Intelligent monitoring method, device and system for wind power plant cable upper tower joint

Abstract

The invention provides an intelligent monitoring method, device and system for a wind power plant cable upper tower joint. The method comprises the following steps: acquiring an estimated environment temperature value T0 near a tower joint on a target wind power plant cable, an estimated cable core temperature value T and a plurality of estimated temperature gradient values of the tower joint on the target wind power plant cable in the circumferential direction of the cable; calculating estimated temperature difference values delta T1, delta T2,..., delta Tn between each estimated temperature gradient value and the estimated environment temperature value T0; the estimated temperature difference values deltaT1, deltaT2,..., deltaTn are substituted into an algebraic expression with the estimated cable core temperature value T and the estimated environment temperature value T0 as target functions for fitting, and a mathematical relational expression among the temperature difference values, the cable core temperature value and the multiple temperature gradients is obtained; and acquiring an actual environment temperature value near the tower joint on the target wind power plant cable and a plurality of actual temperature gradient values of the tower joint on the target wind power plant cable in the circumferential direction of the cable, and substituting the actual environment temperature value and the actual temperature gradient values into the mathematical relation to obtain an actual cable core temperature value on the tower joint on the target wind power plant cable.

Description

Technical Field

[0001] The present disclosure relates to the technical field of monitoring of cable joints on towers in wind farms, and particularly relates to an intelligent monitoring method, device and system for cable joints on towers in wind farms. Background Art

[0002] As an important component for the normal operation of a wind farm, the cable joint on the tower plays a crucial role in the transmission of the power system of the wind farm, and it is also the part that is most prone to failures and malfunctions during the operation of the wind farm. Due to the characteristics of the cable itself, the cable joint needs to be installed on-site after laying. During the manufacturing process, it is affected by adverse factors in the on-site environment and manufacturing process limitations. In addition, during long-term operation, problems such as overheating and insulation aging may occur at the compression joints. Therefore, it is necessary to regularly maintain and detect the circuit joints. However, wind farms are generally located in remote areas with a wide distribution area, and it is time-consuming and laborious to maintain and detect on-site regularly.

[0003] Therefore, there is an urgent need to provide an intelligent monitoring method, device and system for cable joints on towers in wind farms. Summary of the Invention

[0004] The purpose of the present disclosure is to overcome the deficiencies of the prior art and provide an intelligent monitoring method, device and system for cable joints on towers in wind farms. This method can monitor the working conditions of the cable joints on the tower in real time, so as to timely detect abnormal situations in the power transmission of the wind farm, prevent failures and ensure normal power transmission.

[0005] According to the first aspect of the embodiments of the present disclosure, an intelligent monitoring method for cable joints on towers in wind farms is provided. The method includes:

[0006] Obtain an estimated ambient temperature value T0 near the cable joint on the tower of the target wind farm, an estimated core temperature value T of the cable joint on the tower of the target wind farm, and a plurality of estimated temperature gradient values in the circumferential direction of the cable of the cable joint on the tower of the target wind farm;

[0007] Calculate the estimated temperature differences ΔT1, ΔT2,..., ΔT between each of the estimated temperature gradient values and the estimated ambient temperature value T0; n ;

[0008] Substitute the estimated temperature differences ΔT1, ΔT2,..., ΔT n into an algebraic expression with the estimated core temperature value T and the estimated ambient temperature value T0 as the objective function for fitting to obtain a mathematical relationship between the temperature difference, the core temperature value and multiple temperature gradients;

[0009] Obtain the actual ambient temperature value near the cable joint on the tower of the target wind farm and a plurality of actual temperature gradient values in the circumferential direction of the cable of the cable joint on the tower of the target wind farm;

[0010] Substitute the actual ambient temperature value and the multiple actual temperature gradient values into the mathematical relationship to obtain the actual core temperature value of the cable on the tower joint of the target wind farm.

