CN107294130A - A kind of wind storage generating black starting-up system and its energy storage configuration method - Google Patents
A kind of wind storage generating black starting-up system and its energy storage configuration method Download PDFInfo
- Publication number
- CN107294130A CN107294130A CN201710504995.9A CN201710504995A CN107294130A CN 107294130 A CN107294130 A CN 107294130A CN 201710504995 A CN201710504995 A CN 201710504995A CN 107294130 A CN107294130 A CN 107294130A
- Authority
- CN
- China
- Prior art keywords
- mrow
- wind
- msubsup
- wind turbines
- msub
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 238000004146 energy storage Methods 0.000 title claims abstract description 77
- 238000000034 method Methods 0.000 title claims abstract description 13
- 230000005611 electricity Effects 0.000 claims abstract description 41
- 230000000694 effects Effects 0.000 claims abstract description 4
- 230000006698 induction Effects 0.000 claims description 8
- 238000013461 design Methods 0.000 claims description 7
- 238000004364 calculation method Methods 0.000 claims description 4
- 208000037466 short stature, oligodontia, dysmorphic facies, and motor delay Diseases 0.000 claims description 4
- 230000003993 interaction Effects 0.000 claims description 3
- 238000012544 monitoring process Methods 0.000 claims description 3
- 238000012360 testing method Methods 0.000 claims description 3
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims description 3
- 238000010276 construction Methods 0.000 abstract 1
- 238000005516 engineering process Methods 0.000 description 3
- 230000007935 neutral effect Effects 0.000 description 3
- 238000011084 recovery Methods 0.000 description 3
- 238000011160 research Methods 0.000 description 2
- 241001672018 Cercomela melanura Species 0.000 description 1
- 230000004913 activation Effects 0.000 description 1
- 238000004458 analytical method Methods 0.000 description 1
- 238000013528 artificial neural network Methods 0.000 description 1
- 238000010219 correlation analysis Methods 0.000 description 1
- 230000005684 electric field Effects 0.000 description 1
- 238000002474 experimental method Methods 0.000 description 1
- 239000004744 fabric Substances 0.000 description 1
- 230000000977 initiatory effect Effects 0.000 description 1
- 238000009434 installation Methods 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
- 238000005070 sampling Methods 0.000 description 1
- 238000011425 standardization method Methods 0.000 description 1
Classifications
-
- H02J3/386—
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
- H02J2203/20—Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
-
- 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
- Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
- Y02B10/00—Integration of renewable energy sources in buildings
- Y02B10/30—Wind power
-
- 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
Landscapes
- Control Of Eletrric Generators (AREA)
- Supply And Distribution Of Alternating Current (AREA)
Abstract
A kind of wind storage electricity generation system of the present invention, it is characterized in, energy storage cabinet is connected in the Wind turbines house transformator high-pressure side of setting, during black starting-up, Wind turbines by energy storage cabinet for setting are powered from electricity system, now complete whole wind power plant black starting-up by the energy storage of low capacity.Its method includes：Wind turbines boot sequence plan model, unit starting order are set up, energy storage configuration capacity model is set up and sets up energy storage configuration placement model.The wind storage generating black starting-up system of the present invention has simple in construction, high reliability.The energy storage configuration method of the wind storage generating black starting-up system provided is scientific and reasonable, and strong applicability, effect is good.
Description
Technical field
It is a kind of wind storage generating black starting-up system and its energy storage configuration side the present invention relates to power grid"black-start" technical field
Method.
Background technology
After black starting-up refers to whole system because of fault outage, independent of other system help, opened certainly by having in system
The startup of kinetic force unit drives the unit of non self starting, gradually expands system power supply scope, finally realizes whole system
The process of recovery.
China's local power net wind-powered electricity generation installation accounting is improved year by year and wind-resources condition is excellent, as wind generating technology is very big
Ground improves, and coordinates energy storage technology make it that the voltage and power of wind power plant output are more steady, wind storage system possesses automatic generation control
System and Reactive-power control ability, participate in can reducing during black starting-up switching manipulation and also can leading phase operation, to have a very wide distribution
Facilitate the wind power plant of power network system subdivision to configure energy storage, it is possessed black start-up ability auxiliary power grid black starting-up and will be helpful to expansion
Big startup power supply range of choice, has important Research Significance to improving local power net recovery efficiency.
However, because current energy storage cost is relatively high, lacking store up electricity generation system for black starting-up pattern leeward both at home and abroad
Energy storage Research on configuration.Wind turbines are provided by energy storage from electricity system power auxiliary unit starting, and by energy storage and unit to make
Start other units for original power, and then complete wind power plant black starting-up.Based on single unit from electricity system power and unit
Can generated energy determine stored energy capacitance, optimize energy storage cloth in conjunction with spatial distribution in wind power plant of each unit wind speed, power output
Office, further completes to consider the wind power plant unit starting sequential program(me) that unit set end voltage is stable.This method can rely on smaller
The energy storage of capacity meets wind power plant black starting-up requirement.
The content of the invention
The purpose of the present invention is：Overcome the shortcomings of that existing local power net lacks in terms of black starting-up power supply that there is provided a kind of structure
Simply, the high wind storage generating black starting-up system of reliability；And providing scientific and reasonable, strong applicability, the good wind storage of effect generates electricity black
The energy storage configuration method of activation system.
The first technical scheme used to achieve the above object is that a kind of wind stores up electricity generation system, it is characterized in that, in setting
Wind turbines house transformator high-pressure side connection energy storage cabinet, during black starting-up, by energy storage cabinet for setting Wind turbines from electricity consumption
Hereafter system power supply, assistant starting, then makes the Wind turbines joint energy storage of setting as original power and starts other wind turbines
Group, final realize completes whole wind power plant black starting-up by the energy storage of low capacity.
