The present disclosure relates to techniques for detecting anomalies in cable terminations such as an example, High Voltage and Medium Voltage terminations.
High Voltage (HV) terminations comprising an outer sheath (made in fiberglass or other insulating materials) are known. HV terminations are a critical part of electrical systems. Terminations may be affected by different issues, such as partial discharges on the stress cone or bad contact between different metal components, that may result in critical failure of the component, safety threats to people and objects and extended economic losses.
A typical asset monitoring strategy is the adoption of partial discharge monitoring for assessing the quality of the insulating parts. Another well-established method for characterizing the working condition of HV terminations is thermal imaging, for the detection of abnormal hot spots.
According to another approach, temperature monitoring of HV terminations is performed by using thermal cameras. These measurements are usually performed by operators on a spot basis.
The Applicant has noticed that the techniques of the prior art for detecting anomalies in cable terminations are not sufficiently reliable. For example, the Applicant recognizes that measurement results performed by means of infrared cameras may be affected by external phenomena, not related to the actual temperature distribution of the object under test.
The present specification includes a technique that can detect anomalies in cable terminations based on the measure and analysis of a distribution of temperature constructed from temperature measures acquired along the height of the cable termination.
According to a first aspect, the present disclosure relates to a cable termination anomaly detection method comprising:
In an embodiment, said time average is performed averaging over said measuring time interval the plurality of groups of temperature values obtaining a plurality of temperature average values; each temperature average value corresponding to a time average of temperatures measured in a measuring point; said axial temperature distribution is obtained implementing said least one construction method to the plurality of groups of temperature values obtaining a plurality of temperature average values. In another embodiment, the method comprises: constructing a plurality of further axial temperature distributions each associated to one group of the plurality of groups of temperature values by implementing said least one construction method; performing the time average, over said measuring time interval, of the plurality of further axial distributions obtaining said axial distribution.
In an embodiment, computing said least one index comprises: considering a portion of the axial temperature distribution assumed a in lower portion/upper portion of the termination in comparison with another portion of the axial temperature distribution assumed in a middle portion of the termination.
In an embodiment, constructing an axial temperature distribution is performed according at least one of the following construction methods: ordering temperatures according increasing height values, curve fitting, selecting temperatures; performing spatial average of temperatures
In an embodiment, computing at least one index comprises at least one of the following selections and computations: selecting from the axial temperature distribution a first average temperature and a second average temperature associated to a first height value and second height value defining the upper portion; selecting from the axial temperature distribution a third average temperature and a fourth average temperature associated to third height value and fourth height value defining the lower portion; the second height value and the third height value defining the middle portion; computing a first index as a first ratio between a difference between the first average temperature and the second average temperature and a difference between the second average temperature and the third average temperature; computing a second index as a second ratio between a difference between the fourth average temperature and the third average temperature and a difference between the second average temperature and the third average temperature; computing a third index as a third ratio between a difference between the second average temperature and the first average temperature and a difference between the second average temperature and the third average temperature; wherein: the first index is indicative of the bad bus-bar contact/hot spot top condition; the second index is indicative of a bad cable-to-termination interface/hot spot bottom condition; the third index is indicative of leakage of said cooling/insulating fluid under a liquid form.
In an embodiment, comparing said at least one index with a respective threshold value comprises: defining a first threshold value and detecting the bad bus-bar/hot spot top condition when said first index is greater than the first threshold; defining a second threshold value and detecting the bad cable-to-termination interface/hot spot bottom condition when said second index is greater than the second threshold; defining a third threshold value and detecting the leakage of cooling/insulating fluid condition when said third index is greater than the third threshold, detecting the normal condition when none of the above conditions is detected.
In an embodiment, placing at least a temperature sensor comprises: providing at least one of the following sensors: optical fiber sensor, Distributed Optical Sensing System, thermal imaging sensor, infrared sensor; passive infrared sensor.
In an embodiment: said cable termination comprises an outer sheath surrounding the insulating/cooling fluid; placing at least a temperature sensor near the cable termination comprises: providing a Distributed Temperature Sensing system including an optical waveguide of one of the following typologies: optical fiber; dielectric waveguide; and performing one of the following operations: embedding said at least temperature sensor in the outer sheath of the cable termination; wrapping the optical waveguide around an internal layer of the outer sheath; wrapping the optical waveguide on an external surface of the outer sheath; wrapping by printing/depositing said optical waveguide on the internal layer of the outer sheath.
