Digital Architecture for Monitoring and Operational Analytics of Multi-Vector Microgrids Utilizing Cloud Computing, Advanced Virtualization Techniques, and Data Analytics Methods

Patsidis, A.; Booth, Campbell; Rousis, Anastasios Oulis; Kalliga, Polyxeni; Tzelepis, Dimitrios

doi:10.3390/en16165908

Cited by 2 publications

(1 citation statement)

References 30 publications

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“…Patsidis et al [18] employed an architecture that includes edge-cloud communication to extract data-driven insights from microgrids.…”

Section: Introductionmentioning

confidence: 99%

Integrating Statistical Simulation and Optimization for Redundancy Allocation in Smart Grid Infrastructure

Alidaee,

Wang,

Huang

et al. 2023

Energies

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It is a critical issue to allocate redundancy to critical smart grid infrastructure for disaster recovery planning. In this study, a framework to combine statistical prediction methods and optimization models for the optimal redundancy allocation problem is presented. First, statistical simulation methods to identify critical nodes of very large-scale smart grid infrastructure based on the topological features of embedding networks are developed, and then a linear integer programming model based on generalized assignment problem (GAP) for the redundancy allocation of critical nodes in smart grid infrastructure is presented. This paper aims to contribute to the field by employing a general redundancy allocation problem (GRAP) model from high-order nonlinear to linear model transformation. The model is specifically implemented in the context of smart grid infrastructure. The innovative linear integer programming model proposed in this paper capitalizes on the logarithmic multiplication property to reframe the inherently nonlinear resource allocation problem (RAP) into a linearly separable function. This reformulation markedly streamlines the problem, enhancing its suitability for efficient and effective solutions. The findings demonstrate that the combined approach of statistical simulation and optimization effectively addresses the size limitations inherent in a sole optimization approach. Notably, the optimal solutions for redundancy allocation in large grid systems highlight that the cost of redundancy is only a fraction of the economic losses incurred due to weather-related outages.

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“…Patsidis et al [18] employed an architecture that includes edge-cloud communication to extract data-driven insights from microgrids.…”

Section: Introductionmentioning

confidence: 99%

Integrating Statistical Simulation and Optimization for Redundancy Allocation in Smart Grid Infrastructure

Alidaee,

Wang,

Huang

et al. 2023

Energies

View full text Add to dashboard Cite

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Assessment of the Level of Digitalization of Polish Enterprises in the Context of the Fourth Industrial Revolution

Kowal,

Radzik,

Domaracká

2024

Sustainability

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Due to the dynamic development of the Fourth Industrial Revolution, also known as Industry 4.0, the impact of the coronavirus pandemic on the operation of enterprises, and the increasing demands of customers, more and more companies have taken and continue to take action to increase the level of digitalization. The implementation of innovative solutions contributes to the sustainability development of enterprises in various areas (economic, environmental, and social), streamlining processes and increasing effectiveness, efficiency, and quality of work. Such activities also contribute to the effective use of new opportunities by companies and strengthen their competitiveness and market position. The use of digital technologies increases the capacity of companies to innovate and grow, which brings significant benefits in terms of efficiency and competitiveness. The authors attempted to analyze and assess the level of digital transformation in enterprises in Poland. This study aimed to review the current state of digitization of companies, which made it possible to diagnose the level of digital maturity of Polish enterprises and to identify areas that will determine the activities of companies to quickly increase their competitiveness or improve internal processes. Qualitative and comparable methods were used in the analysis. The results show that the degree of digitization of Polish enterprises is increasing, and, in particular, was influenced by the COVID-19 pandemic. Nearly half of the companies analyzed declared that they are increasing their budget for digitalization. The presented study has cognitive value regarding the assessment of the level of digitization of Polish enterprises. Both managers and decision-makers can benefit from the results of the study because decision-making regarding the development of SMEs is crucial to the effectiveness of the industrial strategy.

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Digital Architecture for Monitoring and Operational Analytics of Multi-Vector Microgrids Utilizing Cloud Computing, Advanced Virtualization Techniques, and Data Analytics Methods

Cited by 2 publications

References 30 publications

Integrating Statistical Simulation and Optimization for Redundancy Allocation in Smart Grid Infrastructure

Integrating Statistical Simulation and Optimization for Redundancy Allocation in Smart Grid Infrastructure

Assessment of the Level of Digitalization of Polish Enterprises in the Context of the Fourth Industrial Revolution

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