Dynamic Operation and Control of a Stand-Alone Wind/PV/Diesel Energy Systems
Authors
CongHui Huang, ChihMing Hong, ChungChi Huang, JhengHan Lin, BoYan Shi, ChuanSing Jhuang
Corresponding Author
CongHui Huang
Available Online July 2013.
- 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/).
Cite this article
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 -