CN103227508B - Wind-light storage complex control system and method - Google Patents

Wind-light storage complex control system and method Download PDF

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CN103227508B
CN103227508B CN201310134923.1A CN201310134923A CN103227508B CN 103227508 B CN103227508 B CN 103227508B CN 201310134923 A CN201310134923 A CN 201310134923A CN 103227508 B CN103227508 B CN 103227508B
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wind
energy
time
units
photovoltaic
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CN103227508A (en
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彭怀午
刘丰
包紫光
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Inner Mongolia Electric Power Survey and Design Institute Co Ltd
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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
    • Y02E10/50—Photovoltaic [PV] energy
    • Y02E10/56—Power conversion systems, e.g. maximum power point trackers
    • 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
    • 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
    • Y02E40/00—Technologies for an efficient electrical power generation, transmission or distribution
    • Y02E40/70—Smart grids as climate change mitigation technology in the energy generation sector
    • 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
    • Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S10/00—Systems supporting electrical power generation, transmission or distribution
    • Y04S10/12—Monitoring or controlling equipment for energy generation units, e.g. distributed energy generation [DER] or load-side generation
    • Y04S10/123—Monitoring or controlling equipment for energy generation units, e.g. distributed energy generation [DER] or load-side generation the energy generation units being or involving renewable energy sources

Abstract

The present invention proposes a kind of wind-light storage complex control system and method, belong to technical field of industrial control.This system comprises wind power system control appliance, for obtain Wind turbines power curve, complete 1 year by time wind speed and direction data, Wind turbines position coordinates, Digital Topographic Map ' and Wind turbines number of units, with this obtain wind energy turbine set by time power stage; Electro-optical system control appliance, for obtain photovoltaic module power characteristic curve, complete 1 year by time global solar radiation data, photovoltaic module optimum angle of incidence and number of photovoltaic modules, with this obtain photovoltaic field by time power stage; Comprehensive server, be connected to wind power system control appliance and electro-optical system control appliance by the network equipment, for according to described wind energy turbine set by time power stage and photovoltaic field by time power stage obtain the optimum proportioning of described Wind turbines number of units and number of photovoltaic modules.This programme solves and cannot accurately control the problems such as the proportioning of wind-light storage system, the plurality of advantages such as when having an accurate efficient real.

Description

Wind-light storage complex control system and method
Technical field
The invention belongs to technical field of industrial control, particularly relate to a kind of wind-light storage complex control system and method.
Background technology
In new forms of energy, solar energy and wind energy is inexhaustible with it, nexhaustible, on the spot desirable, without the need to transporting, widely distributed, reliability is high, pollution-free, be beneficial to the advantages such as ecological, it is develop and useedd and is increasingly subject to the most attention of various countries, has become in new energy field that development of exploitation level is the highest, technology is the most ripe, the novel energy of most widely used general, most commercialized development condition.But, all there is the drawbacks such as energy density is low, poor stability in wind energy and solar energy, independent wind generator system and independent solar electricity generation system is made to there is energy instability, intermittent shortcoming, grid-connected difficulty has become a large present situation of generation of electricity by new energy at present, along with the further advantage of wind-powered electricity generation and photoelectricity develops, wind-powered electricity generation and photoelectric yield problem not insignificant, need solution badly.
Because solar energy and wind energy have very strong complementarity with seasonal in time: daytime solar irradiation good, wind is little, evening is unglazed photograph, wind are stronger; Summer, Intensity of the sunlight was large and wind is little, and winter solar intensity of illumination is weak and wind is large.Because the matching of solar energy and wind energy is strong, wind and solar hybrid generating system compensate for wind-powered electricity generation and the defect of photoelectricity autonomous system on natural resources in resource.Meanwhile, wind-powered electricity generation and electro-optical system can be general in energy storage and power transmission and distribution link, so the cost of wind and solar hybrid generating system can reduce, system cost is tending towards reasonable.Wind and solar hybrid generating system can carry out the reasonable disposition of power system capacity according to the load condition of electrical network and Natural resources condition, both can ensure the reliability of system power supply, can reduce again the cost of electricity generation system.From technology assessment, wind and solar hybrid generating system is a kind of reasonably generation mode.
Scene energy-storage system is the electric power station system of comprehensive utilization wind energy, luminous energy, energy storage device; be not only and solve current energy crisis and environmental pollution and open a Tiao Xin road, and on the impact of the stability of a system and reliability when effectively improving wind-powered electricity generation and the independent output power of photovoltaic generation.Along with the develop rapidly of the correlation technique such as energy storage technology and intelligent grid, wind-light complementary energy storage power station will become a kind of important form in generation of electricity by new energy.But, there is not a kind of complex control system and method in prior art, quick and precisely can obtain wind, light, energy-storage travelling wave tube optimum proportioning, and wind-powered electricity generation, photoelectricity, energy-storage system are comprehensively allocated.In prior art, by fixing wind-powered electricity generation capacity, and with the photovoltaic capacity of integer, as 100,200,300 etc. constantly tentative calculations, obtain honourable gross output mean square deviation, draw the mean square deviation figure of different ratio, thus select a preferably proportioning.The acquisition of energy storage adopts: deduct smooth target curve with original power curve, the charging and discharging curve being energy storage obtained, if be just, illustrate that this moment wind is larger, unnecessary electric energy is had to need to be charged in energy storage device, if be negative, illustrate that this moment wind is less, need to discharge electric energy from energy storage device.The probability of each section occupied of energy storage device charging and discharging power is obtained from charging and discharging curve, stored energy capacitance unit is divided equally with the stored energy capacitance of the integer estimated, as more than 600,300 ~ 600, less than 300, with the maximum of demarcation interval as 600, as stored energy capacitance.But this method cannot obtain optimal proportion, and can not regulate and control wind-powered electricity generation, photoelectricity, energy-storage system at any time, the proportioning of element in each system cannot be changed according to actual conditions in real time.
