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Evaluation and Assessment of Smart Grid Reliability Using Fuzzy Multi-criteria Decision-Making

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Applications of Fuzzy Logic in Planning and Operation of Smart Grids

Part of the book series: Power Systems ((POWSYS))

Abstract

Smart grid is a new paradigm that integrates traditional electricity grid and communication networks. Reliability is a critical challenge associated with smart grid and needs to be addressed. Based on comprehensive literature review and experts’ judgments, we develop a model to identify the most important criteria that have an impact on smart grid reliability from the perspective of users. The model takes into account three main criteria: “Big Data Management,” “Communication System,” and “System Functionality.” The fuzzy analytic hierarchy process is applied to analyze and prioritize these criteria based on the triangular fuzzy numbers and triangular membership function.

The results show that the “Big Data Management” main criterion has a significant impact on smart grid reliability, followed by “Communication System.” Furthermore, “Data Analytics” and “Data Visualization” were ranked as the most influential sub-criteria that influence smart grid reliability. Four various sensitivity analysis strategies have been applied to investigate the stability and robustness of results. This chapter provides meaningful implications and future research directions that are useful for many practitioners, engineers, academicians, and electricity policy makers to focus their efforts on smart grid reliability.

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  1. Computer Science Department and Software Engineering Department, Aqaba University of Technology, Aqaba, Jordan

    Ibrahim Mashal

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    Mehdi Rahmani-Andebili

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Mashal, I. (2021). Evaluation and Assessment of Smart Grid Reliability Using Fuzzy Multi-criteria Decision-Making. In: Rahmani-Andebili, M. (eds) Applications of Fuzzy Logic in Planning and Operation of Smart Grids. Power Systems. Springer, Cham. https://doi.org/10.1007/978-3-030-64627-1_3

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