Probabilistic Power Flow Analysis Based on Partial Least Square and Arbitrary Polynomial Chaos Expansion

Autor:	Sermsak Uatrongjit, Jirasak Laowanitwattana
Rok vydání:	2022
Předmět:	Polynomial Nonlinear system Electric power system Surrogate model Polynomial chaos Probabilistic logic Energy Engineering and Power Technology Applied mathematics Power-flow study Electrical and Electronic Engineering Random variable Mathematics
Zdroj:	IEEE Transactions on Power Systems. 37:1461-1470
ISSN:	1558-0679 0885-8950
Popis:	This paper presents a new algorithm based on thepartial least square (PLS) techniques and the arbitrary polynomial chaos expansion (aPCE) for the probabilistic power flow (PPF) analysis of a power system having many uncertain variables. The proposed method uses the nonlinear PLS to transform a set of random input variables to a smaller number of de-correlated random variables. Then, the aPCE technique is applied to generate the basis polynomial functions and build a surrogate model of the power system response. The algorithm has been implemented and tested with the modified IEEE 118-bus and European 1354-bus systems. The numerical results indicate that, similar to the sparse PCE method and the low-rank approximation technique, the proposed method can be applied to high-dimensional PPF problems. Nonetheless, the proposed approach uses smaller computation time, and estimates statistical characteristics of the response with higher accuracy.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::d1f5c5bc59300e392a9287a46e831dac https://doi.org/10.1109/tpwrs.2021.3099110 Zobrazit plný text záznamu