CN104283225A - Wind farm operation control device and method - Google Patents
Wind farm operation control device and method Download PDFInfo
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- CN104283225A CN104283225A CN201310283851.7A CN201310283851A CN104283225A CN 104283225 A CN104283225 A CN 104283225A CN 201310283851 A CN201310283851 A CN 201310283851A CN 104283225 A CN104283225 A CN 104283225A
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- 238000013480 data collection Methods 0.000 claims 1
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Classifications
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- H02J3/386—
-
- 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
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/28—Arrangements for balancing of the load in a network by storage of energy
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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
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
- H02J3/46—Controlling of the sharing of output between the generators, converters, or transformers
-
- 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
- H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
- H02J2203/20—Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E10/00—Energy generation through renewable energy sources
- Y02E10/70—Wind energy
- Y02E10/76—Power conversion electric or electronic aspects
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E70/00—Other energy conversion or management systems reducing GHG emissions
- Y02E70/30—Systems combining energy storage with energy generation of non-fossil origin
Abstract
The invention provides a wind farm operation control device which can maximize the output of a wind farm and can reduce losses caused by power limitation and wind curtailment. The wind farm operation control device comprises a data collecting unit, an energy storage system safety allowance calculating unit and a power generating model setting unit. The data collecting unit collects wind power generating historical data in a wind power generating system and energy storage information of an energy storage system, and the energy storage system is the standby power capacity of the wind power generating system and is used for compensating for wind power prediction errors. The energy storage system safety allowance calculating unit is used for calculating the needed energy storage capacity of the energy storage system when the energy storage system compensates for the wind power prediction errors through the collected wind power generating historical data and the collected energy storage information, and the energy storage capacity serves as the safety allowance. The power generating model setting unit is used for establishing a wind power generating prediction model according to the wind power generating historical data, and the difference between the current capacity of the energy storage system and the safety allowance is regarded as part of the output of the wind power generating system in a specified cycle to adjust the wind power generating prediction model.
Description
Technical field
Relate to a kind of wind energy turbine set operating control device based on battery energy storage system and wind energy turbine set progress control method herein, particularly comprise the wind energy turbine set operating control device and the wind energy turbine set progress control method that compensate the battery allowance estimation that wind-force predicated error is target.
Background technology
In recent years, along with wind-powered electricity generation is fast-developing, wind-powered electricity generation installation proportion in electrical network improves constantly.In wind power generation field, because the randomness of wind power output, intermittence, fluctuation and scheduling property are poor, the impact of wind-electricity integration on the quality of power supply and power system operation safety also will be more outstanding.
For ensureing that power system safety and stability runs, National Energy Board has issued " wind park power prediction forecast management Tentative Measures ", main contents are the ability that all wind parks be incorporated into the power networks of requirement all should possess wind power prediction forecast on the one hand, and carry out wind power prediction forecast on request, require the power prediction result that dispatching of power netwoks mechanism should transmit according to wind park on the other hand, according to the principle of priority scheduling wind-powered electricity generation, establishment wind park generation schedule, and circulate a notice of to wind park in time." Tentative Measures " are pointed out, on the basis ensureing electric power netting safe running, the power prediction result reported according to wind energy turbine set in principle assigns wind park generation schedule.As operation of power networks suffers restraints, dispatching of power netwoks mechanism can adjust wind energy turbine set generation schedule.Grid connected wind power factory should perform the daily trading planning curve and dispatch command that dispatching of power netwoks assigns, and adjusts wind power output in time.In " Tentative Measures ", performance assessment criteria has been formulated to wind farm power prediction forecast simultaneously.
In this context, wind power prediction produces important impact by the safe and stable operation of electric power system and economic dispatch mode.The uncertainty of predicated error can cause surplus or the disappearance of wind power in scheduling process, also correspondingly brings the waste of system capacity or the lifting of risk.For making reliability level and economy level remain in the scope of system requirements, a certain proportion of reserve capacity of configuration must be added.
Although Chinese scholars have done a large amount of correlative study work to wind energy prediction at present, the prediction level of output of wind electric field has still been difficult to meet wind power prediction requirement to a great extent.