In an embodiment, wrapping the optical waveguide includes: forming coils separated by an axial spacing; an axial resolution of the distributed temperature sensor including the optical waveguide being dependent on said axial spacing.
In one embodiment, the method further includes: wrapping the optical waveguide forming a plurality of group of coils having different heights and comprising a first group of coils including coils with a first coil density and a second group of coils with a second coil density, different from the first coil density.
In an embodiment, the method further includes: defining different angular sectors of the outer sheath, each sector extending along said longitudinal axis of the cable termination; and wherein wrapping the optical waveguide comprises forming a plurality of serpentines each in a separated angular sector; each serpentine of an angular sector being connected to another serpentine of another angular sector by an optical fiber segment.
According to a second aspect, the present disclosure relates to a cable termination anomaly detection system comprising:
According to a third aspect, the present disclosure relates to a cable termination monitoring system, comprising:
In an embodiment, the optical waveguide forms a plurality of group of coils having different heights and comprising a first group of coils with a first coil density and a second group of coils with a second coil density, different from the first coil density.
In an embodiment: the optical waveguide is placed so as to form a plurality of serpentines each serpentine lying in a separated angular sector of the outer sheath; each angular sector extending along said longitudinal axis of the cable termination.
In an embodiment, the cable termination monitoring system further includes: a processor connected to said at least one temperature sensor so as to acquire at different measuring times a plurality of groups of temperature values, where each group represents temperatures assumed by the plurality of cable termination points in a corresponding measuring time.
In an embodiment, the cable termination monitoring system further includes: at least one of the following further sensors configured to provide measured data to said processor: wind sensor; solar sensor.
In an embodiment, said cooling/insulating fluid is one of the following fluids: gaseous fluid, or liquid fluid.
Further characteristics and features will be more apparent from the following description of the various embodiments given as a way of an example with reference to the enclosed drawings in which:
For example, cable termination 1 can be a High Voltage (HV) termination or Medium Voltage (MV) termination. The following description refers to HV termination as an example, but it is also appliable to other terminations operating in corresponding voltage higher than 5 KV.
The HV termination 1 comprises a base 4, e.g., including metallic parts, an outer sheath 5, e.g., made of dielectric material, such as fiberglass or other insulating materials, extending according to a longitudinal axis A1 and defining an inner region 6. The inner region 6 includes a cooling/insulating fluid 7 and a HV connection cable 8.
The HV termination 1 further comprises a top part 9, e.g., including further metallic parts. The HV connection cable 8 extends into the inner region 6 along the longitudinal axis A1 and is configured to connect a portion of an external cable 10, e.g., at the base 4, with a solid top connector 11, mounted at the top part 9. According to an example, a stress cone 17 is mounted on the HV connection cable 8.
The HV termination 1 can be of the type having a gaseous cooling/insulating fluid 7 (such as SF6) or a liquid cooling/insulating fluid 7 (such as oil).
Considering the case in which the HV termination 1 is a liquid insulated termination, the monitoring system 100 is configured to detect one or more of the following anomaly conditions: bad bus-bar contact (resulting in abnormal hotspot at the top and possible damage for the electrical system to which the termination is connected); bad cable-to-termination interface (also resulting in hotspot at the bottom and likely damage for the electrical system); leakage of the cooling/insulating fluid.
Considering the case in which the HV termination 1 is a gas insulated termination, the monitoring system 100 is configured to detect a bad bus-bar contact condition through the detection of a hotspot at the top and/or bad cable-to-termination interface condition through the detection of a hotspot at the bottom.
As known to the skilled person, the bad bus-bar contact condition refers to the situation in which the conductor of the connection cable 8 does not contact suitably the solid top connector 11 and therefore it is an anomaly that can occur in the top part 9 of the HV termination.
The bad cable-to-termination interface condition can occur typically in plug-in type terminations such as the one shown in
It is observed that both in case of HV termination 1 insulated with liquid and gas, the temperature increases with the height evaluated along the longitudinal axis A1 from the base 4 towards the top part 9.
