A comparative study of the speed control of an IM–based flywheel energy storage system using PI–DTC and RFOC strategies
-
Mohamed Mansour
,
Nabil Barhoumi
Abstract
This paper examines the modeling and speed–based control of an IM–based flywheel energy storage system (FESS) for integration with a variable wind generation system (VSWG) feeding an online isolated load at the DC bus level. Two traditional control strategies are considered for the FESS, rotor flux oriented control (RFOC) and direct torque control (DTC). Instead of controlling the IM torque directly, the proposed schemes control the measured speed of the FESS–IM to follow a reference value estimated from the required power compensation. Matlab/Simulink simulations show that the tracking performance of the two controllers is comparable.
Author contribution: All the authors have accepted responsibility for the entire content of this submitted manuscript and approved submission.
Research funding: None declared.
Conflict of interest statement: The authors declare no conflicts of interest regarding this article.
Appendix A: IM, flywheel, and DC bus parameters
Nominal power Pn = 1.5 kW. Nominal voltage Vn = 220/380V. Nominal rotational speed Ωn = 157 rad/s. Number of pole pairs p = 2. Stator resistance Rs = 5.72 Ω. Rotor resistance Rr = 4.2 Ω. Stator inductance Ls = 0.462 H. Rotor inductance Lr = 0.462 H. Mutual inductance M = 0.44 H. FESS inertia (Flywheel + IM) Jf = 2.43 kg.m2. Viscous friction coefficient
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© 2020 Walter de Gruyter GmbH, Berlin/Boston
Articles in the same Issue
- Frontmatter
- Research Articles
- Research on intelligent substation monitoring by image recognition method
- Design optimization of permanent magnet synchronous motor using Taguchi method and experimental validation
- Performance analysis of shunt active filter for harmonic compensation under various non-linear loads
- A neural network approach to detect winding faults in electrical machine
- Adaptive relay settings for distribution network with distributed generation (DG) using Sugeno fuzzy inference
- Research on fault clearing scheme for half-bridge modular multilevel converters high voltage DC based on overhead transmission lines
- A comparative study of the speed control of an IM–based flywheel energy storage system using PI–DTC and RFOC strategies
- Energy management of a microgrid using demand response strategy including renewable uncertainties
- Solar powered battery charging scheme for light electric vehicles (LEVs)
- Analysing integration issues of the microgrid system with utility grid network
Articles in the same Issue
- Frontmatter
- Research Articles
- Research on intelligent substation monitoring by image recognition method
- Design optimization of permanent magnet synchronous motor using Taguchi method and experimental validation
- Performance analysis of shunt active filter for harmonic compensation under various non-linear loads
- A neural network approach to detect winding faults in electrical machine
- Adaptive relay settings for distribution network with distributed generation (DG) using Sugeno fuzzy inference
- Research on fault clearing scheme for half-bridge modular multilevel converters high voltage DC based on overhead transmission lines
- A comparative study of the speed control of an IM–based flywheel energy storage system using PI–DTC and RFOC strategies
- Energy management of a microgrid using demand response strategy including renewable uncertainties
- Solar powered battery charging scheme for light electric vehicles (LEVs)
- Analysing integration issues of the microgrid system with utility grid network
