Discussion on "Bayesian reliability estimation based on a Weibull stress-strength model for aged power system components subjected to voltage surges" [and reply]

2006 ◽  
Vol 13 (4) ◽  
pp. 935-937
Author(s):  
S. Nadarajah ◽  
S. Kotz ◽  
E. Chiodo ◽  
G. Mazzanti
Keyword(s):  
Power System ◽  
Reliability Estimation ◽  
Strength Model ◽  
System Components ◽  
Weibull Stress

Ensuring the Validity of Methodical Support for Managing Electric Power System Components

2020 ◽  
Vol 2 (2) ◽  
pp. 4-9
Author(s):  
El’mar M. FARKHADZADE ◽  
◽  
Audin Z. MURADALIYEV ◽  
Tamara K. RAFIYEVA ◽  
Aisel’ AliPanach kyzy RUSTAMOVA ◽  
...  
Keyword(s):  
Power System ◽  
Electric Power ◽  
Electric Power System ◽  
System Components

scholarly journals A Risk-Based Approach to Assess the Operational Resilience of Transmission Grids

2020 ◽  
Vol 10 (14) ◽  
pp. 4761
Author(s):  
Milorad Papic ◽  
Svetlana Ekisheva ◽  
Eduardo Cotilla-Sanchez
Keyword(s):  
Power System ◽  
North American ◽  
Response Times ◽  
Transmission System ◽  
Energy Delivery ◽  
The North ◽  
System Components ◽  
Bulk Power ◽  
Definition Of ◽  
The Relationship

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.

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

2012 ◽  
Vol 2012 ◽  
pp. 1-6 ◽  
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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