A MIMO Self-Tuning Data-Driven Control Application for Power Electronic Converters Robustness Operation

Author(s)

dos Santos, Lucas E. ; Huaman, Jesus F. ; Queiroz, Eliabe D. ; Dotta, Daniel ; Pomilio, Jose A.

• Document type: Journal article
• Source: 2024 IEEE 9TH SOUTHERN POWER ELECTRONICS CONFERENCE, SPEC; v. N/A, p. 7-pg., 2024-01-01.

Abstract

Islanded microgrids, characterized by limited energy generation capacity and low inertia due to renewable sources based on power electronic converters, face significant challenges. These challenges include significant frequency and voltage deviations that can lead to microgrid collapse. This work proposes an enhanced approach to the data-driven control algorithm using the traditional multivariable (MIMO) Virtual Reference Feedback Tuning (VRFT) technique applied to power electronic converter sources. This method focuses on optimizing proportional and integral control with a reduced set of measured data samples to follow the dynamic performance prescription defined by the designer. The effectiveness of the data-driven control feasibility is certified through control hardware-in-the-loop (CHIL) simulation. (AU)

• FAPESP's process: 18/07375-3 - Power system operation with high penetration of low inertia generation
• Grantee: Daniel Dotta
• Support Opportunities: Scholarships abroad - Research
• FAPESP's process: 19/10033-0 - Development of data-driven metodology for improvement of pperation of EPS with high penetration of wind/solar generation
• Grantee: Daniel Dotta
• Support Opportunities: Regular Research Grants
• FAPESP's process: 21/11258-5 - Engineering Research Center for the Aerial Mobility of the Future (ERC-AMF)
• Grantee: Domingos Alves Rade
• Support Opportunities: Research Grants - Research Centers in Engineering Program
• FAPESP's process: 16/08645-9 - Interdisciplinary research activities in electric smart grids
• Grantee: João Bosco Ribeiro do Val
• Support Opportunities: Research Projects - Thematic Grants