# Comparative Analysis of Optical Signals Emitted by Corona on a Laboratory Model of Transmission Lines Made of Various Materials

Authors: Sławomir Krzewiński; Paweł Frącz; Ireneusz Urbaniec; Tomasz Turba
Journal: Journal of Spectroscopy
 (2017)

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## Abstract

The paper presents results of comparative analyses of optical signals generated by corona discharges occurring in the vicinity and on the surface of power transmission lines made of five different materials under laboratory conditions. Three aluminium-based materials were chosen: pure aluminium, aluminium with added magnesium, and aluminium with added silicon, and for comparison purposes also, steel-based lines were considered: copper-coated steel and steel with added chromium and nickel. A three-phase triangular arrangement system operating under maximal voltage equal to 110 kV was applied for experimental tests. The optical radiation was registered using a spectrophotometer. During research works, also the influence of corona generation voltage and distance between power lines was investigated. Based on the achieved results, it was stated that the highest corona intensity was found for aluminium-based lines, for both pure aluminium and aluminium with added magnesium and silicon. The lowest corona intensity was observed for chromium- and nickel-alloyed (stainless) steel.


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## Body

## 1. Introduction

Extra high voltage power transmission lines (220, 400, and 750 kV), high voltage lines (110 kV), and distribution lines along with power plants and substations form the main elements of a power system, the purpose of which is to produce and transmit energy to individual consumers. Interruptions in electricity supply especially to industrial consumers can lead to substantial financial losses. Thus, all components of the power system should work stably, reliably, and at the lowest possible cost. In situations which may cause a failure, the response time should be as short as possible; therefore, it is necessary to use in the power equipment state-of-the-art automated protection instruments [1, 2].Three-phase power transmission lines are usually supplied from the sources located in power plants. Operation of power transmission lines is associated with energy losses which generate additional costs to the system. The main reason for these losses is heat generation caused by the flow of current. While maintaining the desired power, the current may be reduced by increasing at the same time the voltage value. Therefore, in order to minimize electricity losses, lines for extra high voltages are constructed. This in turn results in the increase of the costs of other system components including insulators, cables, accessories, and support structures. Another issue connected to energy losses during operation of power transmission lines, especially under extreme conditions at high humidity and temperature, is generation of corona discharges in the vicinity of power line [3–6]. There exist various methods for detection and localization of corona discharges [7–10]. In research studies, the results of which are presented in this paper, corona discharges occurring on a laboratory model of power transmission lines made of various materials were registered using optical spectrophotometry. In particular, a triangular arrangement of lines supplied with a rated voltage of 110 KV was considered and implemented under laboratory conditions.The main contribution of this paper lies in the presentation of the impact of material type on the recorded optical spectra emitted by the laboratory setup of a power line. Also, the influence of supply voltage value and the distance between the lines arranged in the triangular system on the optical spectra was determined.In the subsequent sections of this paper, the following is presented: the measurement system and research methods are presented in Section2, the most crucial results of the conducted comparative analyses are presented in Section 3, and a discussion of the achieved findings is listed in Section 4. Section 5 summarizes the conducted studies and suggests possible future research.


