Mathematical Modeling on AC Pollution Flashover Performance of Glass and Composite Insulator

Abstract

-While considering the current scenario, in this world power demand goes on increases day by day. Frequent power outages occur in high voltage transmission line due to the deprived performance of polluted insulators; this affects overall operation of power system and may indirectly impinge on the growth of production sector. Many researchers are keenly taking efforts to provide highly reliable and stable power to neediest. In this paper, A.C pollution flashover performance of disc type glass insulator and composite long rod insulators investigation under various artificial pollutions by varying Equivalent Salt Density Deposition (ESDD) levels. Here, we use different types of pollution methods like binding method, dipping method and spraying methods with different types of pollutants concentration. Based on dimensional analysis, four different Mathematical models have been developed to predict the A.C pollution Flashover Voltage (FOV) of insulators. Both the experimental and mathematically modeled results are compared; it's observed that mathematical model 3 yields better results.

Flashover Voltage Prediction Models under Agricultural and Biological Contaminant Conditions on Insulators

“…Modeling of flashover has been used in the insulator field over the years. Using the dimensional analysis technique, researchers derived the mathematical expression between flashover voltage and equivalent salt deposit density (ESDD) [20]. Various works report combined experiments and regression analysis for estimating flashover performance of different insulators by taking different parameters as variables, such as leakage distance, surface resistance, wind speed, temperature, humidity, etc.…”

“…All statistical models proposed in the present work are aimed to predict the flashover voltage for different values of the ESDD (light-to-heavy contamination level), NSDD, and their combination for a standard cap-and-pin-type insulator. As per the data, [20][21][22][23][24][25][26] relate regression models that can be classified either as linear or non-linear. The generalized form of linear regression is given by Equation (1), as follows:…”

Statistical Analysis Of Silicon Grease Coated Bushings Characteristics Under Various Contaminated Conditions

“…Then, the test samples are dried naturally under sunlight. Consecutively, silicon grease is applied on the surface of the bushings uniformly by using brushing or spraying methods [14].…”