[0011] According to the second aspect of the embodiments of the present disclosure, there is provided an intelligent monitoring device for a cable on-tower joint of a wind farm, where the intelligent monitoring device includes a monitoring device, a temperature sensor, a partial discharge sensor, and an energy supply unit;

[0012] The monitoring device is arranged close to the cable joint, and both the temperature sensor and the partial discharge sensor are attached to the cable joint and are connected to the monitoring device through leads;

[0013] The energy supply unit is connected to the monitoring device and supplies power to the monitoring device, the temperature sensor, and the partial discharge sensor;

[0014] The intelligent monitoring device for the cable on-tower joint of the wind farm is used to implement the intelligent monitoring method for the cable on-tower joint of the wind farm described above.

[0015] In one embodiment, the temperature sensor is a patch-type platinum resistance temperature sensor, and the temperature measurement range of the patch-type platinum resistance temperature sensor is 0°C to 300°C;

[0016] The patch-type platinum resistance temperature sensor is used to collect temperature signals.

[0017] In one embodiment, the partial discharge sensor is an ultrasonic sensor, and the ultrasonic sensor is connected to the processing circuit of the monitoring device through a lead;

[0018] The ultrasonic sensor is used to continuously compare partial discharge pulse information to count the number of pulse discharges and the highest action level in each phase interval, analyze and extract the amplitude and phase characteristics of the pulse signal, and draw a discharge spectrogram according to the amplitude and phase characteristics.

[0019] In one embodiment, the ultrasonic sensor is specifically used for:

[0020] Record the number of comparison action signals at different reference levels in each phase interval under multiple power frequency cycles to form a discharge pulse action number record array with the reference level as the row vector and the phase interval as the column vector;

[0021] Extract the discharge phase, discharge amplitude, and discharge pulse number from the discharge pulse action number record array as characteristic parameters, and draw a partial discharge characteristic spectrogram.

[0022] In one embodiment, the processing circuit includes an operational amplifier circuit and a detection circuit.

[0023] In one embodiment, the power supply unit consists of an open current transformer and a battery. The open current transformer is clamped near the cable joint.

[0024] The open current transformer is used to store the electric energy obtained by mutual induction through the battery and access the monitoring device through a lead wire.

[0025] According to the third aspect of the embodiments of the present disclosure, a monitoring system for the cable tower connection of a wind farm is provided. The intelligent monitoring system includes a monitoring platform, at least one data receiving device, and at least one intelligent monitoring device. The intelligent monitoring device is the intelligent monitoring device for the cable tower connection of the wind farm described above.

[0026] The input end of the data receiving device is wirelessly connected to the intelligent monitoring device, and the output end of the data receiving device is connected to the monitoring platform.

[0027] In one embodiment, each intelligent monitoring device is integrated with a LoRa communication module, and a communication network between each intelligent monitoring device and the data receiving device is constructed through the LoRaWAN protocol and a star topology.

[0028] In one embodiment, the output end of the data receiving device is connected to the monitoring platform through a wired or wireless connection.

[0029] The intelligent monitoring system for the cable tower connection of a wind farm provided by the embodiments of the present disclosure collects key data near the cable tower connection of the target wind farm by installing an on-line monitoring device, and uploads the key data to the monitoring platform in real time, and applies various algorithms during the monitoring to make up for the scope and limitations of conventional measurement methods, so as to be able to timely detect abnormal situations in the power transmission of the wind farm, prevent faults, ensure normal power transmission, and further be able to observe the operating conditions of the cable joint in real time and intuitively, so as to provide accurate and effective reference information for the operation and maintenance of the cable joint. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] The accompanying drawings here are incorporated into the specification and form a part of this specification, showing embodiments consistent with the present disclosure, and are used together with the specification to explain the principles of the present disclosure.

[0031] Figure 1 It is a schematic diagram of an intelligent monitoring system for the cable tower connection of a wind farm provided by the embodiments of the present disclosure.

[0032] Figure 2 It is a flowchart of an intelligent monitoring method for the cable tower connection of a wind farm provided by the embodiments of the present disclosure.

