CN107886227A - Method for assessing power distribution network anti-disaster capability improving degree - Google Patents
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Abstract
This application provides a kind of method for assessing power distribution network anti-disaster capability improving degree, the described method comprises the following steps：The wind load for influenceing to be calculated power distribution network by disaster caused by a windstorm counts power distribution network Disaster degree；The characteristic of " anti-part throttle characteristics " terminal is counted, the output of described " anti-part throttle characteristics " terminal during calculating disaster；The output of " anti-part throttle characteristics " terminal with reference to described in during power distribution network Disaster degree and disaster, determines the supply load of power distribution network during disaster, and statistics obtains the load curve of power distribution network under disaster scenarios it；According to the load curve of power distribution network under disaster scenarios it, power distribution network anti-disaster capacity index before and after access " anti-part throttle characteristics " terminal is calculated；Power distribution network anti-disaster capability improving degree after calculating access " anti-part throttle characteristics " terminal.The method for assessing power distribution network anti-disaster capability improving degree that the application provides, for assessing the access of " anti-part throttle characteristics " terminal to power distribution network anti-disaster capability improving degree.
Description
Technical field
The application is related to power distribution network anti-disaster assessment technology field, more particularly to a kind of for assessing power distribution network anti-disaster energy
The method that power lifts degree.
Background technology
Taken place frequently for some topography and geomorphologies complexity or the extreme natural calamity such as coastal area, typhoon, heavy rain and mud-rock flow, with
It is increasingly huge power distribution network scale, extreme natural calamity influences extremely to protrude to caused by distribution network operation, often results in distribution
Extensive failure occurs for net.In this way, improving power distribution network anti-disaster ability, reduce power off time, to social development and economic prosperity
It is significant.
At present, clean energy technology is all being studied in countries in the world energetically, to alleviate the energy environment crisis of getting worse.Wind
The regenerative resources such as energy, solar energy turn into the important alternative energy source of conventional fossil fuel with its low-carbon environment-friendly characteristic, due to distribution
, can be from power network end after " anti-part throttle characteristics " terminals such as formula power supply (Distributed Generation, DG) access power network
Power is provided for important load to support, therefore, after extensive failure occurs, the distribution of " anti-part throttle characteristics " characteristic terminal access
The power failure range and power off time of net are smaller, and anti-disaster ability is stronger.
But the influence of the natural causes such as the more climates of distributed power generation, its power to generate electricity, generated energy, the quality of power supply etc. is no
It is stable, thus the anti-disaster ability of the access power distribution network containing " anti-part throttle characteristics " terminals such as DG is assessed, and more various " anti-load spies
Property " terminal access scheme is practical problem urgently to be resolved hurrily to power distribution network anti-disaster capability improving degree, has good theory
Value and application value.
The content of the invention
It is " anti-negative for assessing this application provides a kind of method for assessing power distribution network anti-disaster capability improving degree
Lotus characteristic " terminal is accessed to power distribution network anti-disaster capability improving degree.
This application provides a kind of method for assessing power distribution network anti-disaster capability improving degree, methods described include with
Lower step：
The wind load for influenceing to be calculated power distribution network by disaster caused by a windstorm counts power distribution network Disaster degree；
The characteristic of " anti-part throttle characteristics " terminal is counted, the output of described " anti-part throttle characteristics " terminal during calculating disaster；
The output of " anti-part throttle characteristics " terminal, determines to match somebody with somebody during disaster with reference to described in during power distribution network Disaster degree and disaster
The supply load of power network, statistics obtain the load curve of power distribution network under disaster scenarios it；
According to the load curve of power distribution network under disaster scenarios it, power distribution network resists before and after calculating access " anti-part throttle characteristics " terminal
Disaster capacity index；
Power distribution network anti-disaster capability improving degree after calculating access " anti-part throttle characteristics " terminal.
