A Comparison of Algorithms for Computing Power Generating System Reliability Indices

Mazumdar,; Gaver,

doi:10.1109/mper.1984.5525436

Cited by 14 publications

(3 citation statements)

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“…If it is, then store the individual into set A, and record its occurrence probability. P k is the original occurrence probability of individual k, which can be calculated by (10).…”

Section: Methods Of Issp Based On the Improved Edamentioning

confidence: 99%

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Fast reliability evaluation method for composite power system based on the improved EDA and double cross linked list

Liu

Cheng

et al. 2017

IET Generation Trans & Dist

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To improve the computational efficiency of Monte Carlo simulation in composite power systems reliability evaluation, this study presents a method based on the improved estimation of distribution algorithm (EDA) and double cross linked list. Compared to traditional techniques, this method is comprehensively improved in the stage of both sampling and state evaluation. In the sampling stage, the population‐based incremental learning algorithm is presented, where the probability vector is updated based on the distribution characteristics of excellent samples in population of previous generations. Meanwhile, setting a limit to the probabilities of elements in normal state and mutation strategy are introduced, which improves the excellent characteristics of the population. In the state evaluation stage, the state search and match process is speed up by utilising the intelligent storage technology based on the double across linked list. It avoids calling the optimal power flow for the same state repeatedly. Finally, the proposed method is tested in IEEE RTS 79. As the result shows, compared with other methods ever used in reliability evaluation, this method is not only more efficient in computation but also more accurate. Thus, the proposed method is proved to be reliable and effective.

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“…If it is, then store the individual into set A, and record its occurrence probability. P k is the original occurrence probability of individual k, which can be calculated by (10).…”

Section: Methods Of Issp Based On the Improved Edamentioning

confidence: 99%

“…Despite all this, it is still difficult to efficiently construct the optimal probability distribution of the system state because of the fact that a large number of training samples are needed and this process costs a lot of time. Hence, it is difficult to make further promotion for the method [10].…”

Section: Introductionmentioning

confidence: 99%

Fast reliability evaluation method for composite power system based on the improved EDA and double cross linked list

Liu

Cheng

et al. 2017

IET Generation Trans & Dist

View full text Add to dashboard Cite

show abstract

“…The probability determination (i.e. the evaluation of the area under the probability density curve) is now being made on the central part of the shifted distribution where the normal distribution should give good estimates [17]. The final step consists of compensating for the artificial displacement.…”

Section: Large-deviation Methodsmentioning

confidence: 99%

Evaluation of the marginal outage costs in generating systems using quantitative power system reliability techniques

Ghajar¹

1998

Qual. Reliab. Engng. Int.

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Marginal outage costs are an important component of electricity spot prices. This paper describes a methodology based on quantitative power system reliability techniques for calculating these costs in generating systems. The proposed method involves the calculation of the incremental expected unserved energy at a given operating reserve and lead time and the multiplication of this value by the average cost of unserved energy of the generating system. The method is illustrated in this paper by calculating the marginal outage cost profile of a small reliability test system. The effects of selected modelling assumptions and the accuracy of a number of approximate methods for calculating the marginal outage cost are also examined.

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A generalized cumulant method for generation capacity reliability evaluation

Alavi-Serashki

Singh

1992

Electric Power Systems Research

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A Comparison of Algorithms for Computing Power Generating System Reliability Indices

Cited by 14 publications

References 0 publications

Fast reliability evaluation method for composite power system based on the improved EDA and double cross linked list

Fast reliability evaluation method for composite power system based on the improved EDA and double cross linked list

Evaluation of the marginal outage costs in generating systems using quantitative power system reliability techniques

A generalized cumulant method for generation capacity reliability evaluation

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