Along with the quick growth of China's wind power generation installation, the wind problem of rationing the power supply of abandoning in some areas is also on the rise.In the investigation of the wind energy committee, within 2011, the whole nation has 10,000,000,000 kilowatt hour left and right wind-powered electricity generation electricity to be abandoned, and wherein ration the power supply in Gansu, and to abandon wind ratio the highest, and reach 25.25%, the Inner Mongol and Jilin following closely, are respectively 23.10% and 21.02%.Obviously, participation peak load regulation network and rationed the power supply " abandoning wind " bring huge economic loss to wind-powered electricity generation enterprise and cause the waste of the energy.How effectively to utilize wind resource, and to improve power grid wind electricity digestion capability be problem in the urgent need to address at present.
At patent documentation 1(CN102570505A) in, disclose a kind of battery energy storage system control method for wind-powered electricity generation part peak load shifting.Specifically, based on battery energy storage system and in conjunction with the ultra-short term prediction method of wind power, part peak load shifting is carried out by exporting wind-powered electricity generation, wind is stored up synthesize in certain bandwidth range that activity of force remains on centered by 4 hours ultrashort-term wind power prediction data weighted averages, thus reduce the deviation of wind-powered electricity generation real output and predicted power level, reduce the pressure that wind-electricity integration brings electric power system peak-frequency regulation.
But, in the method for above patent documentation 1, only considered by ultra-short term PREDICTIVE CONTROL energy-storage system to reduce the error of wind power prediction, and do not consider the maximized problem of output of wind electric field, therefore, there is the waste problem of resource, and then impact is existed on the factor of wind energy turbine set economic benefit.Meanwhile, output of wind electric field ovrrunning risk problem is not considered yet.
Summary of the invention
The present invention completes in view of above problem, its object is to provide one that output of wind electric field not only can be made to maximize, and can reduce the wind energy turbine set operating control device and wind energy turbine set progress control method of abandoning the loss that wind brings owing to rationing the power supply.
Another object of the present invention is to provide a kind of output of wind electric field not only can be made to maximize but also wind energy turbine set operating control device and the wind energy turbine set progress control method of output of wind electric field ovrrunning risk can be reduced.
One of technical scheme of the present invention is a kind of wind energy turbine set operating control device, comprise: data acquisition unit, wind power generation historical data in collection wind generator system and the accumulation of energy information of energy-storage system, this energy-storage system is the non-firm power capacity of wind generator system, for compensating wind-powered electricity generation predicated error, energy-storage system safety allowance computing unit, utilize the above-mentioned wind power generation historical data and above-mentioned accumulation of energy information that gather, the accumulation of energy capacity that calculating energy-storage system needs when compensating wind-powered electricity generation predicated error is as safety allowance; And generation model setup unit, wind power generation forecast model is set up according to above-mentioned wind power generation historical data, and using the difference of the current capacities of above-mentioned energy-storage system and above-mentioned safety allowance as a part of exerting oneself for the wind generator system in specified period, adjust above-mentioned wind power generation forecast model.
According to this technical scheme, by effectively utilizing the safety allowance of energy-storage system, wind energy turbine set prediction can be improved and to exert oneself the upper limit, thus realize exerting oneself of wind energy turbine set when actual motion and maximize and output of wind electric field ovrrunning risk can not be increased.
The present invention also can be, when utilizing the discharge and recharge of above-mentioned wind power generation forecast model to energy-storage system to control, energy-storage system safety allowance computing unit also calculates the safety allowance on each time point, above-mentioned wind energy turbine set operating control device also has operation control unit, above-mentioned operation control unit utilizes the safety allowance of each above-mentioned time point, the discharge and recharge of real-time adjustment energy-storage system, making the wind of wind energy turbine set store up sum of exerting oneself becomes in prescribed limit.
According to this technical scheme, by utilizing the safety allowance of energy-storage system run duration, the discharge and recharge of energy-storage system is adjusted, thus can output of wind electric field maximized minimizing simultaneously output of wind electric field ovrrunning risk be made.
In conjunction with wind farm power prediction and energy-storage system residual capacity setting generation schedulecurve in the present invention, make wind storage synthesize activity of force by control energy-storage system remains within the scope of generation schedule power certain error simultaneously, and the deviation reducing wind-powered electricity generation real output and unscheduled power specifies to meet dispatching management.The present invention efficiently utilizes wind resource and energy-storage system, output of wind electric field not only can be made to maximize, the economic loss that wind brings is abandoned in minimizing owing to rationing the power supply, consider cell safety tolerances simultaneously, greatly reduce again in wind energy turbine set running ovrrunning risk of exerting oneself.