Summary of the invention
The object of the present invention is to provide a kind of wind-light storage complex control system and method, overcome problems of the prior art, realize in real time, accurately control wind-light storage proportioning.
For realizing above object, the present invention proposes a kind of wind-light storage complex control system, described system comprises: wind power system control appliance, for obtain Wind turbines power curve, complete 1 year by time wind speed and direction data, Wind turbines position coordinates, Digital Topographic Map ' and Wind turbines number of units, with this obtain wind energy turbine set by time power stage; Electro-optical system control appliance, for obtain photovoltaic module power characteristic curve, complete 1 year by time global solar radiation data, photovoltaic module optimum angle of incidence and number of photovoltaic modules, with this obtain photovoltaic field by time power stage; Wherein, one in described Wind turbines number of units and number of photovoltaic modules is variable, and another is determined value; Comprehensive server, wind power system control appliance and electro-optical system control appliance is connected to by the network equipment, for obtain described wind energy turbine set by time power stage and photovoltaic field by time power stage, obtain the optimum proportioning of described Wind turbines number of units and number of photovoltaic modules with this.
According to an aspect of the present invention, when Wind turbines number of units is variable, when number of photovoltaic modules is determined value, described comprehensive server is also for being sent to wind power system control appliance by the Wind turbines number of units of acquisition, and described wind power system control appliance is used for according to the connection of Wind turbines in described Wind turbines unit number control wind power system and/or disconnection; When Wind turbines number of units is determined value, when number of photovoltaic modules is variable, described comprehensive server is also for being sent to electro-optical system control appliance by the number of photovoltaic modules of acquisition, and described electro-optical system control appliance is used for the connection and/or the disconnection that control photovoltaic module in electro-optical system according to described number of photovoltaic modules.
According to an aspect of the present invention, described wind power system control appliance and electro-optical system control appliance have display respectively, are respectively used to show the Wind turbines number of units and number of photovoltaic modules that need to increase and/or reduce.
According to an aspect of the present invention, described wind-powered electricity generation storage complex control system also comprises energy-storage system control appliance, and described energy-storage system control appliance is connected by the network equipment with comprehensive server.
According to an aspect of the present invention, described energy-storage system control appliance is used for the request providing the actual power load curve of electrical network or proposition to need smooth power to export to comprehensive server, and described energy-storage system control appliance is also for the minimum unit capacity of the level and smooth probable value of curve of output from needs guarantee to comprehensive server and energy storage that provide; Described comprehensive server be used for according to obtain described Wind turbines number of units and number of photovoltaic modules optimum proportioning obtain scene by time gross output, and the request receiving the actual power load curve of described electrical network or need smooth power to export, the minimum unit capacity of the probable value that the described curve of output needing to ensure is level and smooth and energy storage, obtains the energy-storage units number of optimum proportioning with this.
According to an aspect of the present invention, comprehensive server is also for sending to energy-storage system control appliance by the energy-storage units number of optimum proportioning; Described energy-storage system control appliance is used for the connection and/or the disconnection that control energy-storage units according to the energy-storage units number of described optimum proportioning.
According to an aspect of the present invention, described energy-storage system control appliance also comprises the display for showing the energy-storage units number that needs increase and/or reduce.
According to an aspect of the present invention, described wind power system control appliance, electro-optical system control appliance, energy-storage system control appliance are back yard industry computer for controlling, special-purpose computer or personal computer; Described comprehensive server is large server computer; The described network equipment is the network switch or router.
According to an aspect of the present invention, described wind power system control appliance comprises wattmeter, described wattmeter for sensing the change of Power Output for Wind Power Field, when change exceedes predetermined threshold, described wind power system control appliance be used for comprehensive server send wind energy turbine set by time power stage; Described comprehensive server for obtain described wind energy turbine set by time power stage after, to electro-optical system control appliance send obtain photovoltaic field by time power stage request, and obtain photovoltaic field by time power stage after, obtain the number of photovoltaic modules of optimum proportioning; Described electro-optical system control appliance comprises wattmeter, described wattmeter for sensing the change of photovoltaic field power output, when change exceedes predetermined threshold, described electro-optical system control appliance be used for comprehensive server send photovoltaic field by time power stage; Described comprehensive server for obtain described photovoltaic field by time power stage after, to wind power system control appliance send obtain wind energy turbine set by time power stage request, and obtain wind energy turbine set by time power stage after, obtain the Wind turbines number of units of optimum proportioning.
