An analytical approach to probabilistic uncertainly and sensitivity analysis (for power systems)

Esa Peltola; Juhani Rouvali

An analytical approach to probabilistic uncertainly and sensitivity analysis (for power systems)

Esa Peltola, Juhani Rouvali

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

Abstract

An analytical method, called APUA, to calculate the properties of an algebraic function of random variables in a power system is presented. The principle of the method is briefly described and compared to other techniques. Two examples of application are presented. The results are compared to those given by Monte Carlo simulation and first-order Taylor series. The method seems to give reasonable results and it can be used to estimate the total uncertainty caused by many variables or by a subset of them.

Original language	English
Title of host publication	3rd International Conference on Probabilistic Methods Applies to Electric Power Systems
Publisher	IEEE Institute of Electrical and Electronic Engineers
Pages	261-266
ISBN (Print)	978-0-85296-513-9
Publication status	Published - 1991
MoE publication type	A4 Article in a conference publication
Event	3rd International Conference on Probabilistic Methods Applies to Electric Power Systems - London, United Kingdom Duration: 3 Jul 1991 → 5 Jul 1991

Conference

Conference	3rd International Conference on Probabilistic Methods Applies to Electric Power Systems
Country/Territory	United Kingdom
City	London
Period	3/07/91 → 5/07/91

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Cite this

@inproceedings{ea50cf9cf96544139ee82ef126cc9605,

title = "An analytical approach to probabilistic uncertainly and sensitivity analysis (for power systems)",

abstract = "An analytical method, called APUA, to calculate the properties of an algebraic function of random variables in a power system is presented. The principle of the method is briefly described and compared to other techniques. Two examples of application are presented. The results are compared to those given by Monte Carlo simulation and first-order Taylor series. The method seems to give reasonable results and it can be used to estimate the total uncertainty caused by many variables or by a subset of them.",

author = "Esa Peltola and Juhani Rouvali",

note = "Project code: S{\"A}H1305; 3rd International Conference on Probabilistic Methods Applies to Electric Power Systems ; Conference date: 03-07-1991 Through 05-07-1991",

year = "1991",

language = "English",

isbn = "978-0-85296-513-9",

pages = "261--266",

booktitle = "3rd International Conference on Probabilistic Methods Applies to Electric Power Systems",

publisher = "IEEE Institute of Electrical and Electronic Engineers",

address = "United States",

}

Peltola, E & Rouvali, J 1991, An analytical approach to probabilistic uncertainly and sensitivity analysis (for power systems). in 3rd International Conference on Probabilistic Methods Applies to Electric Power Systems. IEEE Institute of Electrical and Electronic Engineers, pp. 261-266, 3rd International Conference on Probabilistic Methods Applies to Electric Power Systems, London, United Kingdom, 3/07/91. <https://ieeexplore.ieee.org/document/151859>

An analytical approach to probabilistic uncertainly and sensitivity analysis (for power systems). / Peltola, Esa; Rouvali, Juhani.
3rd International Conference on Probabilistic Methods Applies to Electric Power Systems. IEEE Institute of Electrical and Electronic Engineers, 1991. p. 261-266.

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

TY - GEN

T1 - An analytical approach to probabilistic uncertainly and sensitivity analysis (for power systems)

AU - Peltola, Esa

AU - Rouvali, Juhani

N1 - Project code: SÄH1305

PY - 1991

Y1 - 1991

N2 - An analytical method, called APUA, to calculate the properties of an algebraic function of random variables in a power system is presented. The principle of the method is briefly described and compared to other techniques. Two examples of application are presented. The results are compared to those given by Monte Carlo simulation and first-order Taylor series. The method seems to give reasonable results and it can be used to estimate the total uncertainty caused by many variables or by a subset of them.

AB - An analytical method, called APUA, to calculate the properties of an algebraic function of random variables in a power system is presented. The principle of the method is briefly described and compared to other techniques. Two examples of application are presented. The results are compared to those given by Monte Carlo simulation and first-order Taylor series. The method seems to give reasonable results and it can be used to estimate the total uncertainty caused by many variables or by a subset of them.

M3 - Conference article in proceedings

SN - 978-0-85296-513-9

SP - 261

EP - 266

BT - 3rd International Conference on Probabilistic Methods Applies to Electric Power Systems

PB - IEEE Institute of Electrical and Electronic Engineers

T2 - 3rd International Conference on Probabilistic Methods Applies to Electric Power Systems

Y2 - 3 July 1991 through 5 July 1991

ER -

An analytical approach to probabilistic uncertainly and sensitivity analysis (for power systems)

Abstract

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