Programmatically Improve the Efficiency of Suspension Strings

Abstract

with the increasing use of high-voltage networks for the transmission and distribution of electrical power and with the increasing values of transmission and distribution tensions of these networks, the electrical stresses applied to the various insulation systems used in the networks are increasing.

The maximum field intensity and the distribution of field intensity are the main criterion in determining the stress to which different insulation systems are exposed. Knowing the value and location of the maximum field intensity and its distribution in each of these systems is therefore a prerequisite in achieving the optimal design for the isolation of these systems and equipment used in high-tension networks.

Many mathematical, experimental and planning methods contribute to the creation of the prevailing electrical fields in a particular insulation system and are difficult to solve in these ways with the increasing heterogeneity of these fields and the complexity of the forms of insulation systems used so that it may be impossible to reach using these traditional methods a correct and accurate solution in many modern systems with complex shapes or containing more than one insulating material.

Modern software offers us digital methods the optimal means of calculating such cases and through this research the main mathematical foundations adopted in these calculations are studied, and the tendency to adopt reliable software, and the application of these calculations and software to systems and isolation equipment with a very heterogeneous field (suspension strings) in order to improve the efficiency of these strings programmatically by reducing the intensity of the maximum field.