CN113887061B - Power transmission line dynamic capacity-increasing system considering multi-factor correction - Google Patents
Power transmission line dynamic capacity-increasing system considering multi-factor correction Download PDFInfo
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Abstract
The invention provides a power transmission line dynamic capacity-increasing system considering multi-factor correction, which comprises a data monitoring module: collecting natural environment influence parameter data and wire equipment material property parameter data; and a transmission module: receiving the data collected by the data monitoring module, performing analog-to-digital conversion on the data and transmitting the data to the database module; a database module: receiving data of the data monitoring module and the transmission module, and storing the data in a classified manner; dynamic current-carrying capacity evaluation module: calling data of a database module, calculating and correcting dynamic current-carrying capacity of the power transmission line, and adjusting static current-carrying capacity; and a display module: all data of the database module are received and displayed in real time, and the dynamic current-carrying capacity and the adjusted static current-carrying capacity calculated and corrected by the dynamic current-carrying capacity assessment module. Compared with the prior art, the device has powerful data acquisition and calculation functions, can accurately and efficiently calculate the dynamic current-carrying capacity of the power transmission line, and reasonably and safely formulate the capacity-increased static current-carrying capacity.
Description
Technical Field
The invention relates to the technical field of power transmission line data monitoring and dynamic capacity increasing, in particular to a power transmission line dynamic capacity increasing system considering multi-factor correction.
Background
With the development of the economy in China, the electricity load is gradually increased, and the demand for electric quantity is rapidly increased. However, due to the reasons of technology, equipment materials and the like, the power transmission capacity of a power grid in China is more limited, so that the problems of low power transmission line utilization rate and low power transmission current-carrying capacity are commonly existed. In order to prevent the overheat fault of the power transmission line during sudden load increase, rated capacity, namely a limit value of static heat capacity of the line, of the corresponding power transmission line is established in all countries around the world. However, operational experience has shown that such limit values are conservatively based on worst weather conditions, such as sunny high temperatures, windless conditions, etc. Compared with other countries, the boundary condition regulation of China is the most strict, and the regulations of China regulate: when the allowable current-carrying capacity of the wire is calculated, the allowable temperature of the wire of the steel-cored aluminum stranded wire and the wire of the steel-cored aluminum alloy stranded wire can be 70 ℃, the ambient air temperature is 40 ℃, the wind speed is 0.5m/s, and the sunlight intensity is 1000W/m 2. However, the probability of achieving the conditions simultaneously is only 0.02%, and the current-carrying capacity of the power transmission line still leaves a larger hidden capacity for regulation and control. Therefore, on the basis of the existing built power transmission line, the allowable transmission current capacity of the power transmission line is reasonably increased through a dynamic capacity-increasing technology, the utilization efficiency of power grid equipment is improved, the bottleneck phenomenon of power transmission is effectively solved, a newly built power transmission corridor can be reduced, and a large amount of land resources and raw materials are saved.
The difficulty of the dynamic capacity increasing research of the power transmission line is mainly focused on two aspects of the acquisition and transmission of the monitoring data of the power transmission line and the dynamic current-carrying capacity solving method. With the continuous development and updating of monitoring technologies and devices, the problems of monitoring, collecting and transmitting transmission line data are gradually solved. The existing dynamic capacity-increasing technology researches or only carries out the calculation of the current-carrying capacity from the heat balance of the power transmission line; or the current-carrying capacity is calculated and analyzed indirectly only from the material property (sag and tension) of the lead equipment, and the influence of environmental factors is ignored; the comprehensive consideration factors of partial researches are few, and the current-carrying capacity calculation is insufficient; part of researches show that the current-carrying capacity is low in improvement capacity (related to the accuracy of a calculation model, consideration factors and the like) when the static current-carrying capacity is regulated and formulated, or the operation safety of power transmission equipment is not considered, and the improved static current-carrying capacity can influence the service life of the equipment. In conclusion, the research of the existing dynamic capacity-increasing technology has few factors to be considered and has certain limitation; the model has lower calculation capability and the obtained dynamic current-carrying capacity has poorer precision; and the defects and problems of insufficient high efficiency, reliability and the like of the capacity-increased static current capacity are formulated without considering the operation safety of the power transmission equipment.
