CN113178896A - Fixed-output light storage combined power station installed capacity configuration method and system - Google Patents

Fixed-output light storage combined power station installed capacity configuration method and system Download PDF

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CN113178896A
CN113178896A CN202110502158.9A CN202110502158A CN113178896A CN 113178896 A CN113178896 A CN 113178896A CN 202110502158 A CN202110502158 A CN 202110502158A CN 113178896 A CN113178896 A CN 113178896A
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power
curve
photovoltaic
energy storage
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CN113178896B (en
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魏远
张欢畅
阎欣军
魏燕
孙旭东
周祥
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Northwest Electric Power Design Institute of China Power Engineering Consulting Group
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Northwest Electric Power Design Institute of China Power Engineering Consulting Group
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    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • H02J3/38Arrangements for parallely feeding a single network by two or more generators, converters or transformers
    • H02J3/46Controlling of the sharing of output between the generators, converters, or transformers
    • H02J3/466Scheduling the operation of the generators, e.g. connecting or disconnecting generators to meet a given demand
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • H02J3/28Arrangements for balancing of the load in a network by storage of energy
    • H02J3/32Arrangements for balancing of the load in a network by storage of energy using batteries with converting means
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • H02J3/38Arrangements for parallely feeding a single network by two or more generators, converters or transformers
    • H02J3/381Dispersed generators
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2203/00Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
    • H02J2203/20Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2300/00Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation
    • H02J2300/20The dispersed energy generation being of renewable origin
    • H02J2300/22The renewable source being solar energy
    • H02J2300/24The renewable source being solar energy of photovoltaic origin
    • YGENERAL 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02EREDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E10/00Energy generation through renewable energy sources
    • Y02E10/50Photovoltaic [PV] energy
    • Y02E10/56Power conversion systems, e.g. maximum power point trackers
    • YGENERAL 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02EREDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E70/00Other energy conversion or management systems reducing GHG emissions
    • Y02E70/30Systems combining energy storage with energy generation of non-fossil origin

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  • Power Engineering (AREA)
  • Supply And Distribution Of Alternating Current (AREA)
  • Charge And Discharge Circuits For Batteries Or The Like (AREA)

Abstract

The invention discloses a method and a system for configuring installed capacity of a fixed output light storage combined power station, and provides a method for configuring photovoltaic installed and battery stored energy capacity of the fixed output light storage combined power station aiming at a fixed output power project according to the power generation requirement of the fixed output power, namely power generation power and power generation time interval, wherein firstly, according to the historical solar energy resource condition of the project site, the solar energy meteorological resource with a certain confidence probability is used as input, and a photovoltaic design software is used for calculating and determining a photovoltaic power generation power curve; secondly, calculating and determining the charging power and capacity of the battery for storing energy according to the power generation requirement of the fixed output power supply, the photovoltaic power generation power curve and the operation constraint condition of the energy storage system; and finally, according to the determined photovoltaic and energy storage installed capacity simulation light storage combined output, checking whether the specific power generation requirement of the fixed output power supply is met or not, and the method is small in calculated amount and high in applicability, and has guiding significance and practical value for photovoltaic new energy power generation engineering.

Description

Fixed-output light storage combined power station installed capacity configuration method and system
Technical Field
The invention belongs to the technical field of new energy, and particularly relates to a fixed-output light storage combined power station installed capacity configuration method and system.
Background
Solar energy is green clean renewable energy, a solar photovoltaic power station has the characteristics of environmental protection, short construction period, low requirements on plant sites and the like, and the large-scale construction of the photovoltaic power station on the power supply side is one of the main forms of future clean energy power generation. However, the output of the photovoltaic power station is influenced by solar irradiation and meteorological conditions, and has the characteristics of intermittence, volatility and the like, the controllability of the photovoltaic output is low, the network source coordination is poor, and the photovoltaic output is difficult to be used as a main power supply independently. The battery energy storage system has the characteristics of flexible charge and discharge characteristics and quick response and adjustment, and becomes an important technical means and implementation mode for matching with photovoltaic new energy to generate power and improving the output controllability of a photovoltaic power station.
In recent years, some fixed-output power supply projects appear in succession, and the fixed-output power supplies refer to power supply projects which meet the requirements of plant address ranges and power generation requirements without limiting the types of power generation technologies (such as coal-fired units, gas-fired units, wind power, photovoltaic and the like) according to the planned plant address ranges and the power generation requirements (power generation power and power generation time periods). The photovoltaic-energy storage combined power station overcomes the defect of uncontrollable photovoltaic output, has the characteristics of greenness, reproducibility, cleanness, zero pollution, short construction period and the like, does not need fuel supply and no water source, is particularly suitable for being applied to islands, high-altitude areas and remote areas, and is a potential technical scheme of a fixed output power project, and the determination of the photovoltaic installed capacity and the energy storage installed power/capacity in the photovoltaic-energy storage combined power station is directly related to the power generation requirement of the fixed output power and needs to be accurately and reasonably configured.
Disclosure of Invention
The invention provides a photovoltaic installation and battery energy storage capacity configuration method for a fixed output light storage combined power station aiming at a fixed output power project and according to the power generation requirements (power generation power and power generation time interval) of the fixed output power, firstly, according to the historical solar energy resource conditions of the project site, taking the solar energy meteorological resources with a certain confidence probability as input, and calculating and determining a photovoltaic power generation power curve by utilizing photovoltaic design software; secondly, calculating and determining the charging power and capacity of the battery for storing energy according to the power generation requirement of the fixed output power supply, the photovoltaic power generation power curve and the operation constraint condition of the energy storage system; and finally, verifying whether the specific power generation requirement of the fixed output power source is met or not according to the determined photovoltaic and energy storage installed capacity simulation light storage combined output.
