Dynamic Operation and Control of a Stand-Alone Wind/PV/Diesel Energy Systems

DOI

10.2991/iccnce.2013.175How to use a DOI?

Keywords

photovoltaic power system, wind power system, radial basis function network, modified Elman neural network, maximum power point tracking, diesel-engine.

Abstract

This paper presents the dynamic operation and control strategies of a hybrid wind/photovoltaic/diesel based power supply system for stand-alone applications. Wind and PV power are the primary power sources of the system to take full advantages of renewable energy, and the diesel-engine is used as a backup system. To achieve a fast and stable response for the real power control, the intelligent controller consists of a Radial Basis Function Network and an modified Elman Neural Network for maximum power point tracking.

Copyright

© 2013, 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  - CongHui Huang
AU  - ChihMing Hong
AU  - ChungChi Huang
AU  - JhengHan Lin
AU  - BoYan Shi
AU  - ChuanSing Jhuang
PY  - 2013/07
DA  - 2013/07
TI  - Dynamic Operation and Control of a Stand-Alone Wind/PV/Diesel Energy Systems
BT  - Proceedings of the International Conference on Computer, Networks and Communication Engineering (ICCNCE 2013)
PB  - Atlantis Press
SP  - 706
EP  - 708
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccnce.2013.175
DO  - 10.2991/iccnce.2013.175
ID  - Huang2013/07
ER  -