If the cooling/insulating fluid 7 is a liquid, the heat generated into the connection cable 8 is removed and transferred outside by means of natural or forced convection. This leads the fluid near the connection cable 8 to move towards the top of the of the HV termination 1. For the same reason, the part of the fluid near the outer sheath 5 of the termination moves downwards. This convective motion leads the axial temperature profile to increase monotonically with the height.
Regarding a cooling/insulating fluid 7 made by gas, the mass density of the cooling/insulating gas 7 decreases with the temperature, therefore, when heat is generated within the connection cable 8 by the flowing current load, the gas stratifies and the axial temperature profile is monotonically increasing with the height.
The temperature sensor device 2 is placed near the HV termination 1 so as to measure temperatures of a plurality of HV termination points S1-SM including points distributed at different heights, where the height is valuated in direction z parallel to the longitudinal axis A1. In some embodiments, temperature sensor device 2 is placed so as to measure temperature values of points corresponding to different sides around the HV termination 1.
The temperature sensor device 2 can be one or more of the following devices: a Distributed Temperature Sensing system (DTS) including an optical waveguide; thermal imaging sensor, infrared sensors providing thermal mapping by means, such as PIR (Passive Infrared) sensors.
For example, as shown in the example in
It is noticed that the temperature sensor device 2 can be also placed externally to the outer sheath 5. As an example, the optical fiber 12 is wound over the outer sheath 5 and the thermal imaging sensor or the infrared sensors are arranged outside the outer sheath 5.
The temperature sensor device 2 has a measurement spatial resolution RF that is chosen to be compatible with the magnitude of the anomaly/phenomenon that should be detected. For example, to detect an oil level decrease of ΔLoil, a spatial resolution of approximately 20% of ΔLoil should be guaranteed.
As it will be better clarified later, the wrapped optical fiber 12 has an axial resolution Rz that is dependent on said axial spacing Δz of the optical fiber coils 14.
The sensor 2 may include an acquisition circuit (not shown) for signal conditioning and conversion into digital data or such functions are at least partially performed by the processor 3.
According to an embodiment, the system 100 can also comprise a wind sensor 15 (WS) and/or a solar sensor 16 (SS), both configured to provide measured data to the processor 3. The wind sensor 15 is configured to provide data representing velocity of the wind investing the HV termination 1 and the solar sensor 16 is configured to provide data representing solar irradiation on the HV termination 1. In order to properly consider these effects, data covering at least the periods of solar irradiation or wind action should be stored. For example, the data acquired for a time period between 24 hours and 30 days should be stored.
The processor 3 (such as an example, a microprocessor, an ASIC-Application Specific Integrated Circuit—or a computer) can be placed in the area of the HV termination 1 or can be remote from it and is connected (with wires or in a wireless modality) to the sensor 2.
In accordance with an embodiment, the processor 3 is configured to perform both the acquisition functions (e.g. conditioning and A/D conversion of signals provided by the sensor 2) and data analysis with anomaly detection. According to another example, the data acquisition functions are performed by an electronic circuit placed in the area of the HV termination 1 while the analysis with the anomaly detection is performed by another processor device. Said processor device may be remotely placed with respect to the HV termination 1.
The acquisition functions are performed according to a preestablished time polling rate tsr so as the temperatures measuring times are separated by a “time distance” that, as an example, is lower than 0.25 h and extending over a measuring time interval greater than 24 h. In some embodiments, the time distance is lower than 10 minutes and the measuring time interval is comprised between 7 days and 30 days.
For example, the sensor 2 and the acquisition circuit are so that a deviation between the actual temperature and the measured temperature at a certain measured point is lower than a preestablished maximum allowed measurement error ΔTm.
In an embodiment, the processor 3 includes at least one memory (not shown) configured to store the acquired data and a software application configured to perform digital processing of the acquired data to implement the anomaly detection.
An anomaly detection method 200, implementable by the monitoring system 100, is described in the following with reference to
Before proceeding with the description of the method, it is necessary to make some preliminary remarks.
