KR20140075099A - Error correction system of dynamic line rating and estimation of solar heat gain rate applying transmission line monitoring smart sensor - Google Patents

Error correction system of dynamic line rating and estimation of solar heat gain rate applying transmission line monitoring smart sensor Download PDF

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KR20140075099A
KR20140075099A KR1020120142938A KR20120142938A KR20140075099A KR 20140075099 A KR20140075099 A KR 20140075099A KR 1020120142938 A KR1020120142938 A KR 1020120142938A KR 20120142938 A KR20120142938 A KR 20120142938A KR 20140075099 A KR20140075099 A KR 20140075099A
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transmission line
smart sensor
transmission
monitoring
line monitoring
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KR1020120142938A
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Korean (ko)
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명희철
김정한
김병진
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현대중공업 주식회사
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    • G—PHYSICS
    • G08—SIGNALLING
    • G08C—TRANSMISSION SYSTEMS FOR MEASURED VALUES, CONTROL OR SIMILAR SIGNALS
    • G08C17/00—Arrangements for transmitting signals characterised by the use of a wireless electrical link
    • G08C17/02—Arrangements for transmitting signals characterised by the use of a wireless electrical link using a radio link
    • G—PHYSICS
    • G08—SIGNALLING
    • G08C—TRANSMISSION SYSTEMS FOR MEASURED VALUES, CONTROL OR SIMILAR SIGNALS
    • G08C19/00—Electric signal transmission systems
    • G—PHYSICS
    • G08—SIGNALLING
    • G08C—TRANSMISSION SYSTEMS FOR MEASURED VALUES, CONTROL OR SIMILAR SIGNALS
    • G08C25/00—Arrangements for preventing or correcting errors; Monitoring arrangements

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  • General Physics & Mathematics (AREA)
  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Photovoltaic Devices (AREA)

Abstract

The present invention relates to a system for estimating a solar heat gain and correcting a dynamic transmission capacity error using a smart sensor for monitoring a transmission line. The system is capable of: measuring, in real time, a transmission current, a transmission line temperature, an atmosphere temperature, a transmission line inclination, a wind direction, and a wind speed, etc. by a smart sensor for monitoring a transmission line formed on a transmission line; obtaining a solar heat gain value by applying the measured data in a thermal equilibrium equation; and accurately estimating, in real time, the solar heat gain and the dynamic transmission capacity by using the data measured by the smart sensor for monitoring a transmission line without measuring direct insolation. The system according to the present invention comprises: a smart sensor for monitoring a transmission line (200) which is formed on a transmission line (100) to measure, in real time, a state of the transmission line such as a transmission current, a transmission line temperature, an atmosphere temperature, a transmission line inclination, a wind direction, and a wind speed, etc. by a sensor mounted therein; a wire/wireless connection device (300) to connect data measured by the smart sensor for monitoring a transmission line (200); and a superordinate operation system (400) to receive the data connected to the wire/wireless connection device (300) through a wire/wireless communication, apply, in a thermal equilibrium equation, the data measured by the smart sensor for monitoring a transmission line (200), and estimate, in real time, a solar heat gain and a dynamic transmission capacity.

Description

[0001] The present invention relates to a system and method for estimating the solar gain using a smart sensor for transmission line monitoring and a dynamic transmission line capacity monitoring system,

More particularly, the present invention relates to a system and method for estimating a solar gain using a smart sensor for transmission line monitoring and a system for compensating dynamic transmission capacity error. More particularly, the present invention relates to a smart sensor for transmission line monitoring, It is possible to obtain the solar gain value by measuring the wind direction and wind speed in real time and substituting the measured data into the thermal equilibrium equation so that the solar gain and the dynamic transmission capacity can be calculated using the data measured by the smart sensor for transmission line monitoring without measuring the direct solar radiation amount The present invention relates to a system for estimating the solar gain using a smart sensor for monitoring a transmission line and a system for correcting a coin transmission capacity error.

Generally, a transmission line is a power facility for supplying power generated by a power plant to the respective regions through a substation to supply power as much as possible.

