CN104184158A - Energy storage system control method and control device - Google Patents
Energy storage system control method and control device Download PDFInfo
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- CN104184158A CN104184158A CN201310198453.5A CN201310198453A CN104184158A CN 104184158 A CN104184158 A CN 104184158A CN 201310198453 A CN201310198453 A CN 201310198453A CN 104184158 A CN104184158 A CN 104184158A
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Abstract
According to the invention, an energy storage system control method used for a renewable energy power generation system capable of being grid-connected to an electric power system is provided. The method comprises the following steps that a current power value of power generated by the renewable energy power generation system is acquired; whether the acquired current power value surpasses a limit power instruction value is judged; an energy storage system is started to follow the limit power instruction value under the situation that the acquired current power value surpasses the limit power instruction value and the energy storage system is normal; and the energy storage system is started to smoothen total output power of the system under the situation that the acquired current power value does not surpass the limit power instruction value and the energy storage system is normal, wherein total output power of the system is the sum of power of the renewable energy power generation system and power of the energy storage system.
Description
Technical field
The present invention relates to the operation of renewable energy power generation, particularly, relate to a kind of for can be grid-connected to control method and the control device of the energy-storage system of the renewable energy system of electric power system, compared with prior art, realizing under identical stabilisation output effect, can make energy-storage system discharge and recharge power and reduce, make its capacity not out-of-limit simultaneously.
Background technology
Along with the development of human society; electricity generation system capacity is increasing; conventional Power Generation Mode is firepower (coal or oil) generating and hydroelectric power generation; and along with the day by day exhausted and raising of the mankind to environmental protection attention degree of traditional energy; be subject to increasing attention and research taking wind energy, solar energy as the renewable energy power generation of representative, the ratio that renewable energy power generation accounts for gross generation and net capacity increases day by day.
Electric power system has very high requirement to the stability of frequency and voltage, this stability is to be realized by the coupling of generate output and load capacity, due to the uncontrollability of load, the stable of electric power system is that on the basis of being detected at load by grid dispatching center, real-time control and the planned dispatching to electricity generation system realizes.Conventional power generation systems can meet the control requirement of dispatching of power netwoks.
Compared with conventional Power Generation Mode, the maximum feature of renewable energy power generation is the time variation of its energy output, and the reason of this time variation is to bring as the variation of motive natural weather.This feature has problems dispatching of power netwoks when renewable energy power generation is controlled.Larger regenerative resource access capacity, it is strong that generated output changes Shaoxing opera, and the stabilization of power grids is had to larger impact.When serious, can cause protection system tripping operation, over-voltage breakdown, rotating machinery abnormal etc.
In order to meet the stability requirement of electrical network, various countries have proposed regenerative resource access electrical network standard separately, the necessary satisfied index of institute such as power variation rate, quality of power supply when regulation regenerative resource access electrical network.Renewable energy power generation change too violent or peak value too high in, control centre can limit regenerative resource output, to reduce the impact to electrical network.But sending out means, limit can bring again the waste to regenerative resource.
Introduce energy-storage system, can solve the problem that above-mentioned renewable energy power generation is unstable, uncontrollable, limit wastes energy while sending out, energy-storage system can play level and smooth regenerative resource output, storage excrescent electric power, improve the effect of grid stability.In regenerative resource output hour, energy storage system discharges, improves gross output; In the time that regenerative resource output is higher, energy-storage system charging, reduces gross output.
How to utilize the energy-storage system in limited capacity and life-span to carry out to regenerative resource power output the major control target that tranquilization is energy-storage system.
Chinese patent application CN 102684222A has mentioned a kind of energy-storage system control method of utilizing wavelet analysis to carry out regenerative resource networking, required energy-storage system place capacity is calculated simultaneously.But the control method of mentioning in this scheme is not considered the capacity limitation problem of energy-storage system in running, the method can only smoothly be controlled regenerative resource simultaneously, the uncontrollable system output of dispatch command.
Chinese patent application CN 102593854A provides a kind of Butterworth filter that utilizes to carry out the level and smooth method of controlling of regenerative resource, and in conjunction with statistical method, sets up historical rule question blank, controls the capacity of energy-storage system in safe range.The energy-storage system control algolithm of mentioning in this scheme, due to the lag characteristic of algorithm, causes energy-storage system to discharge and recharge the increase of output power, is unfavorable for system long-time running.The rule base of this algorithm needs a large amount of test datas simultaneously, realizes difficulty larger.
The disadvantage of these methods is: can not in the real-time control of energy-storage system, add the capacity limit factor with protection system hardware, power curve be level and smooth not, and excessive discharges and recharges action.