The employed sensor 2, as arranged near the HV termination 1, defines a plurality of measuring points S1-SE (
Moreover, according to an embodiment, the HV terminal 1 is functionally subdivided in different portions by defining a plurality of points of interest at different height values along the z axis (
The first point PH corresponds to a first height value z=H, where H is the total height of the outer sheath 5. The second point PT corresponds to a second height value z=ZT selected under the height value H. An upper portion UP of the HV termination 1 can be defined between the first height value z=H and the second height value z=ZT.
The third point PB corresponds to a third height value z=ZB, lower than height value z=ZT. The fourth point P0 is placed at a fourth height value z=0, lower than z=ZT and corresponding to the base 4. A lower portion LP of the HV termination 1 can be defined between the third height value z=ZB and the fourth height value z=0. Moreover, a middle portion MP of the HV termination 1 is defined between the second height value z=ZT and the third height value z=ZB.
It is noticed that the points PH, PT, PB and P0 above defined can be independently chosen from the measuring points S1-SE and so points PH, PT, PB and P0 may or not coincide with some of the measuring points S1-SE for which the sensor 2 provides measured temperature values.
It is observed that the temperature of the lower portion LP is influenced by possible bad connection or, more generally, hot spots (e.g., particularly high temperature region) in said lower portion LP. Therefore, the choice of the third height value ZB depends on the specific HV termination 1 and it is limited to the area where the thermal influence of the metallic part near the base 4 is expected.
Moreover, it is expected that the temperature distribution in the middle portion MP cannot be used to detect hot spots in the metallic parts near the base 4 and at the top part 9 of the HV termination 1. For this reason, the choice of the second height value z=ZT depends on the specific design of the HV termination. It is observed that the middle portion MP shows a temperature behaviour relatively not influenced by the anomaly situations above listed.
Considering the case in which the HV termination 1 has a liquid cooling/insulating fluid 7, the following conditions can occur during the operation of the HV termination 1.
Normal conditions. Under load, a convective motion establishes inside the HV termination 1. Therefore, the distribution of the temperature in direction of the longitudinal axis A1 will be increasing with the height, except in the lower portion LP where the vicinity with metallic parts (base 4) can locally increase the temperature. The slope of the temperature distribution over the height will be quite constant and positive till reaching the level of the metallic parts of the top part 9, where the slope has a sudden further increase.
Hot spot top condition. Compared to the temperature distribution in normal conditions, the presence of a hot spot at the upper portion UP of the HV termination 1 leads to a drastic increase of the slope in proximity of the top part 9. Thus, compared to the normal conditions, the ratio between the temperature increase at the top part 9 and the temperature increase over the middle portion MV of the termination will be greater. It is observed that the hot spot top condition is also indicative of a bad bus-bar contact condition.
Hot spot bottom condition. Compared to the temperature distribution in normal conditions, the presence of a hot spot at the lower portion LP of the HV termination 1 (as the one of
Leakage of the cooling/insulating liquid 7. The leakage of the cooling/insulating liquid 7 leads the liquid level to decrease and the air to fill the void left by the lack of liquid. Compared to the temperature distribution in normal conditions, the presence of air at the upper portion UP leads to a temperature decrease in this area and therefore to a negative slope in proximity of the top part 9.
Considering now the case in which the HV termination 1 has a gas cooling/insulating fluid 7, in a normal condition, under load, the convection is typically lower than in the case of HV termination 1 insulated with liquid. Moreover, the thermal conductivity of the most common gases used for this application is lower than that of the liquids. It follows that the temperature stratification in case of gas insulated termination will prevail on the thermal convection. Therefore, under normal condition, the temperature slope over the height of the HV termination will be roughly positive.
The hot spot top condition and the hot spot bottom condition for a HV termination 1 having gas cooling/insulating fluid 7 are analogous to that above described with reference to a liquid gas cooling/insulating fluid 7.
Referring to
As above described, the measuring times are spaced by a time distance TPR (time polling rate) and the measures of the groups of temperature values TGt1-TGtM are performed over a preestablished measuring time interval MTI. As already described, the time distance TPR can be lower than 0.25 h and extending over a measuring time interval MTI greater than 24 h.
The plurality of groups of temperature values TGt1-TGtM are acquired by the processor 3 that performs the following digital processing steps.