[0033] Figure 3The temperature distribution gradient diagram in an intelligent monitoring method for the cable tower connection joints of a wind farm provided by an embodiment of the present disclosure;

[0034] Figure 4 The schematic diagram of an intelligent monitoring device for the cable tower connection joints of a wind farm provided by an embodiment of the present disclosure. Detailed implementation manners

[0035] Here, the exemplary embodiments will be described in detail, and the examples are shown in the drawings. When the following description refers to the drawings, unless otherwise indicated, the same numbers in different drawings represent the same or similar elements. The implementation manners described in the following exemplary embodiments do not represent all the implementation manners consistent with the present disclosure. On the contrary, they are merely examples of devices and methods consistent with some aspects of the present disclosure as detailed in the appended claims.

[0036] Figure 1 The schematic diagram of an intelligent monitoring system for the cable tower connection joints of a wind farm provided by an embodiment of the present disclosure. As Figure 1 shown, the intelligent monitoring system includes a monitoring platform 101, at least one data receiving device 102, and at least one intelligent monitoring device 103; the input end of the data receiving device 102 is wirelessly connected to the intelligent monitoring device 103, and the output end of the data receiving device 102 is connected to the monitoring platform 101; the intelligent monitoring device includes a monitoring device, a temperature sensor, a partial discharge sensor, and an energy supply unit.

[0037] In one embodiment, each of the intelligent monitoring devices is integrated with a LoRa communication module, and a communication network between each of the intelligent monitoring devices and the data receiving device is constructed through the LoRaWAN protocol and a star topology.

[0038] In this embodiment, each intelligent monitoring device is for wireless communication. Specifically, each intelligent monitoring device can select 4G or LoRa for communication.

[0039] It should be noted that in the embodiment of the present disclosure, one or more supporting wireless data receiving devices can be installed in the same wind farm to collect data according to geographical location, coverage range, etc.

[0040] In one embodiment, the output end of the data receiving device is connected to the monitoring platform by wire or wirelessly.

[0041] In this embodiment, the data receiving device transmits data to the monitoring platform through a wired or wireless communication network.

[0042] An intelligent monitoring system for the cable tower connection in a wind farm provided by an embodiment of the present disclosure collects key data near the cable tower connection of the target wind farm by installing an on-line monitoring device, and uploads the key data to the monitoring platform in real time, and applies various algorithms during monitoring to make up for the scope and limitations of conventional measurement methods, so as to be able to timely detect abnormal power transmission in the wind farm, prevent faults, ensure normal power transmission, and further be able to observe the operating conditions of the cable connection in real time and intuitively, so as to provide accurate and effective reference information for the operation and maintenance of the cable connection.

[0043] Figure 2 It is a flowchart of an intelligent monitoring method for the cable tower connection in a wind farm provided by an embodiment of the present disclosure. As Figure 2 shown, the method includes:

[0044] Step 201, obtain the estimated ambient temperature value T0 near the cable tower connection of the target wind farm, the estimated core temperature value T on the cable tower connection of the target wind farm, and multiple estimated temperature gradient values in the circumferential direction of the cable of the cable tower connection of the target wind farm;

[0045] Step 202, calculate the estimated temperature differences ΔT1, ΔT2,..., ΔT between each of the estimated temperature gradient values and the estimated ambient temperature value T0 n ;

[0046] In this step, after obtaining the estimated ambient temperature value T0 near the cable tower connection of the target wind farm, the estimated core temperature value T on the cable tower connection of the target wind farm, and multiple estimated temperature gradient values in the circumferential direction of the cable of the cable tower connection of the target wind farm, it is necessary to further calculate the estimated temperature differences ΔT1, ΔT2,..., ΔT between each estimated temperature gradient value and the estimated ambient temperature value T0 n , for subsequent steps to call.