Optionally, in the above method, the output of described " anti-part throttle characteristics " terminal, specific bag during the calculating disaster
Include：
Simulation calculates the real-time wind speed in blower fan present position, obtains blower fan output formula
Wherein, PwAnd PrRespectively blower fan is contributed in real time and rated power, parameter A, B, C are that blower fan power curve is non-linear
Partial coefficient of polynomial fitting, VciTo cut wind speed, VwFor the real-time wind speed of blower fan present position, VrFor the specified wind of blower fan
Speed, VcoFor blower fan wind speed.
Optionally, in the above method, the simulation calculates the real-time wind speed in blower fan present position, is specially：
VRmaxFor the maximum wind velocity of cyclone center, RmaxFor maximum wind speed radius, r is blower fan to wind field centre distance.
Optionally, in the above method, the output of described " anti-part throttle characteristics " terminal during the calculating disaster, in addition to：
Photovoltaic array is calculated to contribute in real time,
PbAnd PsnThe respectively real-time output of photovoltaic and rated power；GbtAnd GstdRespectively real-time light intensity and normal light are according to strong
Degree；RcFor the light intensity of certain strength.
Optionally, in the above method, according to the load curve of power distribution network under disaster scenarios it, access " anti-part throttle characteristics " is calculated
Power distribution network anti-disaster capacity index before and after terminal, it is specially：
Power network anti-disaster capacity formula is obtained according to the load curve of power distribution network under disaster scenarios it
Wherein, wherein,Degree is lacked for scene n delivery,For the negative of the realized load curve under hazard weather
Lotus average,The load average of target load curve during not influenceed by disaster system operation such as, RESnLacked for disaster
Area.
Optionally, in the above method, the power distribution network anti-disaster capability improving after calculating access " anti-part throttle characteristics " terminal
Degree, it is specially：
TAF=AFDG1-AF0,
Wherein, AFDG1For the power distribution network anti-disaster capacity index after access " anti-part throttle characteristics " terminal, AF0For without access
The power distribution network anti-disaster capacity index of " anti-part throttle characteristics " terminal, power distribution network anti-disaster capacity index becomes before and after comparing access DG
Change, obtain power distribution network anti-disaster capability improving degree.
It is an object of the invention to propose a kind of method for assessing power distribution network anti-disaster capability improving degree, for commenting
Estimate the access of " anti-part throttle characteristics " terminal and nature calamity is established by taking disaster caused by a windstorm as an example to power distribution network anti-disaster capability improving degree, this method
Influence model of the evil to power distribution network；It is important in the power producing characteristics and load in hazard weather for considering the anti-part throttle characteristics terminals such as DG
Property on the basis of, establish load under disaster and cut down model；So as to which the access pair of " anti-part throttle characteristics " terminal is calculated
Power distribution network anti-disaster capability improving degree, it can recognize that DG etc. " anti-part throttle characteristics " terminal access power distribution network resists to power distribution network
Disaster capacity, so as to promote application of " anti-part throttle characteristics " terminal such as DG in power distribution network.
Brief description of the drawings
In order to illustrate more clearly of the technical scheme of the application, letter will be made to the required accompanying drawing used in embodiment below
Singly introduce, it should be apparent that, for those of ordinary skills, without having to pay creative labor,
Other accompanying drawings can also be obtained according to these accompanying drawings.
Fig. 1 is the flow for being used to assess the method for power distribution network anti-disaster capability improving degree that the embodiment of the present application provides
Figure；
Fig. 2 is the graph of relation of the fault rate that the embodiment of the present application provides and wind speed；
Fig. 3 is the load chart that the embodiment of the present application provides；
Fig. 4 is the distribution net work structure figure that the embodiment of the present application provides.
Embodiment
The method for assessing power distribution network anti-disaster capability improving degree that the application provides, for assessing, " anti-load is special
Property " terminal access is to power distribution network anti-disaster capability improving degree, to reflect " anti-part throttle characteristics " terminal-pair power distribution network anti-disaster
The influence of capability improving.
