Reliability Analysis of Electrical Power System Using Graph Theory and Reliability Block Diagram

2019 ◽  
Author(s):  
Bouziane Boussahoua ◽  
Ali Elmaouhab
Keyword(s):  
Graph Theory ◽  
Power System ◽  
Reliability Analysis ◽  
Block Diagram ◽  
Electrical Power ◽  
Electrical Power System ◽  
Reliability Block Diagram

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

2021 ◽  
Vol 16 ◽  
pp. 21-42
Author(s):  
Constâncio António Pinto ◽  
José Torres Farinha ◽  
Sarbjeet Singh
Keyword(s):  
Power System ◽  
Petri Nets ◽  
Power Supply ◽  
Block Diagram ◽  
Electrical Power ◽  
Dynamic Modelling ◽  
Electric Power System ◽  
Stochastic Petri Nets ◽  
Electrical Power System

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

Reliability analysis for electrical power systems based on importance measures

2019 ◽  
pp. 1748006X1989487
Author(s):  
Fangyu Liu ◽  
Hongyan Dui ◽  
Ziyue Li
Keyword(s):  
Power Systems ◽  
Power System ◽  
Reliability Analysis ◽  
Preventive Maintenance ◽  
System Performance ◽  
Electrical Power ◽  
Importance Measure ◽  
Reliability Engineering ◽  
Electrical Power System ◽  
Electrical Power Systems

With the introduction of reliability engineering, electrical power system reliability has become an important basis for decision-making in the power industry. Two operation cases of electrical power systems are considered in this article. When the system is in an ordinary way, the influence between two system components will affect the importance measure of one component. When some component is in maintenance, preventive maintenance for working components and corrective maintenance for failed components can be executed simultaneously to enhance electrical power system performance. In view of the above two cases, two importance measures are proposed to effectively guide the preventive maintenance, aiming to improve the system performance within a limited budget. Reliability analysis procedure and methods applied toward the two importance measures are then developed and illustrated with the analysis on a Dual Element Spot Network system with double power supplies and double loads. Finally, a strategy for preventive maintenance is proposed by ranking the importance of these components.

scholarly journals Contingency Ranking Method using Fuzzy Controller

2019 ◽  
Vol 8 (12) ◽  
pp. 3104-3108
Keyword(s):  
Power System ◽  
Power Flow ◽  
Fuzzy Controller ◽  
Block Diagram ◽  
Electrical Power ◽  
Electrical Power System ◽  
Contingency Analysis ◽  
Contingency Ranking ◽  
Complete Ranking ◽  
The Common

The electrical power system is a combination of electric devices developed for distribution and transmission of power supply. In spite of the common components being used in power system, they differ only in their operation and design. Contingency Analysis (CA) is a method to check for and calculate the faults in the power system and to give importance for the problem occurring in power system. Contingency analysis is an application in computer that uses a simulated block diagram model of the fault area in power system to specify the effects in that power system and to check for the overloads from any of the outsourcings. The outsourcing complete ranking of the contingency severity is being obtained. The fuzzy system approach is being used to solve the power flow problem for different contingency conditions when loading

Gradient Ascent Optimization for Fault Detection in Electrical Power System Based on Wavelet Transformation

2019 ◽  
Vol 14 ◽  
Author(s):  
Iyappan Murugesan ◽  
Karpagam Sathish
Keyword(s):  
Feature Extraction ◽  
Fault Detection ◽  
Power System ◽  
Electrical Power ◽  
Daubechies Wavelet ◽  
Electrical Power System ◽  
Gradient Ascent ◽  
Neural Learning ◽  
Weight Value ◽  
Transmission And Distribution

: This paper presents electrical power system comprises many complex and interrelating elements that are susceptible to the disturbance or electrical fault. The faults in electrical power system transmission line (TL) are detected and classified. But, the existing techniques like artificial neural network (ANN) failed to improve the Fault Detection (FD) performance during transmission and distribution. In order to reduce the power loss rate (PLR), Daubechies Wavelet Transform based Gradient Ascent Deep Neural Learning (DWT-GADNL) Technique is introduced for FDin electrical power sub-station. DWT-GADNL Technique comprises three step, normalization, feature extraction and FD through optimization. Initially sample power TL signal is taken. After that in first step, min-max normalization process is carried out to estimate the various rated values of transmission lines. Then in second step, Daubechies Wavelet Transform (DWT) is employed for decomposition of normalized TLsignal to different components for feature extraction with higher accuracy. Finally in third step, Gradient Ascent Deep Neural Learning is an optimization process for detecting the local maximum (i.e., fault) from the extracted values with help of error function and weight value. When maximum error with low weight value is identified, the fault is detected with lesser time consumption. DWT-GADNL Technique is measured with PLR, feature extraction accuracy (FEA), and fault detection time (FDT). The simulation result shows that DWT-GADNL Technique is able to improve the performance of FEA and reduces FDT and PLR during the transmission and distribution when compared to state-of-the-art works.

scholarly journals Optical Voltage Transformer Based on FBG-PZT for Power Quality Measurement

Sensors ◽  
2021 ◽  
Vol 21 (8) ◽  
pp. 2699
Author(s):  
Marceli N. Gonçalves ◽  
Marcelo M. Werneck
Keyword(s):  
Power System ◽  
Power Quality ◽  
Distribution System ◽  
Electrical Power ◽  
Quality Measurement ◽  
Pockels Effect ◽  
Electrical Power System ◽  
Voltage Transformer ◽  
Technical Literature ◽  
Distribution Lines

Optical Current Transformers (OCTs) and Optical Voltage Transformers (OVTs) are an alternative to the conventional transformers for protection and metering purposes with a much smaller footprint and weight. Their advantages were widely discussed in scientific and technical literature and commercial applications based on the well-known Faraday and Pockels effect. However, the literature is still scarce in studies evaluating the use of optical transformers for power quality purposes, an important issue of power system designed to analyze the various phenomena that cause power quality disturbances. In this paper, we constructed a temperature-independent prototype of an optical voltage transformer based on fiber Bragg grating (FBG) and piezoelectric ceramics (PZT), adequate to be used in field surveys at 13.8 kV distribution lines. The OVT was tested under several disturbances defined in IEEE standards that can occur in the electrical power system, especially short-duration voltage variations such as SAG, SWELL, and INTERRUPTION. The results demonstrated that the proposed OVT presents a dynamic response capable of satisfactorily measuring such disturbances and that it can be used as a power quality monitor for a 13.8 kV distribution system. Test on the proposed system concluded that it was capable to reproduce up to the 41st harmonic without significative distortion and impulsive surges up to 2.5 kHz. As an advantage, when compared with conventional systems to monitor power quality, the prototype can be remote-monitored, and therefore, be installed at strategic locations on distribution lines to be monitored kilometers away, without the need to be electrically powered.

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