Performance Analysis of an Electromagnetic Frequency Regulator under Parametric Variations for Wind System Applications

• Published in: Energies (Basel) Vol. 15; no. 8; p. 2873
• Main Authors: do Nascimento, Thiago F., Nunes, Evandro A. D. F., Villarreal, Elmer R. L., Pinheiro, Ricardo F., Salazar, Andrés O.
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01-04-2022
• Subjects: Alternative energy sources; Control systems design; Controllers; Design techniques; Distributed generation; Dynamic characteristics; Dynamic models; Electric generators; Electricity distribution; electromagnetic frequency regulator; Energy sources; Energy storage; Mathematical models; Parameter sensitivity; performance analysis; Renewable energy sources; root-locus method; Sensitivity analysis; Simulation; Theoretical analysis; Turbines; Variation
• ISSN: 1996-1073; 1996-1073
• DOI: 10.3390/en15082873

The electromagnetic frequency regulator (EFR) device has proven to be an attractive solution for driving grid-connected electrical generators in distributed generation (DG) systems based on renewable energy sources (RES). However, the dynamic characteristic of the EFR has not yet been discussed for cases where its parameters vary from the nominal values. To evaluate this issue, this paper proposes a method for transient and steady-state performance analysis applied to the EFR device considering parametric variations. To perform this analysis, a dynamic model of the EFR device is derived, and its dynamic characteristics are discussed. Based on this model, the system’s controller gains are designed by using the root-locus method (RLM) to obtain the desired dynamic performance. Then, a sensitivity analysis of the closed-loop poles under the effect of parameters variation is performed. In addition, the paper also presents an analysis of the EFR-based system operating with the designed controllers. The proposed theoretical analysis is assessed using simulation and experimental results. The simulation program was developed using a Matlab/Simulink platform, while the experimental results were obtained through a laboratory setup emulating the EFR-based system.