CN113328469A - Wind-fire bundling power transmission channel capacity design method, device, terminal and medium - Google Patents
Wind-fire bundling power transmission channel capacity design method, device, terminal and medium Download PDFInfo
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- CN113328469A CN113328469A CN202110643196.6A CN202110643196A CN113328469A CN 113328469 A CN113328469 A CN 113328469A CN 202110643196 A CN202110643196 A CN 202110643196A CN 113328469 A CN113328469 A CN 113328469A
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- 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
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
- H02J3/46—Controlling of the sharing of output between the generators, converters, or transformers
- H02J3/466—Scheduling the operation of the generators, e.g. connecting or disconnecting generators to meet a given demand
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- 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
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/007—Arrangements for selectively connecting the load or loads to one or several among a plurality of power lines or power sources
- H02J3/0075—Arrangements for selectively connecting the load or loads to one or several among a plurality of power lines or power sources for providing alternative feeding paths between load and source according to economic or energy efficiency considerations, e.g. economic dispatch
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- 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
- H02J2203/10—Power transmission or distribution systems management focussing at grid-level, e.g. load flow analysis, node profile computation, meshed network optimisation, active network management or spinning reserve management
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- 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]
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E10/00—Energy generation through renewable energy sources
- Y02E10/70—Wind energy
- Y02E10/76—Power conversion electric or electronic aspects
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Abstract
The invention discloses a method, a device, a terminal and a medium for designing the capacity of a wind-fire bundled power transmission channel, wherein the method comprises the following steps: acquiring wind power output data, and fitting the wind power output data through a wind speed probability model to obtain a wind speed distribution model; drawing a probability cumulative distribution map of wind power output according to the wind speed distribution model, and calculating a wind power output margin corresponding to a preset cumulative probability value; calculating the wind-fire proportion of the tested area through a wind-fire bundling proportion formula, and determining the minimum thermal power output; and designing the capacity of the power transmission channel by using the constraint condition that the sum of the wind power output margin and the thermal power minimum output is less than or equal to the capacity of the power transmission channel. According to the method, the wind power output data are fitted by adopting the weibull distribution model, the calculation efficiency is improved, the wind power and thermal power installed capacity and the power transmission capacity of a local delivery channel are calculated by combining the wind power and thermal power bundling ratio, and the channel capacity utilization rate and the economy of the power transmission channel are improved under the condition that the high-ratio wind power and thermal power ratio is considered.
Description
Technical Field
The invention relates to the technical field of wind power generation, in particular to a method, a device, a terminal and a medium for designing the capacity of a wind-fire bundling power transmission channel.
Background
In the technical field of wind power generation, due to randomness and fluctuation of wind power output in a wind-fire bundling and conveying system, if the capacity of a matching power grid delivery channel designed according to delivery of full-amount wind power generation electric energy is used, great resource waste is often caused, and the peak shaving cost of the system is increased due to the fact that wind power needs to be received. In practical application, if thermal power in the wind-fire bundling and conveying system reaches the minimum output, the capacity of a power transmission channel is designed according to full generation of the wind power, and accordingly, large resource waste is caused. For example, in the existing wind-fire bundling power transmission channel capacity design method, thermal power is taken as an adjusting means, the situation that the utilization rate of a power transmission channel is not high due to the fact that wind power is fully generated and the thermal power ratio is high, part of channel capacity is close to an idle state or little electric quantity is transmitted usually occurs, and the obtained benefit is far lower than the channel construction cost and the operation cost. Therefore, an efficient design method for the capacity of the wind fire large bundle delivery channel is urgently needed to improve the utilization rate of the power transmission channel so as to obtain greater benefits.
Disclosure of Invention
The invention aims to provide a method, a device, a terminal and a medium for designing the capacity of a wind-fire bundling power transmission channel, so as to solve the problems of high resource waste and low economy caused by low utilization rate of the capacity of the existing channel.
In order to overcome the defects in the prior art, the invention provides a wind-fire bundled power transmission channel capacity design method, which comprises the following steps:
acquiring wind power output data, and fitting the wind power output data through a wind speed probability model to obtain a wind speed distribution model;
drawing a probability cumulative distribution map of wind power output according to the wind speed distribution model, and calculating a wind power output margin corresponding to a preset cumulative probability value;
calculating the wind-fire proportion of the tested area through a wind-fire bundling proportion formula, and determining the minimum thermal power output;
and designing the capacity of the power transmission channel by taking the sum of the wind power output margin and the thermal power minimum output less than or equal to the capacity of the power transmission channel as a constraint condition.