[0047] Step 203, substitute the estimated temperature differences ΔT1, ΔT2,..., ΔT n into an algebraic expression with the estimated core temperature value T and the estimated ambient temperature value T0 as the objective function for fitting, to obtain a mathematical relationship between the temperature difference, the core temperature value, and multiple temperature gradients;

[0048] In this step, substitute the estimated temperature differences ΔT1, ΔT2,..., ΔT calculated in step 202 n into an algebraic expression with the estimated core temperature value T and the estimated ambient temperature value T0 as the objective function for fitting, to obtain a mathematical relationship between the temperature difference, the core temperature value, and multiple temperature gradients.

[0049] Step 204: Obtain the actual ambient temperature value near the cable upper tower joint of the target wind farm and multiple actual temperature gradient values of the cable upper tower joint of the target wind farm in the circumferential direction of the cable;

[0050] In this step, it is necessary to measure and obtain the actual ambient temperature value near the cable upper tower joint of the target wind farm and multiple actual temperature gradient values of the cable upper tower joint of the target wind farm in the circumferential direction of the cable through a temperature sensor.

[0051] Step 205: Substitute the actual ambient temperature value and the multiple actual temperature gradient values into the mathematical relationship formula to obtain the actual core temperature value on the cable upper tower joint of the target wind farm.

[0052] In this step, by substituting the actual ambient temperature value and multiple actual temperature gradient values into the mathematical relationship formula fitted in step 203, the actual core temperature value on the cable upper tower joint of the target wind farm can be calculated and obtained.

[0053] It should be noted that in the embodiments of the present disclosure, due to the adoption of a non-invasive cable joint core temperature measurement method, to obtain the core temperature information in a timely and accurate manner, when the cable core conducts heat, since the cable skin temperature is always lower than the internal conductor temperature, there will be a temperature difference in the circumferential direction of the cable core. Under the condition of not considering the medium heat loss, the heat of the cable core diffuses evenly around in a radial form from the core, thus generating a certain temperature gradient distribution, as Figure 3 shown.

[0054] In the embodiments of the present disclosure, the temperature distribution in the gradient direction can be obtained by means of calculation and experiment.

[0055] Figure 4 is a schematic diagram of an intelligent monitoring device for a cable upper tower joint in a wind farm provided by an embodiment of the present disclosure. As Figure 4 shown, the intelligent monitoring device includes a monitoring device, a temperature sensor, a partial discharge sensor, and an energy supply unit; the monitoring device is arranged close to the cable joint, the temperature sensor and the partial discharge sensor are both attached to the cable joint and are both connected to the monitoring device through leads; the energy supply unit is connected to the monitoring device and supplies power to the monitoring device, the temperature sensor, and the partial discharge sensor; the intelligent monitoring device for the cable upper tower joint in the wind farm is used to implement the intelligent monitoring method for the cable upper tower joint in the wind farm described above.

[0056] In this embodiment, the intelligent monitoring device is composed of the monitoring device itself, a temperature sensor, a partial discharge sensor, and an energy supply unit. The monitoring device is small in size and is fixed on a cable or a pole bracket near the joint through a snap structure. The temperature sensor and the partial discharge sensor are both attached to the cable joint and are connected to the monitoring device through leads. The energy supply unit is used to supply power to the device, and the monitoring device is for wireless communication, and can select 4G or LoRa mode.

[0057] In one embodiment, the temperature sensor is a patch-type platinum resistance temperature sensor, and the temperature measurement range of the patch-type platinum resistance temperature sensor is 0°C to 300°C; the patch-type platinum resistance temperature sensor is used to collect temperature signals.

[0058] In this embodiment, the used temperature sensor is a patch-type platinum resistance temperature sensor with a temperature measurement range of 0°C to 300°C. The patch-type platinum resistance temperature sensor is connected to the monitoring device through a lead to collect and analyze temperature signals.