Described Wind turbines type is double-fed wind power generator group DFIG.
The second technical scheme used to achieve the above object is that a kind of energy storage of wind storage generating black starting-up system is configured
Method, it is characterized in that, it includes herein below：
1) Wind turbines boot sequence plan model is set up
Change that Wind turbines are idle influences the relation with wind power plant collector system topology on other Wind turbines set end voltages
Represented by formula (1)：
In formula,Respectively induction reactance and impedance of the j-th strip collection electric line First Wind turbines to collection bus；X
For the induction reactance between the adjacent unit of same collection electric line；ULowFor collection bus voltage.For kth typhoon in j-th strip collection electric line
The set end voltage variable quantity of group of motors；For the idle work variable quantity of the i-th typhoon group of motors in j-th strip collection electric line；For
The set end voltage variable quantity of kth typhoon group of motors in the s articles collection electric line；N-th typhoon group of motors in j-th strip collection electric line
Idle work variable quantity,
Then in double-fed fan motor unit Reactive-power control limit of power, the set end voltage of Wind turbines, which falls Filters with Magnitude Constraints, to expire
Foot formula (2)：
In formula,Under idle work variable quantity when starting for Wind turbines to be launched, case of heavy load, 0.1pu generator terminal electricity
Pressure fluctuation can cause Wind turbines to shut down off-grid, therefore reliable to ensure to start in the particular time of the black starting-up supported without power network
Property, retain certain allowance, set end voltage, which falls, takes 0.06pu；
2) unit starting order
Wind turbines on same current collection/generating circuit:After the Wind turbines for configuring energy storage preferentially start, other wind-powered electricity generations
Unit is by it apart from bus rod nX<(n+1) X sequentially starts from the near to the remote；
Different collection electric lines:Do not configure energy storage other collection electric lines, by apart from bus rod, that is, collect station by closely to
Far Each generating circuit of smoothly startup；
3) energy storage configuration capacity model is set up
Assuming that minute level wind speed it is unchanged, Wind turbines can continuously start and each typhoon group of motors startup time and startup
Ability is identical, then starts Wind turbines power output PwRepresented by following formula (3)：
Wherein, R is wind mill wind wheel radius, m；ρ is atmospheric density, takes normal atmosphere to depress atmospheric density ρ=1.225；
VmFor mean wind speed, m/s in the initial Wind turbines rack load pressure maximum period；CpFor power coefficient, it is considered to which wake flow is imitated
Should, take the average wind energy utilization efficiency C of wind power plantp=0.48；
Blower fan power output PwWith Wind turbines quantity n relation can be started simultaneously by following formula (4) expression：
Wherein, PZTo start Wind turbines from electricity system power, PZ-ImAnd PZ-RWind turbines respectively to be launched are used by oneself
Electric system asynchronous electric acc power and other equipment power, for same model Wind turbines PZ=PZ-Im+PZ-R；α is small-sized hair
Group of motors directly initiates Capacity Margin during small-power asynchronous motor, is taken by GB50052-2009 Code for design of electric power supply systems
α=6.5；
Incremental relations and wind-powered electricity generation of the Wind turbines quantity x of energy storage with starting Wind turbines quantity n simultaneously need to initially be configured
Field starts time efficiency constraint such as following formula (5)：
Wherein, k is starts batch, and N is wind power plant unit quantity, tfIt is Wind turbines from state to be launched to start completion
The total duration of stable output, t is typically taken according to actual wind power plant operational monitoring dataf=80s.TallFor wind power plant starting efficiency
Time-constrain, water intaking group of motors starts to the duration black startup test data T of stable outputall=4min；
The Wind turbines number of units x of required initial configuration energy storage is calculated by formula (1)~formula (3), then energy storage configuration capacity
CSSuch as following formula (6)：
CS=xgPCS-N (6)
Wherein PCS-NFor energy storage rated power PCS-N=α PZ-Im+PZ-R；
4) energy storage configuration placement model is set up
Using to parameter attribute substantially and the self-organizing feature of nonlinear Distribution information Effective selection that mixes of interaction reflects
Neutral net (Self-organizing feature Map, SOFM) algorithm is penetrated, with wind turbine wind speed, power output, wind speed
It is that boundary condition is classified to the blower fan of wind power plant with the matching degree of power output, i.e. wind energy utilization efficiency, then to having divided
The Wind turbines of class do correlation calculations, and energy storage configuration is carried out from big to small by correlation factor to the Wind turbines that preferably go out；For
Eliminate influence of the feature difference to output result of indivedual blower fans, with Wind turbines power output, the mean square deviation of wind speed and
After the standardization of root difference algorithm flow is brought into as characteristic value.
The wind storage generating black starting-up system of the present invention, is stored up due to being connected in the Wind turbines house transformator high-pressure side of setting
Energy cabinet, during black starting-up, is powered from electricity system for the Wind turbines of setting by energy storage cabinet and aids in its startup, hereafter, then make setting
The energy storage of Wind turbines joint as original power start other Wind turbines, final realize completes whole by the energy storage of low capacity
Individual wind power plant black starting-up, can provide power supply selection, with knot for the startup strategy of many power initiation parallel recoveries of local power net
Structure is simple, high reliability.The energy storage configuration method of the wind storage generating black starting-up system provided is scientific and reasonable, applicability
By force, effect is good.
Brief description of the drawings
Fig. 1 is the Wind turbines quantity and its starting efficiency figure initially set；
Fig. 2 is monthly wind speed spatial distribution figure；
Fig. 3 is monthly power space distribution map；
Fig. 4 is self-organizing map neural network algorithm flow chart；
Fig. 5 is energy storage layout；
Embodiment
Below with drawings and examples, the invention will be further described.
