Reliability and Fault Diagnosis Methods of Power System Components

Modern risk analysis studies of the power system increasingly rely on big datasets, either synthesized, simulated, or real utility data. Particularly in the transmission system, outage events have a strong influence on the reliability, resilience, and security of the overall energy delivery infrastructure. In this paper we analyze historical outage data for transmission system components and discuss the implications of nearby overlapping outages with respect to resilience of the power system. We carry out a risk-based assessment using North American Electric Reliability Corporation (NERC) Transmission Availability Data System (TADS) for the North American bulk power system (BPS). We found that the quantification of nearby unscheduled outage clusters would improve the response times for operators to readjust the system and provide better resilience still under the standard definition of N-1 security. Finally, we propose future steps to investigate the relationship between clusters of outages and their electrical proximity, in order to improve operator actions in the operation horizon.

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Fault Diagnosis Method of Power System Based on Bayesian Network

2020 2nd International Conference on Artificial Intelligence and Advanced Manufacture (AIAM) ◽

10.1109/aiam50918.2020.00036 ◽

2020 ◽

Author(s):

Zheng Li ◽

Qingyang Liu ◽

Chenxing Na ◽

Yannian Wu ◽

Zhiying Tang

Keyword(s):

Fault Diagnosis ◽

Power System ◽

Bayesian Network ◽

Diagnosis Method

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Convolutional Adversarial Neural Network (CANN) for Fault Diagnosis within a Power System : Addressing the Challenge of Event Correlation for Diagnosis by Power Disturbance Monitoring Equipment in a Smart Grid

2019 International Conference on Information and Communications Technology (ICOIACT) ◽

10.1109/icoiact46704.2019.8938444 ◽

2019 ◽

Author(s):

S. Chan ◽

I. Oktavianti ◽

V. Puspita ◽

P. Nopphawan

Keyword(s):

Neural Network ◽

Fault Diagnosis ◽

Smart Grid ◽

Power System ◽

Event Correlation ◽

Monitoring Equipment

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New models for reliability evaluation of power system components subjected to transient overvoltages

2006 IEEE Power Engineering Society General Meeting ◽

10.1109/pes.2006.1709028 ◽

2006 ◽

Cited By ~ 5

Author(s):

E. Chiodo ◽

G. Mazzanti

Keyword(s):

Power System ◽

Reliability Evaluation ◽

System Components ◽

New Models

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Fault diagnosis for power system based on a special Bayesian network

TENCON 2015 - 2015 IEEE Region 10 Conference ◽

10.1109/tencon.2015.7372723 ◽

2015 ◽

Author(s):

Wang Tao ◽

Zhu Yi ◽

Gao Zhanjun

Keyword(s):

Fault Diagnosis ◽

Power System ◽

Bayesian Network

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Impedance Identification of Integrated Power System Components using Recurrent Neural Networks

2007 IEEE Electric Ship Technologies Symposium ◽

10.1109/ests.2007.372062 ◽

2007 ◽

Cited By ~ 1

Author(s):

Peng Xiao ◽

Ganesh K. Venayagamoorthy ◽

Keith A. Corzine

Keyword(s):

Neural Networks ◽

Power System ◽

Recurrent Neural Networks ◽

System Components ◽

Integrated Power System

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Identification of Optimal Path in Power System Network Using Bellman Ford Algorithm

Modelling and Simulation in Engineering ◽

10.1155/2012/913485 ◽

2012 ◽

Vol 2012 ◽

pp. 1-6 ◽

Cited By ~ 2

Author(s):

S. Hemalatha ◽

P. Valsalal

Keyword(s):

Power System ◽

Transmission Line ◽

Shortest Path ◽

Voltage Stability ◽

Optimal Path ◽

Power Balance ◽

Line Voltage ◽

System Components ◽

Path Search ◽

Search Guidance

Power system network can undergo outages during which there may be a partial or total blackout in the system. In that condition, transmission of power through the optimal path is an important problem in the process of reconfiguration of power system components. For a given set of generation, load pair, there could be many possible paths to transmit the power. The optimal path needs to consider the shortest path (minimum losses), capacity of the transmission line, voltage stability, priority of loads, and power balance between the generation and demand. In this paper, the Bellman Ford Algorithm (BFA) is applied to find out the optimal path and also the several alternative paths by considering all the constraints. In order to demonstrate the capability of BFA, it has been applied to a practical 230 kV network. This restorative path search guidance tool is quite efficient in finding the optimal and also the alternate paths for transmitting the power from a generating station to demand.

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Internet/Intranet Based Remote Condition Monitoring and Fault Diagnosis Scheme and System for Steam Turboset

Key Engineering Materials ◽

10.4028/www.scientific.net/kem.293-294.365 ◽

2005 ◽

Vol 293-294 ◽

pp. 365-372 ◽

Cited By ~ 2

Author(s):

Yong Yong He ◽

Wen Xiu Lu ◽

Fu Lei Chu

Keyword(s):

Fault Diagnosis ◽

Power System ◽

Electric Power ◽

Condition Monitoring ◽

Economic Benefits ◽

Electric Power System ◽

The Internet ◽

Time Data ◽

On Line ◽

Line Condition

The steam turboset is the key equipment of the electric power system. Thus, it is very important and necessary to monitor and diagnose the running condition and the faults of the steam turboset for the safe and normal running of the electric power system. In this paper, the Internet/Intranet based remote condition monitoring and fault diagnosis scheme is proposed. The corresponding technique and methods are discussed in detail. And a real application system is developed for the 300MW steam turboset. In this scheme, the system is built on the Internet/Intranet and the Client/Server construction and Web/Server model are adopted. The proposed scheme can guarantee real-time data acquisition and on-line condition analysis simultaneously. And especially, the remote condition monitoring and fault diagnosis can be implemented effectively. The developed system has been installed in a power plant of China. And the plant has obtained great economic benefits from it.

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