Abstract
Hydrokinetic turbines (HKTs) hold great promise as a renewable energy source, but high maintenance costs and limited energy output hinder their widespread adoption. The lack of comprehensive research on HKT drivetrain designs creates a knowledge gap in enhancing generation efficiency and cost reduction. A model of the HKT system with a focus on electric drivetrains and power converters is required to address this knowledge gap. This paper first introduces a MATLAB-averaged model integrating electrical-mechanical-thermal domains and aging behaviors within multi-time frames. Then a PLECS model, which incorporates maximum power point tracking and dq reference framed control for AC-DC-AC power converters, is enriched by a dynamic thermal model to predict fast transients accurately. These models optimize the design at the component level, resulting in improved integrated system performance. Furthermore, the validation of the models is carried out through hardware experiments for the averaged model and hardware-in-the-loop testing for the dynamic model.
Original language | American English |
---|---|
Pages | 245-251 |
Number of pages | 7 |
DOIs | |
State | Published - 2023 |
Event | Energy Conversion Congress and Expo (IEEE-ECCE) - Nashville, Tennessee, USA. Duration: 29 Oct 2023 → 2 Nov 2023 |
Conference
Conference | Energy Conversion Congress and Expo (IEEE-ECCE) |
---|---|
City | Nashville, Tennessee, USA. |
Period | 29/10/23 → 2/11/23 |
NREL Publication Number
- NREL/CP-5400-88813
Keywords
- current energy
- electric drivetrain
- hydrokinetic turbine
- lifetime
- multiphysics modeling
- power converters
- thermal