Research on Neural Network Intimal Control of Wind-PV Hybrid Power System

DOI

10.2991/iceep-18.2018.12How to use a DOI?

Keywords

wind-solar complementation; power generation; neural network control

Abstract

This paper models and analyzes the photovoltaic power generation and wind power generation in the wind-solar hybrid generation system. A neural network inner membrane controller based on wind-solar hybrid power generation system is designed. The closed-loop control system is used to make the output power constant. The simulation results show that the neural network inner membrane controller is used to control the wind-solar hybrid power generation system. The operation is stable and reliable, and the effectiveness of the neural network inner membrane control system for wind-solar hybrid generation is verified.

Copyright

© 2018, 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  - Guangjun Ma
AU  - Bingbing Wu
PY  - 2018/09
DA  - 2018/09
TI  - Research on Neural Network Intimal Control of Wind-PV Hybrid Power System
BT  - Proceedings of the 2018 7th International Conference on Energy and Environmental Protection (ICEEP 2018)
PB  - Atlantis Press
SP  - 69
EP  - 73
SN  - 2352-5401
UR  - https://doi.org/10.2991/iceep-18.2018.12
DO  - 10.2991/iceep-18.2018.12
ID  - Ma2018/09
ER  -