Accompanying drawing explanation
Fig. 1 is the structured flowchart of the windfarm system that relates to of the first execution mode of the present invention and wind energy turbine set operating control device wherein.
Fig. 2 (A) and Fig. 2 (B) is schematic diagram when utilizing normal distribution method computationally secure allowance.
Fig. 3 (A) and Fig. 3 (B) represents the schematic diagram adjusted generation schedulecurve.
Fig. 4 is that the wind energy turbine set that the first execution mode of the present invention relates to runs the flow chart controlled.
Fig. 5 is the structured flowchart of the windfarm system that relates to of the second execution mode of the present invention and wind energy turbine set operating control device wherein.
Fig. 6 is that the wind energy turbine set that the second execution mode of the present invention relates to runs the flow chart controlled in real time.
Embodiment
The preferred embodiment of the present invention is described in detail below in conjunction with accompanying drawing.
(the first execution mode)
Fig. 1 is the structured flowchart of the windfarm system that relates to of the first execution mode of the present invention and wind energy turbine set operating control device wherein.
As shown in Figure 1, the windfarm system in conjunction with energy storage type comprises wind energy turbine set 101, wind power forecasting system 102, power-management centre 103, battery energy storage system 104, database 10, energy storage control device 2 and wind energy turbine set operating control device 1.
Wherein, wind energy turbine set 101 is the power plants utilizing wind-force to produce electric power, exports wind power.Unshowned data acquisition mechanism is housed in wind energy turbine set to gather wind power data.
Wind power forecasting system 102 has the function predicted wind power, analysis and prediction can be carried out to wind energy turbine set generated output in certain running time in advance according to the parameter such as meteorological condition, statistical law, set up wind power generation forecast model, namely wind power prediction data are provided.
Here, be described for the form that the forecast model that generates electricity is wind power prediction curve, but the form of expression of wind power does not limit, and can use the form of various forecast model.In addition, the method for building up of wind power generation forecast model can use existing various wind power prediction modeling method, therefore, omits detailed description here.
Power-management centre 103 is ensure the safety of electrical network, high-quality, economical operation and the mechanism that organizes operation of power networks, command, instruct and coordinate.Wind energy turbine set 101 reports power prediction result to power-management centre 103 as requested.Power-management centre 103 is on the basis ensureing electric power netting safe running, and the power prediction result reported according to wind energy turbine set 101 in principle assigns wind energy turbine set generation schedule.As operation of power networks suffers restraints, power-management centre 103 can adjust generation schedule.
Battery energy storage system 104 is the non-firm power capacity in wind generator system, for compensating wind-powered electricity generation predicated error.Here, battery energy storage system 104 comprises: storage battery, battery management system (BMS), electric power coversion system (PCS) and central control system (not shown).BMS can collect the state-of-charge (State of Charge, i.e. SOC) of battery pack, i.e. battery dump energy.PCS can realize carrying out management of charging and discharging to storage battery according to control strategy.
Energy storage control device 2, at wind energy turbine set run duration, controls energy-storage system according to the prediction data of wind energy turbine set generating and carries out discharge and recharge, compensate the deviation between wind energy turbine set actual power generation and prediction data.Control for energy-storage system can adopt existing control method.Such as, when wind-powered electricity generation forecast model is wind power prediction curve, energy storage control device 2 is according to the dump energy of plan generated output, wind power output power and the energy-storage system shown in wind-powered electricity generation prediction curve, calculate energy-storage system charge-discharge electric power, synthesize the error of exerting oneself and between the generation schedule power shown in wind-powered electricity generation prediction curve to reduce wind storage, make this error in the permissible range of regulation.
In addition, in present embodiment, battery energy storage system 104 utilizes storage battery to carry out the discharge and recharge of electric power as energy storage.But other stable power supply also can be utilized as energy-storage system, such as battery, there is the electric capacity etc. of energy-storage function, also can other links as the energy-storage system supplemented wind energy turbine set by the power supply that such environmental effects is little with thermal power generation field of stable electric generation etc.
The module of database 10 store and management data, can be made up of memory, is used for the data of various piece collection in store and management windfarm system and needs, and facilitates the data sharing between each module and call.
The data category that wherein can store in database roughly comprises:
Image data: wind-powered electricity generation predicted power
wind power output power
scheduling sends the generated output upper limit of instruction of rationing the power supply
battery dump energy SOC
(k).