Referring to Fig. 1, Fig. 1 is the method for assessing power distribution network anti-disaster capability improving degree that the embodiment of the present application provides
Flow chart, methods described specifically includes step：
S101：The wind load for influenceing to be calculated power distribution network by disaster caused by a windstorm counts power distribution network Disaster degree.
Extreme disaster often causes the stress load of distribution mesh element to significantly increase, cause distribution line occur to fall bar,
Broken string, causes the failure of the equipment such as circuit and distributed power source to stop transport, and assesses the access of " anti-part throttle characteristics " terminal and power distribution network is resisted
Disaster capability improving degree, be based on the disaster-stricken order of severity of power distribution network, and influence of the disaster to power distribution network mainly passes through
Caused by mechanical loading, therefore the severity of the disaster-stricken influence of power distribution network can be entered by analyzing mechanical loading caused by disaster
OK, the application illustrates calculating process of the load to power distribution network influence degree by taking wind load as an example.
Disaster caused by a windstorm is mainly relevant with the wind speed of power distribution network present position to the influence degree of power distribution network.Wind field is axisymmetric circle
Shape whirlpool, so as to simulate the wind speed of each point, wind direction, it is most strong wind band, cyclone center and the position to have an annulus in wind field
Distance be maximum wind speed radius and the wind speed at this is respectively：
In above formula, VTSpeed is moved integrally for typhoon, △ P are the pressure of tropical cyclone periphery air pressure and center of typhoon air pressure
Difference, VgxFor greatest gradient wind speed, computational methods are respectively：
Wherein, f is earth rotation Coriolis force parameter；△P0For draught head before Landed Typhoon；To log in coastline and typhoon
Direction of motion angle；T is landing time.
Above the wind speed size V of each point and the point are simulation of wind circle to the relation between wind field centre distance r
Thus can calculate can obtain the wind speed of power distribution network present position.
S102：The characteristic of " anti-part throttle characteristics " terminal is counted, described " anti-part throttle characteristics " terminal goes out during calculating disaster
Power.
" anti-part throttle characteristics " terminal includes blower fan, photovoltaic array or energy storage device etc..
Wind power generation output under hazard weather is relevant with the real-time wind speed of blower fan present position, can be obtained by wind-field model
To each point wind speed, and then blower fan is correspondingly obtained by blower fan power curve and contributed in real time, the expression formula of blower fan power curve is
In formula, PwAnd PrRespectively blower fan is contributed in real time and rated power, parameter A, B, C are that blower fan power curve is non-linear
Partial coefficient of polynomial fitting, VciTo cut wind speed, VwFor the real-time wind speed of blower fan present position, VrFor the specified wind of blower fan
Speed, VcoFor blower fan wind speed.
When wind speed is between rated wind speed and cut-out wind speed, it is rated value that blower fan, which is contributed,.If the weaker heat of intensity
Without wind power plant, wind speed is larger, thus can promote the generated energy of wind power plant for band storm or severe tropical storm maximum wind speed radius
Increase.When wind speed exceedes cut-out wind speed, for the consideration of safety factor, blower fan will be stopped.Intensity of typhoon is relatively strong and maximum
When wind speed radius passes through wind power plant, the change of wind speed is violent, therefore to avoid frequent startup-shutdown phenomenon, should shift to an earlier date in this case
Make fan parking.
The real-time power output of photovoltaic array is mainly relevant with real-time intensity of illumination and temperature.But in view of the shadow of temperature
Sound is smaller, and general photovoltaic array has been equipped with voltage follow-up mechanism, so it is considered that the real-time output of photovoltaic mainly depends on
In intensity of illumination.The real-time output of photovoltaic array uses such as drag：
Wherein, PbAnd PsnThe respectively real-time output of photovoltaic and rated power；GbtAnd GstdRespectively real-time light intensity and normal light
According to intensity；RcFor the light intensity of a certain certain strength, photovoltaic is contributed under the light intensity starts to be changed into from non-linear with the relation of light intensity
Linearly.