Further, the wind-fire bundling power transmission channel capacity design method further includes:
and obtaining an optimal design scheme of the capacity of the power transmission channel according to the wind curtailment rate, the weight of the utilization rate of the power transmission channel and the constraint condition.
Further, the preset cumulative probability value includes: 95% cumulative probability, 90% cumulative probability, 85% cumulative probability, 80% cumulative probability.
Further, the wind speed probability model is a weibull distribution model.
The invention also provides a device for designing the capacity of the wind-fire bundling power transmission channel, which comprises:
the wind speed distribution model fitting unit is used for acquiring wind power output data and fitting the wind power output data through a wind speed probability model to obtain a wind speed distribution model;
the wind power output margin calculation unit is used for drawing a probability accumulative distribution map of wind power output according to the wind speed distribution model and calculating a wind power output margin corresponding to a preset accumulative probability value;
the thermal power minimum output calculation unit is used for calculating the wind-fire proportion of the tested area through a wind-fire bundling proportion formula and determining the thermal power minimum output;
and the power transmission channel capacity design unit is used for designing the power transmission channel capacity by taking the sum of the wind power output margin and the thermal power minimum output less than or equal to the power transmission channel capacity as a constraint condition.
Further, the wind fire bundling power transmission channel capacity design device further comprises an optimal power transmission channel capacity design unit, configured to:
and obtaining an optimal design scheme of the capacity of the power transmission channel according to the wind curtailment rate, the weight of the utilization rate of the power transmission channel and the constraint condition.
Further, the preset cumulative probability value includes: 95% cumulative probability, 90% cumulative probability, 85% cumulative probability, 80% cumulative probability.
Further, the wind speed probability model is a weibull distribution model.
The present invention also provides a terminal device, including:
one or more processors;
a memory coupled to the processor for storing one or more programs;
when executed by the one or more processors, cause the one or more processors to implement the wind fire bundling power transmission channel capacity designing method as claimed in any one of the preceding claims.
The invention also provides a computer readable storage medium having stored thereon a computer program for execution by a processor to implement the wind fire bundling power transmission channel capacity designing method as defined in any one of the above.
Compared with the prior art, the invention has the beneficial effects that:
the invention discloses a wind-fire bundling power transmission channel capacity design method which comprises the steps of obtaining wind power output data, fitting the wind power output data through a wind speed probability model to obtain a wind speed distribution model; drawing a probability cumulative distribution map of wind power output according to the wind speed distribution model, and calculating a wind power output margin corresponding to a preset cumulative probability value; calculating the wind-fire proportion of the tested area through a wind-fire bundling proportion formula, and determining the minimum thermal power output; and designing the capacity of the power transmission channel by using the constraint condition that the sum of the wind power output margin and the thermal power minimum output is less than or equal to the capacity of the power transmission channel. According to the method, the wind power output data are fitted by adopting different wind speed distribution models, the calculation efficiency is improved, the wind power and thermal power installed capacity and the power transmission capacity of the local delivery channel are calculated by combining the wind power and thermal power bundling ratio, and the channel capacity utilization rate and the economy of the power transmission channel are improved under the condition that the high-ratio wind power and thermal power ratio is considered.
Drawings
In order to more clearly illustrate the technical solution of the present invention, the drawings needed to be used in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a schematic flow chart of a method for designing capacity of a wind fire bundling power transmission channel according to an embodiment of the present invention;
fig. 2 is a schematic flow chart of a wind-fire bundling power transmission channel capacity design method according to yet another embodiment of the present invention;
FIG. 3 is a schematic diagram of wind speed probabilities under different distribution models provided by an embodiment of the invention;
fig. 4 is a schematic diagram of a power transmission path provided by an embodiment of the invention;
FIG. 5 is a schematic diagram of an effective wind power output according to an embodiment of the present invention;
fig. 6 is a schematic structural diagram of a wind fire bundling power transmission channel capacity design device according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It should be understood that the step numbers used herein are for convenience of description only and are not intended as limitations on the order in which the steps are performed.