These transmission lines are supported by a transmission tower and are connected to insulators such as insulators.

In this case, the deflection and tilting of the transmission line, that is, the deformation of the transmission line leads to a ground fault, a wire accident, or a collapse of the transmission tower.

These accidents lead to a long-term interruption of power supply and have a significant social impact.

Therefore, in order to prevent such accidents, it is necessary to monitor and diagnose the transmission line around the transmission line as well as the abnormality of the transmission line.

An existing method for estimating the transmission capacity of a transmission line is a static line rating (SLR) method in which the transmission capacity is estimated assuming the worst weather conditions based on the average of the data recorded over one year of the weather conditions around the transmission line This is the mainstream.

However, the above-mentioned static transmission capacity (SLR) method results in calculating the transmission capacity excessively conservatively than the actual transmission available capacity, thereby restricting the efficient operation of the transmission line.

Recently, as new renewable energy such as photovoltaic power generation and wind power generation continues to increase, the transmission capacity of the transmission line is changed to the state of the climate so that the electricity generated from the renewable energy can be supplied to the grid by increasing the capacity of the existing transmission line Dynamic line rating (DLR) technology that reflects, calculates, and applies them is drawing attention.

The method for calculating the dynamic transmission capacity (DLR) of the transmission line described above is calculated by defining the thermal equilibrium equation acting on the transmission line as a physical equation.

The energy applied to the transmission line is heat energy generated by the transmission current and the resistance of the transmission line, heat loss by convection, radiant heat loss of the transmission line, and heat gain by the sunlight.

The method of obtaining the thermal gain by the double sunlight is mainly used in the method of using the radiation amount sensor and the method of using the annual average radiation amount data in the area where the transmission line is installed. However, It is difficult to accurately measure the heat gain due to the sunlight because the temperature gain includes the error at all times.

SUMMARY OF THE INVENTION The present invention has been made in order to solve the above-mentioned problems, and an object of the present invention is to provide a smart sensor for transmission line monitoring by attaching a smart sensor for direct transmission line monitoring to a transmission line, Can be estimated directly in real time and then applied to the thermal equilibrium equation to estimate the solar gain in real time, so that the solar gain and dynamic transmission capacity applied to the transmission line can be accurately estimated, maximizing the product performance.

Second, it measures the state of the transmission line in real time through a sensor installed inside the transmission current, transmission line temperature, atmospheric temperature, transmission line inclination, wind direction and wind speed necessary to calculate the dynamic transmission capacity of the transmission line and a camera for monitoring the transmission line periphery. It is possible to estimate the solar gain value using the data measured by the smart sensor for transmission line monitoring without directly measuring the solar gain, thereby maximizing the efficiency of the product.

Third, the estimated value of solar gain and dynamic transmission capacity measured by smart sensor for transmission line monitoring is connected by wired / wireless, and it is transmitted to operator by wireless communication so that operator can check the state of transmission line in real time, maximizing product efficiency and user convenience And to provide a system for estimating the solar gain using a smart sensor for transmission line monitoring and a dynamic transmission capacity error correction system.

In order to accomplish the above object, the present invention provides a method of estimating the transmission capacity of a transmission line by measuring a transmission line current, a transmission line temperature, an ambient temperature, a transmission line slope, a wind direction and a wind speed, And the solar thermal gain and the dynamic transmission capacity applied to the transmission line can be estimated in real time by substituting the measured data from the smart sensor for transmission line monitoring into the thermal equilibrium equation.

The data measured by the smart sensor for transmission line monitoring is transmitted to the wired / wireless access device, and the data transmitted to the wired / wireless access device is transmitted to the operating system of the operator so that the solar gain of the transmission line transmitted to the operating system, And a system for estimating the solar gain using the smart sensor for transmission line monitoring and a system for compensating the dynamic transmission capacity error so that the operator can confirm the capacity in real time.

