Internal Model based PID Tuning of a Phase-Shift Control in a Single-Phase Bidirectional Dual Active Bridge DC-DC Converter
Abstract
The integration of renewable energy sources as grid-following units and taking part in having a major share in generation with no rotational inertia can lead to frequency instabilities. The concept of virtual inertia algorithm to maintain the stability of the power system by emulating a synchronous generator in the control structure has attracted attentions. However, a technique to quantify the virtual moment of inertia based on the stability requirements of the power system is still not available. Whereas, the passive maps in the interaction of a three-phase inverter with a synchronous generator in an isolated microgrid invokes the law of conservation of energy to solve the modeling problem. In this paper, a scheme of energy balance equation between a synchronous machine and a three phase inverter has been selected to give a quantifiable method to adaptively measure the virtual moment of inertial as a control parameter. The validation of the proposed method has been verified through the implementation of the control structure in a Hardware-in-the-Loop testbench in different scenarios.
Recommended Citation
S. Yazdani et al., "Internal Model based PID Tuning of a Phase-Shift Control in a Single-Phase Bidirectional Dual Active Bridge DC-DC Converter," Proceedings of the 2020 IEEE Energy Conversion Congress and Exposition, pp. 5966 - 5970, Institute of Electrical and Electronics Engineers (IEEE), Oct 2020.
The definitive version is available at https://doi.org/10.1109/ECCE44975.2020.9236216
Meeting Name
2020 IEEE Energy Conversion Congress and Exposition, ECCE )2020: Oct. 11-15, Virtual)
Department(s)
Electrical and Computer Engineering
International Standard Book Number (ISBN)
978-172815826-6
Document Type
Article - Conference proceedings
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2020 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.
Publication Date
30 Oct 2020