In order to achieve the purpose, the invention adopts the following technical scheme: a fixed output light-storage combined power station installed capacity configuration method specifically comprises the following processes:
historical data G based on solar meteorological resourcescurveCombining a photovoltaic design scheme and an initial photovoltaic installed capacity PiniPhotovoltaic system equipment model selection and alternating current/direct current capacity ratio calculation photovoltaic power generation power curve PcurveSaid solar meteorological resource historical data GcurveAnnotated with its confidence probability;
for the photovoltaic power generation power curve PcurveChecking to obtain photovoltaic installed capacity Ppv
Generating power P according to fixed output powerrequireAnd continuous power generation time interval delta TrequireRequest, construct the target generated power curve PobjFor the photovoltaic power generation power curve PcurveWith the target generated power curve PobjMaking a difference to obtain a simulated operation curve P of the energy storage systembess_ini
According to the simulated operating curve P of the energy storage systembess_iniCalculating to obtain the installed power P of the energy storagebAnd the simulated installed capacity C of the stored energyb_ini
Introducing energy storage operation constraint conditions, and calculating a corrected operation curve P of the energy storage systembess
Corrected operating curve P of energy storage systembessAnd photovoltaic power generationElectric power curve PcurveAdding to obtain a comprehensive operation curve P of the photovoltaic energy storage systemhybrid(ii) a If P ishybridSatisfy the power generation power P of the fixed output power supplyrequireAnd a power generation period DeltaTrequireRequired, then the installed capacity C of energy storagebIs Cb_iniIf the requirement is not met, changing the energy storage simulated installed capacity Cb_iniRecalculating the modified operating curve P of the energy storage systembessUntil the requirement is met, the changed energy storage simulated installed capacity is used as the final energy storage installed capacity Cb
Solar meteorological resource historical data GcurveIncluding solar irradiation value G, temperature T and wind speed V, the solar meteorological resource historical data GcurveCollected one hour apart for each sampling point.
The photovoltaic power generation power curve PcurveThe data point interval of (1) hour/point, include 8760 hours of photovoltaic power generation power data all the year round, the photovoltaic design scheme is group string type, centralized type or distributed type, and the photovoltaic system equipment includes photovoltaic module, photovoltaic inverter, collection flow box, photovoltaic local boost transformer, AC/DC cable and DC/AC capacity ratio.
For the photovoltaic power generation power curve PcurveWhen the verification is carried out, generating power P according to the fixed output power supplyrequireAnd a power generation period DeltaTrequireThe required continuous power generation time interval delta T is searched for 8760h all year roundrequireInner photovoltaic output average minimum time period delta TpvChecking at Δ TpvAverage value P of photovoltaic power generation power in time periodmeanAnd the required generated power PrequireWhether or not the difference Δ P of (D) is [ Δ P ]down,ΔPup]Power interval, Δ PdownFor consideration of the station power consumption and for reserving a lower power limit, Δ P, of a certain design marginupUpper limit of power set to avoid excessive photovoltaic installation, if PmeanMeet the requirement, the installed photovoltaic power PpvIs namely Pini(ii) a If P ismeanLess than Δ PdownReduction of initial photovoltaic installed capacity PiniAnd recalculating to obtain the photovoltaicGenerating curve P of 8760h all year roundcurve
Fixed power supply power generation time interval delta TrequireTaking 1 day as a cycle period, wherein 365 cycle periods are provided all year round, and starting from the moment a to the moment b every day, then:
ΔTi=[ai,bi]0≤ai<bi≤24,i=1,2...,365 (1)
ΔTrequire={ΔTi|i=1,2...,365} (2)
Figure BDA0003056830260000031
Figure BDA0003056830260000032
wherein i represents day i; a isiRepresents day i, time a; biRepresenting day i, time b.
Calculating the energy storage simulated installed capacity Cb_iniAt a plurality of generating periods delta T all year roundrequireWithin, searching the energy storage quasi-operation curve Pbess_iniCorresponding maximum charging power PcmaxAnd maximum discharge power Pdmax,PcmaxAnd PdmaxThe maximum absolute value is the installed power P of the energy storageb(ii) a Several power generation periods delta T throughout the yearrequireWithin, searching the accumulated maximum charge EcmaxWith maximum discharge Edmax,EcmaxAnd EdmaxThe maximum absolute value is the energy storage simulated installed capacity Cb_iniThe method specifically comprises the following steps:
Pd={Pt|Pt>0,Pt∈Pbess_ini},t∈[ai,bi],i=1,2,...,365 (6)
Pdmax=max(Pd) (7)
Pc={Pt|Pt<0,Pt∈Pbess_ini},t∈[ai,bi],i=1,2,...,365 (8)
Pcmax=min(Pc) (9)
Pb=max(Pdmax,|Pcmax|) (10)
Figure BDA0003056830260000041
Figure BDA0003056830260000042
Cb_ini=max(Edmax,|Ecmax|) (13)
in the formula PtRepresenting the energy storage charging/discharging power at the moment t; pdRepresenting the stored energy discharge power; pcRepresenting the stored energy charging power.