Summary of the invention
In order to overcome the above-mentioned defect of prior art, the present invention is proposed.The object of the invention is to propose a kind of control method and control device for energy-storage system that can the grid-connected renewable energy system to electric power system, compared with prior art, realizing under identical stabilisation output effect, can make energy-storage system discharge and recharge power and reduce, make its capacity not out-of-limit simultaneously.
According to the present invention, proposed a kind of for can be grid-connected to the control method of the energy-storage system of the renewable energy system of electric power system, comprise the following steps: obtain the current power value that renewable energy system generates electricity; Whether the current power value that judgement is obtained exceedes the command value of rationing the power supply; Exceed and ration the power supply in command value and the normal situation of described energy-storage system in obtained current power value, start the described energy-storage system command value of rationing the power supply described in following; And do not exceed and ration the power supply in command value and the normal situation of described energy-storage system in obtained current power value, start described energy-storage system and carry out smoothing system gross output, wherein said system gross output be the power of renewable energy system and the power of energy-storage system and.
Preferably, if the current power value of obtaining exceedes ration the power supply command value and described energy-storage system fault, control renewable energy system and carry out cut-out generator, the command value thereby the system gross output of making is rationed the power supply described in following.
Preferably, the step that the described energy-storage system of described startup carrys out smoothing system gross output comprises: the data sequence of the filtering noise reduction result to the multiple power history value as renewable energy system and current power instantaneous value is carried out multiple dimensioned decomposition, to obtain one group of data component that is positioned at unlike signal space; According to by successively increasing and participate in the signal space lower-frequency limit that combination is calculated, by excluded low frequency component mode, the described one group of data component obtaining by multiple dimensioned decomposition is re-started to combination; In conjunction with the charged state SOC of energy-storage system, the power of energy-storage system, temperature and the ambient temperature parameter of energy-storage system, the validity of the combined result after judgement reconfigures; And in the effective situation of combined result after reconfiguring, the result that last time combination is calculated is as the command value that discharges and recharges control of energy-storage system.
Preferably, ration the power supply described in the following step of command value of the described energy-storage system of described startup comprises: utilize renewable energy system current power instantaneous value and described in the command value of rationing the power supply, calculate the target power that discharges and recharges of described energy-storage system; The data sequence of the filtering noise reduction result to the multiple power history value as renewable energy system and current power instantaneous value is carried out adaptive multiple dimensioned decomposition, to obtain one group of data component that is effectively positioned at unlike signal space; According to by successively increasing and participate in the signal space lower-frequency limit that combination is calculated, by excluded low frequency component mode, the described one group of data component obtaining by adaptive multiple dimensioned decomposition is re-started to combination; In conjunction with the charged state SOC of energy-storage system, the power of energy-storage system, temperature and the ambient temperature parameter of energy-storage system, the validity of the combined result after judgement reconfigures; And in the effective situation of combined result after reconfiguring, the result that last time combination is calculated is as the command value that discharges and recharges control of energy-storage system.
Preferably; ration the power supply described in the following step of command value of the described energy-storage system of described startup also comprises: the command value if system gross output is rationed the power supply described in exceeding; control to measure cut-out generator successively according to shutting down impact that the energy output of renewable energy system is brought, the command value thereby the system gross output of making is rationed the power supply described in following.
Preferably, described multiple dimensioned decomposition adopts short time discrete Fourier transform or wavelet transformation.
Preferably, described energy-storage system is the combination of energy storage device or multiple energy storage devices of monomer.
In addition, according to the present invention, also proposed a kind of for can be grid-connected to the control device of the energy-storage system of the renewable energy system of electric power system, comprising: the unit that obtains the current power value that renewable energy system generates electricity; Whether the current power value that judgement is obtained exceedes the unit of the command value of rationing the power supply; Exceed and ration the power supply in command value and the normal situation of described energy-storage system in obtained current power value, start ration the power supply described in the following unit of command value of described energy-storage system; And do not exceed and ration the power supply in command value and the normal situation of described energy-storage system in obtained current power value, start the unit that described energy-storage system carrys out smoothing system gross output, wherein said system gross output be the power of renewable energy system and the power of energy-storage system and.
The present invention is considering on the basis of energy storage system capacity restriction, proposes the control method of a kind of energy-storage system and renewable energy system, and corresponding hardware system structure.In the time generating electricity for regenerative resource stabilisation, realizing under identical stabilisation output effect, this system can make energy-storage system discharge and recharge power reduction, makes its capacity not out-of-limit simultaneously.
