Semi-Markov Processes for Power System Reliability Assessment With Application to Uninterruptible Power Supply

Uninterruptible Power Supply ◽

Uninterruptible Power ◽

Semi Markov Processes

Composite power system reliability assessment using maximum capacity flow and directed Binary Particle Swarm Optimization

2013 North American Power Symposium (NAPS) ◽

10.1109/naps.2013.6666951 ◽

2013 ◽

Cited By ~ 10

Author(s):

Mohammed Benidris ◽

Joydeep Mitra

Keyword(s):

Particle Swarm Optimization ◽

Power System ◽

System Reliability ◽

Reliability Assessment ◽

Particle Swarm ◽

Binary Particle Swarm Optimization ◽

Swarm Optimization ◽

Maximum Capacity ◽

A new formulation for power system reliability assessment with AC constraints

International Journal of Electrical Power & Energy Systems ◽

10.1016/j.ijepes.2013.11.027 ◽

2014 ◽

Vol 56 ◽

pp. 298-306 ◽

Cited By ~ 22

Author(s):

Amir Safdarian ◽

Mahmud Fotuhi-Firuzabad ◽

Farrokh Aminifar ◽

Matti Lehtonen

Keyword(s):

Power System ◽

System Reliability ◽

Reliability Assessment ◽

New Formulation

2020 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS) ◽

Composite Power System Reliability Assessment Considering Transmission Line Flexibility

10.1109/pmaps47429.2020.9183505 ◽

2020 ◽

Author(s):

Gabriel Santos Bolacell ◽

Mauro Augusto da Rosa

Keyword(s):

Power System ◽

Transmission Line ◽

System Reliability ◽

Reliability Assessment ◽

Incorporation of protection system failures into bulk power system reliability assessment by Bayesian networks

IET Generation Transmission & Distribution ◽

10.1049/iet-gtd.2014.0365 ◽

2015 ◽

Vol 9 (11) ◽

pp. 1226-1234 ◽

Cited By ~ 15

Author(s):

Mojtaba Eliassi ◽

Hossein Seifi ◽

Mahmoud-Reza Haghifam

Keyword(s):

Power System ◽

Bayesian Networks ◽

System Reliability ◽

Reliability Assessment ◽

Protection System ◽

System Failures ◽

Bulk Power

Incorporating protection systems into composite power system reliability assessment

2015 IEEE Power & Energy Society General Meeting ◽

10.1109/pesgm.2015.7285636 ◽

2015 ◽

Cited By ~ 2

Author(s):

Hangtian Lei ◽

Chanan Singh

Keyword(s):

Power System ◽

System Reliability ◽

Reliability Assessment ◽

Protection Systems ◽

Bulk Power System Reliability Assessment - Why and How? Part II: How?

IEEE Power Engineering Review ◽

10.1109/mper.1982.5519507 ◽

1982 ◽

Vol PER-2 (9) ◽

pp. 63-64

Author(s):

J. Endrenyi ◽

P. F. Albrecht ◽

R. Billinton ◽

G. E. Marks ◽

N. D. Reppen ◽

...

Keyword(s):

Power System ◽

System Reliability ◽

Reliability Assessment ◽

Bulk Power

Incorporating aging failure mode and multiple capacity state model of HVDC system in power system reliability assessment

Electric Power Systems Research ◽

10.1016/j.epsr.2006.08.003 ◽

2007 ◽

Vol 77 (8) ◽

pp. 910-916 ◽

Cited By ~ 11

Author(s):

Jiaqi Zhou ◽

Wenyuan Li ◽

Jiping Lu ◽

Wei Yan

Keyword(s):

Power System ◽

Failure Mode ◽

System Reliability ◽

Reliability Assessment ◽

State Model ◽

Hvdc System

A comparison of Monte Carlo simulation techniques for composite power system reliability assessment

IEEE WESCANEX 95. Communications, Power, and Computing. Conference Proceedings ◽

10.1109/wescan.1995.493961 ◽

2002 ◽

Cited By ~ 31

Author(s):

R. Billinton ◽

A. Sankarakrishnan

Keyword(s):

Monte Carlo Simulation ◽

Monte Carlo ◽

Power System ◽

System Reliability ◽

Reliability Assessment ◽

Simulation Techniques ◽

98/03864 Power system reliability assessment suitable for a deregulated system via the method of cumulants

Fuel and Energy Abstracts ◽

10.1016/s0140-6701(98)93859-0 ◽

1998 ◽

Vol 39 (5) ◽

pp. 361

Keyword(s):

Power System ◽

System Reliability ◽

Reliability Assessment ◽

Power System Reliability

Application of new wind speed model in power system reliability assessment

2015 50th International Universities Power Engineering Conference (UPEC) ◽

10.1109/upec.2015.7339861 ◽

2015 ◽

Author(s):

Hui Li ◽

Jingli Guo ◽

Jun Liang

Keyword(s):

Wind Speed ◽

Power System ◽

System Reliability ◽

Reliability Assessment ◽

Power System Reliability