According to the energy storage charging efficiency etacDischarge efficiency etadUpper limit of energy storage state of charge (SOC)upAnd energy storage state of charge lower limit SOCdownThe simulated operation curve P of the energy storage systembess_iniStored energy installed power PbAnd the simulated installed capacity C of the stored energyb_iniFor input, a corrected operation curve P of the energy storage system for 8760h all year around in consideration of energy storage operation constraint is calculatedbess,PbessThe method for calculating the power value of each energy storage operation in the curve is original Pbess_iniThe corresponding charging/discharging power value is corrected to replace the original Pbess_iniNumerical values, correction calculation formula are as follows:
SOCdown≤SOCt≤SOCup,t∈[ai,bi]1,2., 365 (formula 14)
Figure BDA0003056830260000043
Figure BDA0003056830260000051
In the formula PdrRepresenting the stored energy corrected discharge power; pcrRepresenting the stored energy modified charging power.
A fixed output light storage combined power station installed capacity configuration system comprises a photovoltaic power generation power curve PcurveModule, photovoltaic installed capacity PpvCalculation module and energy storage system simulated operation curve Pbess_iniCalculation module and energy storage quasi-installed capacity Cb_iniCalculation module and energy storage system correction operation curve PbessA calculation module and a check module;
photovoltaic power generation power curve PcurveModule is based on solar energy meteorological resource historical data GcurveCombining a photovoltaic design scheme and an initial photovoltaic installed capacity PiniPhotovoltaic system equipment model selection and alternating current/direct current capacity ratio calculation photovoltaic power generation power curve Pcurve
Installed photovoltaic capacity PpvThe calculation module is used for calculating the photovoltaic power generation power curve PcurveChecking to obtain photovoltaic installed capacity Ppv
Simulated operating curve P of energy storage systembess_iniThe computing module is used for generating power P according to the fixed output power supplyrequireAnd continuous power generation time interval delta TrequireRequest, construct the target generated power curve PobjFor the photovoltaic power generation power curve PcurveWith the target generated power curve PobjMaking a difference to obtain a simulated operation curve P of the energy storage systembess_ini
Energy storage pseudo-installed capacity Cb_iniThe computing module is used for simulating an operation curve P according to the energy storage systembess_iniCalculating to obtain the installed power P of the energy storagebAnd the simulated installed capacity C of the stored energyb_ini
Corrected operating curve P of energy storage systembessThe calculation module is used for introducing energy storage operation constraint conditions and calculating a corrected operation curve P of the energy storage systembess
The checking module is used for checking the corrected operating curve P of the energy storage systembessTo obtain the finalEnergy storage pseudo-installed capacity Cb_iniSpecifically, the method comprises the following steps: corrected operating curve P of energy storage systembessWith the photovoltaic power generation power curve PcurveAdding to obtain a comprehensive operation curve P of the photovoltaic energy storage systemhybrid(ii) a If P ishybridSatisfy the power generation power P of the fixed output power supplyrequireAnd a power generation period DeltaTrequireRequired, then the installed capacity C of energy storagebIs Cb_iniIf the requirement is not met, changing the energy storage simulated installed capacity Cb_iniRecalculating the modified operating curve P of the energy storage systembessUntil the requirement is met, the changed energy storage simulated installed capacity is used as the final energy storage installed capacity Cb
The invention also provides computer equipment which comprises a processor and a memory, wherein the memory is used for storing the computer executable program, the processor reads part or all of the computer executable program from the memory and executes the computer executable program, and when the processor executes part or all of the computer executable program, the method for configuring the installed capacity of the fixed-output optical storage combined power station can be realized.
The invention provides a computer readable storage medium, wherein a computer program is stored in the computer readable storage medium, and when the computer program is executed by a processor, the computer program can realize the fixed output light storage combined power station installed capacity configuration method.
Compared with the prior art, the invention has at least the following beneficial effects:
according to the method, firstly, according to historical solar energy resource conditions of a project site, solar energy meteorological resources with a certain confidence probability are used as input, and a photovoltaic power generation power curve is calculated and determined; and then, by comprehensively considering the power generation requirement of the fixed output power supply and the operation constraint condition of the energy storage system, calculating and determining the installed photovoltaic power, the installed battery energy power and the capacity, wherein the calculation amount is small, the applicability is strong, and the method has guiding significance and practical value for new photovoltaic energy power generation engineering. Firstly, a power supply project which requires a green clean power generation technology is adopted; the invention is particularly suitable for being applied to islands, high-altitude areas and remote areas.
Drawings
Fig. 1 is a flow chart of calculation of photovoltaic installed capacity and battery energy storage capacity of an implementable optical storage combined power station.
FIG. 2 shows historical data of solar irradiation resources in a project site.
FIG. 3 shows a photovoltaic generation curve P of 8760h all year round for a certain projectcurve
FIG. 4 is a graph of the pseudo-operating curve P of the energy storage systembess
FIG. 5a is a graph showing a light storage combined output curve for a certain continuous 15 days in winter in a certain project;
fig. 5b is a schematic diagram of the light storage combined output curve for a certain continuous 15 days in summer in a certain project.