[0059] In one embodiment, the partial discharge sensor is an ultrasonic sensor, and the ultrasonic sensor is connected to the processing circuit of the monitoring device through a lead; the ultrasonic sensor is used to continuously compare partial discharge pulse information to count the number of pulse discharges and the highest action level in each phase interval, and analyze and extract the amplitude and phase characteristics of the pulse signal, and draw a discharge spectrogram according to the amplitude and phase characteristics. Among them, the processing circuit includes an operational amplifier circuit and a detection circuit.

[0060] In this embodiment, a partial discharge monitoring and sensing technology using the ultrasonic detection principle is designed. The sensor coil is connected to the acquisition and processing circuit of the monitoring device through a lead to collect and analyze partial discharge signals. The ultrasonic sensor is used to convert the acoustic signal into an electrical signal according to the functional correspondence, and based on the periodicity and repeatability of the power frequency phase of the partial discharge signal, continuously compare the partial discharge pulse signals in turn by regularly adjusting the comparison level, and count the number of pulse discharges and the highest action level in each phase interval, analyze and extract the amplitude and phase characteristics of the pulse signal, and draw a discharge spectrogram according to the amplitude and phase characteristic parameters of the pulse signal.

[0061] In one embodiment, the ultrasonic sensor is specifically used for:

[0062] Recording the number of comparison action signals at different reference levels in each phase interval under multiple power frequency cycles to form a discharge pulse action number recording array with the reference level as the row vector and the phase interval as the column vector;

[0063] Extracting the discharge phase, discharge amplitude, and number of discharge pulses from the discharge pulse action number recording array as characteristic parameters, and drawing a partial discharge characteristic spectrogram.

[0064] In this embodiment, the ultrasonic sensor specifically records the number of comparison action signals at different reference levels in each phase interval under multiple power frequency cycles, forms a discharge pulse action number recording array with the reference level as the row vector and the phase interval as the column vector, and extracts characteristic parameters such as the discharge phase, discharge amplitude, and number of discharge pulses from the discharge pulse action number recording array, and draws a partial discharge characteristic spectrogram.

[0065] It can be understood that since the original waveform of the pulse signal collected by the ultrasonic sensor has attenuation oscillations, and there are interference signals in other frequency bands in the environment and power supply, the embodiments of the present disclosure also perform filtering processing in the hardware and software designs, and effectively extract the characteristic quantities.

[0066] In one embodiment, the power supply unit is composed of an open-type current transformer and a battery. The open-type current transformer is clamped near the cable joint; the open-type current transformer is used to store the mutually induced electric energy through the battery and access the monitoring device through a lead wire.

[0067] In this embodiment, the power supply unit is designed to be composed of an open-type current transformer and a battery pack, which can be directly clamped near the cable joint. The mutually induced electric energy is stored through the battery pack and accesses the monitoring device through a lead wire to realize the power supply of the entire set of monitoring devices.

[0068] Those of ordinary skill in the art can understand that all or part of the steps of implementing the above method embodiments can be completed by hardware related to program instructions. The foregoing program can be pre-stored in a computer-readable storage medium. When the program is executed, it executes the steps including the above method embodiments; and the foregoing storage medium includes: various media such as ROM, RAM, magnetic disk, or optical disk that can store program codes.

[0069] After considering the specification and practicing the disclosure herein, those skilled in the art will readily think of other embodiments of the present disclosure. The present disclosure is intended to cover any variations, uses, or adaptations of the present disclosure, which follow the general principles of the present disclosure and include common general knowledge or conventional technical means in the technical field not disclosed in the present disclosure. The specification and embodiments are only regarded as exemplary, and the true scope and spirit of the present disclosure are pointed out by the following claims.

[0070] It should be understood that the present disclosure is not limited to the exact structures described above and shown in the drawings, and various modifications and changes can be made without departing from its scope. The scope of the present disclosure is only limited by the appended claims.