Disclosure of Invention
The invention aims to overcome the defects and provide a power transmission line dynamic capacity-increasing system taking into account multi-factor correction.
The aim of the invention can be achieved by the following technical scheme:
the invention relates to a power transmission line dynamic capacity-increasing system considering multi-factor correction, which comprises:
And the data monitoring module is used for: collecting natural environment influence parameter data and wire equipment material property parameter data;
And a transmission module: receiving the data collected by the data monitoring module, performing analog-to-digital conversion on the data and transmitting the data to the database module;
A database module: receiving data of the data monitoring module and the transmission module, and storing the data in a classified manner;
Dynamic current-carrying capacity evaluation module: calling data of a database module, calculating and correcting dynamic current-carrying capacity of the power transmission line, and adjusting static current-carrying capacity;
and a display module: all data of the database module are received and displayed in real time, and the dynamic current-carrying capacity and the adjusted static current-carrying capacity calculated and corrected by the dynamic current-carrying capacity assessment module.
Preferably, the data monitoring module comprises a monitoring prediction unit and a real-time acquisition and transmission unit, wherein the real-time acquisition and transmission unit acquires wire temperature, ambient temperature, sunlight intensity, wire tension, sag, wind speed and wind direction angle in real time and transmits the wire temperature, ambient temperature, sunlight intensity, wire tension, sag, wind speed and wind direction angle to the transmission module; the monitoring and predicting unit collects the wire temperature, the current static current-carrying capacity, the current required by a user, predicts the environment temperature, the wind speed and the precipitation, and transmits the predicted environment temperature, the wind speed and the precipitation to the database module.
Preferably, the real-time acquisition and transmission unit comprises a temperature sensor for measuring the temperature of the wire and the ambient temperature, a sunlight sensor for measuring the sunlight intensity, a tension sensor for measuring the wire tension, a sag measuring instrument for measuring sag, and a three-cup wind speed sensor for measuring wind speed and wind direction angle.
Preferably, the transmission module comprises an analog-to-digital conversion unit and a Beidou wireless transmission unit, wherein the analog-to-digital conversion unit receives the data acquired by the real-time acquisition transmission unit for analog-to-digital conversion, and transmits the data after analog-to-digital conversion to the database module through the Beidou wireless transmission unit.
Preferably, the monitoring and predicting unit comprises a SCADA system for monitoring the temperature of the collected wires, the current static current carrying capacity and the current required by the user and a numerical weather predictor for predicting the ambient temperature, the wind speed and the precipitation.
Preferably, the database module receives all data from the monitoring prediction unit and the transmission module and performs classified storage; the data stored in the classification includes: the real-time collection and transmission unit collects the numerical value set A c of each item of data in real time, the numerical value set B c of all the data in the monitoring and prediction unit, the union C c of the numerical value set A c and the numerical value set B c, and the union of the numerical value set A c and the numerical value set B c take the set D c of the conservation values.
Preferably, calculating and correcting the dynamic current-carrying capacity of the transmission line and adjusting the static current-carrying capacity, comprising the following steps:
S1: invoking a numerical value set D c, constructing a dynamic current-carrying capacity calculation model according to a heat balance principle, and solving an initial dynamic current-carrying capacity a;
S2: according to the value set C C, the value set D c and the initial dynamic current-carrying capacity a, a dynamic current-carrying capacity correction coefficient k and a corrected dynamic current-carrying capacity omega are obtained;
s3: and formulating an adjusted static current-carrying capacity mu according to the corrected dynamic current-carrying capacity omega, and inputting the calculated dynamic current-carrying capacity omega and the adjusted static current-carrying capacity mu into the display module M5.