Primary data: generation schedule reports period of time T, temporal resolution △ t, wind park power to forecast permissible error a%, battery energy storage system nominal capacity Qr, residual capacity SOC maximum SOC
maxwith minimum value SOC
min, maximum discharge power
with maximum charge power P
dischargemax.
Calculated data: cell safety allowance SOC
0, plan generated output
battery charging and discharging power
(control module).
Wind energy turbine set operating control device 1 of the present invention is by adjusting wind power generation forecast model thus the device controlled the operation of windfarm system, specifically, initial value setting module 20, cell safety allowance computing module 30 and generation schedulecurve setting module 40 is comprised.
Initial value setting module 20 for gathering the accumulation of energy information of wind power generation historical data in wind generator system and battery energy storage system 104, as system initial value.As long as the parameter used required for the safety allowance of these system initial value calculating accumulators.
In present embodiment, comprise generation schedule and report period of time T, sampling time resolution △ t, wind park power to forecast permissible error a%, battery energy storage system nominal capacity Qr, battery remaining power restriction maximum SOC
maxwith minimum value SOC
min, maximum discharge power P
dischargemaxwith maximum charge power P
chargemax.
Wherein, period of time T is reported about generation schedule, can set according to " the wind park power prediction forecast management Tentative Measures " of China, if short-period forecast is then 24 hours i.e. 96 timing nodes, if ultra-short term forecast is then 4 hours, i.e. 16 timing nodes (resolution is 15 minutes).That is, during short-period forecast, T=24h, △ t=0.25h, ultra-short term gives the correct time T=4h, △ t=0.25h in advance.
Certainly, if there is other standards, also initial value can be set in accordance with other standards.
Cell safety allowance computing module 30 utilizes system initial value, calculates the safety allowance that battery energy storage system 104 is required when compensating wind-powered electricity generation predicated error.
Specifically, cell safety allowance computing module 30 is estimated to compensate the cell safety allowance that wind-powered electricity generation predicated error is target, to estimate when compensating wind energy turbine set predicated error the capacity that at least needs as cell safety allowance.
Such as when utilizing normal distribution method computationally secure allowance, cell safety allowance computing module 30 is by the wind power prediction data of wind energy turbine set historical statistics in database 10
with wind energy turbine set real output P
(k), calculate to compensate the battery allowance SOC that wind-force predicated error is target
0.
Fig. 2 (A) and Fig. 2 (B) is schematic diagram when utilizing normal distribution method computationally secure allowance.Dotted line in Fig. 2 (A) represents wind power prediction curve, and the solid line in Fig. 2 (A) represents the actual curve of output of wind energy turbine set, and dash area is real output when being less than predicted power continuously, and energy-storage system needs the total electricity P compensated
i.Fig. 2 (B) represents the compensation power probability distribution curve f (P) needed for wind-force predicated error.
Make Δ P
(k)for the deviation between k sampled point real output and predicted power, P
ifor real output be less than predicted power continuously time, energy-storage system need compensate total electricity, then
According to formula (1) with formula (2) tries to achieve average μ and standard deviation sigma is respectively:
The compensation power probability distribution of then being tried to achieve needed for wind-force predicated error by formula (3) is
By the principle of normal distribution, [μ-3 σ, μ+3 σ] interval inner area accounts for all 99.74%, thus, choose in theory just can to meet when battery remaining power is μ+3 σ when wind energy turbine set is actual go out force value be less than predicted value time, energy storage system discharges gives the situation of full remuneration.Consider that battery energy storage system SOC can not lower than SOC
min, calculating cell safety allowance is
Here, calculate energy storage battery and will compensate the minimum allowance that wind-force exerts oneself needed for predicated error, but also can from the angle of safety to result of calculation additional safety factor as safety allowance.
In addition other algorithms also can be utilized to calculate the safety allowance of energy-storage system.Such as also can utilize through power-management centre 103 adjusted wind power prediction model computationally secure allowance.
In addition, also can for the wind power prediction data of wind energy turbine set historical statistics
with wind energy turbine set real output P
(k)between the statistics of deviate, do not use normal distribution but calculate safety allowance with other predicted value inductive methods.
And then, in the less demanding situation of precision of prediction, partial history data or experience also can be used to derive or directly input safety allowance.
Also can according to the running environment etc. of wind energy turbine set, using based on running environment similar, battery allowance that the data of certain specific time point in historical data calculate is as safety allowance.
Generation schedulecurve setting module 40 sets up wind power generation forecast model according to wind power generation historical data, and using the current capacities of energy-storage system and the difference of safety allowance as a part of exerting oneself for the wind generator system in specified period, adjust wind power generation forecast model.
Here, be described if wind power generation forecast model is generation schedulecurve.Specifically, generation schedulecurve setting module 40 sets generation schedulecurve and reports in the stipulated time by control centre's requirement.
During setting Plan Curve, generation schedulecurve setting module 40 using current capacities and the difference of safety allowance as the part of output of wind electric field, that is, battery capacity (also can be negative) outside safety allowance is combined with the capacity that wind-powered electricity generation is predicted and considers, in the impact that generating curve embodiment remaining battery capacity exports wind energy turbine set.Such as, according to battery initial state SOC
start, cell safety allowance SOC
0, wind-powered electricity generation predicted power
calculate plan generated output curve
battery initial state is made to be present battery status, i.e. SOC
start=SOC
(k).Thus plan generated output computing formula is following formula (6):
In formula (6), in the result drawn and the wind-powered electricity generation predicted power of the modeling method based on existing generation schedulecurve
basis on, the compensation power when difference having added current capacities and safety allowance is distributed in cycle T, that is by battery initial state SOC
startwith cell safety allowance SOC
0difference as virtual battery condition.
Fig. 3 (A) and Fig. 3 (B) represents the schematic diagram adjusted generation schedulecurve.As shown in Figure 3, according to the generation schedulecurve that existing modeling method is set up according to real battery capacity during the curve that solid line represents, such with battery initial state SOC according to formula of the present invention (6) during the curve that dotted line represents
startwith cell safety allowance SOC
0difference as the generation schedulecurve set up during battery capacity.
As shown in Fig. 3 (A), work as SOC
start > SOC
0time, think unnecessary for battery electricity to be distributed in control cycle T and carry out multiple electricity, therefore corresponding wind-powered electricity generation predicted power curve of raising is as plan generated output curve.
In addition, as shown in Fig. 3 (B), SOC is worked as
start < SOC
0time, supplementary capacity is negative, is equivalent to force down wind-powered electricity generation predicted power curve as plan generated output curve, the part generate electricity amount of wind energy turbine set is charged to battery, makes battery electric quantity can reach safety allowance SOC
0.
Here wind-powered electricity generation Plan Curve is adjusted according to the difference of battery initial capacity and cell safety allowance.In addition, SOC is worked as
start=SOC
0time, generation schedulecurve is existing wind-powered electricity generation prediction curve.
Fig. 4 is that the wind energy turbine set that the first execution mode of the present invention relates to runs the flow chart controlled.
First, in step s 201, initial value setting module 20 gathers the accumulation of energy information of wind power generation historical data in wind generator system and battery energy storage system 104, as system initial value.As long as the parameter used required for the safety allowance of these system initial value calculating accumulators.
Then, enter step S202, the system initial value that cell safety allowance computing module 30 utilizes initial value setting module 20 to gather, calculates battery energy storage system 104 to compensate wind-powered electricity generation predicated error for safety allowance during target according to normal distribution method described above.And move to step S203.
In step S203, generation schedulecurve setting module 40 sets up windage scale tracing according to wind power generation historical data, when the safety allowance of battery is higher than present battery capacity, reduce windage scale tracing, wind energy turbine set is predicted a part of the exerting oneself capacity as storage battery.When the safety allowance of battery is lower than present battery capacity, improves windage scale tracing, the surplus capacity of storage battery is predicted a part of exerting oneself as wind energy turbine set, thus the predicted value of output of wind electric field can be improved.
By above process, wind-powered electricity generation prediction curve is adjusted, thus energy storage control device 2 can utilize adjustment after wind-powered electricity generation prediction curve carry out the control of energy-storage system as mentioned above, synthesize the error of exerting oneself and between the generation schedule power shown in wind-powered electricity generation prediction curve to reduce wind storage, make this error in the permissible range of regulation.
In addition, here the force compensating that dopes that the difference of the capacity of storage battery and safety allowance is directly evenly distributed in cycle T is illustrated, but, what also a part for the difference of the capacity of storage battery and safety allowance can be evenly distributed in cycle T dopes force compensating, further, can not even according to the differentiation between the actual electricity consumption time yet but adjust windage scale tracing or wind-force predicted power in each time point otherness.