Claims

1. An intelligent monitoring method for cable tower joints in a wind farm, characterized in that: The method comprises: Obtain an estimated ambient temperature value T0 near a tower joint of a target wind farm cable, an estimated cable core temperature value T on a tower joint of a target wind farm cable, and multiple estimated temperature gradient values ​​of a tower joint of a target wind farm cable in a circumferential direction of the cable; Calculate the estimated temperature difference ΔT1, ΔT2, ..., ΔT between each of the estimated temperature gradient values ​​and the estimated ambient temperature value T0 n ; The estimated temperature differences ΔT1, ΔT2, ..., ΔT n Substitute the estimated cable core temperature value T and the estimated ambient temperature value T0 into an algebraic formula with the objective function for fitting, and obtain a mathematical relationship between the temperature difference, the cable core temperature value and a plurality of temperature gradients; Acquire the actual ambient temperature value near the upper tower joint of the target wind farm cable and multiple actual temperature gradient values ​​of the upper tower joint of the target wind farm cable in the circumferential direction of the cable; The actual ambient temperature value and the multiple actual temperature gradient values ​​are substituted into the mathematical relationship to obtain the actual cable core temperature value on the upper tower joint of the target wind farm cable.

2. An intelligent monitoring device for cable tower joints in a wind farm, characterized in that: The intelligent monitoring device comprises a monitoring device, a temperature sensor, a partial discharge sensor and an energy supply unit; The monitoring device is arranged near the cable joint, and the temperature sensor and the partial discharge sensor are both attached to the cable joint and connected to the monitoring device through leads; The energy supply unit is connected to the monitoring device and supplies power to the monitoring device, the temperature sensor and the partial discharge sensor; The intelligent monitoring device for the wind farm cable tower joint is used to implement the intelligent monitoring method for the wind farm cable tower joint described in claim 1.

3. The intelligent monitoring device according to claim 2, characterized in that: The temperature sensor is a platinum resistance temperature sensor with a temperature measurement range of 0°C to 300°C. The chip-type platinum resistance temperature sensor is used to collect temperature signals.

4. The intelligent monitoring device according to claim 2, characterized in that: The partial discharge sensor is an ultrasonic sensor, and the ultrasonic sensor is connected to the processing circuit of the monitoring device through a lead wire; The ultrasonic sensor is used to continuously compare the partial discharge pulse information to count the number of pulse discharges and the highest action level in each phase interval, analyze and extract the amplitude and phase characteristics of the pulse signal, and draw a discharge spectrum based on the amplitude and phase characteristics.

5. The intelligent monitoring device according to claim 4, characterized in that: The ultrasonic sensor is specifically used for: Record the number of comparison action signals at different reference levels in each phase interval under multiple power frequency cycles to form a discharge pulse action number recording array with the reference level as the row vector and the phase interval as the column vector; The discharge phase, discharge amplitude and discharge pulse number are extracted from the discharge pulse action number record array as characteristic parameters, and a partial discharge characteristic spectrum is drawn.

6. The intelligent monitoring device according to claim 5, characterized in that: The processing circuit includes an operational amplifier circuit and a detection circuit.

7. The intelligent monitoring device according to claim 2, characterized in that: The energy supply unit is composed of an open-type current transformer and a battery, and the open-type current transformer is clamped near the cable connector; The open-type current transformer is used to store the electric energy obtained by mutual induction through the battery and connect it to the monitoring device through the lead wire.

8. An intelligent monitoring system for cable tower joints in a wind farm, characterized in that: The intelligent monitoring system comprises a monitoring platform, at least one data receiving device, and at least one intelligent monitoring device; the intelligent monitoring device is the intelligent monitoring device for the wind farm cable tower joint according to any one of claims 2 to 7; The input end of the data receiving device is connected to the intelligent monitoring device via wireless, and the output end of the data receiving device is connected to the monitoring platform.

9. The intelligent monitoring system according to claim 8, characterized in that: Each of the intelligent monitoring devices is integrated with a LoRa communication module, and a communication network between each of the intelligent monitoring devices and the data receiving device is constructed through the LoRaWAN protocol and a star topology.

10. The intelligent monitoring system according to claim 8, characterized in that: The output end of the data receiving device is connected to the monitoring platform via wired or wireless connection.

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