When strong wind acts on photovoltaic battery panel, the fracture of photovoltaic bracket may be caused, influences photovoltaic during disaster
Normal operation.Larger backwards to wind load suffered by general photovoltaic battery panel, computational methods are
In formula：θ1For mounted angle；VpvFor the wind speed of photovoltaic panel present position；S is photovoltaic plate suqare.
Energy storage device is by taking battery as an example, and using KiBaM models, when extensive failure occurs, battery is located at isolated island
In, it is photovoltaic charged or powered for load by blower fan under its maximum discharge and recharge constraint.
S103：The output of " anti-part throttle characteristics " terminal, determines disaster with reference to described in during power distribution network Disaster degree and disaster
The supply load of period power distribution network, statistics obtain the load curve of power distribution network under disaster scenarios it.
When the component strength of circuit in itself is more than the load that it is born, circuit can be maked somebody a mere figurehead with reliability service, power distribution network
The wind load that circuit is subject to is directly proportional to wind speed, the wire diameter of circuit position, and expression is
N1=0.75V2Dsin2θ,
Wherein, V is the wind speed of power network overhead transmission line present position, and D is wire diameter；θ is the angle of wind direction and circuit.
Under the influence of disaster caused by a windstorm high wind speed, disconnection fault, line failure rate and wind speed occur for part electric distribution network overhead wire
Between relation curve it is as shown in Figure 2.Line failure rate is correspondingly obtained by wind speed, wind speed is bigger, and disconnection fault circuit is more.
According to fault rate of each bar circuit during disaster, fault element is extracted using the method for Monte Carlo simulation, it is raw
Into fault scenes.After extensive failure occurs, a large amount of load dead electricity, remainder load is powered by upper level power supply or supplied by DG
Electricity, after disaster caused by a windstorm passes by, fault restoration, load gradually restores electricity.
For the power distribution network of " anti-part throttle characteristics terminal " access, when disaster occurs, important load operates in isolated island with DG
Pattern, so as to ensure its continued power.In view of DG etc. " anti-part throttle characteristics terminal " contribute be real-time fluctuations, when DG contribute compared with
Hour, it is necessary to first ensure important load power supply, therefore the power provided in upper level power supply and " anti-part throttle characteristics terminal " is supported
Under collective effect, target is up to recover important load, determines the load that can be powered during disaster.
Wherein, wjFor load j weight, load is more important, and weight is bigger, and I stage loads are that 1, II stage loads are 0.1, III
Stage load is 0.01；Pj,t LFor normal power supply load j t active power.
Load according to that can be powered during disaster counts to obtain the change of the load curve under corresponding disaster scenarios it
The schematic diagram L (t) of journey is as shown in figure 3, in Fig. 3, t1~t2Stage is disaster, and failure gradually expands stage, fault element number
Increase, load level is integrally on a declining curve.t2~t3Stage is the failure most serious stage, and load level is minimum.t3Moment starts
Repair failure, t3~t4Stage is the fault restoration stage, and load gradually recovers.t1~t4Between disaster load curve and target bear
Region is enclosed between lotus curve for missing area RESn。
S104：According to the load curve of power distribution network under disaster scenarios it, calculate access " anti-part throttle characteristics " terminal front and rear and match somebody with somebody
Power network anti-disaster capacity index.
It can be obtained according to the load curve under disaster scenarios it, power distribution network anti-disaster ability can be represented with equation below：
Wherein,Degree is lacked for scene n delivery,Load for the realized load curve under hazard weather is equal
Value,The load average of target load curve during for as do not influenceed system operation by disaster, RESnArea is lacked for disaster.
The index is bigger, and load curve missing area is smaller, illustrates that the load loss of power distribution network is smaller during disaster, recovers normal and supplies
Electricity is faster, and power distribution network anti-disaster ability is stronger.
S105：Power distribution network anti-disaster capability improving degree after calculating access " anti-part throttle characteristics " terminal.