By utilizing the safety allowance of energy-storage system run duration like this, the generating prediction of wind energy turbine set is adjusted, thus can output of wind electric field maximized minimizing simultaneously output of wind electric field ovrrunning risk be made.
(the second execution mode)
In the first embodiment, in generation schedulecurve setting module 40, wind-powered electricity generation prediction curve is adjusted, thus at wind energy turbine set run duration, energy storage control device 2 controls energy-storage system according to the wind-powered electricity generation prediction curve after adjustment, compensates wind energy turbine set predicated error.
But when wind-powered electricity generation electricity generation system is run, As time goes on, actual cell safety allowance and current battery capacity are not the initial allowance of battery, but the state changed at any time,
In this second embodiment, identical with the first execution mode in the setting process of wind-powered electricity generation prediction curve, the action of wind energy turbine set operating control device 1 is identical with the first execution mode, the difference of the second execution mode and the first execution mode is, in wind energy turbine set running, also consider that the safety allowance of storage battery controls the output of energy-storage system in real time, wherein, replace the energy storage control device 2 in windfarm system, and in wind energy turbine set operating control device 1, also have real-time control module 50, and there is change in the action of cell safety allowance computing module 30a.
In addition, in this second embodiment, give identical label to the part identical with the first execution mode, and omit detailed description.
Fig. 5 is the structured flowchart of the windfarm system that relates to of the second execution mode of the present invention and wind energy turbine set operating control device wherein.
As shown in Figure 5, the wind energy turbine set operating control device 1 of present embodiment comprises initial value setting module 20, cell safety allowance computing module 30a, generation schedulecurve setting module 40 and real-time control module 50.
Wherein, initial value setting module 20, cell safety allowance computing module 30a, generation schedulecurve setting module 40 make as mentioned above according to battery safety allowance adjustment after generation schedulecurve (wind-powered electricity generation prediction curve), and, when carrying out wind storage according to this generation schedulecurve and exerting oneself, in the process that energy-storage system is controlled, also consider cell safety tolerances.
Therefore, cell safety allowance computing module 30a is except the computationally secure allowance when formulating wind-powered electricity generation plan, also when the discharge and recharge utilizing generation schedulecurve to energy-storage system controls, calculate the storage battery safety allowance on each time point in the wind power generation cycle of operation.
For the Plan Curve of the cycle of operation shown in Fig. 3, if need the cell safety allowance of node k computing time
storage battery safety allowance on this node k calculates according to following formula (7):
Real-time control module 50 utilizes the safety allowance of each above-mentioned time point, in real time the discharge and recharge of adjustment energy-storage system, and making the wind of wind energy turbine set store up sum of exerting oneself becomes in prescribed limit.
When real-time control module 50, the method for carrying out the charge point of energy-storage system according to the generation schedulecurve after changing again can be changed to generation schedulecurve and carry out according to real-time.
Also by the flow process be illustrated in fig. 6 shown below, relatively can be carried out by the data of carrying out on each time point.Specifically, real-time control module 50 is according to the wind power output power P of initial value setting module 20 Real-time Collection
(k), battery dump energy SOC
(k), plan generated output
the k sampled point cell safety allowance fiducial value that wind park power prediction error a% and cell safety allowance computing module 30a calculates
calculate battery charging and discharging power
meet wind storage synthesis in consideration to exert oneself and generation schedule power
error condition under, by control SOC value of battery to reduce in wind energy turbine set running ovrrunning risk of exerting oneself.
Fig. 6 is that the wind energy turbine set that the second execution mode of the present invention relates to, real-time control module 50 performs runs the flow chart controlled in real time.As shown in Figure 6, if
for current time meets the minimum power of precision index,
for meeting the maximum power of precision index.
When wind energy turbine set is run, in step S501, order
Enter step S502.
In step S502, if receive instruction of rationing the power supply, then judge the generated output upper limit
with
relation,
time (step S502: yes), order
and enter step S503; Otherwise directly enter step S503.
In step S503, judge P
(k)with
relation,
time (step S503: yes), be judged as that needs are rationed the power supply, thus enter step S504, otherwise enter step S507.
In step S504, judge SOC further
(k)with
relation,
time (step S504: yes), enter step S505, otherwise enter step S506.
In step S505, judge
with P
chargemaxrelation,
time, setting battery charge power
otherwise setting battery charge power
at the complete battery charge power of setting
afterwards, process A is all entered.
