Abstract
The physical environment around transmission lines plays a major role in the resulting reliability of the power network. The inclusion of weather in the failure and repair process will lead to realistic modelling of the power network. This article suggests a modelling methodology to take into account weather-related failures. Besides a maintenance management strategy using dynamic programming, it is suggested to minimizing the cost of maintenance while accounting for weather-related failures. The data obtained from 220kV Transmission lines from Goa, India, is used to stochastically model the phenomenon. A three-state weather model is suggested, and accordingly the failure and repair phenomenon are segregated and stochastically modelled. Time-varying expressions for computing the availability in each weather condition is computed. This model can be used by the power utilities to realistically model weather-related failures.
Highlights
In India, the unavailability of power based on weather is a cause of outrage and bitter criticism from the public against the power utilities
Among the other reasons of power failure, the weather is one of the most important factors affecting the reliability of power systems (Panteli, Pickering, Wilkinson, Dawson, & Mancarella, 2017; Zhou, Pahwa, & Yang, 2006)
Analysis of transmission line is important because the failure of transmission lines will lead to the power outage of several distribution lines leading to blackouts (Sony Michael & Mariappan, 2012)
Summary
In India, the unavailability of power based on weather is a cause of outrage and bitter criticism from the public against the power utilities. For an overhead transmission system, the weather environment can severely impact the performance of the transmission lines leading to the power utility’s operational ability due to enhanced line failure and repair rates during bad weather periods (Billinton & Singh, 2006). For cash-starved utilities, incorporating weather-related outages will lead to optimum allocation of available resources Another aspect to consider in a developing country is that the repair process is dependent on weather (Sony Michael, Mariappan, & Kamat, 2011). Due to the practical impact of weather-related failure on repair rates, it makes the problem, further complex in a developing country power utility and the three-state model will not be able to capture its complexity (Michael, Amonkar, Mariappan, & Kamat, 2009). The model can be used readily by power utilities for evaluating its availability and maintenance strategy designed
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