According to an aspect of the present invention, described comprehensive server specifically for according to wind energy turbine set by time power stage and photovoltaic field by time power stage, by linear programming technique or Newton iteration method, determine Wind turbines number of units and the number of photovoltaic modules of optimum proportioning: first obtain scene always by time power output P (i): P (i)=P wt(i)+P pv(i), wherein P wt(i) be wind energy turbine set by time power stage; P pv(i) be photovoltaic field by time power stage; P wt(i) or P pvi comprise the variable n representing Wind turbines number of units or number of photovoltaic modules in () respectively, wherein n is integer, and n>=1; Then obtain scene always by time power output standard deviation S: wherein n be by time power output total number, i represents one of them moment; Obtain the Wind turbines number of units corresponding when standard deviation S is minimum or number of photovoltaic modules n.
According to an aspect of the present invention, described comprehensive server specifically for: when receiving the actual power load curve of electrical network, obtain the time series Y (i) of this curve, when receiving the request needing smooth power to export, by scene by time gross output X (i) smoothing process, obtain level and smooth after value be Y (i); Obtain need energy storage device to carry out regulating crest or trough value A (i): A (i)=| X (i)-Y (i) |; Obtain mean value M and the standard deviation sigma of time series A (i): wherein N be by time power output total number, i represents one of them moment; The probable value ensured as required, obtain theoretical stored energy capacitance C, the C=M+ α σ needed, wherein α is the predetermined coefficient corresponding with probable value; According to the minimum unit capacity u of energy storage, obtain the energy-storage units number k needed: final actual energy-storage units number is obtained after being rounded up by k.
The invention allows for a kind of wind-light storage integrated control method, comprise: obtain Wind turbines power curve, complete 1 year by time wind speed and direction data, Wind turbines position coordinates, Digital Topographic Map ' and Wind turbines number of units, with this obtain wind energy turbine set by time power stage; Obtain photovoltaic module power characteristic curve, complete 1 year by time global solar radiation data, photovoltaic module optimum angle of incidence and number of photovoltaic modules, with this obtain photovoltaic field by time power stage; Wherein, one in described Wind turbines number of units and number of photovoltaic modules is variable, and another is determined value; According to wind energy turbine set by time power stage and photovoltaic field by time power stage, obtain the optimum proportioning of Wind turbines number of units and number of photovoltaic modules.
According to an aspect of the present invention, described method also comprises: when Wind turbines number of units is variable, when number of photovoltaic modules is determined value, according to connection and/or the disconnection of Wind turbines in the Wind turbines unit number control wind power system obtained; When Wind turbines number of units is determined value, when number of photovoltaic modules is variable, control connection and/or the disconnection of photovoltaic module in electro-optical system according to the number of photovoltaic modules obtained.
According to an aspect of the present invention, described method also comprises: the Wind turbines number of units that display needs increase and/or reduce and number of photovoltaic modules.
According to an aspect of the present invention, described method also comprises: obtain request that electrical network actual power load curve or proposition need smooth power to export, obtain the minimum unit capacity of the level and smooth probable value of curve of output that needs ensure and energy storage, according to the described Wind turbines number of units of acquisition and the optimum proportioning acquisition of number of photovoltaic modules honourable by time gross output, obtain the energy-storage units number of optimum proportioning accordingly.
According to an aspect of the present invention, described method also comprises: the connection and/or the disconnection that control energy-storage units according to the energy-storage units number of described optimum proportioning.
According to an aspect of the present invention, described method also comprises: the energy-storage units number that display needs increase and/or reduce.
According to an aspect of the present invention, described method also comprises: the change of sensing Power Output for Wind Power Field, when change exceedes predetermined threshold, first obtain wind energy turbine set by time power stage, wherein Wind turbines number of units is determined value, then obtain photovoltaic field by time power stage, wherein number of photovoltaic modules is variable, according to wind energy turbine set and photovoltaic field by time power stage obtain the number of photovoltaic modules of optimum proportioning; The change of sensing photovoltaic field power output, when change exceedes predetermined threshold, first obtain described photovoltaic field by time power stage, wherein number of photovoltaic modules is determined value, then obtain wind energy turbine set by time power stage, wherein Wind turbines number of units is variable, according to wind energy turbine set and photovoltaic field by time power stage obtain the Wind turbines number of units of optimum proportioning.
According to an aspect of the present invention, the optimum proportioning of described acquisition Wind turbines number of units and number of photovoltaic modules comprise according to wind energy turbine set by time power stage and photovoltaic field by time power stage, by linear programming technique or Newton iteration method, determine Wind turbines number of units and the number of photovoltaic modules of optimum proportioning, wherein: first obtain scene always by time power output P (i): P (i)=P wt(i)+P pv(i), wherein P wt(i) be wind energy turbine set by time power stage; P pv(i) be photovoltaic field by time power stage; P wt(i) or P pvi comprise the variable n representing Wind turbines number of units or number of photovoltaic modules in () respectively, wherein n is integer, and n>=1; Then obtain scene always by time power output standard deviation S: wherein n be by time power output total number, i represents one of them moment; Obtain the Wind turbines number of units corresponding when standard deviation S is minimum or number of photovoltaic modules n.
