CN109066776A - It is a kind of meter and the probabilistic power network line adequacy evaluation method of wind power output - Google Patents
It is a kind of meter and the probabilistic power network line adequacy evaluation method of wind power output Download PDFInfo
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Abstract
The invention discloses a kind of meter and the probabilistic power network line adequacy evaluation methods of wind power output, comprising the following steps: calculates the power output of Wind turbines and the uncertainty value of Wind turbines power output;Establish power network line adequacy indexesZ s , describedZ s Ratio equal to the sum of the actual transmissions capacity value of a certain grid power transmission route annual peak load day and wind power output uncertainty performance number with transmission line of electricity thermoae limit transmission capacity value;It calculatesZ s And its route abundant intensity is evaluated in conjunction with power network line adequacy indexes term of reference;Z s Closer to the lower limit value of power network line adequacy indexes term of reference, then evaluates the region and be more suitable for dissolving new energy and plan economical rationality.The present invention has filled up the blank of meter and the probabilistic power network line adequacy evaluation method of wind power output, from power network line abundant intensity under macroscopically evaluation new energy consumption background, provides foundation for Electric Power Network Planning and design.The present invention is suitable for Electric Power Network Planning field.
Description
Technical field
The invention belongs to new energy to dissolve the power network line planning field under background, be related to a kind of uncertain electricity of new energy
The appraisal procedure of net routing indicator, specifically a kind of meter and the probabilistic power network line adequacy evaluation side of wind power output
Method.
Background technique
In recent years, with the fast development of China's economic society, the demand to electric power maintains sustained and rapid growth, power grid construction
Rapid development is realized, but the scale of power grid will also avoid advising because of construction while meeting socio-economic development electricity needs
Utilization rate is low caused by mould is excessive and the wasting of resources.Reasonable power network line adequacy evaluation, the operation for improving power grid can
By property, it is ensured that the reasonable utilization of power grid asset and preferably consumption new energy have important practical significance.
Power grid is made of the transmission line of electricity of ascending, descending pressure transformer and various voltage class, is commented power grid scale abundant intensity
Valence should also carry out respectively in terms of power transformation scale with transmission line of electricity scale two.Currently, main to the evaluation of power transformation scale abundant intensity
Using " ratio of transformer capacity to load " index, it refer to the total capacity of certain voltage class substation that peak day puts into operation next year with
The ratio between peak load.But the evaluation analysis at present about transmission line of electricity scale abundant intensity is seldom, Patent No.
The patent of invention of " 2013106836510 " (a kind of denomination of invention: evaluation method of capacity adequacy of power transmission line of power grid) proposes
A kind of evaluation method of capacity adequacy of power transmission line of power grid, but the not uncertainty of meter and new energy power output, model compared with
To be simple, the actual conditions of power network line transmission are not combined well, are considered not comprehensive enough.
To sum up, at present about meter and new energy contribute the evaluation of probabilistic route abundant intensity research it is very deficient
It is weary, lack necessary theoretical basis, corresponding specification still belongs to blank with standard, due to not practical available evaluation index and meter
Calculation method, the foundation of line construction arrangement and capacity of trunk selection is lacked in planning and designing, therefore needs to carry out meter and new energy
Source is contributed the research in terms of the design of probabilistic power network line adequacy indexes and evaluation criterion.
Summary of the invention
To solve drawbacks described above existing in the prior art, the present invention is intended to provide a kind of meter and wind power output are uncertain
Power network line adequacy evaluation method, fill up the sky of meter and the probabilistic power network line adequacy evaluation method of wind power output
White, which for Electric Power Network Planning and can set from the power network line abundant intensity under macroscopically evaluation new energy consumption background
Meter provides foundation.