Brief description of the drawings
By reference to following combination accompanying drawing, to adopted detailed description of the preferred embodiment, it is more apparent that above-mentioned purpose of the present invention, advantage and feature will become, wherein:
Fig. 1 shows the schematic diagram that energy-storage system is accessed to a kind of hardware configuration of renewable energy power generation.
Fig. 2 shows the schematic diagram of the overall Generation Control flow process of renewable energy power generation and energy-storage system.
Fig. 3 show embodiment mono-for calculating the block diagram of system configuration of the command value that discharges and recharges control of energy-storage system.
Fig. 4 shows the figure of the concrete treatment step of embodiment mono-.
Fig. 5 show embodiment bis-for calculating the system architecture diagram of the command value that discharges and recharges control of energy-storage system.
Fig. 6 shows the figure of the concrete treatment step of embodiment bis-.
Fig. 7 shows the figure that renewable energy system is optimized the concrete treatment step of management in embodiment bis-.
Embodiment
The preferred embodiments of the present invention are described below with reference to the accompanying drawings.
The system that comprises energy-storage system, energy-storage system controller and renewable energy system is shown in Figure 1.
101 is grid dispatching center, or renewable energy power generation factory external control system.Control centre 101 sends generation schedule or rations the power supply data 110 to energy storage control system 108.Energy storage control system 108 sends the state information 111 of renewable energy system and energy-storage system to control centre 101, this state information mainly comprises malfunction, preventive maintenance time, grid-connected voltage, electric current and power data.
113 is renewable energy system, and common generating equipment is wind-driven generator and photovoltaic power generation equipment.Major function is by natural energy resources, as wind energy or solar energy, is converted into the alternating current of 50Hz.Renewable energy system 113, by oneself state information 109, mainly comprises downtime, shuts down number of times, current generated output, equipment failure state etc., sends to energy storage control system 101.The real time datas 112 such as the generating voltage of renewable energy system 113, electric current, frequency, power also can send to energy storage control system 108 in real time.
114 is energy-storage system, can be battery energy storage system or water-pumping energy-storage system etc.Be other forms of energy storage by electric energy conversion, or be that electric energy is discharged in electrical network by other forms of energy conversion.Energy-storage system 114 sends the state information 106 of energy-storage system to energy storage control system 108, comprise energy-storage system temperature, SOC (charged state, stage of charge, the energy balance of energy-storage system accounts for the percentage of total amount), terminal voltage, end electric current etc.
115 is energy-storage system charge and discharge device PCS, and what this device received energy storage control system 108 discharges and recharges power instruction 105, and completes electric energy conversion and the action that discharges and recharges to energy-storage system 114, realizes the requirement that discharges and recharges power instruction.
104 is the grid-connected switch of energy-storage system, and this device completes being connected and disconnection of energy-storage system 114 and grid integration device 102.
103 is transformer, complete the grid-connected side low-voltage of energy-storage system charge and discharge device 115 to the high-tension conversion of electrical network, and the grid-connected side low-voltage of regenerative resource is to the high-tension conversion of electrical network.
102 is grid integration device, completes renewable energy system and the energy-storage system grid integration to electric power system.
108 is energy storage control system, complete the detection (109,112,106,107) to regenerative resource and energy-storage system state information, the dispatch command 110 at receiving scheduling center 101, send regenerative resource and energy-storage system state information 111 to control centre, calculating energy-storage system charges and discharge power and is handed down to relevant device realizes control action.Wherein 107 is energy-storage system voltage, electric current and power data.
Comprise energy-storage system, energy-storage system controller and renewable energy system system total operating process as shown in Figure 2, wherein BESS is energy-storage system abbreviation, DG is renewable energy system abbreviation.
In step 201, receive a series of state informations of renewable energy system, comprise preventive maintenance time, malfunction etc.
In step 202, judge that whether renewable energy system is normal, if not, system standby, returns to step 201.If so, system enters step 203, starts renewable energy power generation.
In step 204, control centre or external control system receive the current power value of renewable energy system.
In step 205, judge whether the gross generation of renewable energy system exceedes the command value of rationing the power supply.If be no more than, enter step 207, if exceeded, enter step 206.
In step 206, control centre sends to renewable energy system the instruction of rationing the power supply.
In step 207, control centre receives energy-storage system state information, and judge whether normal (step 209) of energy-storage system, if energy-storage system is normal, start energy-storage system and carry out smoothing system gross output (step 212), the system gross output here refers to the summation of renewable energy source power and energy-storage system power, and concrete energy-storage system control algolithm can be with reference to such as embodiment mono-.If energy-storage system fault does not start energy-storage system, allow renewable energy power generation power directly into electrical network (step 211).