According to an aspect of the present invention, the energy-storage units number of described acquisition optimum proportioning comprises: when the actual power load curve of acquisition electrical network, obtain the time series Y (i) of this curve; Or when proposing the request needing smooth power to export, by scene by time gross output X (i) smoothing process, obtaining the value is smoothly Y (i); Obtain need energy storage device to carry out regulating crest or trough value A (i): A (i)=| X (i)-Y (i) |; Obtain mean value M and the standard deviation sigma of time series A (i): wherein N be by time power output total number, i represents one of them moment; The probable value ensured as required, obtain theoretical stored energy capacitance C, the C=M+ α σ needed, wherein α is the predetermined coefficient corresponding with probable value; According to the minimum unit capacity u of energy storage, obtain the energy-storage units number k needed: final actual energy-storage units number is obtained after being rounded up by k.
Accompanying drawing explanation
Fig. 1 is the schematic diagram of the wind-light storage complex control system according to the first embodiment;
Fig. 2 is the schematic diagram obtaining optimum proportioning number of photovoltaic modules;
Fig. 3 is the schematic diagram of the wind-light storage complex control system according to the second embodiment;
Fig. 4 is the schematic diagram obtaining optimum proportioning energy-storage units number.
Embodiment
The following stated is better embodiment of the present invention, does not therefore limit protection scope of the present invention.
Wind-light storage complex control system in the application can realize the control in two stages, and one is the control to number of photovoltaic modules in electro-optical system, and two is the control to energy-storage travelling wave tube number in energy-storage system.Wherein, the framework shown in Fig. 1 achieves the control of first stage.
As shown in Figure 1, described wind-light storage complex control system comprises the control appliance 101 being positioned at wind generator system, is positioned at the control appliance 102 of photovoltaic generating system, and be positioned at the comprehensive server 104 of Master Control Room, three is interconnected between two by the network equipment 103.Wind power system control appliance 101, electro-optical system control appliance 102 can adopt the realizations such as back yard industry computer for controlling, special-purpose computer, PC, and comprehensive server 104 realizes by large-scale service computer.The network equipment 103 can be implemented as the network switch, router etc.
No matter be at the beginning of setting up wind-light storage system, or when the state of wind generator system changes, wind-light storage complex control system all can adjust number of photovoltaic modules, energy storage component number in real time, to meet the optimum proportioning of wind-light storage, saves electric power and can meet electricity needs.Certainly, also wind-light storage complex control system can be started to the control of wind-light storage optimum proportioning according to user or Industry Control demand.
Wherein, wind power system control appliance 101 for obtain from its memory or in other control appliances (such as database server) of wind power system Wind turbines power curve, complete 1 year by time wind speed and direction data, Wind turbines number of units and Wind turbines position coordinates, and Digital Topographic Map ', with this obtain wind energy turbine set by time power stage, and by wind energy turbine set by time power stage be sent to comprehensive server 104.Wherein, by professional wind energy software for calculation (as Metrodyn WT software), on the basis considering the reduction coefficients such as Wind turbines wake flow, obtain wind energy turbine set by time power stage.
Electro-optical system control appliance 102 for obtain photovoltaic module power characteristic curve, complete 1 year by time global solar radiation data, photovoltaic module optimum angle of incidence, and as the number of photovoltaic modules of variable, with this obtain photovoltaic field by time power stage, and by photovoltaic place by time power stage be sent to comprehensive server 104.Wherein, by professional photovoltaic software for calculation (as PVSYST software), on the basis considering the reduction coefficients such as photovoltaic module decay, obtain photovoltaic field by time power stage.
Comprehensive server 104 for the wind energy turbine set that receives wind power system control appliance 101 and electro-optical system control appliance 102 and send by time power stage and photovoltaic field by time power stage, determine the number of photovoltaic modules of optimum proportioning.Wherein, describedly determine to draw by linear programming technique or Newton iteration method, specifically comprise:
First obtain scene always by time power output P (i):
P(i)＝P wt(i)+P pv(i)，
Wherein P wt(i) be wind energy turbine set by time power stage; P pv(i) be photovoltaic field by time power stage; P pvi comprise the variable n representing number of photovoltaic modules in (), wherein n is integer, and n>=1;
Then obtain scene always by time power output standard deviation S:
S = 1 N Σ i = 1 N ( P ( i ) - μ ) 2
Wherein n be by time power output total number, within such as 1 year, can be 8760, i and represent one of them moment;
Finally obtain the number of photovoltaic modules corresponding when S is minimum, as the number of photovoltaic modules of optimum proportioning.
The number of photovoltaic modules of the optimum proportioning of acquisition can also be transferred to the control appliance 102 of photovoltaic generating system by comprehensive server 104, electro-optical system control appliance 102 can the connection of automatic control light photovoltaic assembly and/or disconnection according to this information, to realize optimum proportioning.Certainly, electro-optical system control appliance 102 also comprises display, can demonstrate and need the number of photovoltaic modules increasing or reduce to point out staff, thus meet optimum proportioning.
