Reconfiguration of distribution network with DG based on Double perturbation mutation particle swarm optimization

DOI

10.2991/icreet-16.2017.57How to use a DOI?

Keywords

Gauss white noise, disturbance variation, distributed generation, distribution network reconfiguration.

Abstract

Due to the rise of distributed generation, it is very important to consider the impact of distributed generation in distribution network reconfiguration. To solve the problem, this paper uses the double perturbation mutation particle swarm optimization algorithm, which is to introduce the Gauss white noise disturbance into the particle swarm algorithm and introduce inertia weight of the dynamic change and sigmoid function to avoid the premature convergence. Through the analysis of the example, the results prove the feasibility of the improved algorithm, and indicate that appropriate position of distributed generator can reduce the network losses and improve the voltage.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Lan Zhang
AU  - Jian Zhang
PY  - 2017/03
DA  - 2017/03
TI  - Reconfiguration of distribution network with DG based on Double perturbation mutation particle swarm optimization
BT  - Proceedings of the 2016 4th International Conference on Renewable Energy and Environmental Technology (ICREET 2016)
PB  - Atlantis Press
SP  - 334
EP  - 338
SN  - 2352-5401
UR  - https://doi.org/10.2991/icreet-16.2017.57
DO  - 10.2991/icreet-16.2017.57
ID  - Zhang2017/03
ER  -