A kind of wind storage electricity generation system of the present invention, energy storage cabinet is connected in the Wind turbines house transformator high-pressure side of setting,
During black starting-up, the Wind turbines by energy storage cabinet for setting are powered from electricity system, are aided in it to start, hereafter, then are made the wind of setting
The energy storage of group of motors joint starts other Wind turbines as original power, and final realize completes whole wind by the energy storage of low capacity
Electric field black starting-up.Described Wind turbines type is double-fed wind power generator group DFIG.
A kind of wind of the present invention stores up the energy storage configuration method of generating black starting-up system, including herein below：
1) Wind turbines boot sequence plan model is set up
Change that Wind turbines are idle influences the relation with wind power plant collector system topology on other Wind turbines set end voltages
Represented by formula (1)：
In formula,Respectively induction reactance and impedance of the j-th strip collection electric line First Wind turbines to collection bus；X
For the induction reactance between the adjacent unit of same collection electric line；ULowFor collection bus voltage.For kth typhoon in j-th strip collection electric line
The set end voltage variable quantity of group of motors；For the idle work variable quantity of the i-th typhoon group of motors in j-th strip collection electric line；For
The set end voltage variable quantity of kth typhoon group of motors in the s articles collection electric line；N-th typhoon group of motors in j-th strip collection electric line
Idle work variable quantity,
Then in double-fed fan motor unit Reactive-power control limit of power, the set end voltage of Wind turbines, which falls Filters with Magnitude Constraints, to expire
Foot formula (2)
In formula,Under idle work variable quantity when starting for Wind turbines to be launched, case of heavy load, 0.1pu generator terminal electricity
Pressure fluctuation can cause Wind turbines to shut down off-grid, therefore reliable to ensure to start in the particular time of the black starting-up supported without power network
Property, retain certain allowance, set end voltage, which falls, takes 0.06pu；
2) unit starting order
Wind turbines on same current collection/generating circuit:After the Wind turbines for configuring energy storage preferentially start, other wind-powered electricity generations
Unit is by it apart from bus rod nX<(n+1) X sequentially starts from the near to the remote；
Different collection electric lines:Do not configure energy storage other collection electric lines, by apart from bus rod, that is, collect station by closely to
Far Each generating circuit of smoothly startup；
3) energy storage configuration capacity model is set up
Assuming that minute level wind speed it is unchanged, Wind turbines can continuously start and each typhoon group of motors startup time and startup
Ability is identical, then starts Wind turbines power output PwRepresented by following formula (3)：
Wherein, R is wind mill wind wheel radius, m；ρ is atmospheric density, takes normal atmosphere to depress atmospheric density ρ=1.225；
VmFor mean wind speed, m/s in the initial Wind turbines rack load pressure maximum period；CpFor power coefficient, it is considered to which wake flow is imitated
Should, take the average wind energy utilization efficiency C of wind power plantp=0.48；
Blower fan power output PwWith Wind turbines quantity n relation can be started simultaneously by following formula (4) expression：
Wherein, PZTo start Wind turbines from electricity system power, PZ-ImAnd PZ-RWind turbines respectively to be launched are used by oneself
Electric system asynchronous electric acc power and other equipment power, for same model Wind turbines PZ=PZ-Im+PZ-R；α is small-sized hair
Group of motors directly initiates Capacity Margin during small-power asynchronous motor, is taken by GB50052-2009 Code for design of electric power supply systems
α=6.5；
Incremental relations and wind-powered electricity generation of the Wind turbines quantity x of energy storage with starting Wind turbines quantity n simultaneously need to initially be configured
Field starts time efficiency constraint such as following formula (5)：
Wherein, k is starts batch, and N is wind power plant unit quantity, tfIt is Wind turbines from state to be launched to start completion
The total duration of stable output, t is typically taken according to actual wind power plant operational monitoring dataf=80s.TallFor wind power plant starting efficiency
Time-constrain, water intaking group of motors starts to the duration black startup test data T of stable outputall=4min；
The Wind turbines number of units x of required initial configuration energy storage is calculated by formula (1)~formula (3), then energy storage configuration capacity
CSSuch as following formula (6)：
CS=xgPCS-N (12)
Wherein PCS-NFor energy storage rated power PCS-N=α PZ-Im+PZ-R；
4) energy storage configuration placement model is set up
Using to parameter attribute substantially and the self-organizing feature of nonlinear Distribution information Effective selection that mixes of interaction reflects
Neutral net (Self-organizing feature Map, SOFM) algorithm is penetrated, with wind turbine wind speed, power output, wind speed
It is that boundary condition is classified to the blower fan of wind power plant with the matching degree of power output, i.e. wind energy utilization efficiency, then to having divided
The Wind turbines of class do correlation calculations, and energy storage configuration is carried out from big to small by correlation factor to the Wind turbines that preferably go out；For
Eliminate influence of the feature difference to output result of indivedual blower fans, with Wind turbines power output, the mean square deviation of wind speed and
After the standardization of root difference algorithm flow is brought into as characteristic value.
The design conditions of specific embodiment are described as follows：
(1) wind-powered electricity generation field parameters such as subordinate list 1；
(2) wind-powered electricity generation place fills Gamesa Wind G58-850 double-fed induction wind driven generators group from electricity system parameter such as subordinate list 2；
(3) wind speed and power output that the wind power plant each typhoon group of motors sampling interval of 7~September in 2016 is 1min are selected
Data as Wind turbines classify optimizing sample data.