It is to be understood that the terminology used in the description of the invention herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used in the specification of the present invention and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise.
The terms "comprises" and "comprising" indicate the presence of the described features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof.
The term "and/or" refers to and includes any and all possible combinations of one or more of the associated listed items.
In a first aspect:
referring to fig. 1-2, an embodiment of the present invention provides a method for designing capacity of a wind-fire bundled power transmission channel, including:
s10, wind power output data are obtained, and the wind power output data are fitted through a wind speed probability model to obtain a wind speed distribution model;
s20, drawing a probability accumulation distribution map of wind power output according to the wind speed distribution model, and calculating a wind power output margin corresponding to a preset accumulation probability value;
s30, calculating the wind-fire ratio of the measured area through a wind-fire bundling ratio formula, and determining the minimum thermal power output;
and S40, designing the capacity of the power transmission channel by taking the sum of the wind power output margin and the thermal power minimum output less than or equal to the capacity of the power transmission channel as a constraint condition.
It should be noted that, in the engineering practice, if the thermal power in the wind-fire bundling and conveying system has reached the minimum output, the capacity of the power transmission channel is designed according to the full generation of the wind power, which may cause resource waste. Taking a certain wind power base as an example, the time of the unit capacity of 10GW, which is operated below 6.7GW, accounts for 95%, and the power generation amount exceeding 9.7GW is only 1%. That is, if the delivery project is completed with 10GW capacity, the power grid investment of 1/3 will only obtain less than 5% of the electricity, so the transmission channel capacity can be reduced appropriately to improve the channel utilization. Therefore, according to the probability distribution of the wind field output power, the high wind speed interval with smaller probability can be reasonably abandoned so as to improve the utilization rate of the wind fire bundling and outward conveying channel, reduce the channel design cost and improve the overall economic benefit of the wind fire bundling and outward conveying channel.
Specifically, in step S10, the wind speed distribution model is obtained by fitting the acquired wind power output data mainly through a wind speed probability model.
In one embodiment, the wind speed probability model used in the present invention is a weibull distribution model. In general, there are three main types of wind speed probability models for wind speed distribution statistics, as shown in FIG. 3, including Rayleigh distribution, weibull distribution, and Lognnorm distribution. Specifically, as shown in fig. 2, the method for determining the wind speed model according to the embodiment of the present invention first counts wind power output data, and uses the three wind speed probability models to perform fitting, and combines actual conditions to obtain the model with the best fitting effect as the wind speed distribution model according to the present invention. As can be seen from fig. 3, in the comparison result after fitting the three distributions, the variation trend of the weibull distribution better conforms to the variation rule of the data, and the fitting effect is better. And meanwhile, calculating maximum likelihood estimated values corresponding to the three distributions according to the sampled data points, wherein the higher the maximum likelihood estimated value is, the higher the precision is, according to relevant conclusions of statistics. Therefore, the embodiment of the invention preferentially selects the weibull distribution as the actual wind speed distribution model.
Specifically, the calculation formula of the wind speed distribution model is as follows:
wherein X is the wind speed per unit value, and the reference value is the annual wind speed maximum value VmaxTaking the wind speed of 15m/s when the power of the fan is limited; λ and k are the scale parameter and shape parameter of weibull distribution, respectively, and can be obtained by the following formulas:
according to the actually measured wind speed data, the mean value and the variance can be calculated, the parameters lambda and k can be obtained through the formulas (2) to (4), and then each parameter value in the wind speed probability model is determined.
Further, in step S20, a probability cumulative distribution map of the wind power output is drawn according to the wind speed distribution model, and a wind power output margin corresponding to a preset cumulative probability value is calculated, specifically, the calculation process is as follows:
in the formula, PeIs the fan power; cpIs the wind energy conversion rate value; a is the area of the wind swept area,
(R is the fan blade length, pi-3.1415926); v is the wind speed; eta is a coefficient. Converting the formula (5) into a per unit value form and substituting into the formula (1)
In the formula, Pe*Is a per unit value of power. The cumulative probability T of the wind power output can be obtained by integrating the formula (6) as follows:
in one embodiment, a method for designing a power transmission channel is provided to improve the economy of an outgoing power transmission channel and the utilization rate of the power transmission channel. As shown in fig. 4, when the wind-fire bundling high-proportion outgoing is considered, the power limit of the outgoing channel is the sum of the minimum thermal power output and the maximum wind power output, but in the wind power generation process, the probability that the wind power plant operates in a high wind speed interval is low, at this time, appropriate wind abandoning is performed, an appropriate wind abandoning section is selected, the capacity of the outgoing power transmission channel is reduced, the channel utilization rate can be improved, and considerable economic benefits are ensured. Because wind power often works at a medium-low wind speed period, the capacity of a part of power transmission channels is reduced, certain construction cost and operation and maintenance cost can be reduced, and the economy is improved. In the existing calculation method, 95% of probability is selected as a wind abandoning section according to experience mostly, but the influence of economy on the construction of a power transmission channel is ignored, so that the embodiment of the invention provides a more economical selection method.
