Power hardware-in-the-loop simulation (PHILS) of photovoltaic power generation using real-time simulation techniques and power interfaces
Source abstract
Abstract
Abstract Power hardware-in-the-loop simulation (PHILS) has been introduced to its rapid prototyping and accurate testing under various load and interface conditions for power electronics applications. Real-time simulation with advancements in computing technologies can effectively support the PHILS to improve the computation speed of complex target systems converted to electrical and mathematical models. In this paper, advancements of optimized model constructions for a single crystalline photovoltaic (PV) panel are built up for the PHILS with a real-time simulator in the view points of improving dynamic model accuracy and boosting the computation speed. The dynamic model accuracy is one of significant performance factors of the PHILS which should show the dynamic performance of the simulation model during elaborate emulations of the power hardware. In addition, several considerations for the PHILS system such as system configuration and communication are provided to electrically emulate the PV panel with power hardware interfaces. The effectiveness of the proposed PHILS developed on Opal RT's RT-Lab real-time engineering simulator based on Matlab/Simulink is experimentally verified using a prototype PHILS system.
Source: openaire · Quality: candidate unverified · Source record ↗
Research context
OpenAlex topics: Real-time simulation and control systems · Photovoltaic System Optimization Techniques · Radiation Effects in Electronics
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
References (28)
Show source-provided references
1. Beltran · IEEE Trans. Ind. Electron. · 2013 · 60 · 122510.1109/TIE.2012.2202353 ↗
2. Ahadi · J. Power Sources · 2014 · 264 · 21110.1016/j.jpowsour.2014.04.041 ↗
3. Garcia · J. Power Sources · 2014 · 265 · 14910.1016/j.jpowsour.2014.04.118 ↗
4. Jung · IEEE Trans. Ind. Electron. · 2011 · 58 · 421710.1109/TIE.2010.2098365 ↗
5. Blanchette · IEEE Trans. Ind. Electron. · 2012 · 59 · 455510.1109/TIE.2011.2182021 ↗
6. Mahmoud · IEEE Trans. Ind. Electron. · 2013 · 60 · 570810.1109/TIE.2012.2230606 ↗
7. Cubas · J. Power Sources · 2014 · 247 · 46710.1016/j.jpowsour.2013.09.008 ↗
8. Peng · J. Power Sources · 2014 · 248 · 62110.1016/j.jpowsour.2013.07.058 ↗
9. R.W. Hornbeck. New Jersey: Prentice-Hall. 1975. Chap. 5.
10. Can · 2012 · vol. 1 · 1
11. Jain · Sol. Energy Mater. Sol. Cells · 2006 · 90 · 2510.1016/j.solmat.2005.01.007 ↗
12. Batzelis · IEEE Trans. Sustain. Energy · 2014 · 5 · 30110.1109/TSTE.2013.2282168 ↗
13. Petrone · Sol. Energy Mater. Sol. Cells · 2007 · 91 · 165210.1016/j.solmat.2007.05.021 ↗
14. Ding · Sol. Energy Mater. Sol. Cells · 2008 · 92 · 156610.1016/j.solmat.2008.07.004 ↗
15. de Brito · IEEE Trans. Ind. Electron. · 2013 · 60 · 115610.1109/TIE.2012.2198036 ↗
16. Koran · IEEE Trans. Power Electron. · 2014 · 29 · 128510.1109/TPEL.2013.2262297 ↗
17. Mather · 2013 · vol. 1 · 1
18. Konig · IEEE Trans. Ind. Electron. · 2014 · 61 · 94310.1109/TIE.2013.2253070 ↗
19. Steurer · IEEE Trans. Ind. Electron. · 2010 · 57 · 125410.1109/TIE.2009.2036639 ↗
20. Lee · IEEE Trans. Power Electron. · 2013 · 28 · 594910.1109/TPEL.2013.2256799 ↗
21. Hasanzadeh · IEEE Trans. Ind. Electron. · 2014 · 61 · 310910.1109/TIE.2013.2279128 ↗
22. Zaranek · 2012
23. 2013
24. Sukamongkol · Renew. Energy · 2002 · 27 · 23710.1016/S0960-1481(02)00002-2 ↗
25. Ypma · SIAM · 1995 · 37 · 53110.1137/1037125 ↗
26. Jain · Sol. Energy Mater. Sol. Cells · 2004 · 81 · 26910.1016/j.solmat.2003.11.018 ↗
27. Davis · 2002 · vol. 1 · 1642
28. Gil-Arias · 2008 · vol. 1 · 1