Table 1：Wind-powered electricity generation field parameters
According to embodiment design conditions (1)-(3), using the present invention to energy storage configuration capacity, energy storage configuration layout, wind-powered electricity generation
Field unit starting order result is as follows：
1. energy storage configuration capacity
Under given design conditions, wind-powered electricity generation place dress Wind turbines asynchronous electric from electricity system is calculated by table 2
Acc power PZ-Im=15.2kW, other equipment power PZ-R=3.8kW, general power is PZ=19.0kW.And according to field measurement, wind-powered electricity generation
Unit is 80s from receiving startup and ordering into preparatory stage to the start completion stable total boot time exported.In the wind-powered electricity generation
Field 7~September mean wind speed is under conditions of 6.6m/s：
By formula (3), the active-power P that Wind turbines can be exported under above-mentioned wind friction velocityw=300kW, is operated in
Apparent energy under 0.95 power factor is S=315kVA, the unit quantity n=2 that can be started simultaneously according to formula (4).
Table 2：Wind-powered electricity generation place fills Gamesa Wind G58-850 double-fed induction wind driven generators group from electricity system parameter
For a wind power plant containing 58 typhoon group of motors, the conditional (5) of startup time efficiency is being met, to initial
The unit quantity of energy storage and the relation such as accompanying drawing 1 of wind power plant starting efficiency time-constrain are configured, analysis is understood, to 240s's
The black starting-up to the whole Wind turbines of the wind power plant is realized in confinement time, at least needs to configure 7 energy storage cabinets.Matched somebody with somebody according to formula (6)
The startup of separate unit Wind turbines can be realized by putting the energy-storage system that power is 320kW/240kWh.Then black open is realized for the wind power plant
Dynamic energy storage demand is 2.24MW/1.68MWh.
2. energy storage configuration layout
To such as accompanying drawing 2 and accompanying drawing 3, the wind speed of Wind turbines and the space of power output be not into corresponding relation, i.e. wind
Higher its generated output of Wind turbines of speed might not be high, and wind energy utilization efficiency has differences.Calculated using SOFM neutral nets
Method, is inputted as characteristic value and is calculated using the mean square deviation and root mean square difference after each typhoon group of motors power output, wind speed standardization
Method model, input layer is 4, and nervous layer presses Wind turbines wind-engaging situation (Vm-i), power output (Pw-i), wind speed and power output
Matching degree (η) is set to 3 layers, and output layer category is set to 3, and carries out 1000 iterative calculation.Algorithm flow chart such as accompanying drawing
4。
Wind turbines are divided into 3 classes such as subordinate list 3：19 first kind Wind turbines preferably come out are entered according to characteristic value
Row correlation analysis.
Table 3：Wind turbines are classified
Wherein No. 4 blower fans except with the coefficient correlation of No. 3 blower fans and No. 35 blower fans it is lower slightly in addition to, the coefficient correlation with other blower fans
More than 0.9, its strong influence on other blower fans is presented, the average correlation coefficient of No. 28 blower fans and other blower fans is 0.87, with
This analogizes, prioritizing selection coefficient correlation be more than 0.7 3,4,25,26,28,46, No. 55 units as configuration energy storage blower fan, its
Particular location such as accompanying drawing 5：
3. Wind turbines boot sequence is planned
Maximum is idle during the data G58-850 type double-fed unit startings provided according to field experiment and Wind turbines manufacturer becomes
Turn to Δ Q=0.22MW.
Require that i is less than 3 according to formula (1) and formula (2), sequential program(me) when Wind turbines start is as follows：
Unit on same current collection/generating circuit:After the unit for configuring energy storage preferentially starts, other units press its distance
Bus rod (nX<(n+1) X) sequentially start from the near to the remote；
Different collection electric lines:Do not configure energy storage other collection electric lines, by apart from bus rod (collecting station) by closely to
Far (XLi<XLj) each generating circuit of smoothly startup.
According to above-mentioned unit starting sequential program(me) principle, for the same collection electric wire of the wind power plant, such as generate electricity five lines, by G25
→ G24 → G23 → G22 → G21 sequentially starts unit；It is other when all unit startings of the collection electric line for configuring energy storage are completed
Collection electric line is sequentially started by nine lines → eight lines of the generating → line of six lines of generating → generating three that generates electricity.
Design conditions, legend, table in the embodiment of the present invention etc. are only used for that the present invention is further illustrated, not thoroughly
Lift, do not constitute the restriction to claims, the enlightenment that those skilled in the art obtain according to embodiments of the present invention,
Other substantially equivalent replacements are would occur to without creative work, are all fallen in the scope of protection of the present invention.
Claims (3)
1. a kind of wind stores up electricity generation system, it is characterized in that, energy storage cabinet is connected in the Wind turbines house transformator high-pressure side of setting, it is black
During startup, the Wind turbines by energy storage cabinet for setting are powered from electricity system, are aided in it to start, hereafter, then are made the wind-powered electricity generation of setting
The energy storage of unit joint starts other Wind turbines as original power, and final realize completes whole wind-powered electricity generation by the energy storage of low capacity
Field black starting-up.
2. a kind of wind storage electricity generation system according to claim 1, it is characterized in that, described Wind turbines type is double-fed wind
Power generator group DFIG.
