Multiple matrix rank constrained optimization for optimal power flow over large scale transmission networks

Publication Type:
Conference Proceeding
Citation:
SMARTGREENS 2016 - Proceedings of the 5th International Conference on Smart Cities and Green ICT Systems, 2016, pp. 384 - 389
Issue Date:
2016-01-01
Full metadata record
© Copyright 2016 by SCITEPRESS - Science and Technology Publications, Lda. All rights reserved. The optimal power flow (OPF) problem for power transmission networks is an NP-hard optimization problem with numerous quadratic equality and indefinite quadratic inequality constraints on bus voltages. The existing nonlinear solvers often fail in yielding a feasible solution. In this paper, we follow our previously developed nonsmooth optimization approach to address this difficult large-scale OPF problem, which is an iterative process to generate a sequence of improved solutions that converge to an optimal solution. Each iteration calls an SDP of a moderate dimension. Intensive simulations for OPF over networks with a large number of buses are provided to demonstrate the efficiency of our approach.
Please use this identifier to cite or link to this item: