Impacts of Communication Network Availability on Synchrophasor-Based DTR and SIPS Reliability

Jimada-Ojuolape, Bilkisu; Teh, Jiashen

doi:10.1109/jsyst.2021.3122022

Cited by 32 publications

(15 citation statements)

References 57 publications

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“…While also reducing latency and bandwidth utilization, which results in fewer network delays and congestion issues. PMU measurements and WAMS technology necessitate extremely secure communication networks, such as power line communication [191], as well as 5 G and 6 G technologies [192] that employ novel concepts such as virtualization, grid monitoring, and grid stability control. The 5 G and 6 G have high communication speeds, low energy consumption, and enhanced security features, and can thus provide a better communications network for WAMS technology.…”

Section: Discussion and Future Trendsmentioning

confidence: 99%

A Review of Machine Learning Approaches in Synchrophasor Technology

Lal

Ramesh

2023

IEEE Access

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Section: Discussion and Future Trendsmentioning

confidence: 99%

A Review of Machine Learning Approaches in Synchrophasor Technology

Lal

Ramesh

2023

IEEE Access

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“…The DTR enables the existing transmission lines to be operated more closely to their capacity limits. Hence, system integrity protection schemes (SIPS) should be designed to ensure security and stable operation of power systems, especially after line outages [119,120].…”

Section: State Variablesmentioning

confidence: 99%

Meter placement algorithms to enhance distribution systems state estimation: Review, challenges and future research directions

Zeraati

Shabanzadeh

Sheibani

et al. 2022

IET Renewable Power Gen

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Increasing the number of measurements in power distribution networks is crucial in improving the monitoring accuracy and operation quality. However, due to the large number of nodes in distribution networks, it is not economically possible to install meters in all nodes. State estimation as a useful tool can help to reduce the need for meters. The location of meters has a significant effect on the state estimation results. A comprehensive literature review of the optimal meter placement methods in distribution networks with the aim of improving state estimation is presented in this paper. These methods are compared in terms of the objective function and constraints of the optimization problem, relevant uncertainties, types of state estimation algorithms and the solution methods. This paper provides a detailed insight for researchers and network operators about the types of meter placement methods, their advantages and disadvantages, existing barriers, and future research areas.

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“…Hashemi-Dezaki et al [23] reported a method based on MCS to assess stochastic behaviours of electric vehicles, DERs, and cyber elements. A sequential MCS-based technique was reported in [16] to evaluate the system reliability in the presence of DTR technologies, considering the communication network availability. In some references, such as [15] and [21], the SMG's reliability has been evaluated by MCS considering the data transmission errors besides the outage of cyber and power elements.…”

Section: Introductionmentioning

confidence: 99%

“…Moreover, new technologies and frameworks have been introduced for ICT‐based power systems and smart grids, such as dynamic thermal rating (DTR) systems [16]. Although these frameworks and technologies allow available power/physical sub‐systems and transmission lines to be operated much closer to their limits, the eventually intensified outages might threaten system reliability [17, 18].…”

Section: Introductionmentioning

confidence: 99%

Analytical reliability evaluation method of smart micro‐grids considering the cyber failures and information transmission system faults

Aslani

Hashemi‐Dezaki

Ketabi

2022

IET Renewable Power Gen

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The reliability of smart micro‐grids (SMGs), as a cyber‐physical system (CPS), might be influenced by cyber failures and information transmission faults. Several Monte Carlo simulation (MCS)‐based approaches have been reported to assess the reliability of SMGs and smart grids. On the other hand, analytical reliability assessment methods have been presented in some research works, while the cyber system has not been concerned. However, the literature shows a research gap in developing an accurate and fast reliability evaluation method for SMGs based on the unavailability of cyber elements and information transmission faults. This article tries to fill the discussed gap by adding the analytical modelling of cyber‐physical interdependencies and information transmission faults to available analytical methods, focusing on physical uncertainties. Comparing the proposed model with existing MCS‐based and analytical reliability evaluation methods illustrates the advantages of this research. Test results show that less than 5.7% expected energy not supplied (EENS) error occurs by the proposed method, which would be much faster than MCS‐based ones. Moreover, the sensitivity analyses highlight the impacts of the cyber network topologies on the cyber‐physical interdependencies.

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Impacts of Communication Network Availability on Synchrophasor-Based DTR and SIPS Reliability

Cited by 32 publications

References 57 publications

A Review of Machine Learning Approaches in Synchrophasor Technology

A Review of Machine Learning Approaches in Synchrophasor Technology

Meter placement algorithms to enhance distribution systems state estimation: Review, challenges and future research directions

Analytical reliability evaluation method of smart micro‐grids considering the cyber failures and information transmission system faults

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