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Keywords
(10)
Ant Colony Optimization
Comparative Study
Computational Efficiency
Genetic Algorithm
Monte Carlo Simulation
particle swarm optimizer
Power System
Power System Reliability
State Space
Reliability Test System
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Power system reliability assessment using intelligent state space pruning techniques: A comparative study
Power system reliability assessment using intelligent state space pruning techniques: A comparative study,10.1109/POWERCON.2010.5666062,Robert C. Gree
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Power system reliability assessment using intelligent state space pruning techniques: A comparative study
(
Citations: 5
)
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Robert C. Green II
,
Lingfeng Wang
,
Zhu Wang
,
Mansoor Alam
,
Chanan Singh
State space
pruning is a methodology that has been used to improve the
computational efficiency
and convergence of
Monte Carlo Simulation
(MCS) when computing the reliability indices of power systems. This methodology improves performance of MCS by pruning state spaces in such a manner that a new
state space
with a higher density of failure states than the original
state space
is created. We have previously proposed using Populationbased Intelligent Search (PIS), specifically Genetic Algorithms (GA) and Binary Particle Swarm Optimization (BPSO), to prune the state space. This paper reexamines these techniques, suggests improvements, examines the extension of these techniques to a larger test system, and extends the method to include both Repulsive Binary Particle Swarm Optimization (RBPSO) and Binary
Ant Colony Optimization
(BACO). These methods are tested using the single and three area IEEE Reliability Test Systems.
Conference:
International Conference on Power System Technology  POWERCON
, 2010
DOI:
10.1109/POWERCON.2010.5666062
Cumulative
Annual
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Citation Context
(4)
...The model used here is based upon models given by [3], [4], [19] and has previously been described in [12]–[
14
]...
Robert C. Green II
,
et al.
An examination of artificial immune system optimization in intelligent...
...Several methods that have been developed for the reliability analysis of composite power systems include analytical methods [1], Monte Carlo simulation (MCS) [2], analytical methods for decomposition [3], [4], [5], populationbased intelligent search (PIS) methods [6], [7], [8], [9], [10], [11], and state space pruning methods [12], [13], [
14
], [15], [16], [17]...
...PIS methods, and MCS have recently resulted in intelligent state space pruning techniques that have been shown to increase the rate of convergence and decrease the computational time of MCS [12], [13], [
14
], [15], [16], [17]...
Robert C. Green II
,
et al.
Intelligent state space pruning using multiobjective PSO for reliabil...
...Some of these new and computationally superior methods include Monte Carlo Simulation (MCS) [2], Populationbased Intelligent Search (PIS) [3], [4], [5], analytical methods for state space pruning [6], [7], [8], and PIS methods for state space pruning [9], [10], [
11
]...
...The need to reduce the computational efforts for convergence in complex systems has been the driver behind much of the work that has previously been accomplished in the area of state space pruning including analytical [6], [7], [8] and PIS based [9], [10], [
11
] techniques...
...based upon models given by [18], [6], [7] and has previously been described in [9], [10], [
11
]...
...The details of the implementation of all PIS algorithms used regarding state space pruning and some discussion regarding them can be found in [9], [10], [
11
]...
...Detail regarding this implementation can be found in [9], [10], [
11
]...
Robert C. Green II
,
et al.
Intelligent and parallel state space pruning for power system reliabil...
...The model used here is based upon models given in [9]–[11] and has previously been described in [12]–[
14
]...
Robert C. Green II
,
et al.
Evaluating the impact of Plugin Hybrid Electric Vehicles on composite...
References
(20)
PopulationBased Intelligent Search in Reliability Evaluation of Generation Systems With Wind Power Penetration
(
Citations: 21
)
Lingfeng Wang
,
Chanan Singh
Journal:
IEEE Transactions on Power Systems  IEEE TRANS POWER SYST
, vol. 23, no. 3, pp. 13361345, 2008
Role of Artificial Intelligence in the Reliability Evaluation of Electric Power Systems
(
Citations: 11
)
Chanan SINGH
,
Lingfeng WANG
Published in 2008.
State space pruning for power system reliability evaluation using genetic algorithms
(
Citations: 8
)
Robert C. Green II
,
Lingfeng Wang
,
Chanan Singh
Conference:
Power Engineering Society, IEEE General Meeting  PES
, pp. 16, 2010
Evaluation of loss of load probability for power systems using intelligent search based state space pruning
(
Citations: 7
)
Robert C. Green II
,
Zhu Wang
,
Lingfeng Wang
,
Mansoor Alam
,
C. Singhy
Conference:
International Conference on Probabilistic Methods Applied to Power Systems  PMAPS
, 2010
State space pruning for reliability evaluation using binary particle swarm optimization
(
Citations: 4
)
Robert C. Green II
,
Lingfeng Wang
,
Mansoor Alam
,
Chanan Singh
Conference:
Power Systems Conference and Exposition, PSCE, IEEE  PES
, 2011
Sort by:
Citations
(5)
An examination of artificial immune system optimization in intelligent state space pruning for LOLP estimation
Robert C. Green II
,
Lingfeng Wang
,
Mansoor Alam
,
Chanan Singh
,
Soma Shekara Sreenadh Reddy Depuru
Conference:
North American Power Symposium, 2009  NAPS
, 2011
Intelligent state space pruning using multiobjective PSO for reliability analysis of composite power systems: Observations, analyses, and impacts
Robert C. Green II
,
Lingfeng Wang
,
Mansoor Alam
,
Chanan Singh
Conference:
Power Engineering Society, IEEE General Meeting  PES
, pp. 18, 2011
Intelligent and parallel state space pruning for power system reliability analysis using MPI on a multicore platform
Robert C. Green II
,
Lingfeng Wang
,
Mansoor Alam
,
Chanan Singh
Conference:
Innovative Smart Grid Technologies  ISGT
, 2011
Evaluating the impact of Plugin Hybrid Electric Vehicles on composite power system reliability
Robert C. Green II
,
Lingfeng Wang
,
Mansoor Alam
,
Soma Shekara Sreenadh Reddy Depuru
Conference:
North American Power Symposium, 2009  NAPS
, 2011
Composite power system reliability evaluation using support vector machines on a multicore platform
Robert C. Green II
,
Lingfeng Wang
,
Mansoor Alam
Conference:
International Symposium on Neural Networks  ISNN
, pp. 25862592, 2011