Abstract
The power industry has emerged as the greatest engineering accomplishment of the 20th century and is the single largest, most complex machine ever built. Rapid strides in the fields of communication and signal processing modernized this traditional grid into a smart grid (SG). The SG consists of high-speed signal processors called phasor measurement units (PMUs) that monitor the grid’s health. The Internet of things (IoT) is emerging as an effective solution to meet the communication needs of these devices. Reliability evaluation of these IoT communication networks for phasor measurement applications plays a quintessential role in guarding against catastrophic failures of the power system. This chapter analyzes the reliability of wireless IoT communication networks using a two-stage Monte-Carlo simulation (MCS). MCS is a stochastic approach and its results are more realistic compared to other deterministic methods. Simulation models are developed for the various essential components of the communication system and their failure distribution is obtained. Furthermore the communication networks are optimally placed to reduce the overall cost of the system. The case study of the Eastern power grid of India corroborates the effectiveness of this research.
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