To achieve the above object, used technical solution is as follows by the present invention:
It is a kind of meter and the probabilistic power network line adequacy evaluation method of wind power output the following steps are included:
1) power output of Wind turbines is calculatedP w And the uncertainty value of Wind turbines power outputf(P w );
2) power grid is established with reference to the calculation method of ratio of transformer capacity to load with the similitude according to transformer and power network line ability to transmit electricity
Route adequacy indexesZ s , describedZ s Equal to the actual transmissions capacity value and wind-powered electricity generation of a certain grid power transmission route annual peak load day
Ratio of the sum of the uncertain performance number of contributing with transmission line of electricity thermoae limit transmission capacity value;
3) it calculates a certain voltage class and is evaluated power network line adequacy indexesZ s , and referred to according to power network line adequacy indexes
Range evaluates the route abundant intensity of the power grid;
If power network line adequacy indexesZ s Higher than the upper limit value of corresponding power network line adequacy indexes term of reference, then comment
The fixed power network line abundant intensity is too low, and it is weaker further to dissolve new energy ability;
If power network line adequacy indexesZ s Within corresponding power network line adequacy indexes term of reference, then evaluation should
Power network line abundant intensity is moderate, can preferably dissolve new energy;
If mains-power circuit adequacy indexesZ s Lower than the lower limit value of corresponding power network line adequacy indexes term of reference, then comment
The fixed regional power grid route abundant intensity is excessively high, although more new energy can be dissolved, initial stage plans not very economical rationality;
4) adequacy indexes of several transmission lines of electricity of the same voltage class of different zones are calculatedZ s , and it is rightZ s The row of being compared
Sequence, Z s Closer to power network line adequacy indexes term of reference lower limit value, then evaluate the region be more suitable for dissolve new energy and
Plan economical rationality.
As restriction, the power output of Wind turbines in the step 1)P w Calculation expression are as follows:
In formula,P w It contributes for Wind turbines,P r For the rated power of Wind turbines, vFor wind speed,v ci To cut wind speed,v r For
Rated wind speed,v co For cut-out wind speed, k1To cut power coefficient 1, k2To cut power coefficient 2;
The uncertainty value that Wind turbines are contributed in the step 1)f(P w ) Follow Weibull Distribution, calculation expression are as follows:
In formula,kFor form parameter,cFor scale parameter.
It is limited as another kind, in the step 2, Z s Foundation the following steps are included:
Collection is evaluated each transmission line length of power grid, the thermostabilization power-carrying of transmission line of electricity and each transmission line of electricity
In the maximum transmission power data at peak load moment;
The thermostabilization power-carrying of each transmission line of electricity of power grid will be evaluatedP Heat,i With corresponding line lengthl i It is asked after multiplication
With obtain the thermoae limit transmission capacity value of the power grid;
Maximum transmission power of each transmission line of electricity at the peak load moment of power grid will be evaluatedP max,i It is conveyed on the route
Wind power output uncertainty performance number be added after with respective lines lengthl i It sums after multiplication, obtains the actual transmissions of the power grid
Capability value, the wind power output uncertainty performance number are Wind turbines power outputP w,i With wind power output uncertainty valuef(P w,i )
Product;
By stepThe gained power grid actual transmissions capacity value and stepThe resulting power grid heat Total transfer capability value
It is divided by, obtains power network line adequacy indexesZ s Are as follows:
In formula,Z s Power network line adequacy indexes,iIt isiTransmission line of electricity,NFor the sum of transmission line of electricity,l i It isiItem
The length of transmission line of electricity,P max,i Maximum transmission power for transmission line of electricity at the peak load moment,P Heat,i For transmission line of electricity
Thermostabilization power-carrying,P w,i For the power output of Wind turbines,f(P w,i ) it is the uncertainty value that Wind turbines are contributed.
As further limiting, in the step 3), when voltage class is 110KV, power network line adequacy indexes are joined
Examining range is 0.19 ~ 0.23;When voltage class be 220 ~ 330KV when, power network line adequacy indexes term of reference be 0.17 ~
0.21;When voltage class is 500KV, power network line adequacy indexes term of reference is 0.15 ~ 0.19.