Preferably, the step S2 includes the steps of:
S2.1: according to the numerical value set D c, adopting a coefficient of variation method to obtain the weight of the wire temperature, the ambient temperature, the sunlight intensity, the wind speed, the sag, the wire tension and the precipitation;
S2.2: according to the numerical value set C C, calculating the weight score maximum value, the weight score minimum value and the score sum in the wire temperature, the environment temperature, the sunlight intensity, the wind speed, the sag, the wire tension and the precipitation respectively;
S2.3: and calculating a dynamic current-carrying capacity correction coefficient k according to the maximum value, the minimum value and the sum of the scores of the weight scores, and obtaining the corrected dynamic current-carrying capacity omega.
Preferably, the calculation formula of the modified dynamic current-carrying capacity ω is:
ω＝ka
Wherein W max、Wmin and W are the maximum value, the minimum value and the sum of scores of the weights respectively, k is a dynamic current-carrying capacity correction coefficient, and a is an initial dynamic current-carrying capacity.
Preferably, the specific content of S3 is:
And (3) gradually increasing the static current-carrying capacity according to the dynamic current-carrying capacity omega obtained in the step (2) by taking the lower limit of omega as a reference, and when the time interval between the dynamic current-carrying capacity omega obtained in the step (2) and the static current-carrying capacity is equal to 1 hour, setting the static current-carrying capacity at the moment as the static current-carrying capacity mu which is allowed to be conveyed.
Compared with the prior art, the invention has the following advantages:
1. The invention collects environmental influence parameters in multiple aspects through the data monitoring module, wherein the environmental influence parameters comprise natural environment parameters and equipment material property parameters which influence heat generation and heat dissipation of the transmission conductor in the current research range. By carrying out thermal balance analysis and current-carrying capacity calculation on the parameters, the calculation accuracy of the dynamic current-carrying capacity of the power transmission line can be improved, and the capacity-increasing dynamic current-carrying capacity can be better improved on the premise of meeting the practical production and heat dissipation restrictions.
2. The dynamic current-carrying capacity evaluation module has powerful calculation function, can efficiently and accurately calculate and correct the dynamic current-carrying capacity of the power transmission line, and is more in line with the allowable lifting dynamic current-carrying capacity under the actual running condition of the power transmission line.
3. According to the invention, when the adjusted static current-carrying capacity is formulated, the operation safety of the power transmission equipment is considered, the static current-carrying capacity is improved as much as possible, the influence on the material performance of the power transmission equipment is considered, the lowest influence degree of the finally obtained power transmission equipment is ensured, and the capacity-increasing current-carrying capacity can be improved well.
Drawings
Fig. 1 is a schematic structural diagram of a power transmission line dynamic capacity-increasing system according to the present embodiment, in which multi-factor correction is considered;
FIG. 2 is a schematic diagram of the load flow rate change and the value condition in the present embodiment;
The figure indicates: m1, a data monitoring module, M2, a transmission module, M3, a database module, M4, a dynamic current-carrying capacity evaluation module, M5, a display module, 11, a real-time acquisition transmission unit, 12, a monitoring prediction unit, 21, an analog-to-digital conversion unit, 22 and a Beidou wireless transmission unit.
Detailed Description
The invention will now be described in detail with reference to the drawings and specific examples. The present embodiment is implemented on the premise of the technical scheme of the present invention, and a detailed implementation manner and a specific operation process are provided, but the protection scope of the present invention is not limited to the following embodiments.
Referring to fig. 1, the embodiment provides a power transmission line dynamic capacity-increasing system with multi-factor correction, which comprises a data monitoring module M1, a transmission module M2, a database module M3, a dynamic current-carrying capacity evaluation module M4, a display module M5, a real-time acquisition transmission unit 11, a monitoring prediction unit 12, an analog-to-digital conversion unit 21 and a Beidou wireless transmission unit 22.
