, i.e. load short of electricity power, kW；
Configuration meets the energy-storage system of burden requirement, can be by load maximum short of electricity function, i.e. tower elevator load power and abandoning
The maximum difference Δ P of wind powermaxIt is set to the maximum charge and discharge rated power of energy-storage battery in advance, that is, can determine certain time period
The maximum rated power value of the interior energy-storage system that machine configuration is risen for tower.
Preferably, step (3) constructs energy-storage system economy model are as follows:
minFz=Ftz+Fyy
In formula, Ftz--- energy-storage system cost of investment；Fyy--- the operation expense of energy-storage system；
Wherein, cost of investment:
Ftz=Cm×Cap
In formula, Cm--- the per-unit system cost of stored energy capacitance；Cap--- energy storage total capacity；
Operation expense:
In formula, K1--- storage energy operation cost compromise coefficient；K2--- energy storage unit active power output conversion unit price；Peni——
Active output power of the energy storage at the moment；t1、t2--- energy-storage system runing time domain；
Mainly to configure energy-storage system cost F in terms of economyzMinimum target, system cost mainly include investment and
Operation expense.
Further, step (4) constructs energy-storage system power supply reliability model are as follows:
In formula, n --- the number of sampling points of load power requirement is not able to satisfy in given time period；N --- given time
The number of sampling points of all load powers in section；Pload--- load power；Pq--- abandonment power；
In terms of evaluating energy-storage system power supply reliability, the load short of electricity rate that operating index is evaluated in electric system is quoted
LPSP, value is smaller, shows that system operation is more stable, after energy-storage system is the operation energy supply of tower elevator, with tower elevator fortune
The minimum target of row load short of electricity rate LPSP optimizes.
Further, step (5) introduces energy-storage battery energy balance constraint condition are as follows:
State-of-charge constraint:
SOCmin≤ SOC (t)=ES/ESN≤SOCmax
Charge-discharge electric power constraint:
-PS_cmax≤PS(t)≤PS_dmax
The constraint of energy-storage battery energy balance:
Initial energy storage:
E (0)=C
In formula, SOCmaxAnd SOCmin--- the upper and lower bound state-of-charge of energy-storage battery；ES(t)、ESN--- energy-storage battery
In the energy and rated capacity of t moment；ES(t)/ESN--- state-of-charge of the energy-storage battery in t moment；PS_cmax、PS_dmax——
The maximum charge power and maximum discharge power of energy-storage battery；ESC、ESd--- charge and discharge energy of the energy-storage battery in t moment；
ηc、ηd--- the efficiency for charge-discharge of energy-storage battery all takes 0.9；
When configuring energy-storage system, because of the characteristic issues of energy-storage system itself, Shi Jinyi need to be distributed rationally in energy-storage system
Step considers its constraint condition；State-of-charge bound of the present invention takes 0.95 and 0.25 respectively.The capacity of initial time energy-storage battery
For a constant C, it is assumed that energy-storage battery initial time capacity is the half of the rated capacity of energy-storage battery, then has E (0)=ESN×
0.5。
Further, step (6) introduces the Optimal Configuration Method of energy-storage system are as follows:
It is asked using the multi-goal optimizing function Gamultiobj based on the non-dominant genetic algorithm of NSGA-II
Solve a multiple target Solve problems, multiple target Solve problems are to meet under setting constraint condition, can
Control decision variable makes multiple targets tend to optimal problem in row domain,
In formula: fi(x) --- optimization object function；M --- equality constraint number；K --- inequality constraints number；
When for tower elevator arrangement energy-storage system, on the one hand to consider energy storage economy to be considered, on the other hand to examine
Consider tower elevator load short of electricity rate, this can be regarded as to a multiple target Solve problems, that is, meets under setting constraint condition, feasible
Control decision variable makes multiple targets tend to be optimal in domain.The present invention is used based on the more of the non-dominant genetic algorithm of NSGA-II
Objective optimization function Gamultiobj is solved, and the place that NSGA-II algorithm is different from general simple generic algorithm is
Before carrying out genetic operator operation, some sequencing selection operations are first carried out: firstly, the non-bad hierarchal order of arrangement, guarantees each non-
Bad individual can be evenly distributed in the entire region Pareto, obtain Noninferior Solution Set；Then, non-bad sequence and crowding
It is worth best individual to pick out as parent population；Finally, optimize generation progeny population, then by parent population and filial generation
Population is combined and repeats genetic optimization operation, requires to terminate just now until meeting to be manually set.Under constraint condition
During adjusting decision variable, be between each target mutually restrain it is conflicting, therefore can only in multiple-objection optimization
Compromise solves, and the solution that compromise process obtains is a disaggregation, referred to as Pareto optimal solution, assuming that feasible zone in, where A, B
The disaggregation that line is formed is known as Pareto optimal solution set.The present invention utilizes the Gamultiobj multiple target in Matlab optimization tool
Majorized function optimizes the energy-storage system configuration of compensation tower elevator operation energy consumption.
