Reliability Modeling Considerations for Emerging Cyber-Physical Power Systems

Aravinthan, Visvakumar; Balachandran, Thanatheepan; Benidris, Mohammed; Fei, Wanghao; Kapourchali, Mohammad Heidari; Hettiarachchige-Don, Anton C. Sameepa; Jiang, Jiping; Lei, Hangtian; Liu, Chen‐Ching; Mitra, Joydeep; Ni, Ming; Papic, Milorad; Parvania, Masood; Sephary, Mojtaba; Singh, Charanjit Kaur Swaran; Srivastava, Anurag K.; Ştefanov, Alexandru; Sun, Hongjian; Tindemans, Simon H.

doi:10.1109/pmaps.2018.8440331

Cited by 23 publications

(31 citation statements)

References 35 publications

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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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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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“…Cyber system architecture A Cyber system deployed in a power system can be categorised into three layers [8]: decision layer, communication layer, and interface layer. The schematic configuration of the cyber system considered in this paper is depicted in Figure 5.…”

Section: 1mentioning

confidence: 99%

Reliability analysis of cyber‐physical microgrids: Study of grid‐connected microgrids with communication‐based control systems

Barani

Vadlamudi

Heegaard

2020

IET Generation Trans & Dist

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Due to the greater penetration of renewable energy resources and the increasing complexity of the distribution system, moving towards a smart distribution system is essential and achievable via advanced information and communication technologies. These technologies come with side effects: not only do they change the structure and functionality of the system, their availability and efficiency alter the operation of the system as a whole. The aim of this paper is to examine the reliability of a cyber-physical microgrid as a part of a smart distribution grid to evaluate the impact of the integration of information and communication technologies into the system and the impact of non-dispatchable renewable energy resources, that is, photovoltaic and wind farms. This paper proposes a framework for developing reliability assessment tools for a grid-connected microgrid with a hierarchical three-level and communication-based control system. Emphasis is laid on incorporating the interdependencies between the cyber system and the microgrid and on detailed models of renewable energy resources. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

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“…Certain modeling methods are suited for specific parts of the grid such as cyber-physical power systems framework modeling [4,5], topology modeling [6,7], load flow modeling [8,9], lightning protection models [10], and traveling wave modeling [11]. In [12,13], the author used pattern recognition to identify the fault current with the waveform data, which is an efficient tool for power transmission line fault detection.…”

Section: Introductionmentioning

confidence: 99%

Fault Current Tracing and Identification via Machine Learning Considering Distributed Energy Resources in Distribution Networks

Fei

Moses

2019

Energies

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The growth of intermittent distributed energy sources (DERs) in distribution grids is raising many new operational challenges for utilities. One major problem is the back feed power flows from DERs that complicate state estimation for practical problems, such as detection of lower level fault currents, that cause the poor accuracy of fault current identification for power system protection. Existing artificial intelligence (AI)-based methods, such as support vector machine (SVM), are unable to detect lower level faults especially from inverter-based DERs that offer limited fault currents. To solve this problem, a current tracing method (CTM) has been proposed to model the single distribution feeder as several independent parallel connected virtual lines that traces the detailed contribution of different current sources to the power line current. Moreover, for the first time, the enhanced current information is used as the expanded feature space of SVM to significantly improve fault current detection on the power line. The proposed method is shown to be sensitive to very low level fault currents which is validated through simulations.

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Reliability Modeling Considerations for Emerging Cyber-Physical Power Systems

Cited by 23 publications

References 35 publications

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

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

Reliability analysis of cyber‐physical microgrids: Study of grid‐connected microgrids with communication‐based control systems

Fault Current Tracing and Identification via Machine Learning Considering Distributed Energy Resources in Distribution Networks

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