In addition, in step S506, judge
with P
chargemaxrelation,
time, setting battery charge power
otherwise setting battery charge power
at the complete battery charge power of setting
afterwards, process A is all entered.
In addition, in step S507, P is judged
(k)with
with
the relation of three.?
time, enter step S508, otherwise enter step S511.
In step S508, judge SOC equally
(k)with
relation,
time (step S508: yes), enter step S509, otherwise enter step S510.
In step S509, judge
with P
dischargemaxrelation,
time (step S509: yes), setting battery discharge power
otherwise setting battery discharge power
enter step S514.
Step S510 judges
with P
chargemaxrelation: if
setting battery charge power
otherwise setting battery charge power
at the complete battery charge power of setting
afterwards, process A is all entered.
In step S511, judge SOC
(k)with
relation,
time (step S511: yes), enter step S512, otherwise enter step S513.
In step S512, judge
with P
dischargemaxrelation,
time, setting battery discharge power
otherwise setting battery discharge power
at the complete battery charge power of setting
afterwards, process A is all entered.
In step S513, judge
with P
dischargemaxrelation,
time, setting battery discharge power
otherwise setting battery discharge power
at the complete battery charge power of setting
afterwards, process A is all entered.
Process A is determining battery charge power
afterwards for ensureing that the capacity of storage battery can not the too small and deterministic process of carrying out.Process A starts corresponding to step S514.
In step S514, judge
with 0 relation, if
enter step S515, otherwise enter step S516.
SOC and SOC is judged in step S515
minrelation, at SOC > SOC
mintime, control battery energy storage system electric discharge
otherwise battery energy storage system electric discharge stops.
SOC and SOC is judged in step S516
maxrelation, at SOC < SOC
maxtime, control battery energy storage system charging
otherwise battery energy storage system charging stops.
By comparing each image data and wind-powered electricity generation prediction data in the flow process shown in Fig. 6, object is to make exerting oneself of wind power generation meet the error range of wind-powered electricity generation prediction data with the sum of exerting oneself of accumulating system.Thus while reaching raising precision of prediction, save the effect of ability as far as possible.
That is, the real-time control of wind power system is not limited in the flow chart of Fig. 6, the order judged can be changed during judgement whether in error range, or omit the judgement of some index.
As long as differential capacity the exerting oneself for wind energy turbine set that the storage battery safety allowance calculated in real time makes between current battery capacity and safety allowance can be utilized, just the present invention can be suitable for.
Above, describe embodiments of the present invention, but above-mentioned execution mode is pointed out as an example, and do not mean that restriction scope of invention.Above-mentioned execution mode can be implemented with other various forms, can carry out various omission, replacement, change, adds in the scope of purport not departing from invention.In addition, in the technical scope that above-mentioned execution mode and distortion thereof are included in invention and purport, and in the scope of the invention be included in described in claims and its equivalence.
Such as, namely the various piece in the wind energy turbine set operating control device in the present invention can be realized by the hardware circuit with corresponding function, can perform the program describing corresponding function realize by computer.And namely corresponding program can load in the storage medium (ROM or storage part) of embodied on computer readable in advance provides, also the Internet communication such as LAN or internet or download can be passed through.
Claims (12)
1. a wind energy turbine set operating control device, is characterized in that,
Comprise:
Data acquisition unit, the wind power generation historical data in collection wind generator system and the accumulation of energy information of energy-storage system, this energy-storage system is the non-firm power capacity of wind generator system, for compensating wind-powered electricity generation predicated error,
Energy-storage system safety allowance computing unit, utilizes the above-mentioned wind power generation historical data and above-mentioned accumulation of energy information that gather, and the accumulation of energy capacity that calculating energy-storage system needs when compensating wind-powered electricity generation predicated error is as safety allowance; And
Generation model setup unit, wind power generation forecast model is set up according to above-mentioned wind power generation historical data, and using the difference of the current capacities of above-mentioned energy-storage system and above-mentioned safety allowance as a part of exerting oneself for the wind generator system in specified period, adjust above-mentioned wind power generation forecast model.
2. wind energy turbine set operating control device according to claim 1, is characterized in that,
Above-mentioned wind power generation forecast model is windage scale tracing,
When the current capacities of above-mentioned energy-storage system is greater than above-mentioned safety allowance, generation model setup unit raises windage scale tracing, thus the prediction improving wind power generation exports, when the current capacities of above-mentioned energy-storage system is less than above-mentioned safety allowance, generation model setup unit forces down windage scale tracing, thus the prediction reducing wind power generation exports.
