A Goal Oriented Reliability Assessment of System Protection Devices

Xu, Lixiong; Liu, Yang; Xu, Shiguang; Chen, Xiong; Li, Linxiu

doi:10.1109/aeees54426.2022.9759623

Cited by 1 publication

(1 citation statement)

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“…The four architectures are recorded in Table 6. The methods mostly used in reliability analysis include the analytical method, Monte Carlo method [5,30], and network methods, among which the analytical method can be further split into the fault tree method, GO method [31], Markov method [32][33][34][35][36], and reliability block diagram method [30,37]. In this paper, the reliability block diagram method and Markov method are adopted to analyze the mission reliability of PACS architectures.…”

Section: Mission Reliability Of Pac Iedsmentioning

confidence: 99%

Study on Reliability of PACSs with Integrated Consideration of Both Basic and Mission Reliability

Chen,

Jin

2024

Energies

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Protective relays play a fundamental role in power systems, whose functions consist of three parts, namely protection, automation, and control, thus called the PAC altogether. It turns out that the architecture of a PACS (protection, automation, and control system) may exert a direct impact on the reliability of protective relay systems, previous studies of which are often conducted on the assumption that intelligent electronic devices (IEDs) have a constant fault rate with only mission reliability of the systems considered. To obtain a more accurate evaluation of system reliability bearing system maintenance in mind, this article proposes a novel method to appraise the reliability of PACSs with integrated consideration of basic and mission reliability. Firstly, the basic reliability of IEDs is calculated by parts count prediction, which will provide a more precise fault rate of IEDs. Secondly, the reliability of PACSs is analyzed by the reliability diagram and Markov model. By using the parts count prediction method to calculate the failure rate of the device, the steady-state probability rate will be accurate more than 0.0107%. At last, a quantitative criterion is finalized for selecting a suitable architecture easily.

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