Whether normally in step 208, control centre receives energy-storage system state information, and judge energy-storage system (step 210), follows dispatch command value if energy-storage system normally starts energy-storage system.Concrete energy-storage system control algolithm can reference example as embodiment bis-.If energy-storage system fault does not start energy-storage system, and control renewable energy system cut-out generator, make gross power follow dispatch command.
In step 215, after completing above-mentioned flow process, make renewable energy system access grid generation.
embodiment mono-
Fig. 3 be embodiment mono-for calculating the system architecture diagram of the command value that discharges and recharges control of energy-storage system.Wherein 302,313,314,315 is system noise filter, and it is taking regenerative resource power detection value 301, battery SOC detected value 316, energy-storage system power detection value 317, energy-storage system temperature detection value 318 as input variable.Filter is chosen as low pass filter, and its median filter 302 cut-off frequencies can be arranged in the middle of the noise frequency characteristic of regenerative resource power detecting system and the frequency characteristic of renewable energy source power actual value.Object is to filter out the high-frequency noise that system sensor AD/DA module and transmission line bring.
The parameter selection method of other filters 313,314,315 and 302 similar.
Multiscale analysis module 304, using filter power output 303 as input variable, is decomposed into the signal component of multiple signal spaces.Algorithm can adopt short time discrete Fourier transform or the wavelet transformation etc. with time domain and frequency domain locating features simultaneously.
By changing the scale factor of multiscale analysis algorithm, obtain one group of analysis result being formed by multiple different signal components.
One group of signal component that combination computing module 306 calculates module 304 reconfigures, and the concrete grammar that combination is calculated is: by the time coordinate alignment of the signal of choosing, the data on each time point are carried out to superposition calculation, obtain combined result.Because the each signal component that participates in combination calculating is to be calculated by the multiscale analysis with time-frequency locating features, so under the prerequisite of time coordinate alignment, the result that combination is calculated is exactly the component of power output 303 in particular frequency range.
Data component selects module 308 to carry out COMPREHENSIVE CALCULATING to comprising the information such as SOC value of battery 310, energy-storage system power 311, energy-storage system temperature 312, and taking result of calculation as foundation, multiple data that combination computing module 306 is exported are selected, and determine the control command value of final energy-storage system.
With reference to the algorithm structure shown in Fig. 3, the concrete treatment step that Fig. 4 is the present embodiment.
In Fig. 4, in step 401, first multiscale analysis exponent number and signal space scope are set.
In step 402, obtain multiple history value and the current instantaneous value of renewable energy source power, energy-storage system power.Here, instantaneous value 403 can obtain from checkout equipment or other system, and history value for example can read from memory device.
Step 404 is carried out filtering noise reduction to the data such as regenerative resource power P n, energy-storage system power and SOC value of battery, energy-storage system temperature of obtaining.First system in chronological sequence generates a data sequence, the input variable using this data sequence as filter by the history value of each variable and instantaneous value.The parameter setting of filter can be with reference to the description of module 302.
The input variable of step 405 using the filtering noise reduction result of renewable energy source power as multiscale analysis, carries out multiple dimensioned decomposition to this data sequence, obtains one group of data component that is positioned at unlike signal space, and concrete grammar can be with reference to the description of module 304.
In step 406,407,408, calculating is selected and combined to one group of data step 405 being exported in the mode of iteration, concrete system of selection is: all data of first selecting full frequency-domain, combine calculating (step 406), and result of calculation is judged to (step 407), improve gradually the frequency range lower limit (step 408) that participates in the data component calculating, thereby low frequency component is foreclosed and reconfigure.
In step 406, one group of data that multiple dimensioned decomposition is obtained re-start combination, and main calculation methods is shown in the description of module 306.
In step 407, synthetically calculate energy-storage system SOC, energy-storage system power, energy-storage system temperature, ambient temperature parameter, the validity (step 406) of the combined result of judgement output, concrete grammar is: this combination result of calculation is multiplied by the system refresh time interval by (1), obtain energy-storage system SOC increment, this increment and current energy-storage system SOC value are added, check whether the result being added exceedes energy-storage system SOC up/down limit scope; (2) utilize current energy-storage system temperature, ambient temperature is as factor of influence, revise energy-storage system power upper lower limit value, as higher in energy-storage system temperature, ambient temperature is higher, the absolute value of energy-storage system bound is less, calculates the energy-storage system Power Limitation scope of an optimization according to this principle, judges whether the result that this combination is calculated exceedes this scope; (3) taking last energy-storage system power and combination result of calculation as input variable, calculate energy-storage system power variation rate, judge whether this rate of change exceedes energy-storage system and discharge and recharge the up/down limit scope of rate of change; (4) judge whether the data amount check that participates in combination calculating exceedes the total data number that these data combine.
