@article{(Open Science Index):https://publications.waset.org/pdf/10011111,
	  title     = {Study of Hydrophobicity Effect on 220kV Double Tension Insulator String Surface Using Finite Element Method},
	  author    = {M. Nageswara Rao and  V. S. N. K. Chaitanya and  P. Vijaya Haritha},
	  country	= {},
	  institution	= {},
	  abstract     = {Insulators are one of the most significant equipment in power system. The insulators’ operation may affect the power flow, line loss and reliability. The electrical parameters that influence the performance of insulator are surface leakage current, corona and dry band arcing. Electric field stresses on the insulator surface will degrade the insulating properties and lead to puncture. Electric filed stresses can be analyzed by numerical methods and experimental evaluation. As per economic aspects, evaluation by numerical methods are best. In outdoor insulation, a hydrophobic surface can facilitate to prevent water film formation on the insulation surface, which is decisive for diminishing leakage currents and partial discharge (PD) under heavy polluted environments and harsh weather conditions. Polymer materials like silicone rubber have an outstanding hydrophobic property among general insulation materials. In this paper, electrical field intensity of 220 kV porcelain and polymer double tension insulator strings at critical regions are analyzed and compared by using Finite Element Method. Hydrophobic conditions of polymer insulator with equal and unequal water molecule conditions are verified by using finite element method.
},
	    journal   = {International Journal of Electronics and Communication Engineering},
	  volume    = {14},
	  number    = {3},
	  year      = {2020},
	  pages     = {70 - 75},
	  ee        = {https://publications.waset.org/pdf/10011111},
	  url   	= {https://publications.waset.org/vol/159},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 159, 2020},
	}