As described above, according to the present invention, there is provided a smart sensor for monitoring a transmission line state in real time through a sensor installed with a transmission current, a transmission line temperature, an atmospheric temperature, a transmission line inclination, a wind direction and a wind speed necessary for calculating a dynamic transmission capacity of a transmission line. The wind speed, the wind speed, and the atmospheric temperature are directly measured, and then the measured data is substituted into the thermal equilibrium equation to estimate the solar gain. Thus, the data measured by the smart sensor for transmission line monitoring It is possible to estimate the solar gain value, thereby maximizing the accuracy of the measurement and the efficiency of the product.

BRIEF DESCRIPTION OF THE DRAWINGS FIG. 1 is a diagram illustrating a configuration of a transmission line monitoring system according to the present invention. FIG.
2 is a graph showing 24-hour data measured by a smart sensor for transmission line monitoring according to the present invention.
FIG. 3 is a graph comparing a current value and a current value calculated by substituting a current value measured by a smart sensor for transmission line monitoring according to the present invention into a thermal equilibrium equation.
FIG. 4 is a graph illustrating a maximum dynamic transmission capacity estimation using a smart sensor for transmission line monitoring according to the present invention. FIG.

Hereinafter, an embodiment of the present invention will be described in detail with reference to the accompanying drawings.

FIG. 2 is a graph showing 24-hour data measured by a smart sensor for monitoring a transmission line according to the present invention. FIG. 3 is a graph showing transmission line surveillance according to the present invention. FIG. 4 is a graph showing a comparison between a current value and a current value calculated by substituting a current value measured by a smart sensor for a transmission line in a thermal equilibrium equation. FIG. 4 is a graph showing a maximum dynamic transmission capacity This is an estimated graph.

As shown in FIG. 1, the present invention is a system for correcting the estimation of the solar gain of the transmission line 100 and the error of the dynamic transmission capacity. The system is directly attached to the transmission line 100, A wired / wireless connection device 300 for collecting data measured by the transmission line monitoring smart sensor 200, and a wired / wireless connection device 300 for wired / wirelessly connected to the wired / And a top operating system 400 for receiving the measured data from the smart sensor 200 for transmission line monitoring to estimate the solar thermal gain in real time and correcting the dynamic transmission capacity by substituting the measured data into the thermal equilibrium equation .

The smart sensor 200 for transmission line monitoring is directly attached to the transmission line 100 and includes a transmission current required to calculate the dynamic transmission capacity of the transmission line 100, a transmission line temperature, an ambient temperature, a transmission line slope, In real time.

In addition, the smart sensor 200 for transmission line surveillance is provided with a camera 210 for monitoring the periphery of the transmission line.

The camera 210 monitors the occurrence of a fire around the transmission line, the disturbance of the transmission line due to the barking of the shrub, the state of the bad condition of the environment, and the corrosion state of the insulator.

At this time, it is preferable that the camera 210 is formed in a number of four directions so as to accurately grasp the surrounding conditions of the transmission line 100.

The superordinate operating system 400 is transmitted through wired / wireless communication between the wired / wireless access point 300 and an OPGW (Optical Combination Geared Wire) or an optical Internet communication network.

The maximum permissible transmission capacity of the transmission line 100 is a transmission capacity capable of raising the temperature to within the maximum allowable temperature of the transmission line 100 and a column of the transmission line for estimating the solar gain applied to the transmission line and the coin transmission capacity The equilibrium equation is given by Equation (1).

Figure pat00001
... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... (One)

Here, I is the current in the conductor [A], T C is the conductor temperature [℃], R (T C ) is AC resistance of the temperature of the conductor, q c is the heat loss by radiation, and q s is caused by the sun Heat gain.

The resistance R (T c ) of the transmission line changes with the temperature change of the conductor and is expressed as the following equation (2).

Figure pat00002
... ... ... ... ... (2)

Where T high and T low are the maximum and minimum temperatures of the specified AC resistance.

In the above equation (1), the heat loss q r due to the radiation of the transmission line is expressed by equation (3).

Figure pat00003
... ... ... ... ... ... ... (3)

Here, ε is a dielectric constant of the conductor (0.23 to 0.91), D is the diameter of the conductor, a T means the atmospheric temperature.

