DocumentCode :
267588
Title :
Convex relaxations and linear approximation for optimal power flow in multiphase radial networks
Author :
Lingwen Gan ; Low, Steven H.
Author_Institution :
Eng. & Appl. Sci. Div., California Inst. of Technol., Pasadena, CA, USA
fYear :
2014
fDate :
18-22 Aug. 2014
Firstpage :
1
Lastpage :
9
Abstract :
Distribution networks are usually multiphase and radial. To facilitate power flow computation and optimization, two semidefinite programming (SDP) relaxations of the optimal power flow problem and a linear approximation of the power flow are proposed. We prove that the first SDP relaxation is exact if and only if the second one is exact. Case studies show that the second SDP relaxation is numerically exact and that the linear approximation obtains voltages within 0.0016 per unit of their true values for the IEEE 13, 34, 37, 123-bus networks and a real-world 2065-bus network.
Keywords :
approximation theory; convex programming; distribution networks; load flow; IEEE 123-bus networks; IEEE 13-bus networks; IEEE 34-bus networks; IEEE 37-bus networks; convex relaxations; distribution networks; linear approximation; multiphase radial networks; optimal power flow problem; power flow computation; power flow optimization; real-world 2065-bus network; semidefinite programming relaxations; Computational modeling; Linear approximation; Load flow; Numerical stability; Programming; Silicon; Standards;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power Systems Computation Conference (PSCC), 2014
Conference_Location :
Wroclaw
Type :
conf
DOI :
10.1109/PSCC.2014.7038399
Filename :
7038399
Link To Document :
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