Detailed Description
The invention is described in further detail below:
1) collecting historical data of solar meteorological resources of project site
Collecting historical data G of the solar irradiation resource of the project site from a weather station or a network weather database of the site of the project sitecurveData points were sampled at 1 hour/point intervals and included 8760 hours of full year solar irradiance data. The data items include the value of solar irradiance G (in units of W/m)2) Temperature T (unit ℃ C.), and wind speed V (unit m/s). Because the illumination resource has certain randomness, the historical solar irradiation data cannot represent the future solar irradiation level, and therefore, the obtained historical solar irradiation resource data GcurveThe confidence probability is indicated, e.g. P90, which represents the annual solar radiation level reaching GcurveThe confidence probability of the system is 90%, and the calculation process adopts the historical data of the solar irradiation resource of P90, namely the probability that the allocated photovoltaic installed equipment and the energy storage capacity meet the power generation requirement of the fixed power supply is 90%.
2) Calculating a photovoltaic annual 8760h power generation curve P under the selected photovoltaic design schemecurve
With step 1)Obtaining historical data G of solar meteorological resourcescurveFor meteorological input, calculating by using photovoltaic design software (such as PVsyst) to obtain photovoltaic power generation power curve Pcurve,PcurveThe data points are spaced at 1 hour/point and should contain 8760 hour full year photovoltaic power generation power data. The method specifically comprises the following steps: initial photovoltaic installed capacity P according to selected photovoltaic design scheme (string, concentrated, distributed), andinithe main equipment of the photovoltaic system is selected, the main equipment of the photovoltaic system comprises a photovoltaic component, a photovoltaic inverter, a junction box, photovoltaic local boosting, a variable alternating current/direct current cable, a direct current/alternating current capacity ratio and the like, and a history curve G of solar meteorological resources of 8760h all year roundcurveFor input, according to the initial photovoltaic installed capacity PiniCalculating to obtain a photovoltaic power generation curve P of 8760h all year round under the selected photovoltaic design schemecurve. At initial calculation, initial photovoltaic installed capacity PiniCan generate power P according to a fixed output power supplyrequireTwice as much.
3) Determining photovoltaic installation P under selected photovoltaic designpv
For the photovoltaic generation curve P obtained in the step 2) for 8760h all year roundcurveChecking according to the power PrequireAnd a power generation period DeltaTrequireThe required continuous power generation time interval delta T is searched for 8760h all year roundrequireInner photovoltaic output average minimum time period delta TpvChecking at Δ TpvAverage value P of photovoltaic power generation power in time periodmeanAnd the required generated power PrequireWhether or not the difference Δ P of (D) is [ Δ P ]down,ΔPup]And (4) power interval. Delta PdownFor consideration of the station power consumption and for reserving a lower power limit, Δ P, of a certain design marginupUpper power limit, Δ P, set to avoid excessive photovoltaic installationdownAnd Δ PupAnd should be set as appropriate according to the specific situation of the station. If P ismeanMeet the requirement, the installed photovoltaic power PpvIs namely PiniEntering step 4); if P ismeanLess than Δ PdownReturning to the step 2), properly increasing the initial photovoltaicInstalled capacity PiniAnd recalculating to obtain a photovoltaic power generation curve P of 8760h all year roundcurve(ii) a If P ismeanGreater than Δ PupReturning to the step 2), properly reducing the initial photovoltaic installed capacity PiniAnd recalculating to obtain a photovoltaic power generation curve P of 8760h all year roundcurve. The specific calculation formula is expressed as:
make the fixed power supply generate electricity for a time period delta TrequireTaking 1 day as a cycle period, wherein 365 (or 364) cycle periods are provided all year round, and starting from a to b every day, then:
ΔTi=[ai,bi]0≤ai<bino more than 24, 1,2, 365 (formula 1)
ATrequire-AT; 1,2.. 365} (formula 2)
Figure BDA0003056830260000081
Figure BDA0003056830260000082
Wherein i represents day i; a isiRepresents day i, time a; biRepresents day i, time b;
4) calculating a simulated operation curve P of the energy storage system for 8760h all year roundbess_ini
Generating power P according to fixed output powerrequireAnd a power generation period DeltaTrequireConstructing a target generating power curve P of 8760h all year round according to requirementsobjThe method specifically comprises the following steps: at the required power generation time period deltaTrequireInner, target generated power curve PobjThe power generation power value is the power generation power P of the fixed output power supplyrequire(ii) a At the required power generation time period deltaTrequireBesides, the target generated power curve PobjThe power generation power value is 0; according to the fixed output power requirement, PrequireMay be a certain fixed output power value, or may be associated with the power generation time interval Δ TrequireAn associated variable output power sequence.Constructed target generated power curve Pobj8760 hours a year should be included, representing 8760 hours a year target generated power with data points at 1 hour/point intervals. For the constructed target generated power curve PobjAnd step 2) to obtain a photovoltaic power generation curve P of 8760h all year roundcurveMaking a difference to obtain a simulated operation curve P of the energy storage system for 8760h all yearbess_ini。Pbess_iniThe positive value represents energy storage discharge, and the negative value represents energy storage charge.
