Abstract
Current source inverter (CSI) is a family of power converters which has been recently investigated for photovoltaic power conversion in grid-tied operation, due to the inherent boost capability and ease of control. This paper assess Photovoltaic three-phase Current Source Inverters by two different CSI topologies and space vector modulation commutation strategies. Different CSI solutions are therefore analyzed by means of numerical simulations and the results are compared in terms of ground leakage current and THD of the injected grid currents. Extensive simulation results show that the CSI7 topology can improve the common mode performance while at the same time increasing the efficiency of the conventional CSI, at the price of a negligible added complexity.
| Original language | English |
|---|---|
| Title of host publication | Proceedings IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 4221-4226 |
| Number of pages | 6 |
| ISBN (Electronic) | 9781538611272 |
| DOIs | |
| Publication status | Published - 15 Dec 2017 |
| Event | 43rd Annual Conference of the IEEE Industrial Electronics Society, IECON 2017 - Beijing, China Duration: 29 Oct 2017 → 1 Nov 2017 |
Publication series
| Name | Proceedings IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society |
|---|---|
| Volume | 2017-January |
Conference
| Conference | 43rd Annual Conference of the IEEE Industrial Electronics Society, IECON 2017 |
|---|---|
| Country/Territory | China |
| City | Beijing |
| Period | 29/10/17 → 1/11/17 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Free Keywords
- current source inverter
- ground leakage current
- photo-voltaic power systems
- renewable energy sources
ASJC Scopus subject areas
- Energy Engineering and Power Technology
- Electrical and Electronic Engineering
- Industrial and Manufacturing Engineering
- Control and Optimization
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