Specifically, the effective wind power output is determined according to the wind speed probability distribution. And (3) drawing an accumulative probability graph of the local wind power output by combining with a formula (7), wherein as shown in fig. 5, fig. 5 shows a schematic diagram of the wind power effective output. After the selected ordinate is substituted into the formula (7), the corresponding abscissa can be calculated, and according to a formula and a curve fitted according to typical data, it can be seen that the latter half of the curve is gradually reduced along with the increase of the wind power output, the smaller the acceleration rate of the accumulated probability is, and the lower the probability occupied by the larger wind power output is, so that a method for reducing the size of the power transmission channel and abandoning part of the larger wind power output can be selected to improve the utilization rate of the power transmission channel. In this embodiment, the 95% cumulative probability, the 90% cumulative probability, the 85% cumulative probability, and the 80% cumulative probability are respectively selected, and the corresponding wind power output margin is calculated for calculating the wind power ratio and the minimum power output in step S30.
Further, in step S30, the wind-fire ratio of the measured area is calculated by the wind-fire bundling ratio formula, and the minimum thermal power output is determined. And then in step S40, the sum of the wind power output margin and the thermal power minimum output is less than or equal to the capacity of a power transmission channel as a constraint condition, and the capacity of the power transmission channel is designed.
In the present embodiment, regarding calculating the capacity of the power transmission channel, it is necessary to calculate the wind-fire bundling ratio after selecting the wind power margin size, and calculate the capacity of the power transmission channel according to the ratio and the actual situation of the local thermal power generating unit. In particular, the amount of the solvent to be used,
suppose PWind.maxAnd PWind.minRepresenting maximum and minimum output of wind power, PfireThe installed capacity of the thermal power generating unit. Will PfireDecomposed into minimum force Pfire.minAnd an adjustable capacity Pfire.reBecause wind power output has randomness and is difficult to predict accurately, thermal power should be reserved with enough adjustable capacity to meet power change of wind power under long-time scale, and the requirements are as follows:
Pfire＝Pfire.min+Pfire.re (8)
Pfire.re≥PWind.max-PWind.min (9)
according to the given scene, the minimum technical output of the thermoelectric generator set is 40%, so that
Ffire.min＝0.4*Pfire (10)
Pfire.re＝0.6*Pfire≥PWind.max-PWind.min (11)
Then according to the wind-fire bundling proportioning method, the calculation formula of the effective output and the guaranteed output of the wind power is as follows:
in the formula, PefFor effective wind power output, PenFor ensuring wind power output, PWindThe installed capacity of wind power. Defining a factor beta ═ Pef-PenAnd beta is the fluctuation quantity of the wind power output.
The relationship between the fluctuation amount of wind power output and the adjustable capacity of the thermal power generating unit is as follows:
Ffire.re≥β*PWind (14)
the wind-fire bundling ratio calculation formula can be obtained from (8) and (14):
channel capacity PWThe calculation formula is as follows:
Pfire.min+PWind.max＝PW (16)
finally, simultaneous equations (15) and (16) can obtain the wind-fire ratio and the channel capacity.
To assist understanding, in one embodiment, the channel capacity design method at different cumulative probabilities is described in terms of specific data:
1) wind-fire ratio:
from the measured wind speed data, the mean value μ 6.42812 and the variance δ can be calculated29.30032, λ 7.25789 and k 2.22798 are solved by equations (2) and (3), and the values of the parameters in the wind speed probability model are determined.