3. a kind of wind storage electricity generation system according to claim 1, it is characterized in that, its energy storage configuration method is included in following
Hold：
1) Wind turbines boot sequence plan model is set up
Change that Wind turbines are idle influences the relation with wind power plant collector system topology on other Wind turbines set end voltages by formula
(1) represent：
<mrow>
<mfenced open = "{" close = "">
<mtable>
<mtr>
<mtd>
<mrow>
<mfrac>
<mrow>
<mo>&part;</mo>
<msubsup>
<mi>U</mi>
<mrow>
<mi>G</mi>
<mo>-</mo>
<mi>k</mi>
</mrow>
<mi>j</mi>
</msubsup>
</mrow>
<mrow>
<mo>&part;</mo>
<msubsup>
<mi>Q</mi>
<mrow>
<mi>G</mi>
<mo>-</mo>
<mi>i</mi>
</mrow>
<mi>j</mi>
</msubsup>
</mrow>
</mfrac>
<mo>=</mo>
<mfrac>
<mrow>
<msubsup>
<mi>X</mi>
<mi>L</mi>
<mi>j</mi>
</msubsup>
<mo>+</mo>
<mrow>
<mo>(</mo>
<mi>k</mi>
<mo>-</mo>
<mn>1</mn>
<mo>)</mo>
</mrow>
<mi>X</mi>
</mrow>
<msub>
<mi>U</mi>
<mrow>
<mi>L</mi>
<mi>o</mi>
<mi>w</mi>
</mrow>
</msub>
</mfrac>
<mo>-</mo>
<mi>j</mi>
<mfrac>
<msubsup>
<mi>R</mi>
<mi>L</mi>
<mi>j</mi>
</msubsup>
<msub>
<mi>U</mi>
<mrow>
<mi>L</mi>
<mi>o</mi>
<mi>w</mi>
</mrow>
</msub>
</mfrac>
</mrow>
</mtd>
<mtd>
<mrow>
<mo>(</mo>
<mi>i</mi>
<mo>></mo>
<mi>k</mi>
<mo>)</mo>
</mrow>
</mtd>
</mtr>
<mtr>
<mtd>
<mrow>
<mfrac>
<mrow>
<mo>&part;</mo>
<msubsup>
<mi>U</mi>
<mrow>
<mi>G</mi>
<mo>-</mo>
<mi>k</mi>
</mrow>
<mi>j</mi>
</msubsup>
</mrow>
<mrow>
<mo>&part;</mo>
<msubsup>
<mi>Q</mi>
<mrow>
<mi>G</mi>
<mo>-</mo>
<mi>i</mi>
</mrow>
<mi>j</mi>
</msubsup>
</mrow>
</mfrac>
<mo>=</mo>
<mfrac>
<mrow>
<msubsup>
<mi>X</mi>
<mi>L</mi>
<mi>j</mi>
</msubsup>
<mo>+</mo>
<mrow>
<mo>(</mo>
<mi>i</mi>
<mo>-</mo>
<mn>1</mn>
<mo>)</mo>
</mrow>
<mi>X</mi>
</mrow>
<msub>
<mi>U</mi>
<mrow>
<mi>L</mi>
<mi>o</mi>
<mi>w</mi>
</mrow>
</msub>
</mfrac>
<mo>-</mo>
<mi>j</mi>
<mfrac>
<msubsup>
<mi>R</mi>
<mi>L</mi>
<mi>j</mi>
</msubsup>
<msub>
<mi>U</mi>
<mrow>
<mi>L</mi>
<mi>o</mi>
<mi>w</mi>
</mrow>
</msub>
</mfrac>
</mrow>
</mtd>
<mtd>
<mrow>
<mo>(</mo>
<mi>i</mi>
<mo><</mo>
<mi>k</mi>
<mo>)</mo>
</mrow>
</mtd>
</mtr>
<mtr>
<mtd>
<mrow>
<mfrac>
<mrow>
<mo>&part;</mo>
<msubsup>
<mi>U</mi>
<mrow>
<mi>G</mi>
<mo>-</mo>
<mi>k</mi>
</mrow>
<mi>s</mi>
</msubsup>
</mrow>
<mrow>
<mo>&part;</mo>
<msubsup>
<mi>Q</mi>
<mrow>
<mi>G</mi>
<mo>-</mo>
<mi>n</mi>
</mrow>
<mi>j</mi>
</msubsup>
</mrow>
</mfrac>
<mo>=</mo>
<mfrac>
<mrow>
<msubsup>
<mi>X</mi>
<mi>L</mi>
<mi>j</mi>
</msubsup>
<mo>+</mo>
<mrow>
<mo>(</mo>
<mi>n</mi>
<mo>-</mo>
<mn>1</mn>
<mo>)</mo>
</mrow>
<mi>X</mi>
</mrow>
<msub>
<mi>U</mi>
<mrow>
<mi>L</mi>
<mi>o</mi>
<mi>w</mi>
</mrow>
</msub>
</mfrac>
<mo>-</mo>
<mi>j</mi>
<mfrac>
<msubsup>
<mi>R</mi>
<mi>L</mi>
<mi>j</mi>
</msubsup>
<msub>
<mi>U</mi>
<mrow>
<mi>L</mi>
<mi>o</mi>
<mi>w</mi>
</mrow>
</msub>
</mfrac>
</mrow>
</mtd>
<mtd>
<mrow></mrow>
</mtd>
</mtr>
</mtable>
</mfenced>
<mo>-</mo>
<mo>-</mo>
<mo>-</mo>
<mrow>
<mo>(</mo>
<mn>1</mn>
<mo>)</mo>
</mrow>
</mrow>
In formula,Respectively induction reactance and impedance of the j-th strip collection electric line First Wind turbines to collection bus；X is same
Induction reactance between the adjacent unit of one collection electric line；ULowFor collection bus voltage.For kth typhoon motor in j-th strip collection electric line
The set end voltage variable quantity of group；For the idle work variable quantity of the i-th typhoon group of motors in j-th strip collection electric line；For the s articles
Collect the set end voltage variable quantity of kth typhoon group of motors in electric line；The nothing of n-th typhoon group of motors in j-th strip collection electric line
Work(variable quantity,
Then in double-fed fan motor unit Reactive-power control limit of power, the set end voltage of Wind turbines, which falls Filters with Magnitude Constraints, to be met down
Formula (2)：
<mrow>
<mi>max</mi>
<mrow>
<mo>{</mo>
<mrow>
<mover>
<mfrac>
<mrow>
<mo>&part;</mo>
<msubsup>
<mi>U</mi>
<mrow>
<mi>G</mi>
<mo>-</mo>
<mi>k</mi>
</mrow>
<mi>j</mi>
</msubsup>
</mrow>
<mrow>
<mo>&part;</mo>
<msubsup>
<mi>Q</mi>
<mrow>
<mi>G</mi>
<mo>-</mo>
<mi>i</mi>
</mrow>
<mi>j</mi>
</msubsup>
</mrow>
</mfrac>
<mo>&OverBar;</mo>
</mover>
<mo>&CenterDot;</mo>
<msubsup>
<mi>&Delta;Q</mi>
<mrow>
<mi>G</mi>
<mo>-</mo>
<mi>i</mi>
</mrow>
<mi>j</mi>
</msubsup>
<mo>,</mo>
<mover>
<mfrac>
<mrow>
<mo>&part;</mo>
<msubsup>
<mi>U</mi>
<mrow>
<mi>G</mi>
<mo>-</mo>
<mi>k</mi>
</mrow>
<mi>s</mi>
</msubsup>
</mrow>
<mrow>
<mo>&part;</mo>
<msubsup>
<mi>Q</mi>
<mrow>
<mi>G</mi>
<mo>-</mo>
<mi>i</mi>
</mrow>
<mi>j</mi>
</msubsup>
</mrow>
</mfrac>
<mo>&OverBar;</mo>
</mover>
<mo>&CenterDot;</mo>
<msubsup>
<mi>&Delta;Q</mi>
<mrow>
<mi>G</mi>
<mo>-</mo>
<mi>i</mi>
</mrow>
<mi>j</mi>
