Bibliography on power system probabilistic analysis (1962-88)

Schilling, M.T.; Silva, Armando M. Leite da; Billinton, R.; El‐Kady, M. A.

doi:10.1109/59.49079

Cited by 111 publications

(35 citation statements)

References 5 publications

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“…The investigation of power system uncertainties was proposed in the early seventies [2,3]. As yet, many probabilistic methods have been proposed to study on the uncertain power systems.…”

Section: Introductionmentioning

confidence: 99%

Probabilistic optimal power flow in correlated hybrid wind-PV power systems: A review and a new approach

Aien

Rashidinejad

Firuzabad

2015

Renewable and Sustainable Energy Reviews

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“…The investigation of power system uncertainties was proposed in the early seventies [2,3]. As yet, many probabilistic methods have been proposed to study on the uncertain power systems.…”

Section: Introductionmentioning

confidence: 99%

Probabilistic optimal power flow in correlated hybrid wind-PV power systems: A review and a new approach

Aien

Rashidinejad

Firuzabad

2015

Renewable and Sustainable Energy Reviews

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“…One effective approach is to evaluate the reliability of power systems qualitatively and examine how cost and reliability are affected by capacity investment and system operation. Studies of the quantitative evaluation of power system reliability based on a probabilistic approach have been performed mainly in Europe and the United States [1][2][3]. In Japan, some studies in this area have been reported in recent years [4][5][6][7], but their number is relatively small.…”

Section: Introductionmentioning

confidence: 99%

Development of power system reliability analysis program with consideration of system operation

et al. 2005

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SUMMARYThis paper describes a new program which analyzes the reliability of composite power systems with consideration of power system operational aspects. It uses the sequential Monte Carlo method and calculates annual risk indices for each load point. The program deals with the system problems involved in load flow, voltage, frequency, and small-signal stability if necessary. The distinctive feature of the program is consideration of power system operation in a sequential manner, such as generation dispatch and system restoration after equipment failure. This makes possible the evaluation of both power system planning and operation from the reliability point of view.

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“…The literature concerning uncertainty analyses in power systems is vast (see the bibliographies in [1]- [7]). The referenced books and papers cover a range of topics, many related to statistical reliability studies.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of Uncertainty in Dynamic Simulations of Power System Models: The Probabilistic Collocation Method

Hockenberry

Lesieutre

2004

IEEE Trans. Power Syst.

156

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Abstract-This paper explores the use of a new technique, the probabilistic collocation method (PCM), to enable the evaluation of uncertainty in power system simulations. The PCM allows the uncertainty in transient behavior of power systems to be studied using only a handful of simulations. The relevant theory is outlined here and simple examples are used to illustrate the application of PCM in a power systems setting. In addition, an index for identification of key uncertain parameters, as well as an example with a more realistic power system, are presented.

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Bibliography on power system probabilistic analysis (1962-88)

Cited by 111 publications

References 5 publications

Probabilistic optimal power flow in correlated hybrid wind-PV power systems: A review and a new approach

Probabilistic optimal power flow in correlated hybrid wind-PV power systems: A review and a new approach

Development of power system reliability analysis program with consideration of system operation

Evaluation of Uncertainty in Dynamic Simulations of Power System Models: The Probabilistic Collocation Method

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