2) The power transmission channel selection can be seen in the following table:
TABLE 1 correlation parameters for different cumulative probabilities
| Cumulative probability | Coefficient of force output | Air abandon | Channel utilization | |
| 95％ | 0.77 | 23％*5％＝1.15％ | 1/(0.4*0.77/0.6+1)＝66.08％ | |
| 90％ | 0.67 | 33％*10％＝3.3％ | 1/(0.4*0.67/0.6+1)＝69.12％ | |
| 85％ | 0.6 | 40％*15％＝6％ | 1/(0.4*0.6/0.6+1)＝71.43％ | |
| 80％ | 0.55 | 45％*20％＝9％ | 1/(0.4*0.55/0.6+1)＝73.17％ |
Therefore, the utilization rate of the power transmission channel can be increased under the condition of properly increasing the wind abandoning rate.
In one embodiment, in order to obtain an optimal design scheme of the capacity of the power transmission channel, the utilization rates of the outgoing power transmission channels corresponding to different wind power output margins are calculated, then the weight of the wind curtailment rate and the utilization rate of the power transmission channel is comprehensively considered, and a proper design scheme is selected as the optimal design scheme after comparative analysis by combining the constraint condition that the sum of the wind power output margin and the thermal power minimum output is less than or equal to the capacity of the power transmission channel.
According to the wind-fire bundling power transmission channel capacity design method provided by the embodiment of the invention, the wind power output data is fitted by adopting the weibull distribution model, the calculation efficiency is improved, the wind-fire bundling ratio is combined to calculate the wind-fire installed capacity and the local delivery channel power transmission capacity, and the channel capacity utilization rate and the economy of a power transmission channel are improved under the condition of considering the high-ratio wind-fire ratio.
In a second aspect:
referring to fig. 6, the present invention further provides a device for designing the capacity of a wind-fire bundled power transmission channel, including:
the wind speed distribution model fitting unit 01 is used for acquiring wind power output data and fitting the wind power output data through a wind speed probability model to obtain a wind speed distribution model;
the wind power output margin calculation unit 02 is used for drawing a wind power output probability cumulative distribution map according to the wind speed distribution model and calculating a wind power output margin corresponding to a preset cumulative probability value;
the thermal power minimum output calculation unit 03 is used for calculating the wind-fire proportion of the measured area through a wind-fire bundling proportion formula and determining the thermal power minimum output;
and the power transmission channel capacity design unit 04 is configured to design the power transmission channel capacity by taking the sum of the wind power output margin and the thermal power minimum output margin as a constraint condition, where the sum is less than or equal to the power transmission channel capacity.
Further, the wind-fire bundling power transmission channel capacity design device further comprises an optimal power transmission channel capacity design unit, and the optimal power transmission channel capacity design unit is used for obtaining an optimal design scheme of the power transmission channel capacity according to the wind abandon rate, the weight of the power transmission channel utilization rate and the constraint conditions.
Further, the preset cumulative probability value includes: 95% cumulative probability, 90% cumulative probability, 85% cumulative probability, 80% cumulative probability.
Further, the wind speed probability model includes: rayleigh distribution models, weibull distribution models, and Lognormal distribution models.
According to the wind-fire bundling power transmission channel capacity design device provided by the embodiment of the invention, the wind power output data is fitted by adopting a weibull distribution model, the calculation efficiency is improved, the wind-fire bundling ratio is combined to calculate the wind-fire installed capacity and the local delivery channel power transmission capacity, and the channel capacity utilization rate and the economy of a power transmission channel are improved under the condition of considering the high-ratio wind-fire ratio.
In a third aspect:
an embodiment of the present invention further provides a terminal device, including:
one or more processors;
a memory coupled to the processor for storing one or more programs;
when executed by the one or more processors, cause the one or more processors to implement the wind fire bundling power transmission channel capacity designing method as described above.
The processor is used for controlling the overall operation of the terminal equipment so as to complete all or part of the steps of the wind fire bundling power transmission channel capacity design method. The memory is used to store various types of data to support operation at the terminal device, and these data may include, for example, instructions for any application or method operating on the terminal device, as well as application-related data. The Memory may be implemented by any type of volatile or non-volatile Memory device or combination thereof, such as Static Random Access Memory (SRAM), Electrically Erasable Programmable Read-Only Memory (EEPROM), Erasable Programmable Read-Only Memory (EPROM), Programmable Read-Only Memory (PROM), Read-Only Memory (ROM), magnetic Memory, flash Memory, magnetic disk, or optical disk.