## 2. Methodology and Experimental Setup

The studies involved registration of optical spectra generated by corona discharges occurring in the vicinity and on the surface of power transmission lines made of various materials. The constructed test station allowed for the reproduction of a power transmission line system in its simplified form, giving focus on mapping a triangular arrangement of the power lines. The general view of the test station depicted by spectrophotometry, which was applied for the measurement of optical radiation, the optical cable with the measuring head, and the arrangement of applied power lines, is presented in Figure1. In Figure 2, an approximated view of the fibre optic cable head installed at a small distance to the power line is presented. The radiation was captured by the measuring head and transmitted to the spectrophotometer via the fibre optic cable.Figure 1
General view of the test station in laboratory: A, spectrophotometer, B, head of the fibre optic cable which transmits optical signal to the spectrophotometer, and C, power transmission lines.Figure 2
View of the fibre optic cable head used for the measurement of emission spectra generated by corona discharges.The chief aim of the research was to analyze power lines made of various materials. During the planning process of the experimental studies presented here, the following criteria were considered: the analyzed materials should be commonly applied in the industry and relatively easily accessible for purchase, their chemical composition should be known, and they should have the same diameter. Therefore, three aluminium-based materials were chosen, and for comparison purposes also steel-based lines were considered. The types of materials, the applied designation, and their chemical composition are summarized in Table1.Table 1
Designations and parameters of the materials used for production of tested models of power lines with a delta cable system.
Designation
Line diameter,φ
Type of material
Al
1.2 mm
Aluminium 99.5%
AlMg5
1.2 mm
Aluminium 94.4792% + magnesium 4.89%
AlSi5
1.2 mm
Aluminium 94.6751% + silicon 5.11%
FeCu
1.2 mm
Copper-coated steel
MIG308LSi
1.2 mm
Chromium 19.6% + nickel 9.08% + manganese 1.85% + iron 68% (stainless steel)The experimental methodology involved the construction of a three-phase power transmission line model of a triangular arrangement wherein the power lines were made of the considered materials. The object under study was supplied from three independent transformers of rated power 220/110000 V generating AC voltage. The interfacial system breakdown voltageUp was determined by changing distance d between the power lines from 8 cm to 36 cm, with a 2 cm step. For each experimental trial, values of the applied interfacial voltage were determined as derivatives of the breakdown voltage following the rule 0.9 Up, 0.8 Up, 0.7 Up, and so on. For each value of the applied voltage and for each distance, the emitted optical spectra were registered with the spectrophotometer. The recorded results were subjected to comparative analysis, the results of which are presented in the next section.The tested power transmission line arrangement was subjected to very intensive corona discharges that usually do not occur during normal operation of the power lines (e.g., operation at 90% of the line breakdown voltage), but on the other hand, the tests were performed under very favorable climate conditions—constant temperature of 23°C and relative humidity equal to approx. 30%. Under actual operating conditions, the power line is subjected to varying temperatures, changing humidity, deposition of contaminations, soot, and so on [11, 12]. All of these factors contribute to rather intensive corrosion and line degradation despite the lowest intensity of corona discharge occurrences.Due to the highly stochastic nature of corona occurrence, as well as taking into account its impact on changes in the local physical and chemical parameters of the air, each measurement trial included registration of 30 samples. The aggregate comparisons lead to the conclusion that depending on the modified parameters of the test system, including distance between the power lines (d) and corona generation voltage (% Up), differences of lesser or higher significance were observed in the particular spectra measured. For each measurement series, the registered intensity values were subjected for calculation of arithmetical mean, maximum, and minimum values. Significant differences were observed between the maximum and minimum values, which were not linearly dependent on discharge generation voltage nor on distance d. The further analysis focused on the mean and maximum values.


## 3. Comparative Analysis of Measurement Results

Figure3 shows a typical measurement result of intensity of optical radiation emitted by the aluminium line during tests at a distance d = 36 cm and under supply voltage equal to 0.9 Up, which relates to 109.1 kV.Figure 3
Optical spectrum registered in the vicinity of the aluminium line during measurements under voltage equal to 0.9Up = 109.1 kV and distance d = 36 cm.As already mentioned in the section above, arithmetic averages were calculated for each measurement series. From the obtained averages for each voltage, for each distance, and for each type of the tested power line, the following parameters were determined:(a)
Energy of signal obtained as a sum of spectrum components in the entire analyzed range. The resulting number corresponds to the area under the spectral curve. The energy in this case is a conventional dimensionless unit determining the number of energy units for a given spectrum.(b)
Maximum spectrum values, that is, the highest intensities.(c)
The number of characteristics—significant frequency components of the spectrum; that is, the intensity was higher than 1600.The most important results of the comparative analysis are presented in the following subsections.


### 3.1. Comparative Summary for Signal Energy

Figures4–8 present in aggregate the values of energy values calculated for average intensities of the emission spectra emitted at various corona generation voltages and various distances between power lines made of the considered materials: Al, AlMg5, AlSi5, FeCu, and MIG308LSi.Figure 4
Dependency of voltage and distance on the value of energy of signal calculated for optical spectra emitted by corona around the Al line.Figure 5
Dependency of voltage and distance on the value of energy of signal calculated for optical spectra emitted by corona around the AlMg5 line.Figure 6
Dependency of voltage and distance on the value of energy of signal calculated for optical spectra emitted by corona around the AlSi5 line.Figure 7
Dependency of voltage and distance on the value of energy of signal calculated for optical spectra emitted by corona around the FeCu line.Figure 8
Dependency of voltage and distance on the value of energy of signal calculated for optical spectra emitted by corona around the MIG308LSi line.


### 3.2. Comparative Summary for the Number of Wavelength Components in the Intensity Spectra

Figures9–13 present in aggregate the number of wavelength components included in the emission spectra of intensities exceeding the value of 1600. These values were calculated for averaged intensities registered by the analyzed generation voltages and distances between power lines made of the considered materials: Al, AlMg5, AlSi5, FeCu, and MIG308LSi.Figure 9
Dependency of voltage and distance on the number of wavelength components for the Al line.Figure 10
Dependency of voltage and distance on the number of wavelength components for the AlMg5 line.Figure 11
Dependency of voltage and distance on the number of wavelength components for the AlSi5 line.Figure 12
Dependency of voltage and distance on the number of wavelength components for the FeCu line.Figure 13
Dependency of voltage and distance on the number of wavelength components for the MIG308LSi line.