Compare power distribution network anti-disaster ability before and after access " anti-part throttle characteristics " terminal, comparing must access that " anti-part throttle characteristics is whole
To power distribution network anti-disaster capability improving degree after the DG of end ", it is represented by：
TAF=AFDG1-AF0,
Wherein, AFDG1For the power distribution network anti-disaster capacity index after access " anti-part throttle characteristics " terminal, AF0For without access
The power distribution network anti-disaster capacity index of " anti-part throttle characteristics " terminal, power distribution network anti-disaster capacity index becomes before and after comparing access DG
Change, obtain power distribution network anti-disaster capability improving degree.
The method for assessing power distribution network anti-disaster capability improving degree that the application provides, for assessing, " anti-load is special
Property " to power distribution network anti-disaster capability improving degree, this method establishes natural calamity to power distribution network by taking disaster caused by a windstorm as an example for terminal access
Influence model；In anti-part throttle characteristics terminals such as consideration DG on the power producing characteristics of hazard weather and the basis of load importance
On, the load established under disaster cuts down model；Power distribution network is resisted so as to which the access of " anti-part throttle characteristics " terminal is calculated
Disaster capability improving degree, anti-disaster ability of DG etc. " anti-part throttle characteristics " terminal access power distribution network to power distribution network can be recognized
Influence, so as to promote application of " anti-part throttle characteristics " terminal such as DG in power distribution network
With reference to instantiation the embodiment of the present application is provided be used for assess power distribution network anti-disaster capability improving degree
Method be described in detail.
As shown in Figure 4, the length of circuit is as shown in table 1 for distribution net work structure, and geography trend is as shown in figure 4, numeral represents
Feeder line segment number, there is breaker at feeder line section 1,6,11,16,19,25,31,37, have disconnecting switch at feeder line section 4,28.In Fig. 4
Circle label expression load point position, load point load average are as shown in table 2.The significance level classification of load：1 stage load node
For 1,12~13,18,20,31；2 stage load nodes are 3~4,6,8,10~11,15,17,23；Remaining is 3 type loads.Typhoon
Moving direction and feeder line 2 are in 45 ° of directions, and translational speed 6m/s, login location is away from power distribution network 182km.
Table 1：
| Length/km | Feeder line section sequence number |
| 0.6 | 2,3,8,9,12,13,17,19,20,24,25,28,31,34 |
| 0.75 | 1,5,6,7,10,14,15,22,23,26,27,30,33 |
| 0.8 | 4,11,16,18,21,29,32,38 |
| 1.6 | 37,39 |
| 2.5 | 36,40,35 |
Table 2：
| Load point sequence number | Load average/KW | Load point sequence number | Load average/KW |
| 1,24,29 | 358.1 | 7,21 | 781.8 |
| 2,19,30 | 382.5 | 8,14,16,22 | 356.7 |
| 3,26,27 | 650.3 | 9,23,31 | 757.6 |
| 4,18 | 696.1 | 10,11,12 | 340.9 |
| 5,28 | 458.7 | 13,20 | 500.2 |
| 6,25 | 387.2 | 15,17,32 | 602.5 |
DG on-positions in " anti-part throttle characteristics terminal " access scheme 1 as shown in figure 4, often locate DG include 5 Fans, 5
The batteries of photovoltaic array and total capacity 12000kWh, 1 Fans rated power 335kW.Photovoltaic plate suqare S takes 0.97m2,
Mounted angle θ1=24.5 °.
Calculated according to above-mentioned known conditions, disaster frequently can lead to the extensive fault scenes of multiple element failure.
By taking circuit 4,26,36 and 38 failures as an example, each stage load is horizontal during disaster and missing area is as shown in table 3.