The terminal Device may be implemented by one or more Application Specific 1 integrated circuits (AS 1C), a Digital Signal Processor (DSP), a Digital Signal Processing Device (DSPD), a Programmable Logic Device (PLD), a Field Programmable Gate Array (FPGA), a controller, a microcontroller, a microprocessor, or other electronic components, and is configured to perform the wind fire bundling power transmission channel capacity designing method according to any one of the embodiments described above, and achieve the technical effects consistent with the methods described above.
An embodiment of the invention also provides a computer readable storage medium comprising program instructions which, when executed by a processor, implement the steps of the wind fire bundling power transmission channel capacity design method as described in any one of the embodiments above. For example, the computer readable storage medium may be the above memory including program instructions executable by the processor of the terminal device to perform the wind fire bundling power transmission channel capacity designing method according to any one of the above embodiments, and achieve the technical effects consistent with the above method.
While the foregoing is directed to the preferred embodiment of the present invention, it will be understood by those skilled in the art that various changes and modifications may be made without departing from the spirit and scope of the invention.
Claims (10)
1. A wind-fire bundling power transmission channel capacity design method is characterized by comprising the following steps:
acquiring wind power output data, and fitting the wind power output data through a wind speed probability model to obtain a wind speed distribution model;
drawing a probability cumulative distribution map of wind power output according to the wind speed distribution model, and calculating a wind power output margin corresponding to a preset cumulative probability value;
calculating the wind-fire proportion of the tested area through a wind-fire bundling proportion formula, and determining the minimum thermal power output;
and designing the capacity of the power transmission channel by taking the sum of the wind power output margin and the thermal power minimum output less than or equal to the capacity of the power transmission channel as a constraint condition.
2. The wind fire bundling power transmission channel capacity design method according to claim 1, further comprising:
and obtaining an optimal design scheme of the capacity of the power transmission channel according to the wind curtailment rate, the weight of the utilization rate of the power transmission channel and the constraint condition.
3. The wind-fire bundling power transmission channel capacity design method according to claim 1, wherein the preset cumulative probability value comprises: 95% cumulative probability, 90% cumulative probability, 85% cumulative probability, 80% cumulative probability.
4. The wind-fire bundling power transmission channel capacity design method according to any one of claims 1-3, wherein the wind speed probability model is a weibull distribution model.
5. The utility model provides a wind fire bundling transmission channel capacity design device which characterized in that includes:
the wind speed distribution model fitting unit is used for acquiring wind power output data and fitting the wind power output data through a wind speed probability model to obtain a wind speed distribution model;
the wind power output margin calculation unit is used for drawing a probability accumulative distribution map of wind power output according to the wind speed distribution model and calculating a wind power output margin corresponding to a preset accumulative probability value;
the thermal power minimum output calculation unit is used for calculating the wind-fire proportion of the tested area through a wind-fire bundling proportion formula and determining the thermal power minimum output;
and the power transmission channel capacity design unit is used for designing the power transmission channel capacity by taking the sum of the wind power output margin and the thermal power minimum output less than or equal to the power transmission channel capacity as a constraint condition.
6. The wind fire bundling power transmission channel capacity design device according to claim 5, further comprising an optimal power transmission channel capacity design unit configured to:
and obtaining an optimal design scheme of the capacity of the power transmission channel according to the wind curtailment rate, the weight of the utilization rate of the power transmission channel and the constraint condition.
7. The wind-fire bundling power transmission channel capacity designing apparatus according to claim 5, wherein the preset cumulative probability value comprises: 95% cumulative probability, 90% cumulative probability, 85% cumulative probability, 80% cumulative probability.
8. The wind-fire bundling power transmission channel capacity designing apparatus according to any one of claims 5-7, wherein the wind speed probability model is a weibull distribution model.
9. A terminal device, comprising:
one or more processors;
a memory coupled to the processor for storing one or more programs;
when executed by the one or more processors, cause the one or more processors to implement the wind fire bundling power transmission channel capacity designing method of any one of claims 1 to 4.
10. A computer-readable storage medium having a computer program stored thereon, the computer program being executable by a processor to implement the wind fire bundling power transmission channel capacity designing method according to any one of claims 1 to 4.
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