Pbess_ini=Pobj-Pcurve(formula 5)
5) Calculating the installed power P of stored energybAnd the simulated installed capacity C of the stored energyb_ini
Simulating an operation curve P of the energy storage system obtained in the step 4) for 8760h all year roundbess_iniAnalyzing to obtain the installed power P of the stored energybAnd the simulated installed capacity C of the stored energyb_ini. The method specifically comprises the following steps: several power generation periods delta T throughout the yearrequireWithin, searching the energy storage quasi-operation curve Pbess_iniCorresponding maximum charging power PcmaxAnd maximum discharge power Pdmax,PcmaxAnd PdmaxThe maximum absolute value is the installed power P of the energy storageb(ii) a Several power generation periods delta T throughout the yearrequireWithin, searching the accumulated maximum charge EcmaxWith maximum discharge Edmax,EcmaxAnd EdmaxThe maximum absolute value is the energy storage simulated installed capacity Cb_ini
Pd={Pt|Pt>0,Pt∈Pbess_ini},t∈[ai,bi]1,2., 365 (formula 6)
Pdmax=max(Pd) (formula 7)
Pc={Pt|Pt<0,Pt∈Pbess_ini},t∈[ai,bi]1,2., 365 (formula 8)
Pcmax=min(Pc) (formula 9)
Pb=max(Pdmax,|PcmaxI (formula 10)
Figure BDA0003056830260000091
Figure BDA0003056830260000092
Cb_ini=max(Edmax,|EcmaxI (formula 13)
In the formula PtRepresenting the energy storage charging/discharging power at the moment t; pdRepresenting the stored energy discharge power; pcRepresenting the stored energy charging power;
6) considering energy storage operation constraints, calculating a corrected operation curve P of the energy storage system for 8760h all year roundbess
According to the energy storage charging efficiency etacDischarge efficiency etadUpper limit of energy storage state of charge (SOC)upAnd energy storage state of charge lower limit SOCdownThe simulated operation curve P of the energy storage system for 8760h all year round obtained in the step 4)bess_iniThe stored energy installed power P obtained in the step 5)bAnd the simulated installed capacity C of the stored energyb_iniFor input, a corrected operation curve P of the energy storage system for 8760h all year around in consideration of energy storage operation constraint is calculatedbess。PbessThe method for calculating the power value of each energy storage operation in the curve is original Pbess_iniThe corresponding charging/discharging power value is corrected to replace the original Pbess_iniNumerical values, correction calculation formula are as follows:
SOCdown≤SOCt≤SOCup,t∈[ai,bi]1,2., 365 (formula 14)
Figure BDA0003056830260000101
Figure BDA0003056830260000102
In the formula PdrRepresenting the stored energy corrected discharge power; pcrRepresenting the stored energy corrected charging power;
7) determining the installed capacity C of the stored energyb
Correcting an operation curve P of the energy storage system obtained in the step 6) for 8760h all year roundbessThe photovoltaic generation curve P obtained in the step 2) for 8760h all year roundcurveAdding to obtain a comprehensive operation curve P of the photovoltaic energy storage system of 8760h all yearhybridChecking PhybridThe power generation time delta T required for 8760h all year roundrequireWhether the power P of the power supply with fixed output is satisfiedrequireIf the requirement is not met, returning to the step 6), and properly increasing the energy storage simulated installed capacity Cb_iniAnd recalculating the comprehensive operation curve P of the energy storage system for 8760h all year roundbess(ii) a If the requirement is met, the installed capacity C of the energy storage is obtainedbIs namely Cb_ini
Phybrid=Pcurve+Pbess(formula 17)
In summary, according to the above calculation steps, the photovoltaic installation P is finally obtainedpvStored energy installed power PbAnd the installed capacity of the energy storage is Cb. The calculation process flow chart is shown in figure 1.
The invention is further illustrated by the following specific examples:
taking a fixed output power project in a certain area as an example, the power generation power requirement of the fixed output power is as follows: the power generation time period is 06:00 to 23:00 per day, and the power generation duration is 17 hours per day. The photovoltaic and electric energy storage technology is adopted as the technical scheme of the fixed output power supply. The selected photovoltaic design is: the scheme of the double-sided photovoltaic module, the group string type inverter and the single-shaft tracking type support is that the direct current/alternating current capacity ratio is 1.2.
1) Collecting historical data of solar meteorological resources of project site
Historical solar irradiation resource data Gcurve of the project site is collected through a meteorological database, the sampling interval of data points is 1 hour/point, and the data comprises solar irradiation data of 8760 hours all year round. Wherein the annual 8760h curve of the solar irradiance value is shown in figure 2. From fig. 2, it can be preliminarily judged that the time period 3300h-4700h is the lowest time period of the annual photovoltaic power generation power.
2) Calculating a photovoltaic annual 8760h power generation curve P under the selected photovoltaic design schemecurve
3) Determining photovoltaic installation P under selected photovoltaic designpv
Obtaining historical data G of solar meteorological resources by the step 1)curveFor input, a photovoltaic power generation power curve P is calculated and obtained by utilizing photovoltaic design software (PVsyst)curve. Installed photovoltaic capacity PiniAfter cyclic adjustment of step 2) and step 3), the MW was determined to be 203.2 MW. FIG. 3 is a generating curve P of 8760h for a yearcurve. Taking into account Δ P in the calculationdown=2MW,ΔPup=4MW。
4) Calculating a simulated operation curve P of the energy storage system for 8760h all year roundbess_ini
Constructing a target generated power curve P of 8760h all year round according to the requirement of the fixed output power project on the generation time period all year roundobjWherein the corresponding target power generation value is 50MW every 06: 00-23: 00 days, and the target power generation value is set to 0MW in the rest periods; for the constructed target generated power curve PobjGenerating curve P of photovoltaic 8760h all year roundcurveMaking a difference to obtain a simulated operation curve P of the energy storage system for 8760h all yearbess_ini. FIG. 4 is a simulated operation curve P of the energy storage system in a period of 3300h-4700h all year roundbess_ini。Pbess_iniThe positive value represents energy storage discharge, and the negative value represents energy storage charge.