The present invention is due to using above-mentioned appraisal procedure, and compared with prior art, acquired technological progress is:
Similitude of the present invention according to transformer and power network line ability to transmit electricity with reference to the concept of ratio of transformer capacity to load, and combines electricity
The actual conditions of cable road ability to transmit electricity, the uncertainty of meter and wind power output, establish power network line adequacy indexesZ s , fill out
The blank of meter and wind power output uncertainty power network line adequacy evaluation method is mended;Secondly The present invention gives different voltages
The power network line adequacy indexes term of reference of grade, the transmission line of electricity adequacy indexes that can will be calculatedZ s In conjunction with the index
Term of reference is evaluated from macroscopically the power network line abundant intensity under background is dissolved to new energy.The present invention is that route is abundant
The evaluation of degree provides solid theoretical foundation, and the route adequacy evaluation method that is proposed and index term of reference are to instructing area
Domain line construction scale of investment, route line footpath, capacity arrangement and consumption new energy are of great significance.
To sum up, the present invention can be advised from the power network line abundant intensity under macroscopically evaluation new energy consumption background for power grid
It draws and design provides foundation, be suitable for power network line planning field.
Detailed description of the invention
Fig. 1 is the Comparative result evaluated using appraisal procedure of the invention tetra- province's 110KV transmission line of electricity of A, B, C, D
Figure.
Fig. 2 is the result evaluated using appraisal procedure of the invention tetra- region 500KV transmission lines of electricity of Z, X, V, N
Comparison diagram.
Specific embodiment
Hereinafter, preferred embodiments of the present invention will be described with reference to the accompanying drawings.It should be appreciated that preferred reality described herein
Apply example only for the purpose of illustrating and explaining the present invention and is not intended to limit the present invention.
Meter of the present invention and the probabilistic power network line adequacy evaluation method of wind power output, include the following steps:
1) power output of Wind turbinesP w Depending on wind conditions, calculation expression are as follows:
In formula (1),P w It contributes for Wind turbines,P r For the rated power of Wind turbines, vFor wind speed,v ci To cut wind speed,v r For rated wind speed,v co For cut-out wind speed, k1To cut power coefficient 1, k2To cut power coefficient 2;
The changing rule Follow Weibull difference for showing wind speed according to the statistical result of the data of a large amount of actual measurement wind speed, is counted according to this
Calculate the uncertainty of Wind turbines power outputf(P w ), expression formula are as follows:
In formula (2),kFor form parameter,cFor scale parameter.
2) according to the similitude of power network line ability to transmit electricity and transformer ability to transmit electricity, i.e., a certain voltage class transformer connects
Then high-pressure side and low-pressure side, transformer realize the electric energy transmission of high-pressure side and low-pressure side, and same voltage class transmission line of electricity connects
Then electric power decanting point and electric power flow out point, and transmission line of electricity realizes that the electric energy between electric power decanting point and electric power outflow point transmits,
The electric energy transfer function of transmission line of electricity and the electric energy transfer function of transformer are similar, according to this similar features, hold with reference to power transformation
The calculation method for carrying ratio, establishes grid power transmission route adequacy indexesZ s , describedZ s It is negative equal to a certain grid power transmission route year maximum
The ratio of the sum of actual transmissions capacity value and wind power output uncertainty performance number of lotus day with thermoae limit transmission capacity value,Z s 's
Specific step is as follows for foundation:
Collection is evaluated each transmission line length of power grid, the thermostabilization power-carrying of transmission line of electricity and each transmission line of electricity
In the maximum transmission power data at peak load moment;
The thermostabilization power-carrying of each transmission line of electricity of power grid will be evaluatedP Heat,i With corresponding line lengthl i It is asked after multiplication
With obtain the thermoae limit transmission capacity value of the power grid;
Maximum transmission power of each transmission line of electricity at the peak load moment of power grid will be evaluatedP max,i It is conveyed on the route
Wind power output uncertainty performance number be added after with respective lines lengthl i It sums after multiplication, obtains the actual transmissions of the power grid
Capability value, the wind power output uncertainty performance number are Wind turbines power outputP w,i With wind power output uncertainty valuef(P w,i )
Product;
By stepThe gained power grid actual transmissions capacity value and stepThe resulting power grid heat Total transfer capability value
It is divided by, obtains power network line adequacy indexesZ s Are as follows:
In formula,Z s Power network line adequacy indexes,iIt isiTransmission line of electricity,NFor the sum of transmission line of electricity,l i It isiItem
The length of transmission line of electricity,P max,i Maximum transmission power for transmission line of electricity at the peak load moment,P Heat,i For transmission line of electricity
Thermostabilization power-carrying,P w,i For the power output of Wind turbines,f(P w,i ) it is the uncertainty value that Wind turbines are contributed.