Q r can be calculated if T c and T a are measured as in equation (3).

The heat gain q c due to convection is calculated differently according to the air flow as shown in the following equations (4) to (6).

When there is no wind:

Figure pat00004
... ... ... ... ... ... ... ... ... ... ... ... ... (4)

When the wind is low:

Figure pat00005
... ... ... (5)

When windy:

Figure pat00006
... ... ... ... ... ... ... ... ... (6)

Here, ρ f is the air density [kg / ㎥], V w the velocity [m / s], μ is the dynamic viscosity of air f [m / s], f k is (T c -T a) / 2 at a temperature And K angle is the wind direction coefficient.

In order to calculate the dynamic transmission capacity applied to the transmission line 100, q c , q r , and q s , which are the main parameters of the thermal equilibrium equation, must be calculated.

The present invention measures real-time data of temperature, current, wind direction and wind speed of a conductor using the smart sensor 200 for transmission line monitoring to calculate q c , q r , and q s as main parameters.

The above-mentioned q s can be obtained from the equation obtained by modifying the equation (1) as shown in the following equation (7).

Figure pat00007
... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... (7)

In addition, the same solar heat gain can be calculated directly by the following equation (8).

Figure pat00008
... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... (8)

Where α is the solar absorption rate in the range of 0.23 to 0.91, Q se is the solar radiation heat flux rate, θ is the incident angle of sunlight, A 'is a; It is the area of the area where sunlight is applied per unit length of the transmission line.

At this time, it is difficult to obtain an accurate value according to the present waiting state, as it is defined as a solar gain as shown in the above equation (8), and the approximate average value shown in the thermal equilibrium equation of the transmission line is substituted and used. There is an error because it does not accurately describe the situation.

Although q s has a small impact on dynamic transmission capacity, q s error can occur up to 30%.

Such an error can be effectively reduced by directly measuring the conductor temperature, current, wind direction, wind speed, and ambient temperature using the smart sensor 200 for monitoring the transmission line according to the present invention and estimating q s by substituting it into the thermal equilibrium equation of the transmission line do.

Further, in the case of measuring the air temperature and conductor temperature R (T c) and the value of q r can be obtained through the formula (2) and (3), heat gain due to solar q s is the formula (4) Can be obtained through equation (6).

In addition, an approximate value can be obtained by applying the wind direction and wind velocity data measured by the smart sensor 200 for transmission line monitoring to the equation (3).

In the meantime, in addition to the wind direction and wind speed data measured by the smart sensor 200 for transmission line monitoring, a standard weather sensor (not shown) is installed near the smart sensor 200 for transmission line monitoring to correct wind direction and wind speed data .

As described above, according to the present invention, the smart sensor 200 for transmission line monitoring and the weather sensor are installed in the transmission line 100 of the transmission line, and the data measured by the smart sensor 200 for transmission line monitoring and the data measured by the weather sensor are compared The result is shown in Fig.

2 shows the atmospheric temperature, the conductor temperature, the current and the wind speed data for 24 hours measured by the smart sensor 200 for transmission line monitoring, and the data measured by the smart sensor 200 for transmission line monitoring is shown in Equation 7 And calculates the transmission current of the transmission line 100 and compares the transmission current of the same time measured by the smart sensor 200 for transmission line monitoring.

FIG. 3 shows the results of comparing current values and current values calculated by substituting in the thermal equilibrium equation using the wind direction, wind speed, and conductor temperature measured by the smart sensor 200 for transmission line monitoring according to the present invention , And the data measured over 24 hours were compared with each other. As a result, it can be confirmed that the pattern matches more than 90%.

3, the transmission current data calculated by reflecting the data measured by the transmission line monitoring smart sensor 200 substantially coincide with the actually measured transmission current data, and the estimated solar gain q s is the actual value .

4 is a graph illustrating a maximum permissible transmission capacity of the transmission line 100 by using data such as transmission line temperature, atmospheric temperature, wind direction and wind speed measured by the smart sensor 200 for transmission line monitoring according to the present invention.