### 3.3. Comparative Summary for the Highest Intensities in Signal Spectra

Figures14–18 present in aggregate the highest intensity values in the registered emission spectra. These values were calculated for averaged signals gathered by the regarded voltages and distances between power lines made of the considered materials: Al, AlMg5, AlSi5, FeCu, and MIG308LSi.Figure 14
Dependency of voltage and distance on the highest intensity value for the Al line.Figure 15
Dependency of voltage and distance on the highest intensity value for the AlMg5 line.Figure 16
Dependency of voltage and distance on the highest intensity value for the AlSi5 line.Figure 17
Dependency of voltage and distance on the highest intensity value for the FeCu line.Figure 18
Dependency of voltage and distance on the highest intensity value for the MIG308LSi line.


## 3.1. Comparative Summary for Signal Energy

Figures4–8 present in aggregate the values of energy values calculated for average intensities of the emission spectra emitted at various corona generation voltages and various distances between power lines made of the considered materials: Al, AlMg5, AlSi5, FeCu, and MIG308LSi.Figure 4
Dependency of voltage and distance on the value of energy of signal calculated for optical spectra emitted by corona around the Al line.Figure 5
Dependency of voltage and distance on the value of energy of signal calculated for optical spectra emitted by corona around the AlMg5 line.Figure 6
Dependency of voltage and distance on the value of energy of signal calculated for optical spectra emitted by corona around the AlSi5 line.Figure 7
Dependency of voltage and distance on the value of energy of signal calculated for optical spectra emitted by corona around the FeCu line.Figure 8
Dependency of voltage and distance on the value of energy of signal calculated for optical spectra emitted by corona around the MIG308LSi line.


## 3.2. Comparative Summary for the Number of Wavelength Components in the Intensity Spectra

Figures9–13 present in aggregate the number of wavelength components included in the emission spectra of intensities exceeding the value of 1600. These values were calculated for averaged intensities registered by the analyzed generation voltages and distances between power lines made of the considered materials: Al, AlMg5, AlSi5, FeCu, and MIG308LSi.Figure 9
Dependency of voltage and distance on the number of wavelength components for the Al line.Figure 10
Dependency of voltage and distance on the number of wavelength components for the AlMg5 line.Figure 11
Dependency of voltage and distance on the number of wavelength components for the AlSi5 line.Figure 12
Dependency of voltage and distance on the number of wavelength components for the FeCu line.Figure 13
Dependency of voltage and distance on the number of wavelength components for the MIG308LSi line.


## 3.3. Comparative Summary for the Highest Intensities in Signal Spectra

Figures14–18 present in aggregate the highest intensity values in the registered emission spectra. These values were calculated for averaged signals gathered by the regarded voltages and distances between power lines made of the considered materials: Al, AlMg5, AlSi5, FeCu, and MIG308LSi.Figure 14
Dependency of voltage and distance on the highest intensity value for the Al line.Figure 15
Dependency of voltage and distance on the highest intensity value for the AlMg5 line.Figure 16
Dependency of voltage and distance on the highest intensity value for the AlSi5 line.Figure 17
Dependency of voltage and distance on the highest intensity value for the FeCu line.Figure 18
Dependency of voltage and distance on the highest intensity value for the MIG308LSi line.


