A comparison of distributed optimal power flow algorithms

We present an approach to parallelizing optimal power flow (OPF) that is suitable for coarse-grained distributed implementation and is applicable to very large interconnected power systems. The proposed distributed scheme can be used to coordinate a heterogeneous collection of utilities. Three mathe...

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Bibliographic Details
Published in:IEEE transactions on power systems 2000-05, Vol.15 (2), p.599-604
Main Authors: Kim, B.H., Baldick, R.
Format: Article
Language:English
Subjects:
Communication system control
Economic forecasting
Environmental economics
Load flow
Parallel processing
Power generation economics
Power system control
Power system economics
Power systems
SCADA systems
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Summary:We present an approach to parallelizing optimal power flow (OPF) that is suitable for coarse-grained distributed implementation and is applicable to very large interconnected power systems. The proposed distributed scheme can be used to coordinate a heterogeneous collection of utilities. Three mathematical decomposition coordination methods are introduced to implement the proposed distributed scheme: the auxiliary problem principle (APP), the predictor-corrector proximal multiplier method (PCPM), and the alternating direction method (ADM). We demonstrate the approach on several medium size systems, including IEEE Test Systems and parts of the ERCOT (Electric Reliability Council of Texas) system.
ISSN:0885-8950
1558-0679
DOI:10.1109/59.867147