A Fuzzy Petri Net Model Adapts to Changing Operating Conditions to Improve Power Systems Fault Prognosis

Solaiman, R. S.; Kherbek, Tarek; Ahmad, Ahmad S.

doi:10.1109/reepe49198.2020.9059243

Cited by 2 publications

(1 citation statement)

References 14 publications

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“…Figure 2 illustrates the state diagram and the Petri nets for the preceding situations, respectively". Petri nets can also be used in a complementary way to the preceding, as is described by Solaiman et al [58] that proposed a "method to improve fault prognosis using Fuzzy Petri Nets (FPN), by adding internal and external changing conditions to the prognosis process"; the authors introduce new kinds of certain factors that can be adapted with changed conditions on a bus of the reliability test system to show its differences from traditional FPN.…”

Section: Petri Netsmentioning

confidence: 99%

Contributions of Petri Nets to the Reliability and Availability of an Electrical Power System in a Big European Hospital - A Case Study

Pinto

Farinha²,

Singh³

2021

Wseas Transactions on Systems and Control

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The energy power supply infrastructure of a hospital, to function correctly, needs to be well maintained to ensure its reliability and, by consequence, the maximum integrated availability. In this paper, the authors propose the use of Petri Nets to help the improvement of the electric power system reliability, having as a case study a big European Hospital. The purpose of the research is to identify and analyse the potential failures of the system and to suggest solutions to improve the operations and maintenance to maximise the availability and reliability of those assets through possible and objective answers. It was necessary to develop a diagnosis and planning methodology to assess the reliability of several components of the energy power supply system. It is dynamic modelling based on a block diagram of the system and transposed to representation by Petri Nets. The analysis and the simulation of the discrete events of the system, as well as the visualisation of the process functioning and the communications inside, was made. Additionally, they were referred to other approaches, like the Fuzzy Petri Nets and Stochastic Petri Nets, as well as a future balance about its application in a situation like the analysed in this paper

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Section: Petri Netsmentioning

confidence: 99%

Contributions of Petri Nets to the Reliability and Availability of an Electrical Power System in a Big European Hospital - A Case Study

Pinto

Farinha²,

Singh³

2021

Wseas Transactions on Systems and Control

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Fault section diagnosis of power systems with logical operation binary gaining‐sharing knowledge‐based algorithm

Xiong

Yuan

Mohamed

et al. 2021

Int J of Intelligent Sys

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Fault section diagnosis (FSD) is a critical part of the power system dispatching and control. To diagnose the faulty section(s) correctly, an improved binary variant of gaining-sharing knowledge-based algorithm (GSK) named LOBGSK is presented in this paper. It stretches the original GSK over binary search space so as to solve the 0-1 integer programming FSD problem. In LOBGSK, individuals are encoded by binary numbers and logical operations instead of real arithmetic operations are designed to update the individuals. By this, LOBGSK can avoid transcoding in solving the FSD problem. To validate the effectiveness of LOBGSK, it is first applied to a 4-substation test system considering various fault scenarios. Then it is further implemented to the IEEE 118-bus system and an actual fault event occurred in a practical power grid in Jilin province of China. In addition, the influence of three key parameters of LOBGSK is also investigated. Simulation results show that LOBGSK is robust against its key parameters and can offer a 100% successful rate to diagnose different faults quickly, which is demonstrated by the reported results of some published FSD methods. Furthermore, it outperforms seven state-of-the-art metaheuristic algorithms and the original GSK in solving the FSD problem of power systems.

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A Fuzzy Petri Net Model Adapts to Changing Operating Conditions to Improve Power Systems Fault Prognosis

Cited by 2 publications

References 14 publications

Contributions of Petri Nets to the Reliability and Availability of an Electrical Power System in a Big European Hospital - A Case Study

Contributions of Petri Nets to the Reliability and Availability of an Electrical Power System in a Big European Hospital - A Case Study

Fault section diagnosis of power systems with logical operation binary gaining‐sharing knowledge‐based algorithm

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