Embodiment:
By taking the Da Bancheng wind park of Xinjiang as an example, Xinjiang Da Bancheng wind power plant history overhaul data data, statistics are chosen
It is as shown in Figure 4 that tower elevator runs power situation, it is known that the wind power plant tower elevator runs power consumption moment situation, Wind turbines inspection
Tower elevator operation power consumption has focused largely on 4kW hereinafter, i.e. in most cases, synchronization has 3 or less than 3 when repairing
The tower elevator of platform is being run.
When being run using the wind power plant abandonment for tower elevator, due to the randomness of abandonment power, so that the part moment
It is unable to satisfy tower elevator operation energy consumption demand, tracing it to its cause is that individual period wind energy turbine set wind-resources are not good enough, and within the period
When needing to carry out repair and maintenance to Wind turbines, if not having other power supply units in wind power plant, it will the operation of tower elevator is caused to lack
Electric situation occurs, as shown in figure 5, it is found that short of electricity power is up to 3.51kW in data acquisition range, therefore, according to step
(2) the maximum rated discharge power of energy-storage battery can be preset and is set to by building energy-storage system maximum charge-discharge electric power model in
3.51kW.The tower elevator operation short of electricity moment is combined into the abandonment power diagram moment, can substantially know that the wind power plant is chargeable and puts
Electrical power figure is as shown in fig. 6, it is found that part abandonment can be dissolved for the operation of tower elevator, tower elevator operating load maximum work
Rate is 3.51kW, and presetting it is the maximum charge-discharge electric power for configuring energy-storage system.Consider configuration energy-storage battery cost and
In the case where the operation energy consumption for meeting tower elevator, energy-storage system need to be advanced optimized, configure economic and practical energy-storage system.
With wind power plant historical data simulation analysis, as shown in figure 4, the wind power plant tower elevator runs power consumption moment feelings
Condition, tower elevator operation power consumption has focused largely on 4kW hereinafter, i.e. in most cases, with a period of time when Wind turbines overhaul
It is carved with 3 or the tower elevator less than 3 is being run.
Energy consumption calculation when Wind turbines overhaul when tower elevator operation power consumption 4kW
In formula: W is that elevator once runs power consumption, kwh；P power consumption；t1And t2For sampling interval duration
One time operation energy consumption calculates (uplink and downlink is shown as twice)
713 research institute, Zhong Chuan heavy industry group designs the Wind turbines tower elevator items technology ginseng of model TS-240/9
Number is as shown in table 1:
Table 1
Tower elevator once runs power consumption calculating, and (identical by calculating ascending for elevator downlink energy consumption, we are with uplink one
It is secondary to be used as operation energy consumption of tower elevator)
In formula: KfFor tower elevator interior coefficient of energy dissipation；tiFor each stage running time, s；PiEach stage running power；ηd
Motor drive efficiency；SWP is elevator self weight, kg；G is acceleration of gravity, 9.8m/s2；W is that elevator once runs power consumption,
kw·h；η elevator efficiency.
Pass through two formula above
1 ÷, 0.175 ≈ 6 (being equivalent to sampling point moment, about 3 or less than 3 tower elevator operations)
Conclusion: the wind power plant tower elevator runs power consumption moment situation, and tower elevator is run when Wind turbines overhaul
Power consumption has focused largely on 4kW hereinafter, i.e. in most cases, and synchronization has 3 or the tower elevator less than 3 exists
Operation.