By result above is comprehensively judged: if in all relatively judgements of step 407, have any one to exceed corresponding scope, enter step 408, otherwise enter step 410.
In step 408, successively increase and participate in the signal space lower-frequency limit that combination is calculated.Reduce and participate in the lower frequency region data component that combination is calculated.
In step 409, the input of temperature parameter and energy-storage system SOC value is provided, wherein temperature parameter comprises the ambient temperature of for example energy-storage system and the temperature of energy-storage system body.
In step 410, the result that last time combination is calculated is set to Pb3, the command value that discharge and recharge control of step 411 using Pb3 as energy-storage system.
embodiment bis-
Fig. 5 be embodiment bis-for calculating the system architecture diagram of the command value that discharges and recharges control of energy-storage system.In Fig. 5, the part identical with reference marker in Fig. 3 represent with embodiment mono-in identical structure, repeat no more.
In embodiment bis-, energy-storage system receives dispatching of power netwoks instruction or external control order power (319), energy-storage system controller utilizes renewable energy source power (being included in signal 303) and external signal 319, calculates energy-storage system and discharges and recharges target power.
304,320 and 321 realize an adaptive multiple dimensioned decomposable process.Wherein high fdrequency component computing module 320 receives the result of multiscale analysis, it is signal component 305, and obtain high fdrequency component, in high fdrequency component computing module 320, high fdrequency component and energy-storage system power bound scope, if signal amplitude exceedes this scope, in signal space determination module 321, increase the frequency domain upper limit of multiscale analysis, if signal amplitude is too small compared with energy-storage system power bound, reduce the frequency domain upper limit of multiscale analysis, through iteration repeatedly, obtain an effective multiscale analysis result.
With reference to the system configuration shown in Fig. 5, the concrete treatment step of the present embodiment two shown in key diagram 6.
In Fig. 6, the part identical with reference marker in Fig. 4 represent with embodiment mono-in identical structure, repeat no more.
As shown in Figure 6, in step 412, judge whether dispatching of power netwoks or external control instruction Pg (413), if had, dispatching of power netwoks power P g (413) has been set to dispatch command value Pd.If not,, dispatching of power netwoks power P g is set to 0 (step 414,415).
In step 416, calculate energy-storage system and discharge and recharge target power Pb, history value and the currency of this step COMPREHENSIVE CALCULATING renewable energy source power, and the history value of external control instruction and currency, processing method is:
In the time thering is external control instruction, be divided into the form difference of external command ration the power supply instruction mode and predict command pattern:
Under the instruction mode of rationing the power supply:
In the time that regenerative resource power output is greater than external command: discharge and recharge the difference that target P b is external command and renewable energy source power:
P
b＝P
n-P
g
In the time that regenerative resource power output is less than external command: charging target is regenerative resource power stage value.
Under predict command pattern:
Discharge and recharge the difference that target P b is external command and renewable energy source power:
P
b＝P
n-P
g
Wherein Pn is renewable energy source power.
In the time there is no external control instruction, discharging and recharging target is regenerative resource power stage value.
In step 417, judge the validity of multiscale analysis, specific algorithm can be according to the method for Fig. 5 medium-high frequency component module 320, if multiscale analysis effectively, enters step 406, if multiscale analysis is invalid, enter step 418, change the frequency domain scope of multiscale analysis.Through repeatedly obtaining an effective multiple dimensioned decomposition after iteration.
In step 419, judge whether system gross output exceedes the grid power upper limit, this is in order to tackle situation: some power network dispatching system can be to power plant, and particularly the gross power upper limit of renewable energy system is made certain limitation, to reduce the percussion of Generation Side to electrical network.Discharge and recharge power and SOC restriction due to what native system was considered energy-storage system, very large in generation of electricity by new energy power fluctuation rate, when curve of output kurtosis is very high, energy-storage system cannot be stabilized all new forms of energy output pulsations, so must control cut-out grid-connected power generation system, to reduce the impact of too high generated output to electrical network.
Gross power in step 419 be renewable energy power generation power and energy-storage system power control target and.
In step 419, if system gross output exceedes the instruction of rationing the power supply, illustrative system is limit by hardware capabilities, cannot limit too high regenerative resource output, enter step 420, step 420 cut-out renewable energy system, to reduce system gross output.The watt level of excision can be determined according to the difference of regenerative resource performance number and energy-storage system control target.
In step 420, except calculating the renewable energy power generation performance number of required excision, also comprise and being in optimized selection excising which renewable energy system, make system loss minimum.Specifically system of selection is as shown in Figure 7:
In Fig. 7:
In step 701, obtain the historical generated output (702) of all renewable energy systems and record current state generated output, and adding in historical generated output curve current generated output as up-to-date history value.
In step 703, utilize nearest history value, calculate the renewable energy power generation generated output average value P ai in a period of time, as the average generated output in nearest month or the average generated output in a week.
In step 704, obtain the maintenance state (705) of all renewable energy systems, and calculate each renewable energy system and shut down, the impact that the energy output of this system is brought, main calculation methods is:
If it is t0 that every renewable energy system carries out the required time of system maintenance, i platform renewable energy system is shut down the Lm that affects that energy output is brought and is:
L
m＝-t
0×c×d
i
Wherein Pai is the average generated output of i platform renewable energy system in nearest a period of time.
Di is the maintenance state factor of influence of this renewable energy system, when this renewable energy system, in owing maintenance state, (system operation exceedes the mean time between maintenance, need to carry out system maintenance), and current time is within attendant's operating time when (as 9:00～16:00), di is 1, and in addition di is 0.
Step 706 is calculated and is shut down the impact of action on energy output, and main calculation methods is:
If every renewable energy system total shutdown number of times in life cycle is Ns, average life span is ta, and i platform renewable energy system is shut down the Ls that affects that energy output is caused and is:
In step 707, obtain the factor of natural environment (708) of renewable energy system, as current wind speed, temperature, humidity, dust storm content, rain/snow/hail, and calculate the impact of factor of natural environment on energy output, main calculation methods is:
Taking wind generator system as example, the principal element that the life-span of wind generator system is exerted an influence is wind speed turbulence intensity, and the current turbulence intensity of establishing i typhoon force generating system wind wheel place is l
i, when this blower fan system is shut down, the Lf that affects that natural cause produces energy output is:
L
f＝-f(l
i，t
a，t
0)
Wherein the expression formula of function f can obtain according to defect theory, as linear fatigue damage life-span theory.
Other forms of renewable energy system, as solar power generation, solar energy thermal-power-generating etc., can be subject to according to concrete generating equipment the feature of environmental impact, and different influencing factor I is set
i, and according to calculating the affect Lf of factor of natural environment on energy output with the similar method of wind generator system.
Step 709 produces all system-downs mentioned above impact on energy output is sued for peace, and obtains the always amount of the impact Li of shutdown of every renewable energy system.
Step 710 sorts all renewable energy systems according to the size of Li, arrange (comprising sign) with order from small to large.The renewable energy system coming above represents that this system-down is less on the impact of system energy output, and expression impact is below larger.
In step 711,713,714, determine that in the mode of cycle calculations which renewable energy system needs to shut down.First the renewable energy system gross generation of the required excision of system acquisition, this value can obtain in step 420 from Fig. 6.Then system is selected front j platform renewable energy system (j initial value is 1) from the renewable energy system having sorted, the relatively size (714) of the summation Pj of its present output power and the gross power Pc of required excision, Pj is less than Pc and represents that the renewable energy system quantity of excision is inadequate, increase the quantity (713) of j, until Pj is greater than Pc.
Finally, in step 715, from the renewable energy system having sorted, j platform renewable energy system before selecting, the equipment of shutting down as needs, realizes optimum shutdown strategy.
Energy-storage system control algolithm mentioned above can be:
Method one: when not providing renewable energy power generation in control centre and rationing the power supply instruction, the instantaneous value of system acquisition regenerative resource and energy-storage system power and multiple history value, these data are carried out to filtering noise reduction and obtain multiple valid data one, wherein energy-storage system can be the combination of energy storage device or multiple energy storage devices of monomer; Utilize wavelet transformation to carry out multiple dimensioned decomposition to multiple valid data one, obtain the data component in unlike signal space.The signal space scope of selecting data component on the basis that energy-storage system power and residual capacity are analyzed, combines calculating to selected data component, obtains energy-storage system and discharges and recharges power.
Method two: due to control centre and renewable energy power generation factory distant, between communication produces when fault, system is automatically thought now and control centre's instruction of not rationing the power supply to be adopted the control algolithm identical with method one.
Method three: when providing renewable energy power generation in control centre and rationing the power supply instruction: the instantaneous value of system acquisition regenerative resource and energy-storage system power and multiple history value, these data are carried out to filtering noise reduction and obtain multiple valid data one, wherein energy-storage system can be the combination of energy storage device or multiple energy storage devices of monomer; Valid data one and the generating instruction of rationing the power supply is calculated, obtain energy-storage system control target data two.Utilize wavelet transformation to carry out multiple dimensioned decomposition to multiple target datas two, obtain the data component in unlike signal space.The signal space scope of selecting data component on the basis that energy-storage system power and residual capacity are analyzed, combines calculating to selected data component, obtains energy-storage system and discharges and recharges power.