5) Calculating the installed power P of stored energybAnd the simulated installed capacity C of the stored energyb_ini
Simulating an operation curve P of the energy storage system obtained in the step 4) for 8760h all year roundbess_iniAnalyzing, and calculating according to formula (6) -formula (13) to obtain the installed energy storage power Pb100MW, energy storage pseudo-installed capacity Cb_ini=541MWh。
6) Considering energy storage operation constraints, calculating a corrected operation curve P of the energy storage system for 8760h all year roundbess
7) Determining the installed capacity C of the stored energyb
Setting the charging efficiency eta of stored energyc0.92, discharge efficiency ηd0.92, upper limit of energy storage state of charge SOCup95% lower limit of the energy storage state of charge SOCdownObtaining a corrected operating curve P of the energy storage system of 8760h all year round as 10 percentbess. Obtaining the installed energy capacity C by calculation according to the formula (14) to the formula (16)b602 MWh. Fig. 5a and 5b are light-storage combined output curves of continuous 15 days in winter and summer, respectively, and it can be seen from the graphs that the light-storage combined system configured according to the method can meet the power generation requirement of the fixed output power source.
The embodiment shows that the patent provides a photovoltaic installation and battery energy storage capacity configuration method for a fixed output light storage combined power station aiming at a fixed output power project. According to historical solar energy resource conditions of a project site, taking solar energy meteorological resources with a certain confidence probability as input, and calculating and determining a photovoltaic power generation power curve by utilizing photovoltaic design software; and then, calculating and determining the installed photovoltaic power, the installed battery energy storage power and the capacity by comprehensively considering the power generation requirement of the fixed output power supply and the operation constraint conditions of the energy storage system. The method is small in calculated amount and high in applicability, and has guiding significance and practical value for photovoltaic new energy power generation engineering.
The invention can also provide a computer device, which comprises a processor and a memory, wherein the memory is used for storing a computer executable program, the processor reads part or all of the computer executable program from the memory and executes the computer executable program, and when the processor executes part or all of the computer executable program, the method for configuring the installed capacity of the fixed-output optical storage combined power station can be realized.
In another aspect, the present invention provides a computer-readable storage medium, in which a computer program is stored, and when the computer program is executed by a processor, the method for configuring installed capacity of a fixed-output optical storage combined power plant according to the present invention can be implemented.
The computer equipment can be an onboard computer, a notebook computer, a tablet computer, a desktop computer, a mobile phone or a workstation.
The processor may be a Central Processing Unit (CPU), a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), or an off-the-shelf programmable gate array (FPGA).
The memory of the invention can be an internal storage unit of a vehicle-mounted computer, a notebook computer, a tablet computer, a desktop computer, a mobile phone or a workstation, such as a memory and a hard disk; external memory units such as removable hard disks, flash memory cards may also be used.
Computer-readable storage media may include computer storage media and communication media. Computer storage media includes volatile and nonvolatile, removable and non-removable media implemented in any method or technology for storage of information such as computer readable instructions, data structures, program modules or other data. The computer-readable storage medium may include: a Read Only Memory (ROM), a Random Access Memory (RAM), a Solid State Drive (SSD), or an optical disc. The Random Access Memory may include a resistive Random Access Memory (ReRAM) and a Dynamic Random Access Memory (DRAM).
According to historical solar energy resource conditions of a project site, taking solar energy meteorological resources with a certain confidence probability as input, and calculating and determining a photovoltaic power generation power curve by utilizing photovoltaic design software; and then, the photovoltaic installed power, the battery energy storage installed power and the capacity are calculated and determined by comprehensively considering the power generation requirement of the fixed output power supply and the operation constraint condition of the energy storage system, the calculation amount is small, the applicability is strong, and the method has guiding significance and practical value for the photovoltaic new energy power generation project.
While the invention has been described in further detail with reference to specific preferred embodiments thereof, it will be understood by those skilled in the art that various changes in form and details may be made therein without departing from the spirit and scope of the invention as defined by the appended claims.

Claims (10)

1. A fixed output light-storage combined power station installed capacity configuration method is characterized by comprising the following specific processes:
historical data G based on solar meteorological resourcescurveCombining a photovoltaic design scheme and an initial photovoltaic installed capacity PiniPhotovoltaic system equipment model selection and alternating current/direct current capacity ratio calculation photovoltaic power generation power curve PcurveSaid solar meteorological resource historical data GcurveAnnotated with its confidence probability;
for the photovoltaic power generation power curve PcurveChecking to obtain photovoltaic installed capacity Ppv
Generating power P according to fixed output powerrequireAnd continuous power generation time interval delta TrequireRequest, construct the target generated power curve PobjFor the photovoltaic power generation power curve PcurveWith the target generated power curve PobjMaking a difference to obtain a simulated operation curve P of the energy storage systembess_ini
According to the simulated operating curve P of the energy storage systembess_iniCalculating to obtain the installed power P of the energy storagebAnd the simulated installed capacity C of the stored energyb_ini
Introducing energy storage operation constraint conditions, and calculating a corrected operation curve P of the energy storage systembess
Corrected operating curve P of energy storage systembessWith the photovoltaic power generation power curve PcurveAdding to obtain a comprehensive operation curve P of the photovoltaic energy storage systemhybrid(ii) a If P ishybridSatisfy the power generation power P of the fixed output power supplyrequireAnd a power generation period DeltaTrequireRequired, then the installed capacity C of energy storagebIs Cb_iniIf the requirement is not met, changing the energy storage simulated installed capacity Cb_iniRecalculating the modified operating curve P of the energy storage systembessUntil the requirement is met, the changed energy storage simulated installed capacity is used as the final energy storage installed capacity Cb
2. The fixed-output light-storage combined power plant installed capacity configuration method of claim 1, wherein solar meteorological resource historical data GcurveIncluding solar irradiation value G, temperature T and wind speed V, the solar meteorological resource historical data GcurveCollected one hour apart for each sampling point.
