Nonlinear identification approach for black-box modeling of voltage source converter harmonic characteristics
Research output: Contribution to book/conference proceedings/anthology/report › Conference contribution › Contributed › peer-review
Contributors
Abstract
The future of power grids is expected to face a surge in the number of power electronics devices connected to it. This increases the possibility of resonances occurring due to harmonic current injections which is known the harmonic instability. In order to further study this phenomenon, models which are both capable of capturing the harmonic characteristics of the power electronic devices and are computationally inexpensive need to be developed. In this paper a Hammerstein-Wiener identification approach is proposed to develop a black box model for a voltage source converter which is capable of meeting such requirements. The approach is implemented in a simulation environment and then tested on a commercial photo-voltaic inverter for validation.
Details
Original language | English |
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Title of host publication | 2020 IEEE Electric Power and Energy Conference, EPEC 2020 |
Publication status | Published - 9 Nov 2020 |
Peer-reviewed | Yes |
Conference
Title | 2020 IEEE Electric Power and Energy Conference, EPEC 2020 |
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Duration | 9 - 10 November 2020 |
City | Edmonton |
Country | Canada |
External IDs
ORCID | /0000-0001-8439-7786/work/142244132 |
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ORCID | /0000-0001-5338-7649/work/142255871 |
Keywords
Sustainable Development Goals
ASJC Scopus subject areas
Keywords
- Black-Box Modeling, Harmonic Instability, Nonlinear Identification, Power Electronics, Voltage Source Converter