Three-phase optimal load flow model and algorithm for active distribution networks

Three-phase distribution network optimal load flow (T-OLF) cannot be exactly linearized to mixed integer second order cone programming(MI-SOCP) like single-phase branch flow based OLF. Hence, interior point based OLF (IP-OLF) and mixed integer nonlinear programming based OLF (MINLP-OLF) are both tri...

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Bibliographic Details
Published in:2017 IEEE Power & Energy Society General Meeting pp. 1 - 5
Main Authors: Yuntao Ju, Wenchuan Wu, Yi Lin, Fuchao Ge, Lin Ye
Format: Conference Proceeding
Language:English
Published: IEEE 01.07.2017
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ISSN:1944-9933
Online Access:Get full text
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Summary:Three-phase distribution network optimal load flow (T-OLF) cannot be exactly linearized to mixed integer second order cone programming(MI-SOCP) like single-phase branch flow based OLF. Hence, interior point based OLF (IP-OLF) and mixed integer nonlinear programming based OLF (MINLP-OLF) are both tried out to cope with T-OLF in this paper. For IP-OLF, a quadratic three-phase transformer model is proposed to guarantee IP-OLF applying constant Hessian matrix during iterative process. For MINLP-OLF, to gain better optimization results, a Mixed-Integer Quadratically-Constrained Quadratic Program model (MIQCQP) of T-OLF is formulated via binary scheme and big-M method. Numerical tests implemented on simple 4-bus system, IEEE 13-bus and IEEE 34-bus distribution test feeders verify the validity of proposed models and algorithms.
ISSN:1944-9933
DOI:10.1109/PESGM.2017.8274363