Control of Three-Phase Grid-Connected Microgrids using Artificial Neural Networks

Shuhui Li, Xingang Fu, Ishan Jaithwa, Eduardo Alonso, Michael Fairbank, Donald C. Wunsch

2015

Abstract

A microgrid consists of a variety of inverter-interfaced distributed energy resources (DERs). A key issue is how to control DERs within the microgrid and how to connect them to or disconnect them from the microgrid quickly. This paper presents a strategy for controlling inverter-interfaced DERs within a microgrid using an artificial neural network, which implements a dynamic programming algorithm and is trained with a new Levenberg-Marquardt backpropagation algorithm. Compared to conventional control methods, our neural network controller exhibits fast response time, low overshoot, and, in general, the best performance. In particular, the neural network controller can quickly connect or disconnect inverter-interfaced DERs without the need for a synchronization controller, efficiently track fast-changing reference commands, tolerate system disturbances, and satisfy control requirements at grid-connected mode, islanding mode, and their transition.

Paper Citation

in Harvard Style

Li S., Fu X., Jaithwa I., Alonso E., Fairbank M. and C. Wunsch D. (2015). Control of Three-Phase Grid-Connected Microgrids using Artificial Neural Networks . In Proceedings of the 7th International Joint Conference on Computational Intelligence - Volume 3: NCTA, (ECTA 2015) ISBN 978-989-758-157-1, pages 58-69. DOI: 10.5220/0005607900580069

in Bibtex Style

@conference{ncta15,
author={Shuhui Li and Xingang Fu and Ishan Jaithwa and Eduardo Alonso and Michael Fairbank and Donald C. Wunsch},
title={Control of Three-Phase Grid-Connected Microgrids using Artificial Neural Networks},
booktitle={Proceedings of the 7th International Joint Conference on Computational Intelligence - Volume 3: NCTA, (ECTA 2015)},
year={2015},
pages={58-69},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005607900580069},
isbn={978-989-758-157-1},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 7th International Joint Conference on Computational Intelligence - Volume 3: NCTA, (ECTA 2015)
TI - Control of Three-Phase Grid-Connected Microgrids using Artificial Neural Networks
SN - 978-989-758-157-1
AU - Li S.
AU - Fu X.
AU - Jaithwa I.
AU - Alonso E.
AU - Fairbank M.
AU - C. Wunsch D.
PY - 2015
SP - 58
EP - 69
DO - 10.5220/0005607900580069