| Issue |
MATEC Web of Conferences
Volume 55, 2016
2016 Asia Conference on Power and Electrical Engineering (ACPEE 2016)
|
|
|---|---|---|
| Article Number | 02002 | |
| Number of page(s) | 6 | |
| Section | Photovoltaic Systems and Control | |
| DOI | https://doi.org/10.1051/matecconf/20165502002 | |
| Published online | 25 April 2016 | |
Decentralized Control Strategy for PV Based DC Microgrid with Hybrid Storage
Department of Electrical Engineering, Indian Institute of Technology Kharagpur, 721302, West Bengal, India
a Corresponding author: i.biswas4@gmail.com
Due to the rapid development of power electronics technology and modernization of DC based loads, DC microgrids (DCMG) are becoming most attractive solution in terms of their increased efficiency and high power quality. However they face certain challenges like intermittency of renewable energy sources, limitations in dynamic behaviour of storage systems and various stability issues during islanding. Thus it is mandatory to select the DCMG components properly with a robust control strategy for power converters in order to maintain power balance despite of variation in source and load power in order maintain the system power quality. In this work, a DC bus signalling based decentralized control strategy is proposed for a PV based DCMG, which eliminates the risk associated with DC bus voltage fluctuation. Fuel cell is as an auxiliary power source along with solar PV and storage devices, reduces the possibility of black out and helps to increase system reliability. The proposed control strategy has been validated through MATLAB/Simulink based simulation studies for variable weather condition and load demand on DCMG system.
© Owned by the authors, published by EDP Sciences, 2016
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.