In multiple dimensioned decomposition step in method one, method two, method three, can also comprise and judge that whether the result of multiscale analysis is effective, this is that low frequency component and high fdrequency component to multiscale analysis result carried out Analysis deterrmination.
In the multiple dimensioned decomposition step of mentioning in method one, method two, method three, can also comprise how decision set adds up to the signal amplitude of calculating whether out-of-limit, and this mainly judges with energy-storage system current power, residual capacity, energy-storage system temperature and ambient temperature.
According to the present invention, can accept the real-time control of dispatch command, make electrical network access property better; The time-domain and frequency-domain locating features of multiscale analysis makes system be operated in minimum power state under the prerequisite that does not affect systematic function, is conducive to system long-time running; In the process of multiscale analysis, adopt the method for Dynamic parameter adjustment to mate the capacity of energy-storage system and the restriction of environmental parameter, more level and smooth than conventional method, reduce the impact to hardware device; Can make the affect minimum of system-down on energy output through the electricity generation system management method of optimizing.
Although below show the present invention in conjunction with the preferred embodiments of the present invention, one skilled in the art will appreciate that without departing from the spirit and scope of the present invention, can carry out various amendments, replacement and change to the present invention.Therefore, the present invention should not limited by above-described embodiment, and should be limited by claims and equivalent thereof.
Claims (8)
- For can be grid-connected to the control method of the energy-storage system of the renewable energy system of electric power system, comprise the following steps:Obtain the current power value that renewable energy system generates electricity;Whether the current power value that judgement is obtained exceedes the command value of rationing the power supply;Exceed and ration the power supply in command value and the normal situation of described energy-storage system in obtained current power value, start the described energy-storage system command value of rationing the power supply described in following; AndDo not exceed and ration the power supply in command value and the normal situation of described energy-storage system in obtained current power value, start described energy-storage system and carry out smoothing system gross output, wherein said system gross output be the power of renewable energy system and the power of energy-storage system and.
- 2. control method according to claim 1, wherein,If the current power value of obtaining exceedes ration the power supply command value and described energy-storage system fault, control renewable energy system and carry out cut-out generator, the command value thereby the system gross output of making is rationed the power supply described in following.
- 3. control method according to claim 1, wherein,The step that the described energy-storage system of described startup carrys out smoothing system gross output comprises:The data sequence of the filtering noise reduction result to the multiple power history value as renewable energy system and current power instantaneous value is carried out multiple dimensioned decomposition, to obtain one group of data component that is positioned at unlike signal space;According to by successively increasing and participate in the signal space lower-frequency limit that combination is calculated, by excluded low frequency component mode, the described one group of data component obtaining by multiple dimensioned decomposition is re-started to combination;In conjunction with the charged state SOC of energy-storage system, the power of energy-storage system, temperature and the ambient temperature parameter of energy-storage system, the validity of the combined result after judgement reconfigures; AndIn the effective situation of combined result after reconfiguring, the result that last time combination is calculated is as the command value that discharges and recharges control of energy-storage system.
- 4. control method according to claim 1, wherein,Ration the power supply described in the following step of command value of the described energy-storage system of described startup comprises:Utilize renewable energy system current power instantaneous value and described in the command value of rationing the power supply, calculate the target power that discharges and recharges of described energy-storage system;The data sequence of the filtering noise reduction result to the multiple power history value as renewable energy system and current power instantaneous value is carried out adaptive multiple dimensioned decomposition, to obtain one group of data component that is effectively positioned at unlike signal space;According to by successively increasing and participate in the signal space lower-frequency limit that combination is calculated, by excluded low frequency component mode, the described one group of data component obtaining by adaptive multiple dimensioned decomposition is re-started to combination;In conjunction with the charged state SOC of energy-storage system, the power of energy-storage system, temperature and the ambient temperature parameter of energy-storage system, the validity of the combined result after judgement reconfigures; AndIn the effective situation of combined result after reconfiguring, the result that last time combination is calculated is as the command value that discharges and recharges control of energy-storage system.
- 5. control method according to claim 4, wherein,Ration the power supply described in the following step of command value of the described energy-storage system of described startup also comprises:If ration the power supply command value described in system gross output exceedes, control to measure cut-out generator successively according to shutting down impact that the energy output of renewable energy system is brought, the command value thereby the system gross output of making is rationed the power supply described in following.