Table 3：
As shown in Table 3, failure most serious stage power distribution network containing DG on-load is about the 55% (8.02/ of normal operation
14.68=0.55), 5.15MW loads (8.02-2.87=5.15) relatively can be supplied without DG power distribution networks more.DG accesses power distribution network
Afterwards, DG can support important load to power during disaster, and the missing area of load curve reduces about 47% ((229.91-
122.58)/229.91=0.47).Therefore, " anti-part throttle characteristics terminal " access can improve power distribution network anti-disaster ability.
Sampling generates and calculates the missing area of the load curve under each fault scenes, substitutes into power distribution network anti-disaster capacity formula
Corresponding power distribution network anti-disaster capacity index can be obtained.Anti-disaster ability under various " anti-part throttle characteristics terminal " access schemes
As shown in the first row of table 4.The lifting journey of power distribution network anti-disaster ability can be obtained by substituting into power distribution network anti-disaster capability improving degree formula
It is shown as is shown in line 2 of table 4 to spend assessment result.Wherein " anti-part throttle characteristics terminal " access scheme 2 is on the basis of scheme 1
DG is accessed at node 7,13 again.
Table 4：
| Do not access | Access scheme 1 | Access scheme 2 | |
| Power distribution network anti-disaster ability | 0.593 | 0.783 | 0.814 |
| Anti-disaster capability improving degree | - | 0.190 | 0.221 |
From the data in table 4, it can be seen that for without DG power distribution networks, load is only under normal circumstances in Hazard processes
59.3%.In the case where rack result and component strength are constant, DG accesses improve power distribution network anti-disaster ability, there is 78.3%
Load can be with normal power supply.In access scheme 2, DG total capacities increase, power distribution network anti-disaster ability is further promoted to
0.814.Access scheme 2 is bigger to the lifting effect of power distribution network anti-disaster ability., should for the area often influenceed by hazard weather
Mostly important load position access DG, so as to effectively improve the anti-disaster ability of the regional distribution network.
Above-described the application embodiment, does not form the restriction to the application protection domain.It is any in the application
Spirit and principle within the modifications, equivalent substitutions and improvements made etc., should be included within the protection domain of the application.
It should be noted that herein, such as term " comprising ", "comprising" or its any other variant are intended to
Nonexcludability includes, so that process, method, article or equipment including a series of elements not only will including those
Element, but also the other element including being not expressly set out, or it is this process, method, article or equipment also to include
Intrinsic key element.
Described above is only the embodiment of the application, is made skilled artisans appreciate that or realizing this Shen
Please.A variety of modifications to these embodiments will be apparent to one skilled in the art, as defined herein
General Principle can be realized in other embodiments in the case where not departing from spirit herein or scope.Therefore, the application
The embodiments shown herein is not intended to be limited to, and is to fit to and principles disclosed herein and features of novelty phase one
The most wide scope caused.
Claims (6)
- A kind of 1. method for assessing power distribution network anti-disaster capability improving degree, it is characterised in that methods described includes following Step：The wind load for influenceing to be calculated power distribution network by disaster caused by a windstorm counts power distribution network Disaster degree；The characteristic of " anti-part throttle characteristics " terminal is counted, the output of described " anti-part throttle characteristics " terminal during calculating disaster；The output of " anti-part throttle characteristics " terminal, determines power distribution network during disaster with reference to described in during power distribution network Disaster degree and disaster Supply load, statistics obtain the load curve of power distribution network under disaster scenarios it；According to the load curve of power distribution network under disaster scenarios it, power distribution network anti-disaster before and after access " anti-part throttle characteristics " terminal is calculated Capacity index；Power distribution network anti-disaster capability improving degree after calculating access " anti-part throttle characteristics " terminal.