## 4. Discussion of Analysis Results

Based on the analyses, it was concluded that the spectral intensity curves are similar for all types of power transmission lines. Furthermore, the shapes of the registered spectra resemble those obtained by spectrophotometry during emission of surface discharges on bushing and support insulators [13–15] and on insulators made of porcelain and glass [16, 17].Below, the performed analyses and resulting conclusions are listed:(i)
The analysis of the wavelength components of intensitiesI>1600 was conducted for each type of power transmission line, for each supply voltage % Up, and for distance d between power lines. The obtained results led to the observation that characteristic wavelengths occur in the same ranges: 311–406 nm, 425 nm, 434 nm, 481 nm, 652 nm, and 1040 nm. The occurrence of particular wavelengths changes for various generation voltages and distances d; however, no linear/monotonic relationships were found. This may lead to the conclusion that the observed wavelengths in the recorded spectra do not significantly depend on the material used for production of the power transmission lines.(ii)
The average intensities in the spectrum of each measurement series were used to calculate the area under the spectrum curve, denoted as signal energy. For each line type, a 3D graph was presented showing energy value as a function of distanced and corona discharge generation voltage % Up. This type of analysis led to the following conclusions:
(a)
For Al-type lines, the lowest energy values were obtained for the lowest generation voltage, while the energy increases with the increase in the voltage. The relation is not linear and is not observed for all the values ofd. The energy remains at the constant level for the lowest values of generation voltage and is the same for all the distances. For the highest values of corona discharge generation voltage, there was no linear dependency on distance d found. The highest values of energy, over 3e6, were obtained for distance d = 28 cm and %U in the range 20–50.(b)
For AlMg5-type lines, the lowest energy values were obtained for the lowest generation voltage, while the energy increases with the increase in the voltage. The relation is not linear and is not observed for all the values ofd. The energy remains at the constant level for the lowest values of generation voltage and is the same for all the distances. For the highest values of corona discharge generation voltage, there was no linear dependency from distance d found. The highest values of energy, over 2.5e6, were obtained for distances d = {8, 10, 16, 22, 24, 26} cm.(c)
For AlSi5-type lines, the lowest energy values were obtained for the lowest generation voltage, while the energy increases with the increase in the voltage. The relation is not linear and is not observed for all the values ofd. The energy remains at the constant level for the lowest values of generation voltage and is the same for all the distances. For the higher and the highest corona discharge generation voltage, the energy remains at the same level of approx. 2e6 for a distance of 8–26 cm and increases in the range d = {28–35} cm for the voltage range of 30–60% Up.(d)
For FeCu-type lines, the lowest energy values were obtained for the lowest generation voltage, while the energy increases with the increase in the voltage. For the higher and the highest corona discharge generation voltage, the energy remains at the same level of approx. 2–2.5e6 for a distance of 8–26 cm and increases significantly in the range d = 28–35 cm for voltages exceeding 30% Up, reaching the value of 4e6.(e)
For MIG308LSi-type lines, the lowest energy values were obtained for the lowest generation voltage, while the energy increases with the increase in the voltage. For the higher and the highest corona discharge generation voltage, the energy remains at the same level of approx. 2e6. The highest values reaching 2.5e6 were obtained for distances d = {8, 24, 35} cm.(iii)
An analysis was performed showing the number of components of the highest intensity values in the spectra recorded during measurements for the used line types as a function of distanced and corona generation voltage % Up. The following relations were obtained for all the tested lines:
(a)
There was no effect of distance and corona generation voltage on number of spectrum components withI>1600.(b)
The increase in distance between the power lines results in the decrease in voltage, which causes emission of spectrum with intensityI>1600.(c)
The number of spectrum components of intensityI>1600 increases gradually with the increase in corona voltage for the lower values. However, this is not a linear/monotonic relation.(d)
The highest recorded spectrum intensity was below 15000, which is due to the technical capabilities of the used spectrophotometer head.(iv)
The number of spectrum components with valuesI>1600 was presented as a function of test parameters d and % Up. A linear dependency was found between the number of spectrum components with the highest intensities, when analyzed for individual values of distances d and voltages % Up. The averaged correlation value calculated using the Pearson coefficient for individual measurement series was 7.48.(v)
The values of the highest intensities recorded in the spectra emitted by all types of the tested lines were aggregated in one figure and compared taking into account their dependency on distanced and voltage % Up. This type of analysis led to the following conclusions:
(a)
The highest intensity of the recorded spectra was observed for the line made of alloyed aluminium (AlSi5, AlMg5) and pure aluminium (Al).(b)
The lowest intensity of the recorded spectra was found for the lines made of stainless steel designated as MIG308LSi.(c)
The distance between the lines has no linear effect on the values of the highest intensities of the recorded spectra.


## 5. Summary and Future Work

Results of comparative analyses of optical signals generated by corona discharges occurring in the vicinity of power transmission lines made of five different materials were presented in this paper. The signals were registered with spectrophotometry under laboratory conditions by determining the influence of additional parameters, as corona generation voltage and distance between power lines, on the achieved results.The conducted analysis showed differences in the intensities of corona discharge occurrence for power transmission lines made of different materials. The highest signal intensity measured with a spectrophotometer was found for aluminium-based lines, for both pure aluminium and aluminium with added magnesium and silicon. This was due to the intensive cable corrosion caused by the corona discharge and deposition of strongly hygroscopic aluminium oxides at the cable surface. The corrosion affects smoothness of the cables. Its deterioration increases occurrence of corona discharges, which in turn leads to increased corrosion. Thus, it may be concluded that there is a positive feedback loop leading to the deterioration of the power line. In general, the lowest corona intensity was observed for chromium- and nickel-alloyed steel. After all the experiments, it was also found that the stainless steel power lines had almost no signs of corrosion, which enables the assumption that the surface of the cable remained equally smooth by all measurement series.The results obtained in the studies may help to improve diagnostics of power lines, particularly the effect of corrosion on corona discharge occurrence.In the future work, it seems reasonable to test the effect of cable smoothness on corona discharge occurrence, including the determination of the effect of contamination on corona discharge generation and emission, particularly for older lines. It is possible to conduct ageing tests of cables and accessories used in the power lines. Under laboratory conditions, one can determine which of the factors present during the line operation are particularly dangerous. Such studies may be also conducted as a comparison for various real cables used for the construction of power lines.



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*Source: 8423797-2017-03-15.xml*