Fault Detection, Isolation, and Service Restoration in Distribution Systems: State-of-the-Art and Future Trends

Zidan, Aboelsood; Khairalla, Mutaz; Abd-Rabou, Ahmed; Khalifa, Tarek; Shaban, Khaled; Abdrabou, Atef; Shatshat, Ramadan El; Gaouda, A.M.

doi:10.1109/tsg.2016.2517620

Cited by 208 publications

(119 citation statements)

References 118 publications

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“…To restore service to customers, suitable backup feeders need to be identified and the loads in out-of-service criteria are temporarily transferred to these feeders through switch operations, until the faulty section is completely repaired. Expert algorithms (in which expert knowledge and experience are translated into rule-based programming logic), mathematical programming approaches (where restoration plans are formulated as an optimisation problem), and multi-agent based approaches (where grid components such as intelligent agents with sensors, actuators, and processing capability have been introduced) have been used in this area (Zidan et al, 2016).…”

Section: Medium-voltage Levelmentioning

confidence: 99%

Electricity networks

Poudineh

Peng

Mirnezami

2017

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While the economics of low carbon generation technologies is fast improving due to a mix of policy and market driven incentives, innovation in electricity networks has been relatively sluggish. This slow adaptation of electricity networks is challenging as they are key to the energy transition. Further electrification of the economy requires significant investment and innovation in the grid segment of the electricity supply chain. Traditional regulatory models of natural monopoly network utilities are designed to incentivise cost efficiency, with the assumption that network business is costly and the task of regulation is to encourage cost reduction subject to firm achieving a certain level of reliability. A feature of innovation activities is that they are riskier in comparison with the business-as-usual activities of network firms. This paper reviews the evolution of electricity grids from the technological and organisational perspectives and analyses the efficacy of existing incentive models in encouraging innovation. We show that incentive mechanisms that do not take uncertainty into account in the outcome of innovation efforts divert the attention of network utilities from innovation to normal efficiency gains. We also demonstrate that the issue of risk can distort the outcome of a competitive scheme for innovation funds when bidders are heterogeneous in their risk tolerance. Finally, based on the results of our analysis about the role of risk in innovation activities and a review of innovation incentive mechanisms in the UK and Italy, we provide recommendations for addressing the problem of innovation under regulation.

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Section: Medium-voltage Levelmentioning

confidence: 99%

Electricity networks

Poudineh

Peng

Mirnezami

2017

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“…Reference [18] presents a fault detection, isolation, and service restoration (FDIR) for an outage event in an electrical distribution grids. An intelligent power switch with integrated protections and self-diagnostic was proposed in ref.…”

Section: Hazard and Risk Analysis Literature Reviewmentioning

confidence: 99%

Risk Assessment of Micro Energy Grid Protection Layers

Koraz

2017

Energies

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Micro energy grids (MEGs) are used extensively to meet the combined electricity, heating, and cooling energy demands for all types of customers. This paper develops a hazard matrix for a MEG and utilizes two advanced risk modeling approaches (fault tree and layer of protection analysis (LOPA)) for MEGs' risk analysis. A number of independent protection layers (IPLs) have been proposed to achieve a resilient MEG, hence increasing its safety integrity level (SIL). IPLs are applied using co-generators and thermal energy storage (TES) techniques to minimize the hazards of system failure, increase efficiency, and minimize greenhouse gas emissions. The proposed modeling and risk assessment approach aims to design a resilient MEG, which can utilize those potentials efficiently. In addition, an energy risk analysis has been applied on each MEGs' physical domains such as electrical, thermal, mechanical and chemical. The concurrent objectives achieve an increased resiliency, reduced emissions, and sustained economy.

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“…In distributed systems theory, integrity monitoring and reliability estimation is generally termed Fault Detection and Isolation (FDI) [3]. However, while being a long investigated topic, most developed mechanisms still suffer from exhaustive resource consumption and are centralized by nature, i.e.…”

Section: Introductionmentioning

confidence: 99%

A Subjective-Logic-based Reliability Estimation Mechanism for Cooperative Information with Application to IV's Safety

Müller

Gabb

Buchholz

2019

2019 IEEE Intelligent Vehicles Symposium (IV)

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Use of cooperative information, distributed by road-side units, offers large potential for intelligent vehicles (IVs). As vehicle automation progresses and cooperative perception is used to fill the blind spots of onboard sensors, the question of reliability of the data becomes increasingly important in safety considerations (SOTIF, Safety of the Intended Functionality).This paper addresses the problem to estimate the reliability of cooperative information for in-vehicle use. We propose a novel method to infer the reliability of received data based on the theory of Subjective Logic (SL). Using SL, we fuse multiple information sources, which individually only provide mild cues of the reliability, into a holistic estimate, which is statistically sound through an end-to-end modeling within the theory of SL.Using the proposed scheme for probabilistic SL-based fusion, IVs are able to separate faulty from correct data samples with a large margin of safety. Real world experiments show the applicability and effectiveness of our approach.

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Fault Detection, Isolation, and Service Restoration in Distribution Systems: State-of-the-Art and Future Trends

Cited by 208 publications

References 118 publications

Electricity networks

Electricity networks

Risk Assessment of Micro Energy Grid Protection Layers

A Subjective-Logic-based Reliability Estimation Mechanism for Cooperative Information with Application to IV's Safety

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