3) power network line adequacy indexes under the voltage class of somewhere are calculated using formula (1), formula (2), formula (3)Z s , and
The power network line adequacy indexes term of reference provided according to table 1, evaluates the route abundant intensity of this area's power grid;
1 power network line adequacy indexes term of reference of table
If being evaluated power network line adequacy indexesZ s Higher than the power network line adequacy indexes term of reference provided in table
Upper limit value, then it is too low to evaluate the power network line abundant intensity, and it is weaker further to dissolve new energy ability;
If being evaluated power network line adequacy indexesZ s The power network line adequacy indexes term of reference provided in table it
Interior, then it is moderate to evaluate the power network line abundant intensity, can preferably dissolve new energy;
If being evaluated mains-power circuit adequacy indexesZ s Lower than the power network line adequacy indexes term of reference provided in table
It is excessively high then to evaluate the regional power grid route abundant intensity for lower limit value, although more new energy can be dissolved, initial stage is planned not very
Economical rationality.
4) adequacy indexes of several transmission lines of electricity of the same voltage class of different zones are calculatedZ s , and it is rightZ s It is compared
Sequence, Z s Closer to the lower limit value of power network line adequacy indexes term of reference, then evaluates the region and be more suitable for dissolving new energy
And planning economical rationality.
Embodiment 1: as shown in Figure 1, tetra- province 110kV power transmission line travel permit number of A, B, C, D is respectively 225,183,146,157.
Collect tetra- each transmission line of electricity thermostabilization Total transfer capability of province's 110kV power grid of A, B, C, D and each line length respectively, respectively by A,
B, flow data of the tetra- province 110kV grid power transmission route of C, D at the peak load moment makees tetra- province's 110kV power network line of A, B, C, D
Practical total transfer capability, i.e. maximum transmission power;Use formula (1), formula (2) respectively to tetra- province's wind power output of A, B, C, D with
And uncertainty is calculated, then in conjunction with real data, using formula (3) to four province 110kV power network line adequacy indexesZ s
It is calculated, obtains the route adequacy indexes of tetra- province's 110kV power network line of A, B, C, DZ s Respectively 0.196,0.217,
0.203,0.221.The grid power transmission route adequacy indexes term of reference provided according to table 1, it can be seen that tetra- province of A, B, C, D
110kV grid power transmission route abundant intensity valueZ s In corresponding term of reference, show that tetra- province's power grid transmission line of electricity of A, B, C, D is abundant
It spends moderate, can preferably dissolve new energy, and the abundant angle value of power network line of tri- province of B, C, DZ s There is a spacing apart from upper limit value
From thering are larger potentiality to dissolve more new energy, the transmission line of electricity capacity adequacy angle value that A is saved is in its range of value internal ratio other three
It saves closer to lower limit value, illustrates to be more suitable for dissolving new energy and initial stage planning economical rationality.
Embodiment 2: as shown in Fig. 2, tetra- region 500kV power transmission line travel permit numbers of Z, X, V, N are respectively 58,72,66,48.