Therefore, in order to estimate the solar gain value, which is a main parameter applied to the thermal equilibrium equation of the transmission line, the conductor temperature, wind direction, wind speed and atmospheric temperature data measured by the smart sensor 200 for transmission line monitoring are substituted into the thermal equilibrium equation So that the solar gain value can be obtained.

In the present invention, smart sensor 200 for monitoring power transmission line and a weather sensor are installed in the field to collect data for 24 hours, and then the current values are compared with each other. .

Thus, since the smart sensor 200 for transmission line monitoring is used in the transmission line, it is possible to estimate the solar gain value using the data measured by the smart sensor 200 for transmission line monitoring without directly measuring the solar gain do.

It will be understood by those skilled in the art that various changes in form and details may be made therein without departing from the spirit and scope of the invention as defined in the appended claims and their equivalents. Of course, such modifications are within the scope of the claims.

100: Transmission line
200: Smart sensor for transmission line monitoring
210: camera
300: wired / wireless connection device
400: upper operating system

Claims (5)

1. A system for correcting an estimate of solar gain of a transmission line and an error of dynamic transmission capacity,
A smart sensor formed on the transmission line for monitoring a transmission line status in real time;
A wired / wireless connection device connected to the data measured by the transmission line monitoring smart sensor;
The system includes a top operation system for receiving the data connected to the wired / wireless connection device via wired / wireless communication and estimating the solar heat gain and the coin transmission capacity in real time by substituting the data measured by the smart sensor for transmission line monitoring into the thermal equilibrium equation A Solar Sensitivity Estimation and Dynamic Transmission Capacity Error Correction System Using a Smart Sensor for Transmission Line Monitoring. The method according to claim 1,
The smart sensor for the transmission line monitoring is directly attached to the transmission line and it is measured in real time through the sensors installed inside the transmission current, transmission line temperature, air temperature, transmission line inclination, wind direction and wind speed necessary for calculating the dynamic transmission capacity of the transmission line A Solar Sensitivity Estimation and Dynamic Transmission Capacity Error Correction System Using a Smart Sensor for Transmission Line Monitoring. 3. The method according to claim 1 or 2,
The smart sensor for transmission line surveillance is provided with at least one camera for monitoring the occurrence of fire around the transmission line, disturbance of the transmission line due to barking of the shrub, grasping the condition of the environment unconditionally, corrosion condition of the moat, Solar Gain Estimation and Dynamic Transmission Capacity Error Correction System Using Smart Sensor for Transmission Line Monitoring. The method according to claim 1,
In addition to the wind direction and wind speed data measured by the smart sensor for transmission line monitoring, a weather sensor is installed near the smart sensor for transmission line monitoring to compare the data measured by the smart sensor for transmission line monitoring with the data measured by the weather sensor, The solar power gain estimation system and the dynamic transmission capacity error correction system using the smart sensor for transmission line monitoring. The method according to claim 1,
Wherein the upper operating system is transmitted in a wired or wireless communication between a wired / wireless access device and an OPGW (Optical Combined Geotechnical Line) or an optical Internet communication network, and estimating the solar gain using the smart sensor for transmission line monitoring and correcting the coin transmission capacity error.
KR1020120142938A 2012-12-10 2012-12-10 Error correction system of dynamic line rating and estimation of solar heat gain rate applying transmission line monitoring smart sensor KR20140075099A (en)

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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109474068A (en) * 2018-08-16 2019-03-15 金华八达集团有限公司科技信息分公司 A kind of power circuit icing on-line monitoring ensuring equipment and application method
CN110501519A (en) * 2019-07-15 2019-11-26 武汉纳思系统技术有限公司 One kind is based on power transmission line wind calamity linkage perception monitoring system

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109474068A (en) * 2018-08-16 2019-03-15 金华八达集团有限公司科技信息分公司 A kind of power circuit icing on-line monitoring ensuring equipment and application method
CN110501519A (en) * 2019-07-15 2019-11-26 武汉纳思系统技术有限公司 One kind is based on power transmission line wind calamity linkage perception monitoring system

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