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.

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Publication Details

Published
2024-12-04
DOI
https://doi.org/10.1109/spies63782.2024.10982769
Citations
1
Primary Topic
Energy Load and Power Forecasting
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article
Field-Weighted Citation Impact
0.21
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article

Development of an Enhanced Performance Model Reference Adaptive System for Speed Estimation of Standalone PMSG Wind-Generating Systems

Fayez F. M. El-Sousy, Mahmoud F. Elmorshedy, Dhafer Almakhles, Mahmoud M. Amin et al.
1 citations
Energy Load and Power Forecasting
0.21
article

Development of an Enhanced Performance Model Reference Adaptive System for Speed Estimation of Standalone PMSG Wind-Generating Systems

Fayez F. M. El-Sousy, Mahmoud F. Elmorshedy, Dhafer Almakhles, Mahmoud M. Amin, Mahajan Sagar Bhaskar, Aleena Jacob
article en
1 citations

Abstract

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.

Prince Sultan University (SA), Prince Sattam Bin Abdulaziz University (SA), Manhattan University (US)
Affordable and clean energy
Openalex Percentile: Top 43%
Energy Load and Power Forecasting
0.21
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