- 2. according to the method for claim 1, it is characterised in that described " anti-part throttle characteristics " terminal during the calculating disaster Output, specifically include：Simulation calculates the real-time wind speed in blower fan present position, obtains blower fan output formula<mrow> <msub> <mi>P</mi> <mi>w</mi> </msub> <mo>=</mo> <mfenced open = "{" close = ""> <mtable> <mtr> <mtd> <mn>0</mn> </mtd> <mtd> <mrow> <mn>0</mn> <mo>&le;</mo> <msub> <mi>V</mi> <mi>w</mi> </msub> <mo><</mo> <msub> <mi>V</mi> <mrow> <mi>c</mi> <mi>i</mi> </mrow> </msub> </mrow> </mtd> </mtr> <mtr> <mtd> <mrow> <mo>(</mo> <mi>A</mi> <mo>+</mo> <mi>B</mi> <mo>&times;</mo> <msub> <mi>V</mi> <mi>w</mi> </msub> <mo>+</mo> <mi>C</mi> <mo>&times;</mo> <msubsup> <mi>V</mi> <mi>w</mi> <mn>2</mn> </msubsup> <mo>)</mo> <msub> <mi>P</mi> <mi>r</mi> </msub> </mrow> </mtd> <mtd> <mrow> <msub> <mi>V</mi> <mrow> <mi>c</mi> <mi>i</mi> </mrow> </msub> <mo>&le;</mo> <msub> <mi>V</mi> <mi>w</mi> </msub> <mo><</mo> <msub> <mi>V</mi> <mi>r</mi> </msub> </mrow> </mtd> </mtr> <mtr> <mtd> <msub> <mi>P</mi> <mi>r</mi> </msub> </mtd> <mtd> <mrow> <msub> <mi>V</mi> <mi>r</mi> </msub> <mo>&le;</mo> <msub> <mi>V</mi> <mi>w</mi> </msub> <mo>&le;</mo> <msub> <mi>V</mi> <mrow> <mi>c</mi> <mi>o</mi> </mrow> </msub> </mrow> </mtd> </mtr> <mtr> <mtd> <mn>0</mn> </mtd> <mtd> <mrow> <msub> <mi>V</mi> <mi>w</mi> </msub> <mo>></mo> <msub> <mi>V</mi> <mrow> <mi>c</mi> <mi>o</mi> </mrow> </msub> </mrow> </mtd> </mtr> </mtable> </mfenced> <mo>,</mo> </mrow>Wherein, PwAnd PrRespectively blower fan is contributed in real time and rated power, parameter A, B, C are blower fan power curve non-linear partial Coefficient of polynomial fitting, VciTo cut wind speed, VwFor the real-time wind speed of blower fan present position, VrFor blower fan rated wind speed, Vco For blower fan wind speed.
- 3. according to the method for claim 2, it is characterised in that the simulation calculates the real-time wind speed in blower fan present position, tool Body is：<mrow> <mi>V</mi> <mo>=</mo> <mfenced open = "{" close = ""> <mtable> <mtr> <mtd> <mrow> <msub> <mi>V</mi> <msub> <mi>R</mi> <mrow> <mi>m</mi> <mi>a</mi> <mi>x</mi> </mrow> </msub> </msub> <mi>r</mi> <mo>/</mo> <msub> <mi>R</mi> <mi>max</mi> </msub> </mrow> </mtd> <mtd> <mrow> <mi>r</mi> <mo>&le;</mo> <msub> <mi>R</mi> <mrow> <mi>m</mi> <mi>a</mi> <mi>x</mi> </mrow> </msub> </mrow> </mtd> </mtr> <mtr> <mtd> <mrow> <msub> <mi>V</mi> <msub> <mi>R</mi> <mrow> <mi>m</mi> <mi>a</mi> <mi>x</mi> </mrow> </msub> </msub> <msup> <mrow> <mo>(</mo> <msub> <mi>R</mi> <mrow> <mi>m</mi> <mi>a</mi> <mi>x</mi> </mrow> </msub> <mo>/</mo> <mi>r</mi> <mo>)</mo> </mrow> <mn>0.7</mn> </msup> </mrow> </mtd> <mtd> <mrow> <mi>r</mi> <mo>></mo> <msub> <mi>R</mi> <mrow> <mi>m</mi> <mi>a</mi> <mi>x</mi> </mrow> </msub> </mrow> </mtd> </mtr> </mtable> </mfenced> <mo>,</mo> </mrow>VRmaxFor the maximum wind velocity of cyclone center, RmaxFor maximum wind speed radius, r is blower fan to wind field centre distance.
