Title | ||
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Droop Control With Improved Disturbance Adaption For A Pv System With Two Power Conversion Stages |
Abstract | ||
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Droop control has commonly been used with distributed generators for relating their terminal parameters with power generation. The generators have also been assumed to have enough capacities for supplying the required power. This is, however, not always true, especially with renewable sources with no or insufficient storage for cushioning climatic changes. In addition, most droop-controlled literatures have assumed a single dc-ac inverter with its input dc source fixed. Front-end dc-dc converter added to a two-stage photovoltaic (PV) system has, therefore, usually been ignored. To address these unresolved issues, an improved droop scheme for a two-stage PV system has been developed in this paper. The developed scheme uses the same control structure in both grid connected and islanded modes, which together with properly tuned synchronizers, allows mode transfer to be seamlessly triggered. Moreover, the proposed scheme adapts well with internal PV and external grid fluctuations, and is, hence, more precise with its tracking, as compared with the traditional droop scheme. Simulation and experimental results have verified these expectations, and, hence, the effectiveness of the proposed scheme. |
Year | DOI | Venue |
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2016 | 10.1109/TIE.2016.2580525 | IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS |
Keywords | Field | DocType |
Droop control, grid-connected mode, islanded mode, microgrid, photovoltaic (PV) system, seamless transfer | Grid-connected photovoltaic power system,Control theory,Power control,Maximum power point tracking,Electric power system,Control engineering,Electronic engineering,AC power,Engineering,Power optimizer,Photovoltaic system,Voltage droop | Journal |
Volume | Issue | ISSN |
63 | 10 | 0278-0046 |
Citations | PageRank | References |
4 | 0.47 | 11 |
Authors | ||
6 |
Name | Order | Citations | PageRank |
---|---|---|---|
Hongpeng Liu | 1 | 4 | 1.82 |
Poh Chiang Loh | 2 | 369 | 38.79 |
Xiongfei Wang | 3 | 32 | 11.47 |
Yongheng Yang | 4 | 30 | 15.47 |
Wei Wang | 5 | 18 | 4.75 |
DianGuo Xu | 6 | 22 | 30.76 |