</msubsup>
</mrow>
<mo>}</mo>
</mrow>
<mo>&le;</mo>
<mn>0.06</mn>
<mo>-</mo>
<mo>-</mo>
<mo>-</mo>
<mrow>
<mo>(</mo>
<mn>2</mn>
<mo>)</mo>
</mrow>
</mrow>
In formula,Under idle work variable quantity when starting for Wind turbines to be launched, case of heavy load, 0.1pu set end voltage ripple
It is dynamic that Wind turbines can be caused to shut down off-grid, therefore be guarantee startup reliability in the particular time of the black starting-up supported without power network, protect
Certain allowance is stayed, set end voltage, which falls, takes 0.06pu；
2) unit starting order
Wind turbines on same current collection/generating circuit:After the Wind turbines for configuring energy storage preferentially start, other Wind turbines
By it apart from bus rod nX<(n+1) X sequentially starts from the near to the remote；
Different collection electric lines:Other collection electric lines of energy storage are not configured, are stood from the near to the remote by apart from bus rod, that is, collecting Each generating circuit of smoothly startup；
3) energy storage configuration capacity model is set up
Assuming that minute level wind speed it is unchanged, Wind turbines can continuously start and each typhoon group of motors startup time and startup ability
It is identical, then start Wind turbines power output PwRepresented by following formula (3)：
<mrow>
<msub>
<mi>P</mi>
<mi>w</mi>
</msub>
<mo>=</mo>
<mfrac>
<mn>1</mn>
<mn>2</mn>
</mfrac>
<msup>
<mi>&pi;R</mi>
<mn>2</mn>
</msup>
<msubsup>
<mi>&rho;V</mi>
<mi>m</mi>
<mn>3</mn>
</msubsup>
<msub>
<mi>C</mi>
<mi>p</mi>
</msub>
<mo>-</mo>
<mo>-</mo>
<mo>-</mo>
<mrow>
<mo>(</mo>
<mn>3</mn>
<mo>)</mo>
</mrow>
</mrow>
Wherein, R is wind mill wind wheel radius, m；ρ is atmospheric density, takes normal atmosphere to depress atmospheric density ρ=1.225；VmTo be first
Mean wind speed, m/s in the beginning Wind turbines rack load pressure maximum period；CpFor power coefficient, it is considered to wake effect, take
The average wind energy utilization efficiency C of wind power plantp=0.48；
Blower fan power output PwWith Wind turbines quantity n relation can be started simultaneously by following formula (4) expression：
<mrow>
<mfrac>
<mrow>
<msub>
<mi>P</mi>
<mi>w</mi>
</msub>
<mo>-</mo>
<msub>
<mi>P</mi>
<mi>Z</mi>
</msub>
</mrow>
<mrow>
<mi>&alpha;</mi>
<munderover>
<mi>&Sigma;</mi>
<mn>1</mn>
<mi>n</mi>
</munderover>
<msub>
<mi>P</mi>
<mrow>
<mi>Z</mi>
<mo>-</mo>
<mi>I</mi>
<mi>m</mi>
</mrow>
</msub>
<mo>+</mo>
<munderover>
<mi>&Sigma;</mi>
<mn>1</mn>
<mi>n</mi>
</munderover>
<msub>
<mi>P</mi>
<mrow>
<mi>Z</mi>
<mo>-</mo>
<mi>R</mi>
</mrow>
</msub>
</mrow>
</mfrac>
<mo>></mo>
<mi>n</mi>
<mo>,</mo>
<mrow>
<mo>(</mo>
<mi>n</mi>
<mo>&Element;</mo>
<msup>
<mi>N</mi>
<mo>*</mo>
</msup>
<mo>)</mo>
</mrow>
<mo>-</mo>
<mo>-</mo>
<mo>-</mo>
<mrow>
<mo>(</mo>
<mn>4</mn>
<mo>)</mo>
</mrow>
</mrow>
Wherein, PZTo start Wind turbines from electricity system power, PZ-ImAnd PZ-RWind turbines respectively to be launched are from electricity consumption system
System asynchronous electric acc power and other equipment power, for same model Wind turbines PZ=PZ-Im+PZ-R；α is small generator
Group directly initiates Capacity Margin during small-power asynchronous motor, by GB50052-2009 Code for design of electric power supply systems take α=
6.5；
The Wind turbines quantity x that energy storage need to initially be configured is opened with starting Wind turbines quantity n incremental relation and wind power plant simultaneously
Dynamic time efficiency constraint such as following formula (5)：
<mrow>
<mfenced open = "{" close = "">
<mtable>
<mtr>
<mtd>
<mrow>
<mi>x</mi>
<msup>
<mrow>
<mo>(</mo>
<mi>n</mi>
<mo>+</mo>
<mn>1</mn>
<mo>)</mo>
</mrow>
<mi>k</mi>
</msup>
<mo>></mo>
<mi>N</mi>
</mrow>
</mtd>
</mtr>
<mtr>
<mtd>
<mrow>
<mo>(</mo>
<mi>k</mi>
<mo>+</mo>
<mn>1</mn>
<mo>)</mo>
<msub>
<mi>t</mi>
<mi>f</mi>
</msub>
<mo>&le;</mo>
<msub>
<mi>T</mi>
<mrow>
<mi>a</mi>
<mi>l</mi>
<mi>l</mi>
</mrow>
</msub>
</mrow>
</mtd>
</mtr>
</mtable>
</mfenced>
<mo>-</mo>
<mo>-</mo>
<mo>-</mo>
<mrow>
<mo>(</mo>
<mn>5</mn>
<mo>)</mo>
</mrow>
</mrow>
Wherein, k is starts batch, and N is wind power plant unit quantity, tfIt is stable from state to be launched to start completion for Wind turbines
The total duration of output, t is typically taken according to actual wind power plant operational monitoring dataf=80s.TallFor the wind power plant starting efficiency time
Constraint, water intaking group of motors starts to the duration black startup test data T of stable outputall=4min；
The Wind turbines number of units x of required initial configuration energy storage is calculated by formula (1)~formula (3), then energy storage configuration capacity CSIt is as follows
