A NEW DISTRIBUTION SYSTEM RECONFIGURATION APPROACH USING PARTICLE SWARM OPTIMIZATION AND NEURAL NETWORK

M. W. Siti, B. P. Numbi, D. Nicolae

2011

Abstract

This paper uses artificial intelligent algorithms for reconfiguration of the distribution network. The problem is formulated as an optimization problem where the objective function to be minimized is the power losses, and the constraints are nodal voltage magnitude limits, branch current limits, Kirchhoff’s current law (KCL), Kirchhoff’s voltage law (KVL) and the network radiality condition. While the state (on-off) of the tie switch is considered as control or independent variable, the nodal voltage magnitude, branch current are considered as state or dependent variables. These state variables are continuous whilst the switch state is an integer (binary) variable. The problem being a mixed-integer programming one because of the state of switch (on=closed=1 or off=open=0), a Binary Particle Swarm Optimization (BPSO) and Neural Network are used separately to solve this problem. The effectiveness of proposed method is demonstrated through an example.

Paper Citation

in Harvard Style

W. Siti M., P. Numbi B. and Nicolae D. (2011). A NEW DISTRIBUTION SYSTEM RECONFIGURATION APPROACH USING PARTICLE SWARM OPTIMIZATION AND NEURAL NETWORK . In Proceedings of the International Conference on Neural Computation Theory and Applications - Volume 1: NCTA, (IJCCI 2011) ISBN 978-989-8425-84-3, pages 218-223. DOI: 10.5220/0003681902180223

in Bibtex Style

@conference{ncta11,
author={M. W. Siti and B. P. Numbi and D. Nicolae},
title={A NEW DISTRIBUTION SYSTEM RECONFIGURATION APPROACH USING PARTICLE SWARM OPTIMIZATION AND NEURAL NETWORK},
booktitle={Proceedings of the International Conference on Neural Computation Theory and Applications - Volume 1: NCTA, (IJCCI 2011)},
year={2011},
pages={218-223},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003681902180223},
isbn={978-989-8425-84-3},
}

in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Neural Computation Theory and Applications - Volume 1: NCTA, (IJCCI 2011)
TI - A NEW DISTRIBUTION SYSTEM RECONFIGURATION APPROACH USING PARTICLE SWARM OPTIMIZATION AND NEURAL NETWORK
SN - 978-989-8425-84-3
AU - W. Siti M.
AU - P. Numbi B.
AU - Nicolae D.
PY - 2011
SP - 218
EP - 223
DO - 10.5220/0003681902180223