Reliability of Smart Grid Including Cyber Impact: A Case Study

Reliability of Smart Grid Including Cyber Impact: A Case Study

Janavi Popat, Harsh Kakadiya, Lalit Tak, Neeraj Kumar Singh, Mahshooq Abdul Majeed, Vasundhara Mahajan
Copyright: © 2021 |Pages: 12
DOI: 10.4018/978-1-7998-3327-7.ch013
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Abstract

Smart grid has changed power systems and their reliability concerns. Along with that, cyber security issues are also introduced due to the use of intelligent electronic devices (IEDs), wireless sensory network (WSN), and internet of things (IoT) for two-way communication. This chapter presents a review of different methods used from 2010 to 2020 focusing on citation as the main criteria for reliability assessment of smart grids and proposals to improve reliability when it comes to assessing a practical transmission system. It shows that evolutionary techniques are the latest trend for smart grid security.
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Approaches To Assess Reliability

There are various methods to assess reliability which are classified as shown in the figure-1 (Al-Abdulwahab, Winter, & Winter, 2011; Chen, Lu, & Zhou, 2018; Refaat, Abu-Rub, Trabelsi, & Mohamed, 2018; Wadi, Baysal, Shobole, & Tur, 2018; Yuan, Li, Bie, & Arif, 2019). It is mainly classified as historical and probabilistic method. Probabilistic approach is further classified in two types: 1. Analytical assessment which includes event tree analysis (ETA), reliability block diagram (RBD) and Markov Modelling and 2. Through Simulation which includes Monte Carlo simulation method.

Figure 1.

Classification of Approaches to Assess Reliability

978-1-7998-3327-7.ch013.f01

1. Historical

It is a method of assessing reliability from the experimental values recorded from a practical power system. Forecasting can be done using past data and time to repair (TTR), failure rate, Energy Not Supplied (ENS), Cost of Energy Not Supplied (CENS), etc can be estimated by this conventional method.

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