The determinants of reliable smart grid from experts’ perspective

Abstract

A smart grid integrates communication networks with the conventional electrical grid. Due to their potential, smart grids are anticipated to achieve widespread deployment. A key component of the success and adoption of smart grids is reliability. Without knowing users’ impressions of the reliability of the smart grid, users will not easily accept and participate in it or its services. However, very few studies address smart grid reliability from the perspective of users. Thus, there is a urgent need to identify key factors that affect smart grid reliability from the user’s viewpoint. The goal of this paper is to examine user perceptions of smart grid reliability and assess their success factors in an effort to close the gap in the literature. This paper propose a model to investigate and determine the most crucial factors that affect the smart grid's reliability based on the Multiple-criteria decision-making (MCDM) method. Firstly, a comprehensive literature analysis was conducted to determine the criteria and sub-criteria used to construct the model; then, the model is constructed using fifteen sub-criteria covering big data, network systems, and grid efficiency criteria; finally, the Fuzzy Analytic Hierarchy Approach (FAHP) and fuzzy triangular numbers are used to evaluate and prioritize the criteria. Twenty smart grid experts were consulted to collect data. The results indicate the significance of the ‘Big Data’ criterion, closely followed by ‘Grid Efficiency’ criterion. Additionally, it is discovered that the sub-criteria of ‘Privacy’ and ‘Interoperability’ had a significant impact on the reliability of the smart grid. The sensitivity analysis shows the variation of factors ranking and the stability and robustness of the model and the results. The research presented in this study has practical applications for academics, engineers, decision-makers, and stakeholders.

Sustainable Electrification—Advances and Challenges in Electrical-Distribution Networks: A Review

“…Moreover, a study has been conducted on the data intelligence of smart meters for future energy systems, highlighting the importance of computational intelligence in energy management [48]. However, user acceptance and participation in the smart grid depend on their perception of its reliability [49], as well as the functions and interactions of users with other stakeholders. The market and technological advancements must be assessed for a comprehensive understanding of the development of smart grids, particularly in the residential sector [50].…”

Residential Prosumer Energy Management System with Renewable Integration Considering Multi-Energy Storage and Demand Response

“…Smart grids are equipped with smart meters, control systems, and decentralized energy sources that are capable of the intelligent generation, transmission, and distribution of energy, which is known as the property of self-healing. In smart grids, loads can communicate with each other and there is a bidirectional flow of electricity [12][13][14][15][16]. Consumers play important role in smart grids by employing an efficient energy management system as shown in Figure 1 by reducing stress on grid and decreasing their electricity cost.…”

A Novel Hybrid Prairie Dog Algorithm and Harris Hawks Algorithm for Resource Allocation of Wireless Networks

“…Mobile networks continues to extend rapidly, nevertheless, and the following 6th mobile network (6g) is already being visualized. 6g will provide a wide range of applications including telehealth, autonomous vehicles, ubiquitous robotics, holographic telepresence, and smart cities [9].…”