3. The method of claim 1, wherein the photovoltaic power generation power curve P is a fixed output light-storage combined power plant installed capacity curvecurveThe data point interval of (1) hour/point, include 8760 hours of photovoltaic power generation power data all the year round, the photovoltaic design scheme is group string type, centralized type or distributed type, and the photovoltaic system equipment includes photovoltaic module, photovoltaic inverter, collection flow box, photovoltaic local boost transformer, AC/DC cable and DC/AC capacity ratio.
4. The method of claim 1, wherein the power curve P is a photovoltaic power curvecurveWhen the verification is carried out, generating power P according to the fixed output power supplyrequireAnd a power generation period DeltaTrequireThe required continuous power generation time interval delta T is searched for 8760h all year roundrequireInner photovoltaic output average minimum time period delta TpvChecking at Δ TpvAverage value P of photovoltaic power generation power in time periodmeanAnd the required generated power PrequireWhether or not the difference Δ P of (D) is [ Δ P ]down,ΔPup]Power interval, Δ PdownFor consideration of the station power consumption and for reserving a lower power limit, Δ P, of a certain design marginupUpper limit of power set to avoid excessive photovoltaic installation, if PmeanMeet the requirement, the installed photovoltaic power PpvIs namely Pini(ii) a If P ismeanLess than Δ PdownReduction of initial photovoltaic installed capacity PiniAnd recalculating to obtain a photovoltaic power generation curve P of 8760h all year roundcurve
5. According to claim 4The method for configuring installed capacity of fixed-output light-storage combined power station is characterized in that the fixed power supply power generation time interval delta TrequireTaking 1 day as a cycle period, wherein 365 cycle periods are provided all year round, and starting from the moment a to the moment b every day, then:
ΔTi=[ai,bi]0≤ai<bi≤24,i=1,2...,365 (1)
ΔTrequire={ΔTi|i=1,2...,365} (2)
Figure FDA0003056830250000021
Figure FDA0003056830250000022
wherein i represents day i; a isiRepresents day i, time a; biRepresenting day i, time b.
6. The fixed-output light-storage combined power plant installed capacity configuration method of claim 1, characterized in that the calculated storage energy simulated installed capacity Cb_iniAt a plurality of generating periods delta T all year roundrequireWithin, searching the energy storage quasi-operation curve Pbess_iniCorresponding maximum charging power PcmaxAnd maximum discharge power Pdmax,PcmaxAnd PdmaxThe maximum absolute value is the installed power P of the energy storageb(ii) a Several power generation periods delta T throughout the yearrequireWithin, searching the accumulated maximum charge EcmaxWith maximum discharge Edmax,EcmaxAnd EdmaxThe maximum absolute value is the energy storage simulated installed capacity Cb_iniThe method specifically comprises the following steps:
Pd={Pt|Pt>0,Pt∈Pbess_ini},t∈[ai,bi],i=1,2,...,365 (6)
Pdmax=max(Pd) (7)
Pc={Pt|Pt<0,Pt∈Pbess_ini},t∈[ai,bi],i=1,2,...,365 (8)
Pcmax=min(Pc) (9)
Pb=max(Pdmax,|Pcmax|) (10)
Figure FDA0003056830250000031
Figure FDA0003056830250000032
Cb_ini=max(Edmax,|Ecmax|) (13)
in the formula PtRepresenting the energy storage charging/discharging power at the moment t; pdRepresenting the stored energy discharge power; pcRepresenting the stored energy charging power.
7. The fixed-output optical-storage combined power plant installed capacity configuration method according to claim 1, characterized in that according to the stored energy charging efficiency ηcDischarge efficiency etadUpper limit of energy storage state of charge (SOC)upAnd energy storage state of charge lower limit SOCdownThe simulated operation curve P of the energy storage systembess_iniStored energy installed power PbAnd the simulated installed capacity C of the stored energyb_iniFor input, a corrected operation curve P of the energy storage system for 8760h all year around in consideration of energy storage operation constraint is calculatedbess,PbessThe method for calculating the power value of each energy storage operation in the curve is original Pbess_iniThe corresponding charging/discharging power value is corrected to replace the original Pbess_iniNumerical values, correction calculation formula are as follows:
SOCdown≤SOCt≤SOCup,t∈[ai,bi],i=1,2.., 365 (formula 14)
Figure FDA0003056830250000033
Figure FDA0003056830250000034
In the formula PdrRepresenting the stored energy corrected discharge power; pcrRepresenting the stored energy modified charging power.