Formula (6)：
CS=xgPCS-N (6)
Wherein PCS-NFor energy storage rated power PCS-N=α PZ-Im+PZ-R；
4) energy storage configuration placement model is set up
Using to parameter attribute substantially and interaction mix nonlinear Distribution information Effective selection self-organizing feature map god
Through network (Self-organizing feature Map, SOFM) algorithm, with wind turbine wind speed, power output, wind speed with it is defeated
Go out the matching degree of power, i.e. wind energy utilization efficiency to classify to the blower fan of wind power plant for boundary condition, then to classified
Wind turbines do correlation calculations, and energy storage configuration is carried out from big to small by correlation factor to the Wind turbines that preferably go out；To eliminate
Influence of the feature difference of indivedual blower fans to output result, with Wind turbines power output, the mean square deviation and root mean square of wind speed
After difference standardization algorithm flow is brought into as characteristic value.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710504995.9A CN107294130B (en) | 2017-06-28 | 2017-06-28 | Wind storage power generation black start system and energy storage configuration method thereof |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710504995.9A CN107294130B (en) | 2017-06-28 | 2017-06-28 | Wind storage power generation black start system and energy storage configuration method thereof |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN107294130A true CN107294130A (en) | 2017-10-24 |
| CN107294130B CN107294130B (en) | 2020-01-17 |
Family
ID=60099035
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201710504995.9A Active CN107294130B (en) | 2017-06-28 | 2017-06-28 | Wind storage power generation black start system and energy storage configuration method thereof |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN107294130B (en) |
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109390977A (en) * | 2018-10-08 | 2019-02-26 | 内蒙古电力(集团)有限责任公司 | A kind of wind speed characteristic analysis method supporting wind power plant black starting-up |
| CN111355256A (en) * | 2020-03-09 | 2020-06-30 | 台达电子企业管理（上海）有限公司 | High-voltage direct-current power transformation device, power system and control method of power system |
| CN111614124A (en) * | 2020-06-16 | 2020-09-01 | 上海电气风电集团股份有限公司 | Novel power supply method for large island operation mode of offshore wind farm |
| CN112260317A (en) * | 2020-10-26 | 2021-01-22 | 西安工程大学 | Matching system and matching method for power of wind power plant participating in black start of power grid |
| CN112865200A (en) * | 2021-04-12 | 2021-05-28 | 国网黑龙江省电力有限公司电力科学研究院 | Wind power stability limit analysis method |
| CN112968441A (en) * | 2021-03-12 | 2021-06-15 | 内蒙古科技大学 | Power grid planning method applied to large-scale wind power base |
| US11239663B2 (en) | 2020-03-09 | 2022-02-01 | Delta Electronics (Shanghai) Co., Ltd. | Energy storage device and power system and control method thereof |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP2236821A1 (en) * | 2009-04-03 | 2010-10-06 | XEMC Darwind B.V. | Wind farm island operation |
| CN102541621A (en) * | 2011-11-30 | 2012-07-04 | 中国电力科学研究院 | Simulation equivalent method of wind-photovoltaics-energy storage joint power generation system |
| CN104953616A (en) * | 2015-06-15 | 2015-09-30 | 江苏省电力公司 | Black start system for wind power plant and power supply method for black start system |
| CN106471695A (en) * | 2014-11-24 | 2017-03-01 | Abb瑞士股份有限公司 | The method of black starting-up blower fan, wind energy turbine set and recovery wind energy turbine set and blower fan, and the blower fan using the method, wind energy turbine set |
-
2017
- 2017-06-28 CN CN201710504995.9A patent/CN107294130B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP2236821A1 (en) * | 2009-04-03 | 2010-10-06 | XEMC Darwind B.V. | Wind farm island operation |
| CN102541621A (en) * | 2011-11-30 | 2012-07-04 | 中国电力科学研究院 | Simulation equivalent method of wind-photovoltaics-energy storage joint power generation system |
| CN106471695A (en) * | 2014-11-24 | 2017-03-01 | Abb瑞士股份有限公司 | The method of black starting-up blower fan, wind energy turbine set and recovery wind energy turbine set and blower fan, and the blower fan using the method, wind energy turbine set |
| CN104953616A (en) * | 2015-06-15 | 2015-09-30 | 江苏省电力公司 | Black start system for wind power plant and power supply method for black start system |
Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109390977A (en) * | 2018-10-08 | 2019-02-26 | 内蒙古电力(集团)有限责任公司 | A kind of wind speed characteristic analysis method supporting wind power plant black starting-up |
