Real-Time Stochastic Optimization of Complex Energy Systems on High-Performance Computers

A scalable approach computes in operationally-compatible time the energy dispatch under uncertainty for electrical power grid systems of realistic size with thousands of scenarios. The authors propose several algorithmic and implementation advances in their parallel solver PIPS-IPM for stochastic op...

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Bibliographic Details
Published in:	Computing in science & engineering Vol. 16; no. 5; pp. 32 - 42
Main Authors:	Petra, Cosmin G., Schenk, Olaf, Anitescu, Mihai
Format:	Journal Article
Language:	English
Published:	New York IEEE 01.09.2014 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Algorithms Computer Science continuation (homotopy) methods distributed programming Factorization Generators High performance computing Intervals Linear systems Mathematical models Multicore processing Optimization Power grids Power supply Real time Scalability scientific computing Solvers stochastic programming Stochasticity Symmetric matrices
ISSN:	1521-9615, 1558-366X
Online Access:	Get full text
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