8. A fixed output light storage combined power station installed capacity configuration system is characterized by comprising a photovoltaic power generation power curve PcurveModule, photovoltaic installed capacity PpvCalculation module and energy storage system simulated operation curve Pbess_iniCalculation module and energy storage quasi-installed capacity Cb_iniCalculation module and energy storage system correction operation curve PbessA calculation module and a check module;
photovoltaic power generation power curve PcurveModule is based on solar energy meteorological resource historical data GcurveCombining a photovoltaic design scheme and an initial photovoltaic installed capacity PiniPhotovoltaic system equipment model selection and alternating current/direct current capacity ratio calculation photovoltaic power generation power curve Pcurve
Installed photovoltaic capacity PpvThe calculation module is used for calculating the photovoltaic power generation power curve PcurveChecking to obtain photovoltaic installed capacity Ppv
Simulated operating curve P of energy storage systembess_iniThe computing module is used for generating power P according to the fixed output power supplyrequireAnd continuous power generation time interval delta TrequireRequest, construct the target generated power curve PobjFor the photovoltaic power generation power curve PcurveWith the target generated power curve PobjMaking a difference to obtain a simulated operation curve P of the energy storage systembess_ini
Energy storage pseudo-installed capacity Cb_iniThe computing module is used for storing energy according toSystem pseudo-operation curve Pbess_iniCalculating to obtain the installed power P of the energy storagebAnd the simulated installed capacity C of the stored energyb_ini
Corrected operating curve P of energy storage systembessThe calculation module is used for introducing energy storage operation constraint conditions and calculating a corrected operation curve P of the energy storage systembess
The checking module is used for checking the corrected operating curve P of the energy storage systembessTo obtain the final energy storage simulated installed capacity Cb_iniSpecifically, the method comprises the following steps: corrected operating curve P of energy storage systembessWith the photovoltaic power generation power curve PcurveAdding to obtain a comprehensive operation curve P of the photovoltaic energy storage systemhybrid(ii) a If P ishybridSatisfy the power generation power P of the fixed output power supplyrequireAnd a power generation period DeltaTrequireRequired, then the installed capacity C of energy storagebIs Cb_iniIf the requirement is not met, changing the energy storage simulated installed capacity Cb_iniRecalculating the modified operating curve P of the energy storage systembessUntil the requirement is met, the changed energy storage simulated installed capacity is used as the final energy storage installed capacity Cb
9. A computer device, comprising a processor and a memory, wherein the memory is used for storing a computer executable program, the processor reads part or all of the computer executable program from the memory and executes the computer executable program, and the processor can realize the method for configuring the installed capacity of the fixed-output light-storage combined power station according to any one of claims 1 to 7 when executing part or all of the computer executable program.
10. A computer-readable storage medium, wherein a computer program is stored in the computer-readable storage medium, and when the computer program is executed by a processor, the method for configuring the installed capacity of the fixed-output optical storage combined power plant according to any one of claims 1 to 7 is implemented.
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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114492084A (en) * 2022-03-29 2022-05-13 长江勘测规划设计研究有限责任公司 Photovoltaic power station generation hour number estimation model based on capacity-proportion comparison and selection

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103269091A (en) * 2013-06-06 2013-08-28 山东电力工程咨询院有限公司 Wind-solar energy storage capacity configuring method based on wind-solar energy average output curve
CN107423852A (en) * 2017-07-24 2017-12-01 华北电力大学(保定) A kind of light storage combined plant optimizing management method of meter and typical scene
CN109755967A (en) * 2019-03-26 2019-05-14 安徽工程大学 The Optimal Configuration Method of light-preserved system in a kind of power distribution network
EP3657409A1 (en) * 2018-11-23 2020-05-27 Total Solar Computer-implemented method of providing technical sizing parameters of an energy supply system, computer program product for providing such technical sizing parameters, and computer system for providing such an energy supply system
CN112084652A (en) * 2020-09-07 2020-12-15 中国电力工程顾问集团西北电力设计院有限公司 Wind-solar-storage complementary power generation system capacity configuration calculation method and system
CN112366753A (en) * 2020-11-27 2021-02-12 国家电网有限公司 Light-storage combined operation economic optimal control method

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103269091A (en) * 2013-06-06 2013-08-28 山东电力工程咨询院有限公司 Wind-solar energy storage capacity configuring method based on wind-solar energy average output curve
CN107423852A (en) * 2017-07-24 2017-12-01 华北电力大学(保定) A kind of light storage combined plant optimizing management method of meter and typical scene
EP3657409A1 (en) * 2018-11-23 2020-05-27 Total Solar Computer-implemented method of providing technical sizing parameters of an energy supply system, computer program product for providing such technical sizing parameters, and computer system for providing such an energy supply system
CN109755967A (en) * 2019-03-26 2019-05-14 安徽工程大学 The Optimal Configuration Method of light-preserved system in a kind of power distribution network
CN112084652A (en) * 2020-09-07 2020-12-15 中国电力工程顾问集团西北电力设计院有限公司 Wind-solar-storage complementary power generation system capacity configuration calculation method and system
CN112366753A (en) * 2020-11-27 2021-02-12 国家电网有限公司 Light-storage combined operation economic optimal control method

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
杨锡运;刘玉奇;李建林;: "基于四分位法的含储能光伏电站可靠性置信区间计算方法", 电工技术学报, no. 15 *

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114492084A (en) * 2022-03-29 2022-05-13 长江勘测规划设计研究有限责任公司 Photovoltaic power station generation hour number estimation model based on capacity-proportion comparison and selection

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