Us are established in objective function by PloadFor load power；PqFor abandonment power；WcIt is total for the energy-storage system that is configured
Capacity is brought into multi-goal optimizing function for variable and is solved.Genetic algebra is set as 200, and genetic algebra is practiced by multiple,
Ginseng is adjusted, optimal solution the most suitable is found.
The present invention is used as energy-storage battery using lithium ion battery, using the charge-discharge electric power of energy-storage battery and capacity as change
Amount, with energy-storage system cost is minimum and cylinder elevator runs the minimum target of short of electricity rate, the multiple-objection optimization for being used in NSGA-II is calculated
Method obtains Pareto disaggregation under above-mentioned constraint condition and control strategy, so that optimum results are optimal.Using Matlab software,
Multiple objective function is constrained and is arranged and calls fitness function program, optimizes configuration, as a result as shown in Figure 7.Optimized by Fig. 7
As a result it can be seen that energy storage cost and short of electricity rate can not be optimal simultaneously value.As shown in Fig. 8, Fig. 9 configuration relation, tower elevator
Load short of electricity rate size and energy storage configuration relation tend to inversely prroportional relationship, and energy storage cost then tends to direct ratio with energy storage configuration relation
Relationship.Need to integrate and consider when configuring energy-storage battery cost and load short of electricity rate as a result, table 2 lists part Pareto solution.
Table 2
Two aspect of the wind power plant energy storage installation cost and tower elevator operating load disadvantage rate is comprehensively considered, with reference to power train
System load short of electricity rate is limited in 5% or less situation, when considering that tower elevator load short of electricity rate is lower than 5%, then may be selected full
Economic cost minimum one is used as optimal solution under the conditions of foot, as shown in table 3.
Table 3
As shown in Table 3, when compensating the energy-storage battery of electricity for wind power plant tower elevator arrangement, energy storage charge-discharge electric power
2.35kW, capacity be 3.79kWh be it is optimal, at this time needed for cost be 4.61 ten thousand $, within the scope of data statistics, total load is
171.46kWh, short of electricity load are 61.43kWh, and installation energy-storage system can make the reduction of wind power plant tower elevator operating load short of electricity rate
To 4.75%, load short of electricity rate reduces by 31.07% when than not installing energy-storage system.
The present embodiment is carried out by analysis wind power plant historical data using the thinking of abandonment electricity direct-furnish tower elevator operation
Row demand is analyzed, load short of electricity phenomenon is caused.According to short of electricity situation analysis, set in advance before for tower elevator arrangement energy-storage system
Determining the maximum rated charge-discharge electric power of energy-storage system is 3.51kW, considers the economy of energy-storage system, further excellent using multiple target
Change method optimizes energy-storage battery power and capacity, as can be seen from the results, is unable to reach energy-storage battery cost and tower elevator
Therefore the minimum situation of load short of electricity rate can only consider that selection cost is minimum in the range of peak load short of electricity rate allows
Energy storage configuration, it is found that still there is the part moment to be unable to satisfy the fortune interpretation of result of tower elevator it is found that energy-storage battery configuration power is
2.35kW, capacity is optimal when being 3.79kWh, wind power plant tower elevator operating load short of electricity rate can be made to be reduced to 4.75%, than not
Load short of electricity rate reduces by 31.07% when installing energy-storage system, and required cost is 4.61 ten thousand $.
In conclusion a kind of tower elevator energy-storage system Optimal Configuration Method utilized based on abandonment of the present invention, in load
It is optimal for target with economy under the premise of short of electricity rate is minimum, construct the tower elevator optimal storage minimum based on load short of electricity rate
It can configuration.In order to solve the problems, such as both to guarantee that the minimum load short of electricity rate that meets again of cost is minimum, propose that NSGA-II multiple target is lost
Propagation algorithm optimizes, and by constructing tower elevator operating load short of electricity amount model, constructs the charge and discharge of energy-storage system maximum
Power module constructs energy-storage system economy model, constructs energy-storage system power supply reliability model, and it is flat to introduce energy-storage battery energy
Weigh constraint condition, introduces the Optimal Configuration Method of energy-storage system, solves problems of the prior art, in load short of electricity rate
The economy that tower elevator energy storage configuration is improved under the premise of minimum improves in the range of peak load short of electricity rate allows
The economy of wind power plant reduces the cost of wind power plant tower elevator energy storage configuration.
