TY - GEN
T1 - Development of an Enhanced Performance Model Reference Adaptive System for Speed Estimation of Standalone PMSG Wind-Generating Systems
AU - Amin, Mahmoud M.
AU - Jacob, Aleena
AU - Elmorshedy, Mahmoud F.
AU - El-Sousy, Fayez F.M.
AU - Bhaskar, M. S.
AU - Almakhles, Dhafer
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - 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.
AB - 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.
KW - isolated
KW - MPPT
KW - MRAS
KW - PMSG
KW - rectifier
KW - Sensorless
KW - switch mode rectifier
KW - wind generating system
UR - http://www.scopus.com/inward/record.url?scp=105007885914&partnerID=8YFLogxK
U2 - 10.1109/SPIES63782.2024.10982769
DO - 10.1109/SPIES63782.2024.10982769
M3 - Conference contribution
AN - SCOPUS:105007885914
T3 - 2024 6th International Conference on Smart Power and Internet Energy Systems, SPIES 2024
SP - 58
EP - 64
BT - 2024 6th International Conference on Smart Power and Internet Energy Systems, SPIES 2024
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 6th International Conference on Smart Power and Internet Energy Systems, SPIES 2024
Y2 - 4 December 2024 through 6 December 2024
ER -