Digital LCR Instrument Oriented Wind Driven Power Control
- DOI
- 10.2991/ipemec-15.2015.119How to use a DOI?
- Keywords
- distributed generation; grid-connected inverter; multi-mode switch; predictive power control
- Abstract
With respect to the multi-state and multi-objective optimization problem of renewable energy grid-connection inverter system, this paper came up with a multi-mode predictive power control method to grid-connection inverter system, which established the discrete predictive model for island model and grid-connected model respectively and completed online self-matching of value function according to changes of system objective. The value function was established based on control objective that assure the quality of power supply voltage for local load under island power supply mode and indicated that the system switch would be optimal when minimum value of value function was taken. Besides, a rapid and accurate synchronous control method for power grid voltage was introduced to assure the smooth grid-connection and operation of inverter system. As for power-connected generation mode, control objective was converted to rapid and high accuracy tracking of system power. Finally, performance verification to control method proposed would be carried out based on 55kw grid-connected inverter prototype of renewable energy. The experiment results showed that the method could effectively improve the dynamic stability of grid-connected system and secure the electric energy quality at the access point of grid-connected system under island and power-connected mode.
- Copyright
- © 2015, 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 - Weijia Zhang AU - Wenxia Liu AU - Shengli Sun PY - 2015/05 DA - 2015/05 TI - Digital LCR Instrument Oriented Wind Driven Power Control BT - Proceedings of the 2015 International Power, Electronics and Materials Engineering Conference PB - Atlantis Press SP - 644 EP - 648 SN - 2352-5401 UR - https://doi.org/10.2991/ipemec-15.2015.119 DO - 10.2991/ipemec-15.2015.119 ID - Zhang2015/05 ER -