Abstract
Parallel operation of multiple grid-connected power converters through LCL filters is known to have the potential problem of triggering oscillations in the ac mains. Such oscillatory frequencies are not integral multiples of the fundamental frequency and, hence, form a new source of interharmonics. Early detection of such oscillations is essential for the parallel power converters to move out of the unstable zone. This paper presents an online observer-based algorithm that can perform fast detection of interharmonics within a specified frequency band. The algorithm has been adopted in a specific and reduced form from an integral observer algorithm for detection of fundamental and interharmonic voltage components in the ac mains. A new method based on the kernel signal for fast interharmonic detection is proposed and practically verified. It has been implemented in a digital controller to detect oscillations such as those occurring between two grid-connected power converters. The practical results indicate that the algorithm can locate such frequency within the specific frequency band within one mains cycle. © 1986-2012 IEEE.
| Original language | English |
|---|---|
| Pages (from-to) | 9318-9330 |
| Journal | IEEE Transactions on Power Electronics |
| Volume | 33 |
| Issue number | 11 |
| DOIs | |
| Publication status | Published - 1 Nov 2018 |
| Externally published | Yes |
Bibliographical note
Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].Funding
This work was supported in part by the Hong Kong Research Council under the Theme-Based Research Fund T23-701/14-N, and in part by the European Union’s Horizon 2020 research and innovation programme (KIOS CoE) under Grant 739551.
Research Keywords
- Active power filters
- fundamental extraction
- harmonics detection
- interharmonics detection
RGC Funding Information
- RGC-funded
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