Wind-light storage complex control system can realize this control automatically, such as when increasing or reduce Wind turbines in wind generator system or situation that other make wind generator system power output change occurs, after the sensing element (such as wattmeter etc.) of wind power system control appliance 101 senses this situation, wind power system control appliance 101 automatically start wind energy turbine set by time the acquisition of power and transmission; Comprehensive server 104 obtain wind power system control appliance 101 send wind energy turbine set by time power information after, to electro-optical system control appliance 102 send obtain photovoltaic field by time power stage request; And obtain photovoltaic field by time power stage after, obtain and feed back best number of photovoltaic modules; Photoelectric control equipment 102 controls the connection of photovoltaic module and/or disconnection with this.This programme only for the Wind turbines number of units determined to obtain the number of photovoltaic modules of optimum proportioning, in fact also can according to the Wind turbines number of units of the number of photovoltaic modules determination optimum proportioning determined, concrete means are similar as above, repeat no more here.At this moment, when increasing or reduce photovoltaic module in photovoltaic generating system or situation that other make photovoltaic power generation system output power change occurs, electro-optical system control appliance 102 also can sense this situation and automatically start photovoltaic field by time the acquisition of power and transmission; Comprehensive server 104 obtain electro-optical system control appliance 102 send photovoltaic field by time power information after, to wind power system control appliance 101 send obtain wind energy turbine set by time power stage request; And obtain wind energy turbine set by time power stage after, obtain and feed back best Wind turbines number of units; Wind-powered electricity generation control appliance 101 controls the connection of Wind turbines and/or disconnection with this.
The acquisition means of optimum proportioning number of photovoltaic modules have been shown in Fig. 2.
According to Wind turbines power curve, complete 1 year by time wind speed and direction data, Wind turbines number of units and Wind turbines position coordinates, and Digital Topographic Map ', obtain wind energy turbine set by time power stage; Wherein, such as, by professional wind energy software for calculation (as Metrodyn WT software), on the basis considering the reduction coefficients such as Wind turbines wake flow, obtain wind energy turbine set by time power stage.
According to photovoltaic module power characteristic curve, complete 1 year by time global solar radiation data, photovoltaic module optimum angle of incidence, and as the number of photovoltaic modules of variable, obtain photovoltaic field by time power stage; Wherein, such as, by professional photovoltaic software for calculation (as PVSYST software), on the basis considering the reduction coefficients such as photovoltaic module decay, obtain photovoltaic field by time power stage.
According to wind energy turbine set by time power stage and photovoltaic field by time power stage, by linear programming technique or Newton iteration method, determine the number of photovoltaic modules of optimum proportioning:
Wherein, first obtain scene always by time power output P (i):
P(i)＝P wt(i)+P pv(i)，
Wherein P wt(i) be wind energy turbine set by time power stage; P pv(i) be photovoltaic field by time power stage; P pvi comprise the variable n representing number of photovoltaic modules in (), wherein n is integer, and n>=1;
Then obtain scene always by time power output standard deviation S:
S = 1 N Σ i = 1 N ( P ( i ) - μ ) 2
Wherein n be by time power output total number, within such as 1 year, can be 8760, i and represent one of them moment;
Finally obtain the number of photovoltaic modules corresponding when S is minimum, as the number of photovoltaic modules of optimum proportioning.
Introduce the control of second stage below, the control of second stage is carried out on the basis completing first stage control.
As shown in Figure 3, described wind-light storage complex control system also comprises the control appliance 105 being positioned at energy-storage system.Energy-storage system control appliance 105 and above-mentioned each equipment 101,102, be connected between two by the network equipment 103 between 104.
As described above, after comprehensive server 104 obtains optimum proportioning, electro-optical system control appliance 102 controls connection or the disconnection of photovoltaic module, thus, comprehensive server 104 just can obtain actual scene by time gross output.
Described energy-storage system control appliance 105 is for being supplied to comprehensive server by another parameter, and this parameter can be selected according to actual needs, and one is the actual power load curve of electrical network, one be need level and smooth scene by time gross output request.As can be seen here, in above-mentioned two parameters, first for satisfied actual electricity consumption needs, second for obtaining level and smooth power stage.One of two parameters are sent to comprehensive server 104 by energy-storage system control appliance, and the minimum unit capacity of probable value level and smooth for the curve of output needing to ensure, energy storage is sent to comprehensive server 104.These parameters or value are all be stored in energy-storage system control appliance 105 or in other equipment of being connected with equipment 105, required parameter value can be sent to comprehensive server 104 according to pre-setting by energy-storage system control appliance.
Comprehensive server 104 by electrical network actual power load curve or level and smooth scene by time gross output, actual scene by time gross output, the probable value needing the curve of output that ensures level and smooth and energy storage minimum unit capacity, the energy-storage units number of acquisition optimum proportioning.