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 (7)
1. a kind of tower elevator energy-storage system Optimal Configuration Method utilized based on abandonment, which comprises the steps of:
(1) tower elevator operating load short of electricity amount model is constructed；
(2) energy-storage system maximum charge-discharge electric power model is constructed；
(3) energy-storage system economy model is constructed；
(4) energy-storage system power supply reliability model is constructed；
(5) energy-storage battery energy balance constraint condition is introduced；
(6) Optimal Configuration Method of energy-storage system is introduced；
(7) select a solution for meeting condition as allocation optimum according to the actual situation.
2. a kind of tower elevator energy-storage system Optimal Configuration Method utilized based on abandonment according to claim 1, special
Sign is, the step (1) tower elevator operating load short of electricity amount model are as follows:
In formula, EL--- load short of electricity amount, kWh；P1--- load power last moment power, kW；Pq1--- one on abandonment power
Moment power, kW；P2--- load power subsequent time power, kW；Pq2--- abandonment power subsequent time power, kW.
3. a kind of tower elevator energy-storage system Optimal Configuration Method utilized based on abandonment according to claim 1, special
Sign is that the step (2) constructs energy-storage system maximum charge-discharge electric power model are as follows:
PSN=max Δ P (1) ..., Δ P (i) ..., Δ P (N) }
In formula, PSN--- it is the maximum rated power value of energy-storage system, kW；Δ P --- it is in t moment tower elevator power consumption
With the difference of abandonment power, i.e. load short of electricity power, kW.
4. a kind of tower elevator energy-storage system Optimal Configuration Method utilized based on abandonment according to claim 1, special
Sign is that the step (3) constructs energy-storage system economy model are as follows:
minFz=Ftz+Fyy
In formula, Ftz--- energy-storage system cost of investment；Fyy--- the operation expense of energy-storage system；
Wherein, cost of investment:
Ftz=Cm×Cap
In formula, Cm--- the per-unit system cost of stored energy capacitance；Cap--- energy storage total capacity；
Operation expense:
In formula, K1--- storage energy operation cost compromise coefficient；K2--- energy storage unit active power output conversion unit price；Peni--- energy storage
In the active output power at moment；t1、t2--- energy-storage system runing time domain.
5. a kind of tower elevator energy-storage system Optimal Configuration Method utilized based on abandonment, feature according to claim
It is, the step (4) constructs energy-storage system power supply reliability model are as follows:
In formula, n --- the number of sampling points of load power requirement is not able to satisfy in given time period；N --- in given time period
The number of sampling points of all load powers；Pload--- load power；Pq--- abandonment power.
6. a kind of tower elevator energy-storage system Optimal Configuration Method utilized based on abandonment according to claim 1, special
Sign is that the step (5) introduces energy-storage battery energy balance constraint condition are as follows:
State-of-charge constraint:
SOCmin≤ SOC (t)=ES/ESN≤SOCmax
Charge-discharge electric power constraint:
-PS_cmax≤PS(t)≤PS_dmax
The constraint of energy-storage battery energy balance:
Initial energy storage:
E (0)=C
In formula, SOCmaxAnd SOCmin--- the upper and lower bound state-of-charge of energy-storage battery；ES(t)、ESN--- energy-storage battery is in t
The energy and rated capacity at moment；ES(t)/ESN--- state-of-charge of the energy-storage battery in t moment；PS_cmax、PS_dmax--- energy storage
The maximum charge power and maximum discharge power of battery；ESC、ESd--- charge and discharge energy of the energy-storage battery in t moment；ηc、
ηd--- the efficiency for charge-discharge of energy-storage battery all takes 0.9.
7. a kind of tower elevator energy-storage system Optimal Configuration Method utilized based on abandonment according to claim 1, special
Sign is that the step (6) introduces the Optimal Configuration Method of energy-storage system are as follows:
It carries out solving a multiple target using the multi-goal optimizing function Gamultiobj based on the non-dominant genetic algorithm of NSGA-II
Solve problems, the multiple target Solve problems are to meet under setting constraint condition, and control decision variable makes more in feasible zone
A target tends to optimal problem,
In formula: fi(x) --- optimization object function；M --- equality constraint number；K --- inequality constraints number.
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