Tetra- each transmission line of electricity thermostabilization Total transfer capabilities of region 500kV power grid of Z, X, V, N and each line length are collected respectively, respectively
Using tetra- region 500kV transmission lines of electricity of Z, X, V, N the peak load moment flow data as tetra- regions Z, X, V, N
The practical total transfer capability of 500kV power grid, i.e. maximum transmission power;Using formula (1), formula (2) respectively to tetra- areas Z, X, V, N
Domain wind power output and uncertainty are calculated, then in conjunction with real data, using formula (3) to tetra- regions Z, X, V, N
The adequacy indexes of 500kV power network lineZ s It is calculated, it is abundant to obtain tetra- region 500kV grid power transmission routes of Z, X, V, N
Spend indexZ s Respectively 0.142,0.207,0.181,0.174.The grid power transmission route adequacy indexes reference provided according to table 1
Range, it can be seen that in tetra- regions Z, X, V, N, the horizontal index of Z region 500kV transmission line of electricity abundant intensityZ s It is 0.142, is less than
The lower limit value 0.15 of term of reference, then Z region grid power transmission route abundant intensity is excessively high, can dissolve more new energy but initial stage is planned
Not economical rationality;The horizontal index of the region X 500kV transmission line of electricity abundant intensityZ s It is 0.207, greater than the upper limit value of term of reference
0.19, then X regional power grid transmission line of electricity abundant intensity is too low, and consumption new energy ability exceeds the range that can bear;The region V
The horizontal index of 500kV transmission line of electricity abundant intensityZ s It is 0.181, within term of reference, then V regional power grid transmission line of electricity abundant intensity
It is moderate, it can preferably dissolve new energy;The horizontal index of n-quadrant 500kV transmission line of electricity abundant intensityZ s It is 0.174, in term of reference
Within, then V regional power grid transmission line of electricity abundant intensity is moderate, can preferably dissolve new energy.
If power network line adequacy indexes of the inventionZ s Value is bigger, then the practical abundant intensity of power network line is lower, consumption
New energy ability is more saturated, and can cause the anxiety of grid power transmission route to a certain extent;If power network line of the invention
Adequacy indexesZ s It is worth smaller, then the practical abundant intensity of transmission line of electricity is higher, and consumption new energy ability is stronger, if certainlyZ s Lower than finger
It is too many to mark term of reference lower limit value, then it is uneconomical reasonable to illustrate to plan, will cause the waste of transmission line of electricity to a certain extent.
Finally, it should be noted that the foregoing is only a preferred embodiment of the present invention, it is not intended to restrict the invention,
Although the present invention is described in detail referring to the foregoing embodiments, for those skilled in the art, still may be used
To modify the technical solutions described in the foregoing embodiments or equivalent replacement of some of the technical features.
All within the spirits and principles of the present invention, any modification, equivalent replacement, improvement and so on should be included in of the invention
Within protection scope.
Claims (4)
1. a kind of meter and the probabilistic power network line adequacy evaluation method of wind power output, it is characterised in that: it includes following
Step:
1) power output of Wind turbines is calculatedP w And the uncertainty value of Wind turbines power outputf(P w );
2) power grid is established with reference to the calculation method of ratio of transformer capacity to load with the similitude according to transformer and power network line ability to transmit electricity
Route adequacy indexesZ s , describedZ s Equal to the actual transmissions capacity value and wind-powered electricity generation of a certain grid power transmission route annual peak load day
Ratio of the sum of the uncertain performance number of contributing with transmission line of electricity thermoae limit transmission capacity value;
3) it calculates a certain voltage class and is evaluated power network line adequacy indexesZ s , and referred to according to power network line adequacy indexes
Range evaluates the route abundant intensity of the power grid;
If power network line adequacy indexesZ s Higher than the upper limit value of corresponding power network line adequacy indexes term of reference, then comment
The fixed power network line abundant intensity is too low, and it is weaker further to dissolve new energy ability;
If power network line adequacy indexesZ s Within corresponding power network line adequacy indexes term of reference, then evaluation should
Power network line abundant intensity is moderate, can preferably dissolve new energy;
If mains-power circuit adequacy indexesZ s Lower than the lower limit value of corresponding power network line adequacy indexes term of reference, then comment
The fixed regional power grid route abundant intensity is excessively high, although more new energy can be dissolved, initial stage plans not very economical rationality;
4) adequacy indexes of several transmission lines of electricity of the same voltage class of different zones are calculatedZ s , and it is rightZ s Sequence is compared,Z s Closer to the lower limit value of power network line adequacy indexes term of reference, then evaluates the region and be more suitable for dissolving new energy and planning
Economical rationality.
