Power
Yasaman Abbasi Chahardah Cheriki; Hossein Farzin; Elaheh Mashhour
Abstract
In recent decades, the probability of natural disasters has increased due to climate change. As a result, the discussion of resilience in the power system literature was raised. One consequence of these events is the unwanted operation of some power system equipment, which causes unexpected blackouts ...
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In recent decades, the probability of natural disasters has increased due to climate change. As a result, the discussion of resilience in the power system literature was raised. One consequence of these events is the unwanted operation of some power system equipment, which causes unexpected blackouts and increases the value of energy not supplied (ENS) in the system. Insulators are important components of the power system that have a great impact on the continuity of supply. Electrical flashover in insulators causes a decrease in their insulation strength and might lead to short circuit faults in the power system. In this paper, the effect of dust storms and humidity on the probability of transmission network insulators flashover is investigated. The studied insulator is simulated in Electrical AutoCAD software, and after applying pollution and moisture in COMSOL-Multiphysics software, the distribution of potential and electric field on the studied insulator is obtained using the finite element method (FEM). In order to determine the probability of insulation flashover, the candidate points for arc occurrence are selected using the roulette wheel method in MATLAB software, and the insulation flashover probability curve is determined in different amounts of dust pollution and three humidity levels of 65%, 80%, and 95%. The effects of increasing the creepage distance and using silicone rubber materials that have hydrophobic properties are investigated, and various sensitivity analyses are conducted. The results indicate that both solutions can significantly reduce the flashover probability of transmission insulators.
Power
Ali Rouhipour; Elaheh Mashhour; Mohsen Saniei
Abstract
This paper develops a new model for the optimal placement of switches (both manual and automatic ones) in distribution networks to simultaneously reduce energy loss and improve network security. Expected energy not supplied (EENS) is assumed as the security index, and a method is developed for more exact ...
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This paper develops a new model for the optimal placement of switches (both manual and automatic ones) in distribution networks to simultaneously reduce energy loss and improve network security. Expected energy not supplied (EENS) is assumed as the security index, and a method is developed for more exact calculation of this index regarding drastic climatic changes along with global warming and the resultant effects on both power consumption patterns and power network occurrence. The objective function of the problem is minimizing investment and maintenance costs, the cost of energy loss, and EENS cost. The suggested model can locate optimal places for installing the switches and their seasonal closed and open states so that the total costs can be minimized. The model is implemented on two test networks and evaluated under different scenarios. According to the results, despite the higher costs of automatic switches, the application of automatic switches is more economical in low-security networks for improving network security.