The data monitoring module M1 is located at the power grid data server end, performs data acquisition, transmission and call once every 5 minutes, and comprises a real-time acquisition and transmission unit 11 and a monitoring and predicting unit 12. The real-time acquisition and transmission unit 11 comprises a temperature sensor, a solar radiation sensor, a tension sensor, a sag gauge and a three-cup type wind speed sensor, wherein the temperature sensor is used for measuring the temperature of a wire and the ambient temperature, the solar radiation sensor is used for measuring the solar radiation intensity, the tension sensor is used for measuring the tension of the wire, the sag gauge is used for measuring sag, and the three-cup type wind speed sensor is used for measuring the wind speed and the wind direction angle. The real-time acquisition and transmission unit 11 records the values of the wire temperature, the ambient temperature, the sunlight intensity, the wire tension, the sag, the wind speed and the wind direction angle acquired in real time as x 1、x2、x3、x4、x5、x6 and x 7 respectively, and transmits the values to the transmission module M2.
The monitoring and predicting unit 12 includes a SCADA system and a numerical weather predictor, where the SCADA system is used to collect the wire temperature, the current static current carrying capacity and the current required by the user, and the numerical weather predictor is used to predict the ambient temperature, the wind speed and the precipitation, and the values of the wire temperature, the ambient temperature, the current static current carrying capacity, the current required by the user, the wind speed and the precipitation are respectively recorded as y 1、y2、y3、y4、y5 and y 6 and transmitted to the database module M3.
The transmission module M2 is located at the power transmission line end, and includes an analog-to-digital conversion unit 21 and a beidou wireless transmission unit 22, where the analog-to-digital conversion unit 21 is configured to perform analog-to-digital conversion on data acquired from the real-time acquisition and transmission unit 11, and then the beidou wireless transmission unit 22 transmits the analog-to-digital converted data to the database module M3.
The database module M3 is located at the power grid data server end, receives the data transferred by the monitoring and predicting unit 12 and the beidou wireless transmission unit 22, and performs classified storage so as to facilitate the transfer of the data. The database module M3 uses an SQL database system, and a beidou data information receiving unit is set in the SQL database system and is used for receiving the data transmitted by the beidou wireless transmission unit 22.
The data stored after the classification of the database module M3 includes:
(1) The real-time collection and transmission unit 11 collects the numerical value set of each item of data in real time:
Ac＝[x1,x2,x3,x4,x5,x6,x7]c
where c is a multiple of 5, representing a set of data acquired every 5 minutes;
(2) Monitoring a set of values of data in a prediction unit 12
Bc＝[y1,y2,y3,y4,y5,y6]c
(3) Union of value set a c and value set B c:
CC＝[x1,x2,x3,x4,x5,x6,x7,y1,y2,y3,y4,y5,y6]c
(4) The union of the value set a c and the value set B c takes a conservative value,
Dc＝[bs{x1;y1},bs{x2;y2},x3,x4,x5,y3,y4,bs{x6;y5},x7,y6]c
Wherein bs { x 1;y1},bs{x2;y2},bs{x6;y5 } is the conservative value of two values of wire temperature x 1 and y 1, the conservative value of two values of ambient temperature x 2 and y 2, and the conservative value of two values of wind speed x 6 and y 5, respectively.
The conservation value bs is defined as: and taking the numerical value with the large numerical value in a group of numerical values of the positive correlation data and the numerical value with the small numerical value in the negative correlation data. The positive and negative correlation data respectively refer to data positively correlated and negatively correlated with the difficulty of lifting the current carrying capacity of the lead, and the positive correlation data has larger difficulty of lifting the current carrying capacity of the lead and the negative correlation data has smaller difficulty of lifting the current carrying capacity of the lead.
The positively correlated data physical names include: wire temperature, ambient temperature, solar intensity, sag, and wire tension; the negatively correlated data physical names include: wind speed, wind direction angle and precipitation.
The chip adopted by the dynamic current-carrying capacity assessment module M4 is STM32F103C8T6 and is positioned at the power grid data server end and used for calling the data of the database module M3 and calculating and correcting to obtain the dynamic current-carrying capacity omega of the power transmission line.
The dynamic current-carrying capacity omega of the power transmission line is calculated as follows:
s1: and calling data of the database module M3, constructing a dynamic current-carrying capacity calculation model according to a heat balance principle, and solving an initial dynamic current-carrying capacity a.