Concrete means are as follows:
When the parameter obtained is the actual power load curve of electrical network, obtain the time series Y (i) of this curve;
When the parameter obtained be need level and smooth scene by time gross output request time, scene after the wind-powered electricity generation determined above is superposed with photovoltaic generation by time gross output X (i) smoothing process (gliding smoothing method or High frequency filter method etc.), obtain level and smooth after value be Y (i);
Obtain the crest or trough value A (i) that need energy storage device to carry out regulating:
A(i)＝|X(i)-Y(i)|；
Obtain mean value M and the standard deviation sigma of time series A (i):
M = 1 N Σ i = 1 N A ( i ) ,
σ = 1 N Σ i = 1 N ( A ( i ) - M ) 2 ,
Wherein N be by time power output total number, within such as 1 year, can be 8760, i and represent one of them moment;
The probable value ensured as required, obtain the theoretical stored energy capacitance C needed, wherein C=M+ α σ, wherein α is the predetermined coefficient corresponding with probable value.For the guarantee probability value of 90% and 95%, consider with normal distribution, obtain respectively and ensure that the stored energy capacitance of given output valve 90% and 95% probable value is:
C(90)=M+1.282σ，
C(95)=M+1.645σ；
According to the minimum unit capacity of energy storage, obtain the energy-storage units number k needed:
k = c u ,
For 90% guarantee probability,
Wherein, u is the minimum unit capacity of energy storage, and after being rounded up by k, (as 108.4, being 109 after rounding up) obtains final actual energy-storage units number.
The energy-storage units number of acquisition is sent to energy-storage system control appliance 105 by comprehensive server 104.Energy-storage system control appliance 105 can control connection and/or the disconnection of energy-storage units, to realize optimum proportioning automatically according to this information.Certainly, energy-storage system control appliance 102 also comprises display, can demonstrate and need the energy-storage units number increasing or reduce to point out staff, thus meet optimum proportioning.
The acquisition means of optimum proportioning energy-storage units number have been shown in Fig. 4.
Obtain actual scene by time gross output X (i);
Obtain the actual power load curve of electrical network, obtain the time series Y (i) of this curve; Or to scene by time gross output X (i) smoothing process, obtain level and smooth after value Y (i);
The minimum unit capacity of the probable value that the curve of output that acquisition ensures is level and smooth and energy storage;
According to scene by time gross output X (i), electric loading plot against time sequence or scene by time gross output smooth value Y (i), the minimum unit capacity of the probable value that the curve of output ensured is level and smooth and energy storage, obtains the energy-storage units number of optimum proportioning.
Particularly:
Obtain the crest or trough value A (i) that need energy storage device to carry out regulating:
A(i)＝|X(i)-Y(i)|；
Obtain mean value M and the standard deviation sigma of time series A (i):
M = 1 N Σ i = 1 N A ( i ) ,
σ = 1 N Σ i = 1 N ( A ( i ) - M ) 2 ,
Wherein N be by time power output total number, within such as 1 year, can be 8760, i and represent one of them moment;
The probable value ensured as required, obtain the theoretical stored energy capacitance C needed, wherein C=M+ α σ, wherein α is the predetermined coefficient corresponding with probable value.For the guarantee probability value of 90% and 95%, consider with normal distribution, obtain respectively and ensure that the stored energy capacitance of given output valve 90% and 95% probable value is:
C(90)=M+1.282σ，
C(95)=M+1.645σ；
According to the minimum unit capacity of energy storage, obtain the energy-storage units number k needed:
k = c u ,
For the guarantee probability value of 90%,
Wherein, u is the minimum unit capacity of energy storage, and after being rounded up by k, (as 108.4, being 109 after rounding up) obtains final actual energy-storage units number.
Although this programme take wind generator system as connection and/or disconnection according to controlling photovoltaic module and energy-storage units, but can be also such as foundation with photovoltaic generating system, first determine photovoltaic capacity, then carry out linear programming and obtain installed capacity of wind-driven power, connection and/or the disconnection of Wind turbines and energy-storage units is controlled with this, concrete control device is similar as above, repeats no more here.
Therefore, this programme can be accurate to 1 typhoon group of motors, 1 piece of photovoltaic panel and 1 energy-storage units.Improve accuracy relative to prior art, and real-time, the Automated condtrol to whole wind-light storage system can be accomplished.
It should be noted that embodiment proposed by the invention and application are only the object of explanation, not as limiting the scope of the invention, those skilled in the art can modify to meet actual needs to the specific embodiment of the present invention.

Claims (18)

1. a wind-light storage complex control system, is characterized in that, described system comprises:
Wind power system control appliance, for obtain Wind turbines power curve, complete 1 year by time wind speed and direction data, Wind turbines position coordinates, Digital Topographic Map ' and Wind turbines number of units, with this obtain wind energy turbine set by time power stage;
Electro-optical system control appliance, for obtain photovoltaic module power characteristic curve, complete 1 year by time global solar radiation data, photovoltaic module optimum angle of incidence and number of photovoltaic modules, with this obtain photovoltaic field by time power stage; Wherein, one in described Wind turbines number of units and number of photovoltaic modules is variable, and another is determined value;
Comprehensive server, wind power system control appliance and electro-optical system control appliance is connected to by the network equipment, for obtain described wind energy turbine set by time power stage and photovoltaic field by time power stage, obtain the optimum proportioning of described Wind turbines number of units and number of photovoltaic modules with this, wherein
Described wind power system control appliance comprises wattmeter, described wattmeter for sensing the change of Power Output for Wind Power Field, when change exceedes predetermined threshold, described wind power system control appliance be used for comprehensive server send wind energy turbine set by time power stage; Described comprehensive server for obtain described wind energy turbine set by time power stage after, to electro-optical system control appliance send obtain photovoltaic field by time power stage request, and obtain photovoltaic field by time power stage after, obtain the number of photovoltaic modules of optimum proportioning;
Described electro-optical system control appliance comprises wattmeter, described wattmeter for sensing the change of photovoltaic field power output, when change exceedes predetermined threshold, described electro-optical system control appliance be used for comprehensive server send photovoltaic field by time power stage; Described comprehensive server for obtain described photovoltaic field by time power stage after, to wind power system control appliance send obtain wind energy turbine set by time power stage request, and obtain wind energy turbine set by time power stage after, obtain the Wind turbines number of units of optimum proportioning.
