Reliability data for smart grids: Where the real data can be found

Chren, Stanislav; Rossi, Bruno; Bühnová, Barbora; Pitner, Tomáš

doi:10.1109/scsp.2018.8402648

Cited by 10 publications

(11 citation statements)

References 19 publications

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“…There is a variety of techniques, from regression, to PCA, wavelet transforms, SVM. Worth mentioning are the reliability indexes for Smart Grids [279], [299], that are used to identify the availability of the services for the customer, with indicators such as System Average Interruption Frequency Index (SAIFI), System Average Interruption Duration Index (SAIDI), and Customer Average Interruption Duration Index (CAIDI). Thresholding on such indexes is used to analyze the availability of the service at the SG distribution level.…”

Section: Sms Resultsmentioning

confidence: 99%

“…Reliability plays a key role in the smooth operation of the SG infrastructure. The reliability is ensured by different components/systems [279]:…”

Section: B Smart Grid Componentsmentioning

confidence: 99%

“…load segregation, in our classification). An interesting feature of such toolkit is that it allows to reuse public datasets in the analysis, improving the comparability of research results (for a list of publicly available datasets, see [279], [305]).…”

Section: G Rq7 What Is the Status Of Replicability / Reproducibilitmentioning

confidence: 99%

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Smart Grids Data Analysis: A Systematic Mapping Study

Rossi

Chren

2020

IEEE Trans. Ind. Inf.

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Article under review. This work has been submitted to the IEEE for possible publication. Copyright may be transferred without notice, after which this version may no longer be accessible.The article is structured as follows. In section II, we provide an overview of Smart Grids concepts: mainly architecture and components of the SG infrastructure. In section III, we define the goals, needs, process and research questions for the Systematic Mapping Study on data analysis in the SG context. In section IV, we present the results from the overall SMS process, divided into answers to the main research questions set. In Section V, we discuss the main threats to validity of the current study. Section VI provides the final conclusions.

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Section: Sms Resultsmentioning

confidence: 99%

“…Reliability plays a key role in the smooth operation of the SG infrastructure. The reliability is ensured by different components/systems [279]:…”

Section: B Smart Grid Componentsmentioning

confidence: 99%

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Smart Grids Data Analysis: A Systematic Mapping Study

Rossi

Chren

2020

IEEE Trans. Ind. Inf.

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“…The reliability of the power system is commonly used to encompass all these metrics. The authors of References [69,[110][111][112][113][114][115][116][117][118][119][120][121] have intensively investigated the reliability assessment for smart grid purposes. The reliability is often measured differently at the transmission, generation system, and distribution levels.…”

Section: Reliability Assessment Of Dgs In Modern Gridsmentioning

confidence: 99%

A Comprehensive Review of Recent Advances in Smart Grids: A Sustainable Future with Renewable Energy Resources

et al. 2020

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The smart grid is an unprecedented opportunity to shift the current energy industry into a new era of a modernized network where the power generation, transmission, and distribution are intelligently, responsively, and cooperatively managed through a bi-directional automation system. Although the domains of smart grid applications and technologies vary in functions and forms, they generally share common potentials such as intelligent energy curtailment, efficient integration of Demand Response, Distributed Renewable Generation, and Energy Storage. This paper presents a comprehensive review categorically on the recent advances and previous research developments of the smart grid paradigm over the last two decades. The main intent of the study is to provide an application-focused survey where every category and sub-category herein are thoroughly and independently investigated. The preamble of the paper highlights the concept and the structure of the smart grids. The work presented intensively and extensively reviews the recent advances on the energy data management in smart grids, pricing modalities in a modernized power grid, and the predominant components of the smart grid. The paper thoroughly enumerates the recent advances in the area of network reliability. On the other hand, the reliance on smart cities on advanced communication infrastructure promotes more concerns regarding data integrity. Therefore, the paper dedicates a sub-section to highlight the challenges and the state-of-the-art of cybersecurity. Furthermore, highlighting the emerging developments in the pricing mechanisms concludes the review.

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“…Many layers need to coexist, each one responsible for different areas such as communication protocols, information exchange, and service provision [9]. Each of these layers has to be tested separately and as a whole system to ensure faultless and reliable energy supply [10]. Furthermore, the nature of SGs as a cyber-physical system involves integration with hardware devices, making use of modeling and simulations highly relevant to discovering integration issues at scale [11,12].…”

Section: Introductionmentioning

confidence: 99%

Smart Grid Testing Management Platform (SGTMP)

et al. 2018

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The Smart Grid (SG) is nowadays an essential part of modern society, providing two-way energy flow and smart services between providers and customers. The main drawback is the SG complexity, with an SG composed of multiple layers, with devices and components that have to communicate, integrate, and cooperate as a unified system. Such complexity brings challenges for ensuring proper reliability, resilience, availability, integration, and security of the overall infrastructure. In this paper, we introduce a new smart grid testing management platform (herein called SGTMP) for executing real-time hardware-in-the-loop SG tests and experiments that can simplify the testing process in the context of interconnected SG devices. We discuss the context of usage, the system architecture, the interactive web-based interface, the provided API, and the integration with co-simulations frameworks to provide virtualized environments for testing. Furthermore, we present one main scenario about the stress-testing of SG devices that can showcase the applicability of the platform.

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Reliability data for smart grids: Where the real data can be found

Cited by 10 publications

References 19 publications

Smart Grids Data Analysis: A Systematic Mapping Study

Smart Grids Data Analysis: A Systematic Mapping Study

A Comprehensive Review of Recent Advances in Smart Grids: A Sustainable Future with Renewable Energy Resources

Smart Grid Testing Management Platform (SGTMP)

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