- 4. according to the method for claim 2, it is characterised in that described " anti-part throttle characteristics " terminal during the calculating disaster Output, in addition to：Photovoltaic array is calculated to contribute in real timePbAnd PsnThe respectively real-time output of photovoltaic and rated power；GbtAnd GstdRespectively real-time light intensity and specified intensity of illumination；Rc For the light intensity of certain strength.
- 5. according to the method for claim 1, it is characterised in that according to the load curve of power distribution network under disaster scenarios it, calculate " anti-part throttle characteristics " terminal front and rear power distribution network anti-disaster capacity index is accessed, is specially：Power network anti-disaster capacity formula is obtained according to the load curve of power distribution network under disaster scenarios it<mrow> <mi>A</mi> <mi>F</mi> <mo>=</mo> <msub> <mover> <mi>F</mi> <mo>&OverBar;</mo> </mover> <mi>n</mi> </msub> <mo>=</mo> <mi>m</mi> <mi>e</mi> <mi>a</mi> <mi>n</mi> <mrow> <mo>(</mo> <mfrac> <mrow> <mover> <mi>L</mi> <mo>&OverBar;</mo> </mover> <mrow> <mo>(</mo> <mi>t</mi> <mo>)</mo> </mrow> <mo>&times;</mo> <mrow> <mo>(</mo> <msub> <mi>t</mi> <mn>4</mn> </msub> <mo>-</mo> <msub> <mi>t</mi> <mn>1</mn> </msub> <mo>)</mo> </mrow> </mrow> <mrow> <mover> <mrow> <mi>T</mi> <mi>L</mi> </mrow> <mo>&OverBar;</mo> </mover> <mrow> <mo>(</mo> <mi>t</mi> <mo>)</mo> </mrow> <mo>&times;</mo> <mrow> <mo>(</mo> <msub> <mi>t</mi> <mn>4</mn> </msub> <mo>-</mo> <msub> <mi>t</mi> <mn>1</mn> </msub> <mo>)</mo> </mrow> </mrow> </mfrac> <mo>)</mo> </mrow> <mo>=</mo> <mi>m</mi> <mi>e</mi> <mi>a</mi> <mi>n</mi> <mrow> <mo>(</mo> <mn>1</mn> <mo>-</mo> <mfrac> <mrow> <msub> <mi>RES</mi> <mi>n</mi> </msub> </mrow> <mrow> <mover> <mrow> <mi>T</mi> <mi>L</mi> </mrow> <mo>&OverBar;</mo> </mover> <mrow> <mo>(</mo> <mi>t</mi> <mo>)</mo> </mrow> <mo>&times;</mo> <mrow> <mo>(</mo> <msub> <mi>t</mi> <mn>4</mn> </msub> <mo>-</mo> <msub> <mi>t</mi> <mn>1</mn> </msub> <mo>)</mo> </mrow> </mrow> </mfrac> <mo>)</mo> </mrow> <mo>;</mo> </mrow>Wherein,Degree is lacked for scene n delivery,For the load average of the realized load curve under hazard weather,The load average of target load curve during not influenceed by disaster system operation such as, RESnArea is lacked for disaster.
- 6. according to the method for claim 1, it is characterised in that the power distribution network after calculating access " anti-part throttle characteristics " terminal Anti-disaster capability improving degree, it is specially：TAF=AFDG1-AF0,Wherein, AFDG1For the power distribution network anti-disaster capacity index after access " anti-part throttle characteristics " terminal, AF0For without access " anti-load The power distribution network anti-disaster capacity index of characteristic " terminal, power distribution network anti-disaster capacity index changes before and after comparing access DG, is matched somebody with somebody Power network anti-disaster capability improving degree.
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