Probabilistic load flow by a multilinear simulation algorithm
Leite da Silva, A.M.
Arienti, V.L.
Ontario Hydro Res. Div., Toronto, Ont.;
This paper appears in: Generation, Transmission and Distribution, IEE Proceedings C
Publication Date: Jul 1990
Volume: 137,
Issue: 4
On page(s): 276-282
ISSN: 0143-7046
References Cited: 11
CODEN: IPPDDA
INSPEC Accession Number: 3735438
Current Version Published: 2002-08-06
Abstract
Load flow analysis is undoubtedly the most useful method of
designing and operating power systems. The input data necessary for
these studies are best described by random variables, considering the
probabilistic nature of loads, generation and networks. The effects of
uncertainties on the steady-state behaviour of power systems can be
evaluated by a stochastic or probabilistic load flow (PLF) analysis. The
authors present a new method for obtaining the PLF solution, by
combining Monte Carlo simulation techniques and linearised power flow
equations for different system load levels. The performance of the
proposed algorithm is illustrated through the IEEE 14-busbar test
system, and also through its application in part of the Brazilian
network
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