2014
DOI: 10.1049/iet-gtd.2013.0279
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Adaptive sequential importance sampling technique for short‐term composite power system adequacy evaluation

Abstract: The well-known sequential Monte Carlo simulation is a powerful tool to analyse short-term reliability of complicated composite power system. However, the corresponding computational burden is tremendous when applied to a highly reliable system. Aiming at improving the simulation efficiency, an adaptive importance sampling technology is proposed in this study. The proposed method, on the basis of component state duration sampling technique combined with cross-entropy method, is able to provide reliability evalu… Show more

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Cited by 24 publications
(16 citation statements)
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“…Given that the main objective of reliability evaluation is to investigate system reliability [65], the largest group mainly comprised investigation studies. They can be divided into two main trends, namely, investigating the effect of integrating a technology into a power system and investigating the impact of considering a new parameter in the reliability evaluation process.…”
Section: Investigation Studiesmentioning
confidence: 99%
See 2 more Smart Citations
“…Given that the main objective of reliability evaluation is to investigate system reliability [65], the largest group mainly comprised investigation studies. They can be divided into two main trends, namely, investigating the effect of integrating a technology into a power system and investigating the impact of considering a new parameter in the reliability evaluation process.…”
Section: Investigation Studiesmentioning
confidence: 99%
“…References [7,130,131] developed an evaluation technique based on cross-entropy methods. A novel adaptive importance sampling technique was obtained in [65] to improve the efficiency of short-term reliability evaluation.…”
Section: Studies On Evaluation Efficiency and Systemsmentioning
confidence: 99%
See 1 more Smart Citation
“…Recently, new derivatives of importance sampling method based on cross-entropy theory [12] are gaining ground in the area of power system adequacy reliability evaluations [13][14][15][16][17][18], and it has been found that simulation burdens, compared with conventional Monte Carlo methods in long-term planning applications, is greatly reduced both for composite system adequacy [16] and generating capacity evaluation [13][14][15]. Moreover, in the aspect of power system probabilistic short-term adequacy evaluation, two sequential importance sampling methods based on the cross-entropy theory [17,18] are developed to improve conventional sequential Monte Carlo methods.…”
Section: Introductionmentioning
confidence: 99%
“…Moreover, in the aspect of power system probabilistic short-term adequacy evaluation, two sequential importance sampling methods based on the cross-entropy theory [17,18] are developed to improve conventional sequential Monte Carlo methods. Although these cross-entropy-based importance sampling methods are efficient in moderate-dimensional problems, the unwieldy curse of dimensionality would arise when the traditional cross-entropy method is applied for a high-dimensional system with a plethora of random variables involved.…”
Section: Introductionmentioning
confidence: 99%