Development of an Enhanced Performance Model Reference Adaptive System for Speed Estimation of Standalone PMSG Wind-Generating Systems
This paper discusses a speed estimation approach that eliminates the need for mechanical sensors to measure the speed of Permanent Magnet Synchronous Generators (PMSGs), commonly utilized in stand-alone power generation systems. The method described utilizes a sensorless technique stemming from an adaptive model reference system (MRAS) to estimate speed. The proposed system includes a wind turbine, switching rectifier, battery storage system, PMSG, bidirectional converter, LC filter, voltage source inverter (VSI), and a three-phase load. Its three primary objectives are to achieve maximum power point tracking (MPPT), regulate the DC link voltage, and preserve a constant magnitude and frequency of the output load voltage. The MRAS not only estimates the PMSG speed but also provides feedback for the MPPT control loop, employing a flow-chain approach. The success of the suggested control strategy and system is validated through various simulations and experiments, which demonstrate the reliability of the estimation method and control approach.
Authors
- Fayez F. M. El-Sousy (ORCID: https://orcid.org/0000-0001-9780-8249)
- Mahmoud F. Elmorshedy (ORCID: https://orcid.org/0000-0001-7900-4351)
- Dhafer Almakhles (ORCID: https://orcid.org/0000-0002-5165-0754)
- Mahmoud M. Amin (ORCID: https://orcid.org/0000-0001-8675-4249)
- Mahajan Sagar Bhaskar
- Aleena Jacob
Institutions
- Prince Sultan University (SA)
- Prince Sattam Bin Abdulaziz University (SA)
- Manhattan University (US)
Publication Details
- Published
- 2024-12-04
- DOI
- https://doi.org/10.1109/spies63782.2024.10982769
- Citations
- 1
- Primary Topic
- Energy Load and Power Forecasting
- Type
- article
- Field-Weighted Citation Impact
- 0.21