The heat balance principle of the power transmission line is as follows: the heat generating power and the heat dissipating power of the lead are kept balanced, namely the heat generating capacity of the power transmission line is smaller than or equal to the heat dissipating capacity allowed by the external natural environment, and the lead is ensured not to influence the material performance and the service life of the power transmission line equipment due to overhigh heat generating capacity.
S1.1: invoking a numerical group D c of the database module M3 to obtain the radiation heat dissipation power W R of the wire with unit length:
WR＝πDεσ[(Tc+273)4-(Ta+273)4]
Wherein D is the diameter of the wire; tc is the wire temperature, and the value is bs { x 1;y1 }; ta is the ambient temperature and has a value bs { x 2;y2 }; epsilon is the wire surface emissivity, sigma is the stefin-Bao Erci constant, sigma=5.67×10 -8;
as an alternative embodiment, epsilon=0.23;
S1.2: according to the sunlight intensity, the unit length sunlight absorption power W s is obtained:
Ws＝αDqs
Where α is the heat absorption coefficient of the surface of the wire, q s is the sunlight intensity, and the value is x 3.
As an alternative embodiment, α=0.5.
S1.3: and obtaining convection heat dissipation power W F.
WF＝Qc+Qcn
In the formula, Q c is forced convection heat dissipation, and Q cn is natural heat dissipation.
Qc＝πkf(Tc-Ta)[A+B(sinφ)n](vD/μf)
μf＝1.32×10-5+9.6×10-8(0.5Ta+0.5Tc)
kf＝2.42×10-2+7×10-5(0.5Ta+0.5Tc)
Wherein v is wind speed, and the value of v is bs { x 6;y5 }; phi is the wind direction angle, and the value is x 7; n, a and B are constants, when phi is more than or equal to 0 degree and less than or equal to 24 degrees, A=0.42, B=0.68, n=1.08, when phi is more than or equal to 24 degrees and less than or equal to 90 degrees, A=0.42, B=0.58, and n=0.9; mu f is the air dynamic viscosity and k f is the air conductivity; tc is the wire temperature, and the value is bs { x 1;y1 }; ta is the ambient temperature and has a value bs { x 2;y2 }; d is the diameter of the wire.
Qcn＝3.645ρf 0.5D0.75(Tc-Ta)
Where ρ f is the air density.
S1.4: solving the heating power W j of the resistance of the wire in unit length:
Wj＝I2R(Tc)
Wherein I is the current-carrying capacity, and R (Tc) is the alternating-current resistance.
R(Tc)＝(1+k)Rd
Wherein k is a skin effect coefficient, and when the wire cross section is less than or equal to 400mm 2, k=0.0025, and when the wire cross section is more than 400mm 2, k=0.01; r d is a direct current resistor.
Rd＝R20[1+α20(Tc-20)]
Wherein R 20 is the resistance value of the lead at 20 ℃; alpha 20 is the temperature coefficient of the wire material at 20 ℃.
S1.5: and establishing a heat balance equation, and solving the current-carrying capacity I.
Wj+Ws＝WR+WF
Wj＝WR+WF-Ws＝WR+Qc+Qcn-Ws
The current-carrying capacity I is calculated from the above equation.
The current-carrying capacity I is the initial dynamic current-carrying capacity a.
S2: and constructing a multi-factor correction model, and solving a dynamic current-carrying capacity correction coefficient k and a corrected dynamic current-carrying capacity omega.
S2.1: and (3) invoking a numerical group D c of the database module M3, and obtaining weights lambda i of the wire temperature, the ambient temperature, the sunlight intensity, the wind speed, the sag, the wire tension and the precipitation by using a coefficient of variation method, wherein i=1, 2,3,4,5,6 and 7.
Wherein η i is the standard deviation of the i-th physical quantity; is the average value of the i-th physical quantity.
S2.2: invoking a numerical group C C of a database module M3, forming a matrix X= [ X 1,X2,X3,X4,X5,X6,X7 ] by using the wire temperature, the ambient temperature, the sunlight intensity, the wind speed, the sag, the wire tension and the precipitation, constructing a corresponding weight matrix lambda= [ lambda 1,λ2,λ3,λ4,λ5,λ6,λ7 ], and calculating the weight score and the sum of scores of all physical quantities:
Wherein X i is the average value of the numerical values of the physical quantities. W max、Wmin is the maximum value and the minimum value of the weight score respectively; x max,i、Xmin,i is the maximum value and the minimum value of the numerical values of each physical quantity respectively, and the other numerical values are single values (maximum value=minimum value) except the maximum value and the minimum value of the temperature of the wire, the ambient temperature and the wind speed; the positive correlation data physical quantity X i is negative, the negative correlation data physical quantity X i is positive, and m=7;
S2.3: calculating a dynamic current-carrying capacity correction coefficient k, and acquiring corrected dynamic current-carrying capacity omega according to a multiplication correction form:
ω＝ka
S3: and formulating an adjusted static current-carrying capacity mu according to omega, and inputting the calculated dynamic current-carrying capacity omega and the adjusted static current-carrying capacity mu into the display module M5.
Referring to fig. 2, the dynamic current-carrying capacity ω obtained by correction calculation is defined with reference to the lower limit of ω: when the current static current-carrying capacity is lower than the lower limit value of omega, the power transmission wire normally operates at the moment; when the current static current carrying capacity is higher than the lower limit value of omega, the power transmission wire is heated up to run. In order to raise the static current-carrying capacity mu as much as possible and ensure the operation safety of the power transmission equipment, the static current-carrying capacity is raised gradually from the lower limit value of omega, and when the time interval between the dynamic current-carrying capacity omega obtained by correction calculation and the static current-carrying capacity is equal to 1 hour, the static current-carrying capacity at the moment is formulated as the static current-carrying capacity mu which is allowed to be conveyed.
Display module M5: the system is positioned at the power grid data service end and comprises a liquid crystal display screen. The display mode package comprises the numerical value of each data at the current moment and a numerical value line graph of each data in one hour.
The embodiments are described so as to facilitate a person of ordinary skill in the art to make and use the invention. It will be apparent to those skilled in the art that various modifications can be readily made to these embodiments and the generic principles described herein may be applied to other embodiments without the use of the inventive faculty. Therefore, the present invention is not limited to the above-described embodiments, and those skilled in the art, based on the present disclosure, should make improvements and modifications without departing from the scope of the present invention.
Claims (5)
1. A power transmission line dynamic capacity-increasing system taking into account multi-factor correction, comprising:
data monitoring module (M1): collecting natural environment influence parameter data and wire equipment material property parameter data;
Transmission module (M2): receiving the data acquired by the data monitoring module (M1), performing analog-to-digital conversion on the data, and transmitting the data to the database module (M3);
Database module (M3): receiving data of the data monitoring module (M1) and the transmission module (M2), and carrying out classified storage;
Dynamic current-carrying capacity evaluation module (M4): invoking data of a database module (M3), calculating and correcting dynamic current-carrying capacity of the power transmission line, and adjusting static current-carrying capacity;
Display module (M5): receiving and displaying all data of the database module (M3) in real time, and the dynamic current-carrying capacity calculated and corrected by the dynamic current-carrying capacity assessment module (M4) and the adjusted static current-carrying capacity;
The data monitoring module (M1) comprises a monitoring prediction unit (12) and a real-time acquisition and transmission unit (11), wherein the real-time acquisition and transmission unit (11) acquires wire temperature, ambient temperature, sunlight intensity, wire tension, sag, wind speed and wind direction angle in real time and transmits the wire temperature, ambient temperature, sunlight intensity, wire tension, sag, wind speed and wind direction angle to the transmission module (M2); the monitoring and predicting unit (12) collects the wire temperature, the current static current-carrying capacity, the current required by a user, predicts the environment temperature, the wind speed and the precipitation, and transmits the environment temperature, the wind speed and the precipitation to the database module (M3);