2. a kind of meter according to claim 1 and the probabilistic power network line adequacy evaluation method of wind power output,
It is characterized in that: the power output of Wind turbines in the step 1)P w Calculation expression are as follows:
In formula,P w It contributes for Wind turbines,P r For the rated power of Wind turbines, vFor wind speed,v ci To cut wind speed,v r For
Rated wind speed,v co For cut-out wind speed, k1To cut power coefficient 1, k2To cut power coefficient 2;
The uncertainty value that Wind turbines are contributed in the step 1)f(P w ) Follow Weibull Distribution, calculation expression are as follows:
In formula,kFor form parameter,cFor scale parameter.
3. according to claim 1 or 2 it is described in any item it is a kind of meter and the probabilistic power network line abundant intensity of wind power output comment
Estimate method, it is characterised in that: in the step 2, Z s Foundation the following steps are included:
Collection is evaluated each transmission line length of power grid, the thermostabilization power-carrying of transmission line of electricity and each transmission line of electricity and exists
The maximum transmission power data at peak load moment;
The thermostabilization power-carrying of each transmission line of electricity of power grid will be evaluatedP Heat,i With corresponding line lengthl i It is asked after multiplication
With obtain the thermoae limit transmission capacity value of the power grid;
Maximum transmission power of each transmission line of electricity at the peak load moment of power grid will be evaluatedP max,i It is conveyed on the route
Wind power output uncertainty performance number be added after with respective lines lengthl i It sums after multiplication, obtains the actual transmissions of the power grid
Capability value, the wind power output uncertainty performance number are Wind turbines power outputP w,i With wind power output uncertainty valuef(P w,i )
Product;
By stepThe gained power grid actual transmissions capacity value and stepThe resulting power grid heat Total transfer capability value phase
It removes, obtains power network line adequacy indexesZ s Are as follows:
In formula,Z s Power network line adequacy indexes,iIt isiTransmission line of electricity,NFor the sum of transmission line of electricity,l i It isiItem
The length of transmission line of electricity,P max,i Maximum transmission power for transmission line of electricity at the peak load moment,P Heat,i For transmission line of electricity
Thermostabilization power-carrying,P w,i For the power output of Wind turbines,f(P w,i ) it is the uncertainty value that Wind turbines are contributed.
4. a kind of meter according to claim 3 and the probabilistic power network line adequacy evaluation method of wind power output,
Be characterized in that: in the step 3), when voltage class be 110KV when, power network line adequacy indexes term of reference be 0.19 ~
0.23;When voltage class is 220 ~ 330KV, power network line adequacy indexes term of reference is 0.17 ~ 0.21;Work as voltage class
When for 500KV, power network line adequacy indexes term of reference is 0.15 ~ 0.19.
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Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2006003977A (en) * | 2004-06-15 | 2006-01-05 | Toshiba Corp | Energy service method and energy service system |
CN103473393A (en) * | 2013-08-20 | 2013-12-25 | 国家电网公司 | Method for modeling power transmission margin control model considering random probability |
CN103617572A (en) * | 2013-12-13 | 2014-03-05 | 国家电网公司 | Method for evaluating capacity adequacy of power transmission line of power grid |
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Patent Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
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JP2006003977A (en) * | 2004-06-15 | 2006-01-05 | Toshiba Corp | Energy service method and energy service system |
CN103473393A (en) * | 2013-08-20 | 2013-12-25 | 国家电网公司 | Method for modeling power transmission margin control model considering random probability |
CN103617572A (en) * | 2013-12-13 | 2014-03-05 | 国家电网公司 | Method for evaluating capacity adequacy of power transmission line of power grid |
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Application publication date: 20181221 |