| CN109390977B (en) * | 2018-10-08 | 2021-10-08 | 内蒙古电力(集团)有限责任公司 | Wind speed characteristic analysis method for supporting black start of wind power plant |
| CN111355256A (en) * | 2020-03-09 | 2020-06-30 | 台达电子企业管理（上海）有限公司 | High-voltage direct-current power transformation device, power system and control method of power system |
| US11239663B2 (en) | 2020-03-09 | 2022-02-01 | Delta Electronics (Shanghai) Co., Ltd. | Energy storage device and power system and control method thereof |
| US11799293B2 (en) | 2020-03-09 | 2023-10-24 | Delta Electronics (Shanghai) Co., Ltd. | High-voltage DC transformation apparatus and power system and control method thereof |
| CN111614124A (en) * | 2020-06-16 | 2020-09-01 | 上海电气风电集团股份有限公司 | Novel power supply method for large island operation mode of offshore wind farm |
| CN112260317A (en) * | 2020-10-26 | 2021-01-22 | 西安工程大学 | Matching system and matching method for power of wind power plant participating in black start of power grid |
| CN112968441A (en) * | 2021-03-12 | 2021-06-15 | 内蒙古科技大学 | Power grid planning method applied to large-scale wind power base |
| CN112865200A (en) * | 2021-04-12 | 2021-05-28 | 国网黑龙江省电力有限公司电力科学研究院 | Wind power stability limit analysis method |
Also Published As
| Publication number | Publication date |
|---|---|
| CN107294130B (en) | 2020-01-17 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN107294130A (en) | A kind of wind storage generating black starting-up system and its energy storage configuration method | |
| Wang et al. | Probabilistic approach for power capacity specification of wind energy storage systems | |
| CN103718414B (en) | Photovoltaic voltage regulates | |
| CN105846463B (en) | A kind of black-start method and system of multi-source coordination | |
| CN103109085A (en) | Control of a wind power plant | |
| CN103606913B (en) | Distributed hybrid power system power source planning method | |
| CN106059448A (en) | Power coordination control method for wind and photovoltaic complementary power generation system based on supervision prediction control | |
| CN106936160A (en) | A kind of smart micro-grid system power coordination control method based on distributed power generation | |
| CN107666155A (en) | System Stochastic Stability Analysis method of providing multiple forms of energy to complement each other based on Markov model | |
| CN107134789A (en) | Optimal load flow control method is stored up based on the light for expanding QV nodes | |
| Eldahab et al. | Enhancing the energy utilization of hybrid renewable energy systems | |
| Bialasiewicz et al. | Analysis of renewable-energy systems using RPM-SIM simulator | |
| Chaitanya et al. | Development of hybrid smart grid system using MATLAB/SIMULINK | |
| Nguyen et al. | Microgrid application with computer models and power management integrated using PSCAD/EMTDC | |
| Gianto et al. | Modeling of SCIG-Based Variable Speed Wind Turbine in Power Factor Control Mode for Load Flow Analysis | |
| Shinde et al. | The role of power electronics in renewable energy systems research and development | |
| Altimania | Modeling of doubly-fed induction generators connected to distribution system based on eMEGASim® real-time digital simulator | |
| CN105913193B (en) | A kind of distributed energy planning system and method | |
| Nfaoui et al. | Modelling of a wind/diesel system with battery storage for Tangiers, Morocco | |
| CN111817359B (en) | Micro-grid solvable boundary analysis method based on equivalent circuit | |
| Anusha et al. | Energy Management of an Off-Grid and Grid Connected Hybrid Renewable Energy Source Micro-Grid System for Commercial Load | |
| Krishnamurthy et al. | Microgrid system design, modeling, and simulation | |
| Jiang et al. | Analysis of the combined impact of small-scale wind generators and electric vehicles on future power networks | |
| CN111668882A (en) | Method and device for optimizing output of micro power supply in intelligent energy ring network | |
| CN109617050A (en) | A kind of Service Power in Thermal Power Plant micro-grid system simulation model |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant | ||
| TR01 | Transfer of patent right |
Effective date of registration: 20201104 Address after: Jilin City, Jilin province Changchun ship 132012 Camp Road No. 169 Patentee after: NORTHEAST DIANLI University Patentee after: JILIN POWER SUPPLY COMPANY OF STATE GRID JILINSHENG ELECTRIC POWER SUPPLY Co. Address before: Jilin City, Jilin province Changchun ship 132012 Camp Road No. 169 Patentee before: NORTHEAST DIANLI University |
|
| TR01 | Transfer of patent right |