According to an example, in an average computing step 202, an average of temperature values of the plurality of groups TGt1-TGtM over said measuring time interval MTI is performed, so providing a plurality of temperature average values TAVS1-TAVSE, wherein each value corresponds to a time average of the temperatures measured in a measuring point of the group S1-SE. As an example, the average temperature value TAVSi is the time average of the temperature values measured in the measuring point Si.
According to the described example, the plurality of temperature average values TAVS1-TAVSE includes a number of values equal to the number of measuring points S1-SE and therefore for each height value zx it is possible that two or more temperature average values TAVi, TAVj are present.
In a distribution construction step 203, the processor 3 constructs from the plurality of temperature average values TAVS1-TAVSE an axial temperature distribution ATD(zn), where zn is the height evaluated along the longitudinal axis A1 and expressed in a discrete form.
The axial temperature distribution ATD(zn) expresses average temperature values versus height values zn according to a one-to-one correspondence, so as to provide a single temperature value for each value zn.
The axial temperature distribution ATD(zn) is a discrete function of the height z1 for which any assumed value has been obtained (e.g. estimated) starting from the temperature average values TAVS1-TAVSE and, as an example, according to at least one of the following construction methods: ordering and/or selecting the temperature values according to increasing height values, curve fitting, spatial average (wherein the estimated temperature value at a height zx is a further average of a group of the values measured around the height zx).
It is observed that the number of temperature values expressed by the axial temperature distribution ATD(zn) can be greater or smaller than the number of values included in the group TAVS1-TAVSE and the heights z1 can be not coincident or not coincident with the heights of the measuring points S1-SE.
According to an embodiment, the average computing as described with reference to step 202 can be performed after having implemented the distribution construction step 203. In this case, each group of temperature values TGt1-TGtM is converted in a respective axial temperature distribution ATD(zn)t1-ATD(zn)tM (as above described) and subsequently a time average is performed on the distributions ATD(z)t1-ATD(z)tM to obtain the axial temperature distribution ATD(zn).
Such axial temperature distribution ATD(zn) is constructed so as to provide a form useful for the subsequent analysis.
It is noticed that, according to an example embodiment, the axial temperature distribution ATD(z) is constructed so as to provide values at the heights corresponding to the above mentioned points of interest: first point PH at z=H, second point PT at z=ZT, third point PB at z=ZB and the fourth point P0 at z=0.
It is noticed that the average computation over the measuring time interval MTI has a filtering effect, useful to smooth transitory and inertia behaviours of the cooling/insulating fluid 7, and allows reducing the effect of the wind or of the solar irradiation on the HV termination 1. Indeed, it is noticed that time constants associated to the anomalies evolution are driven from the thermal inertia of the components of HV termination and thus a time average, for example, a long term time average, of the measured temperature enables to reduce the effects of fast phenomena depending on external factors (i.e. solar irradiation flick caused by clouds movement). In an analysing step 204, the processor 3 analyses the axial temperature distribution ATD(zn) by computing at least one index IDX.
The index IDX can be computed considering portions of the axial temperature distribution ATD(zn) comprised between different height ranges. As an example, derivatives (i.e. the slopes of the trends) of different distribution portions can be considered. According to an embodiment, the index IDX is computed on the basis of the distribution portion assumed by the axial temperature distribution ATD(zn) in the lower portion LP or in the upper portion UP in comparison with the distribution portion assumed in middle portion MP. In this case, the index IDX is given by a ratio between temperature increase shown in the lower portion LP or in the upper portion UP and the temperature increase shown in middle portion MP.
In a comparing step 205, the index IDX is compared with a threshold value TRH and based on said comparison a normal condition NML-C or an anomaly ANML-C condition is detected. For example, at least one of the following anomaly conditions can be detected: normal condition, bad bus-bar contact/hot spot top condition, bad cable-to-termination interface/hot spot bottom condition, leakage of cooling/insulating fluid condition.
It noticed that as a consequence of the specific considered temperature values at different height values, it is possible to differentiate a particular anomaly among the plurality of anomalies that potentially affect the HV terminal 1.
