Three-phase Optimal Power Flow for Smart Grids by Iterative Nonsmooth Optimization

Y. Shi, H.D. Tuan, A. V. Savkin

Abstract

Optimal power flow is important for operation and planning of smart grids. The paper considers the so called unbalanced thee-phase optimal power flow problem (TOPF) for smart grids, which involves multiple quadratic equality and indefinite quadratic inequality constraints to model the bus interconnections, hardware capacity and balance between power demand and supply. The existing Newton search based or interior point algorithms are often trapped by a local optimum while semidefinite programming relaxation (SDR) even fails to locate a feasible point. Following our previously developed nonsmooth optimization approach, computational solution for TOPF is provided. Namely, an iterative procedure for generating a sequence of improved points that converges to an optimal solution, is developed. Simulations for TOPF in unbalanced distributed networks are provided to demonstrate the practicability and efficiency of our approach.

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Paper Citation


in Harvard Style

Shi Y., Tuan H. and V. Savkin A. (2017). Three-phase Optimal Power Flow for Smart Grids by Iterative Nonsmooth Optimization . In Proceedings of the 6th International Conference on Smart Cities and Green ICT Systems - Volume 1: SMARTGREENS, ISBN 978-989-758-241-7, pages 323-328. DOI: 10.5220/0006365803230328


in Bibtex Style

@conference{smartgreens17,
author={Y. Shi and H.D. Tuan and A. V. Savkin},
title={Three-phase Optimal Power Flow for Smart Grids by Iterative Nonsmooth Optimization},
booktitle={Proceedings of the 6th International Conference on Smart Cities and Green ICT Systems - Volume 1: SMARTGREENS,},
year={2017},
pages={323-328},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006365803230328},
isbn={978-989-758-241-7},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 6th International Conference on Smart Cities and Green ICT Systems - Volume 1: SMARTGREENS,
TI - Three-phase Optimal Power Flow for Smart Grids by Iterative Nonsmooth Optimization
SN - 978-989-758-241-7
AU - Shi Y.
AU - Tuan H.
AU - V. Savkin A.
PY - 2017
SP - 323
EP - 328
DO - 10.5220/0006365803230328