2. wind-light storage complex control system according to claim 1, is characterized in that:
When Wind turbines number of units is variable, when number of photovoltaic modules is determined value, described comprehensive server is also for being sent to wind power system control appliance by the Wind turbines number of units of acquisition, and described wind power system control appliance is used for according to the connection of Wind turbines in described Wind turbines unit number control wind power system and/or disconnection;
When Wind turbines number of units is determined value, when number of photovoltaic modules is variable, described comprehensive server is also for being sent to electro-optical system control appliance by the number of photovoltaic modules of acquisition, and described electro-optical system control appliance is used for the connection and/or the disconnection that control photovoltaic module in electro-optical system according to described number of photovoltaic modules.
3. wind-light storage complex control system according to claim 2, is characterized in that:
Described wind power system control appliance and electro-optical system control appliance have display respectively, are respectively used to show the Wind turbines number of units and number of photovoltaic modules that need to increase and/or reduce.
4. wind-light storage complex control system according to claim 2, is characterized in that:
Described wind-light storage complex control system also comprises energy-storage system control appliance, and described energy-storage system control appliance is connected by the network equipment with comprehensive server.
5. wind-light storage complex control system according to claim 4, is characterized in that:
Described energy-storage system control appliance is used for the request providing the actual power load curve of electrical network or proposition to need smooth power to export to comprehensive server, and described energy-storage system control appliance is also for the minimum unit capacity of the level and smooth probable value of curve of output from needs guarantee to comprehensive server and energy storage that provide;
Described comprehensive server be used for according to obtain described Wind turbines number of units and number of photovoltaic modules optimum proportioning obtain scene by time gross output, and the request receiving the actual power load curve of described electrical network or need smooth power to export, the minimum unit capacity of the probable value that the described curve of output needing to ensure is level and smooth and energy storage, obtains the energy-storage units number of optimum proportioning with this.
6. wind-light storage complex control system according to claim 5, is characterized in that:
Comprehensive server is also for sending to energy-storage system control appliance by the energy-storage units number of optimum proportioning;
Described energy-storage system control appliance is used for the connection and/or the disconnection that control energy-storage units according to the energy-storage units number of described optimum proportioning.
7. wind-light storage complex control system according to claim 6, is characterized in that:
Described energy-storage system control appliance also comprises the display for showing the energy-storage units number that needs increase and/or reduce.
8. wind-light storage complex control system according to claim 4, is characterized in that:
Described wind power system control appliance, electro-optical system control appliance, energy-storage system control appliance are back yard industry computer for controlling, special-purpose computer or personal computer; Described comprehensive server is large server computer; The described network equipment is the network switch or router.
9. wind-light storage complex control system according to claim 1, is characterized in that:
Described comprehensive server specifically for according to wind energy turbine set by time power stage and photovoltaic field by time power stage, by linear programming technique or Newton iteration method, determine Wind turbines number of units and the number of photovoltaic modules of optimum proportioning:
First obtain scene by time gross output:
P(i)＝P wt(i)+P pv(i)，
Wherein P (i) for described scene by time gross output; P wt(i) be wind energy turbine set by time power stage; P pv(i) be photovoltaic field by time power stage; P wt(i) or P pvi comprise the variable n representing Wind turbines number of units or number of photovoltaic modules in () respectively, wherein n is integer, and n>=1;
Then obtain scene by time gross output standard deviation S:
Wherein n be by time power output total number, i represents one of them moment;
Obtain the Wind turbines number of units corresponding when standard deviation S is minimum or number of photovoltaic modules n.
10. wind-light storage complex control system according to claim 5, is characterized in that:
Described comprehensive server specifically for:
When receiving the actual power load curve of electrical network, obtain the time series of this curve; Or when receiving the request needing smooth power to export, by scene by time gross output smoothing process, obtain level and smooth after value;
Obtain the crest or trough value A (i) that need energy storage device to carry out regulating:
A(i)＝|P(i)-Y(i)|；
Wherein P (i) for described scene by time gross output; Y (i) represents when receiving the actual power load curve of electrical network, the time series of this curve of acquisition; Or Y (i) represents when receiving the request needing smooth power to export, by scene by time gross output smoothing process after obtain level and smooth after value;
Obtain mean value M and the standard deviation sigma of time series A (i):
Wherein N be by time power output total number, i represents one of them moment;
The probable value ensured as required, obtain theoretical stored energy capacitance C, the C=M+ α σ needed, wherein α is the predetermined coefficient corresponding with probable value;
According to the minimum unit capacity u of energy storage, obtain the energy-storage units number k needed:
Final actual energy-storage units number is obtained after being rounded up by k.
11. 1 kinds of wind-light storage integrated control methods, is characterized in that, described method comprises:
Obtain Wind turbines power curve, complete 1 year by time wind speed and direction data, Wind turbines position coordinates, Digital Topographic Map ' and Wind turbines number of units, with this obtain wind energy turbine set by time power stage;
Obtain photovoltaic module power characteristic curve, complete 1 year by time global solar radiation data, photovoltaic module optimum angle of incidence and number of photovoltaic modules, with this obtain photovoltaic field by time power stage; Wherein, one in described Wind turbines number of units and number of photovoltaic modules is variable, and another is determined value;
According to wind energy turbine set by time power stage and photovoltaic field by time power stage, obtain the optimum proportioning of Wind turbines number of units and number of photovoltaic modules, wherein
The change of sensing Power Output for Wind Power Field, when change exceedes predetermined threshold, first obtain wind energy turbine set by time power stage, wherein Wind turbines number of units is determined value, then obtain photovoltaic field by time power stage, wherein number of photovoltaic modules is variable, according to wind energy turbine set and photovoltaic field by time power stage obtain the number of photovoltaic modules of optimum proportioning;
The change of sensing photovoltaic field power output, when change exceedes predetermined threshold, first obtain photovoltaic field by time power stage, wherein number of photovoltaic modules is determined value, then obtain wind energy turbine set by time power stage, wherein Wind turbines number of units is variable, according to wind energy turbine set and photovoltaic field by time power stage obtain the Wind turbines number of units of optimum proportioning.
12. wind-light storage integrated control methods according to claim 11, it is characterized in that, described method also comprises:
When Wind turbines number of units is variable, when number of photovoltaic modules is determined value, according to connection and/or the disconnection of Wind turbines in the Wind turbines unit number control wind power system obtained;
When Wind turbines number of units is determined value, when number of photovoltaic modules is variable, control connection and/or the disconnection of photovoltaic module in electro-optical system according to the number of photovoltaic modules obtained.
13. wind-light storage integrated control methods according to claim 12, it is characterized in that, described method also comprises:
Display needs Wind turbines number of units and the number of photovoltaic modules of increase and/or minimizing.
14. wind-light storage integrated control methods according to claim 12, it is characterized in that, described method also comprises:
Obtain request that electrical network actual power load curve or proposition need smooth power to export, obtain the minimum unit capacity of the level and smooth probable value of curve of output that needs ensure and energy storage, according to the described Wind turbines number of units of acquisition and the optimum proportioning acquisition of number of photovoltaic modules honourable by time gross output, obtain the energy-storage units number of optimum proportioning accordingly.
15. wind-light storage integrated control methods according to claim 14, it is characterized in that, described method also comprises:
Connection and/or the disconnection of energy-storage units is controlled according to the energy-storage units number of described optimum proportioning.
16. wind-light storage integrated control methods according to claim 15, it is characterized in that, described method also comprises:
Display needs the energy-storage units number increasing and/or reduce.
17. wind-light storage integrated control methods according to claim 11, it is characterized in that, the optimum proportioning of described acquisition Wind turbines number of units and number of photovoltaic modules comprise according to wind energy turbine set by time power stage and photovoltaic field by time power stage, by linear programming technique or Newton iteration method, determine Wind turbines number of units and the number of photovoltaic modules of optimum proportioning, wherein:
First obtain scene by time gross output:
P(i)＝P wt(i)+P pv(i)，
Wherein P (i) for described scene by time gross output; P wt(i) be wind energy turbine set by time power stage; P pv(i) be photovoltaic field by time power stage; P wt(i) or P pvi comprise the variable n representing Wind turbines number of units or number of photovoltaic modules in () respectively, wherein n is integer, and n>=1;
Then obtain scene by time gross output standard deviation S:
Wherein n be by time power output total number, i represents one of them moment;
Obtain the Wind turbines number of units corresponding when standard deviation S is minimum or number of photovoltaic modules n.
18. wind-light storage integrated control methods according to claim 14, is characterized in that, the energy-storage units number of described acquisition optimum proportioning comprises:
When the actual power load curve of acquisition electrical network, obtain the time series of this curve; Or when proposing the request needing smooth power to export, by scene by time gross output smoothing process, obtain the value smoothly;
Obtain the crest or trough value A (i) that need energy storage device to carry out regulating:
A(i)＝|P(i)-Y(i)|；
Wherein P (i) for described scene by time gross output; Y (i) represents when the actual power load curve of acquisition electrical network, the time series of this curve of acquisition; Or when Y (i) represents the request when proposition needs smooth power to export, by scene by time gross output smoothing process after obtain level and smooth after value;
Obtain mean value M and the standard deviation sigma of time series A (i):
Wherein N be by time power output total number, i represents one of them moment;
The probable value ensured as required, obtain theoretical stored energy capacitance C, the C=M+ α σ needed, wherein α is the predetermined coefficient corresponding with probable value;
According to the minimum unit capacity u of energy storage, obtain the energy-storage units number k needed:
Final actual energy-storage units number is obtained after being rounded up by k.
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