Fault diagnostics in smart micro-grids: A survey

Hare, James Z.; Shi, Xiaofang; Gupta, Savita; Bazzi, Ali M.

doi:10.1016/j.rser.2016.01.122

Cited by 142 publications

(56 citation statements)

References 88 publications

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“…Some research can be pointed out. In [40], an FMEA analysis is conducted to identify the failure modes in microgrid equipment including different generation technologies. In [41] a classical FMECA was applied in a power distribution system located in the region of RELIZANE northwest of ALGERIA; authors conduct the FMECA analysis according to IEC 60812 standard [20].…”

Section: Fmea Applications In Electrical Power Equipment: a Brief Ovementioning

confidence: 99%

Classical Failure Modes and Effects Analysis in the Context of Smart Grid Cyber-Physical Systems

Zúñiga¹,

Baleia²,

Fernandes³

et al. 2020

Preprint

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Reliability assessment in traditional power distribution systems has played a key role in power system planning, design, and operation. Recently, new information and communication technologies have been introduced in power systems automation and asset management, making the distribution network even more complex. In order to achieve efficient energy management, the distribution grid has to adopt a new configuration and operational conditions that are changing the paradigm of the actual electrical system. Therefore, the emergence of the cyber-physical systems concept to face future energetic needs requires alternative approaches for evaluating the reliability of modern distribution systems, especially in the smart grids environment. In this paper, a reliability approach that makes use of failure modes of power and cyber network main components is proposed to evaluate risk analysis in smart electrical distribution systems. We introduce the application of Failure Modes and Effects Analysis (FMEA) method in future smart grid systems in order to establish the impact of different failure modes on their performance. A smart grid test system is defined and failure modes and their effects for both power and the cyber components are presented. Preventive maintenance tasks are proposed and systematized to minimize the impact of high-risk failures and increase reliability.

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Section: Fmea Applications In Electrical Power Equipment: a Brief Ovementioning

confidence: 99%

Classical Failure Modes and Effects Analysis in the Context of Smart Grid Cyber-Physical Systems

Zúñiga¹,

Baleia²,

Fernandes³

et al. 2020

Preprint

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“…For a connected graph, the system's trajectory (23) convergences to the agreement set A w.p.1 (with probability 1) if the condition in (24) holds and for all k ≥ 1, γ(k) ≤ 2/λ n (g).…”

Section: Mg System Modelingmentioning

confidence: 99%

A Control Methodology for Load Sharing System Restoration in Islanded DC Micro Grid with Faulty Communication Links

et al. 2018

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Abstract:Communication-based distributed secondary control is extensively used in DC microgrids. Compared to centralized control, it can provide better voltage regulation and load sharing in microgrids. A conventional secondary control technique that converges the system to a common operating point is improved by using the control methodology to detect the communication link failure and stabilize the system operation during communication islanding. Recently, more robust control schemes have been proposed to improve resilience, but communication islanding has not been addressed at the secondary level control for which the system requires additional tertiary control. However, link failure is a possibility in the microgrid, so this paper proposes a control scheme at the secondary level to detect communication islanding. Communication islanding may lead the system to unpredictable behavior, which may cause the system to become unstable and may further lead to a cascading failure. The proposed control scheme sustains the stability and operation of a DC microgrid. Voltage and current observer works in a parallel manner with the proposed secondary control to achieve a correction term for global operating points. The proposed control scheme has been verified through analysis and simulation.

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“…If timely diagnostics and maintenance actions are not undertaken, these faults can cause inefficient power generation and other losses. 76 Fault diagnostic methods can be model based or data driven. The popular methods are threshold based, fuzzy logic based, state estimation based, classification based, and domain transformation based.…”

Section: Security and Reliabilitymentioning

confidence: 99%

A review on the features and technologies for energy efficiency of smart grid

Anjana¹,

Shaji

2017

Int J Energy Res

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Summary In today's world striving for efficiency in every sector, especially power generation and distribution, smart grids emerge as the solution for efficiently meeting the increasing demand. They adjust themselves to optimally deliver energy at the lowest cost and highest quality possible. The grid successfully makes use of renewable energy resources, electric vehicles, and smart pricing techniques in its attempt to achieve energy efficiency. It also promotes a greener environment by striving to reduce greenhouse gas emissions. Information communication technology (ICT) helps the grid in collecting consumption data from the consumers and in sharing tariff information. ICT also helps to gather information about the status of the grid with regard to aspects like power quality, faults etc. The purpose of this paper is to review recent literature with a view to comprehensively present the technologies employed in the smart grid for achieving energy efficiency and the challenges involved therein.

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Fault diagnostics in smart micro-grids: A survey

Cited by 142 publications

References 88 publications

Classical Failure Modes and Effects Analysis in the Context of Smart Grid Cyber-Physical Systems

Classical Failure Modes and Effects Analysis in the Context of Smart Grid Cyber-Physical Systems

A Control Methodology for Load Sharing System Restoration in Islanded DC Micro Grid with Faulty Communication Links

A review on the features and technologies for energy efficiency of smart grid

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