It is noticed that both the normal condition and the anomaly conditions can be affected by the day/night cycle under the effect of wind or solar irradiation. For example, the axial temperature distribution ATD(zn) when the coldest temperature peak is reached should be considered for the analysis of possible warnings or faults in the anomaly detection. Moreover, the results of the analysis could be cross checked with measurements of the solar irradiation. The effect of the wind can be taken into account by neglecting the assessments when the wind velocity is greater than a predetermined threshold. Under the effect of great wind velocity, the temperature at the outer sheath 5 of the termination will tend to the environmental value.
Examples of calculation of the index IDX are described below. For example, depending on the anomaly to be detected different indexes are computed and different threshold are employed.
The hot spot top condition including also the bad bus-bar contact condition can be detected by considering the increase in the ratio between the temperature increase in the upper UP and the temperature increase over the middle portion MP. More specifically, a hot spot top condition is identified when the following first inequality is satisfied:
Where:
Where TR1 is a first predetermined threshold chosen to identify hot spot condition at the top of the HV termination 1.
The hot spot bottom condition can be detected by considering the increase in the ratio between the temperature increase in the lower portion LP and the temperature increase over the middle portion MP. More specifically, a hot spot bottom condition is identified when the following second inequality is satisfied:
Where, TB and TT have been already defined and T0 is the temperature value assumed by the axial temperature distribution ATD(z) at the fourth height value z=0. TR2 is a second predetermined threshold chosen to identify hot spot condition at the bottom of the HV termination 1.
The above indicated first and second inequalities are valid for a HV termination 1 including a liquid cooling/insulting fluid 7 or a gas cooling/insulting fluid 7. The actual values of the heights Z=H, ZT, ZB, z=0 and the of the thresholds TR1, TR2 depends on the specific termination and are normally different for liquid or gaseous cooling/insulting fluid 7.
As already described,
With reference to the detection of the leakage of the cooling/insulating liquid 7, this anomaly is detected by considering the decrease in the ratio between the temperature increase in the upper portion UP and the temperature increase over the middle part MP. More specifically, a liquid leakage, is identified when the following third inequality is satisfied:
Where, TR3 is a third predetermined threshold to identify the alarm referring to a liquid leakage in the HV termination 1.
In the cases in which none of the inequalities (1), (2) and (3) is satisfied, a normal condition is detected.
The following description refers to embodiments of the HV termination 1 in the case in that the sensor 2 is a Distributed Temperature Sensing system employing an optical wave guide, such as the optical fiber 12 or dielectric waveguides (e.g. made of plastic or glass). It is noticed that the embodiments described below can be used independently on some or all of the above described steps of the method 200 or can be employed to implement said method 200.
As already described with reference to the embodiments of
The spatial resolution of the sensor 2 comprising the optical fiber 12 is typically between 5 mm and 2 m. The optical fiber 12 typically lies inside a plastic or metal tube (not shown) for its protection and it is characterized by a good flexibility.
The sensor 2 further includes an electromagnetic source, such as a LED, to transmit radiation into the optical fiber 12 and an electronic circuit configured to convert a received radiation into data representative of temperature values along the optical fiber 12. The optical fiber 12 has an input IN and an output OU.
In accordance with different ways of wrapping the fiber optic 12, the following embodiments can be identified: basic configuration, sectorial configuration and variable-density configuration. For all the configurations a single optical fiber 12 can be used, according to an example.
In the basic configuration (
Where D is the local diameter of the HV termination 1, Δz is the already defined axial spacing between two consecutive coils 14, and RF is the spatial resolution of the optical fiber 12.
In accordance with the sectorial configuration (
The variable-density configuration (
This variable-density configuration improves the spatial resolution in proximity of the more critical areas due to the fact that coil density of the optical fiber 12 can vary over the height of the HV termination 1. In example, the sectorial configuration can be integrated with an increase of the coil density near the base 4 (group G1) and the near the top part 9 (group G3).
In the case in which instead of the optical fiber 12 a dielectric waveguide is employed, the wrapping above described is implemented by printing or depositing on the internal layer 13 (or another intermediate layer) of the outer sheath 5 the dielectric waveguide. This solution is particularly advantageous when little curvatures should be obtained to ensure a high axial resolution. This solution is especially useful for the sectorial configuration and the variable density configuration.
Number | Date | Country | Kind |
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102023000018108 | Sep 2023 | IT | national |