The real-time acquisition and transmission unit (11) comprises a temperature sensor for measuring the temperature of a wire and the ambient temperature, a sunlight sensor for measuring the sunlight intensity, a tension sensor for measuring the wire tension, a sag measuring instrument for measuring sag, and a three-cup wind speed sensor for measuring wind speed and wind direction angle;
The database module (M3) receives all data from the monitoring and predicting unit (12) and the transmission module (M2) and performs classified storage; the data stored in the classification includes: the real-time collection and transmission unit (11) collects a numerical value set A c of each item of data in real time, monitors a numerical value set B c of all the data in the prediction unit (12), a union C c of the numerical value set A c and the numerical value set B c and a union D c of the conservative value of the numerical value set A c and the numerical value set B c;
calculating and correcting the dynamic current-carrying capacity of the power transmission line and adjusting the static current-carrying capacity, and the method comprises the following steps:
S1: invoking a numerical value set D c, constructing a dynamic current-carrying capacity calculation model according to a heat balance principle, and solving an initial dynamic current-carrying capacity a;
S2: according to the value set C C, the value set D c and the initial dynamic current-carrying capacity a, a dynamic current-carrying capacity correction coefficient k and a corrected dynamic current-carrying capacity omega are obtained;
s3: formulating an adjusted static current-carrying capacity mu according to the corrected dynamic current-carrying capacity omega, and inputting the calculated dynamic current-carrying capacity omega and the adjusted static current-carrying capacity mu into a display module (M5);
The step S2 comprises the following steps:
S2.1: according to the numerical value set D c, adopting a coefficient of variation method to obtain the weight of the wire temperature, the ambient temperature, the sunlight intensity, the wind speed, the sag, the wire tension and the precipitation;
S2.2: according to the numerical value set C C, calculating the weight score maximum value, the weight score minimum value and the score sum in the wire temperature, the environment temperature, the sunlight intensity, the wind speed, the sag, the wire tension and the precipitation respectively;
S2.3: and calculating a dynamic current-carrying capacity correction coefficient k according to the maximum value, the minimum value and the sum of the scores of the weight scores, and obtaining the corrected dynamic current-carrying capacity omega.
2. The power transmission line dynamic capacity-increasing system with multi-factor correction according to claim 1, wherein the transmission module (M2) comprises an analog-to-digital conversion unit (21) and a beidou wireless transmission unit (22), the analog-to-digital conversion unit (21) receives the data collected by the real-time collection transmission unit (11) for analog-to-digital conversion, and the analog-to-digital converted data is transmitted to the database module (M3) through the beidou wireless transmission unit (22).
3. A transmission line dynamic capacity-increasing system taking account of multifactor correction according to claim 2, characterized in that said monitoring and predicting unit (12) comprises a SCADA system for monitoring the collected wire temperature, the present static current capacity and the current required by the user and a numerical weather predictor for predicting the ambient temperature, wind speed and precipitation.
4. The power transmission line dynamic capacity-increasing system according to claim 1, wherein the calculation formula of the modified dynamic current-carrying capacity ω is:
ω＝ka
Wherein W max、Wmin and W are the maximum value, the minimum value and the sum of scores of the weights respectively, k is a dynamic current-carrying capacity correction coefficient, and a is an initial dynamic current-carrying capacity.
5. The power transmission line dynamic capacity-increasing system considering multi-factor correction according to claim 1, wherein the specific content of S3 is:
And (3) gradually increasing the static current-carrying capacity according to the dynamic current-carrying capacity omega obtained in the step (2) by taking the lower limit of omega as a reference, and when the time interval between the dynamic current-carrying capacity omega obtained in the step (2) and the static current-carrying capacity is equal to 1 hour, setting the static current-carrying capacity at the moment as the static current-carrying capacity mu which is allowed to be conveyed.
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| CN104242452A (en) * | 2014-09-22 | 2014-12-24 | 广州供电局有限公司 | Dynamic capacity increasing monitoring system and method for power transmission line |
| CN105958474A (en) * | 2016-04-28 | 2016-09-21 | 中国电力科学研究院 | Power transmission line dynamic capacity increasing method and system used for power grid regulation and control system |
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| CN105958474A (en) * | 2016-04-28 | 2016-09-21 | 中国电力科学研究院 | Power transmission line dynamic capacity increasing method and system used for power grid regulation and control system |
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