Abstract
Transformerless grid-connected PVs are more economical and efficient compared to transformer connected PVs; however, in this type of connection high leakage current flows between the PV arrays and the grid due to the parasitic capacitances of the system. This leakage current is one of the main culprits in causing electromagnetic interference in power system, saturation of distribution transformers and poses safety issues. Common mode voltage (CMV) is primarily responsible for the existence of this leakage current. To cope with issues which arise from omitting galvanic isolation (transformer), in this paper a predictive direct power control (PDPC) with reduced common voltage (CMV) called active zero predictive direct power control (AZ-PDPC) is proposed. Both theory and simulation show that the proposed method reduces the level of CMV along with general good performance. The proposed method's characteristics are compared with the PDPC technique.
| Original language | English |
|---|---|
| Title of host publication | 2016 IEEE Electrical Power and Energy Conference, EPEC 2016 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9781509019199 |
| DOIs | |
| Publication status | Published - 5 Dec 2016 |
| Externally published | Yes |
| Event | 2016 IEEE Electrical Power and Energy Conference, EPEC 2016 - Ottawa, Canada Duration: 12 Oct 2016 → 14 Oct 2016 |
Publication series
| Name | 2016 IEEE Electrical Power and Energy Conference, EPEC 2016 |
|---|
Conference
| Conference | 2016 IEEE Electrical Power and Energy Conference, EPEC 2016 |
|---|---|
| Country/Territory | Canada |
| City | Ottawa |
| Period | 12/10/16 → 14/10/16 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- Common mode voltage
- leakage current
- predictive direct power control model
- reduced common mode voltage PWM
- transformerless grid-connected PV
ASJC Scopus subject areas
- Energy Engineering and Power Technology
- Renewable Energy, Sustainability and the Environment
- Control and Optimization
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