Assessment of Insulator Pollution Degree Based on Contamination Moisture With Temperature Change

Risk Probabilistic Characteristics for Contaminated Porcelain Insulator in the Egyptian Sinai Desert

“…Te solution salinity is frst derived from the below expression in order to transform the salt content expressed in ESC (mg of salt/g of sand), as provided by the chemical analysis, into pollution layer electrical conductivity (μS/m) [9,17].…”

“…Tis means that the probability density function of the random variable z (leakage current) can be calculated as the product of the probability density functions of x and y, i.e., P(z) � P(x) * P(y). Depending on the samples collected of sands in Sinai [9], the frequency distribution of ESC was calculated and then the probability density function P(x) was derived. It was found that P(x) is represented as Beta distribution; its average is 298.7 μS/cm, and standard deviation is 557.4 μS/cm [9].…”

“…Depending on the samples collected of sands in Sinai [9], the frequency distribution of ESC was calculated and then the probability density function P(x) was derived. It was found that P(x) is represented as Beta distribution; its average is 298.7 μS/cm, and standard deviation is 557.4 μS/cm [9]. Also, the frequency distribution of grain size was calculated and then the probability density function P(y) was derived.…”

“…Ultimately, the cost of insulator cleaning must be weighed against the potential costs of a power outage or insulation failure, which can be much more signifcant. Te level of contamination and salinity, which in turn infuences the conductivity of the contamination layer, determines the amount of the leakage current on a polluted insulator surface [8][9][10][11][12]. Porcelain insulators are commonly used in high voltage power lines due to their excellent electrical and mechanical properties.…”

“…A conventional two-shed porcelain insulator that could be utilized on 220 kV power lines is used as a simulated case study. Tese leakage current distributions are computed with various sand conductivities and sand grain thicknesses using actual data from a previous study based on sand samples gathered from the Sinai desert near the transmission line [9]. In that investigation, the salinity and subsequent conductivity of random samples of soil from the desert are used to determine the statistical distributions of the size of the sand grains.…”