- 6. control method according to claim 1, wherein,Described multiple dimensioned decomposition adopts short time discrete Fourier transform or wavelet transformation.
- 7. control method according to claim 1, wherein,Described energy-storage system is the combination of energy storage device or multiple energy storage devices of monomer.
- For can be grid-connected to the control device of the energy-storage system of the renewable energy system of electric power system, comprising:Obtain the unit of the current power value that renewable energy system generates electricity;Whether the current power value that judgement is obtained exceedes the unit of the command value of rationing the power supply;Exceed and ration the power supply in command value and the normal situation of described energy-storage system in obtained current power value, start ration the power supply described in the following unit of command value of described energy-storage system; AndDo not exceed and ration the power supply in command value and the normal situation of described energy-storage system in obtained current power value, start the unit that described energy-storage system carrys out smoothing system gross output, wherein said system gross output be the power of renewable energy system and the power of energy-storage system and.
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104868489A (en) * | 2015-06-17 | 2015-08-26 | 北京睿能世纪科技有限公司 | Output power control method and device for power grid energy storage system |
| CN111107619A (en) * | 2019-12-27 | 2020-05-05 | 深圳市普威技术有限公司 | Power control method of communication system, communication system and storage medium |
| CN111193279A (en) * | 2020-02-12 | 2020-05-22 | 江苏劲源新能源科技有限公司 | Control method for wind power plant energy storage system |
| CN116774769A (en) * | 2023-08-23 | 2023-09-19 | 江苏纳通能源技术有限公司 | MPPT (maximum Power Point tracking) fast high-precision power control method, system, equipment and medium |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2006170808A (en) * | 2004-12-16 | 2006-06-29 | Matsushita Electric Ind Co Ltd | Battery voltage detection circuit and battery pack having it |
| CN102522776A (en) * | 2011-12-23 | 2012-06-27 | 中国电力科学研究院 | Method for improving wind power tracking capability on planned output by energy storage system |
| CN102593854A (en) * | 2012-02-01 | 2012-07-18 | 中国电力科学研究院 | Method for stabilizing wind power fluctuation under transient time constant of battery energy storage system |
| CN102684222A (en) * | 2012-05-14 | 2012-09-19 | 华北电力大学 | Method for smoothly controlling wind power generation power based on energy storage technology |
| CN102738828A (en) * | 2012-06-27 | 2012-10-17 | 哈尔滨工业大学 | Method for stabilizing uncertainty of large-scale wind power grid-connected power fluctuation by utilizing integrated combined power generation unit |
-
2013
- 2013-05-24 CN CN201310198453.5A patent/CN104184158A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2006170808A (en) * | 2004-12-16 | 2006-06-29 | Matsushita Electric Ind Co Ltd | Battery voltage detection circuit and battery pack having it |
| CN102522776A (en) * | 2011-12-23 | 2012-06-27 | 中国电力科学研究院 | Method for improving wind power tracking capability on planned output by energy storage system |
| CN102593854A (en) * | 2012-02-01 | 2012-07-18 | 中国电力科学研究院 | Method for stabilizing wind power fluctuation under transient time constant of battery energy storage system |
| CN102684222A (en) * | 2012-05-14 | 2012-09-19 | 华北电力大学 | Method for smoothly controlling wind power generation power based on energy storage technology |
| CN102738828A (en) * | 2012-06-27 | 2012-10-17 | 哈尔滨工业大学 | Method for stabilizing uncertainty of large-scale wind power grid-connected power fluctuation by utilizing integrated combined power generation unit |
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104868489A (en) * | 2015-06-17 | 2015-08-26 | 北京睿能世纪科技有限公司 | Output power control method and device for power grid energy storage system |
| CN104868489B (en) * | 2015-06-17 | 2017-08-01 | 北京睿能世纪科技有限公司 | A kind of power network energy-storage system is exerted oneself control method and device |
| CN111107619A (en) * | 2019-12-27 | 2020-05-05 | 深圳市普威技术有限公司 | Power control method of communication system, communication system and storage medium |
| CN111107619B (en) * | 2019-12-27 | 2023-05-16 | 深圳市联洲国际技术有限公司 | Power control method of communication system, communication system and storage medium |
| CN111193279A (en) * | 2020-02-12 | 2020-05-22 | 江苏劲源新能源科技有限公司 | Control method for wind power plant energy storage system |
| CN116774769A (en) * | 2023-08-23 | 2023-09-19 | 江苏纳通能源技术有限公司 | MPPT (maximum Power Point tracking) fast high-precision power control method, system, equipment and medium |
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