3. wind energy turbine set operating control device according to claim 1, is characterized in that,
When utilizing the discharge and recharge of above-mentioned wind power generation forecast model to energy-storage system to control, energy-storage system safety allowance computing unit also calculates the safety allowance on each time point,
Above-mentioned wind energy turbine set operating control device also has operation control unit, and above-mentioned operation control unit utilizes the safety allowance of each above-mentioned time point, in real time the discharge and recharge of adjustment energy-storage system, and making the wind of wind energy turbine set store up sum of exerting oneself becomes in prescribed limit.
4. wind energy turbine set operating control device according to claim 3, is characterized in that,
The current capacities of certain time point more above-mentioned energy-storage system of above-mentioned operation control unit at wind energy turbine set run duration and the difference of the safety allowance of this time point, the wind-force be added as new of this difference and the current wind of wind energy turbine set being exerted oneself is exerted oneself, exert oneself based on this new wind-force and adjust the discharge and recharge of energy-storage system on this time point, making the wind of wind energy turbine set store up sum of exerting oneself becomes in prescribed limit.
5. wind energy turbine set operating control device according to claim 1, is characterized in that,
Above-mentioned energy-storage system safety allowance computing unit utilizes the deviation statistics between wind power prediction data in wind power generation historical data and wind energy turbine set real output, calculates the energy-storage system capacity required when compensate typical value as safety allowance.
6. wind energy turbine set operating control device according to claim 1, is characterized in that,
Above-mentioned energy-storage system is battery energy storage system.
7. a wind energy turbine set progress control method, is characterized in that,
Comprise:
Data collection steps, the wind power generation historical data in collection wind generator system and the accumulation of energy information of energy-storage system, this energy-storage system is the non-firm power capacity of wind generator system, for compensating wind-powered electricity generation predicated error,
Energy-storage system safety allowance calculation procedure, utilizes the above-mentioned wind power generation historical data and above-mentioned accumulation of energy information that gather, and the accumulation of energy capacity that calculating energy-storage system needs when compensating wind-powered electricity generation predicated error is as safety allowance; And
Generation model setting procedure, wind power generation forecast model is set up according to above-mentioned wind power generation historical data, and using the difference of the current capacities of above-mentioned energy-storage system and above-mentioned safety allowance as a part of exerting oneself for the wind generator system in specified period, adjust above-mentioned wind power generation forecast model.
8. wind energy turbine set progress control method according to claim 7, is characterized in that,
Above-mentioned wind power generation forecast model is windage scale tracing,
In generation model setting procedure, when the current capacities of above-mentioned energy-storage system is greater than above-mentioned safety allowance, raise windage scale tracing, thus the prediction improving wind power generation exports, when the current capacities of above-mentioned energy-storage system is less than above-mentioned safety allowance, force down windage scale tracing, thus the prediction reducing wind power generation exports.
9. wind energy turbine set progress control method according to claim 7, is characterized in that,
When utilizing the discharge and recharge of above-mentioned wind power generation forecast model to energy-storage system to control, also calculate the safety allowance on each time point,
Also have operation rate-determining steps, utilize the safety allowance of each above-mentioned time point, in real time the discharge and recharge of adjustment energy-storage system, making the wind of wind energy turbine set store up sum of exerting oneself becomes in prescribed limit.
10. wind energy turbine set progress control method according to claim 9, is characterized in that,
In operation rate-determining steps, in the current capacities of the more above-mentioned energy-storage system of certain time point of wind energy turbine set run duration and the difference of the safety allowance of this time point, the wind-force be added as new of this difference and the current wind of wind energy turbine set being exerted oneself is exerted oneself, exert oneself based on this new wind-force and adjust the discharge and recharge of energy-storage system on this time point, making the wind of wind energy turbine set store up sum of exerting oneself becomes in prescribed limit.
11. wind energy turbine set progress control methods according to claim 7, is characterized in that,
In energy-storage system safety allowance calculation procedure, utilize the deviation statistics between wind power prediction data in wind power generation historical data and wind energy turbine set real output, calculate the energy-storage system capacity required when compensate typical value as safety allowance.
12. wind energy turbine set progress control methods according to claim 7, is characterized in that,
Above-mentioned energy-storage system is battery energy storage system.
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