Model based Predictive Control for Frequency Support in Multi-Port Autonomous Reconfigurable Solar Plants
Abstract
Primary frequency support functionality can be an added advantage for any new grid integrated power electronics resource. With increased penetration of power electronics resources, inertial and primary frequency response capabilities are decreasing. In this research paper, an advanced model-based predictive control (MBPC) algorithm for providing frequency support to a new topology of integrated photovoltaic(PV), batterybased energy storage systems (ESS), and high-voltage direct current (HV dc) systems called multi-port autonomus reconfigurable solar (MARS) plants is based on the synchronverter-based control. The simulation of MARS-HV dc system with proposed control strategy is simulated and validated for MARS connected to low short circuit ratio (SCR) grids in PSCAD/EMTDC simulation environment. The control algorithm proposed showcases better performance in terms of frequency nadir improvement and frequency steady state improvemnt with respect to no frequency control.
Recommended Citation
P. R. Marthi et al., "Model based Predictive Control for Frequency Support in Multi-Port Autonomous Reconfigurable Solar Plants," Proceedings of the 2021 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference (2021, Washington, DC), article no. 9372172, Institute of Electrical and Electronics Engineers (IEEE), Feb 2021.
The definitive version is available at https://doi.org/10.1109/ISGT49243.2021.9372172
Meeting Name
2021 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2021 (2021: Feb. 16-18, Washington, DC)
Department(s)
Electrical and Computer Engineering
Keywords and Phrases
HVdc; MMC; MPC; Synchronoverter; VSG
International Standard Book Number (ISBN)
978-172818897-3
Document Type
Article - Conference proceedings
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2021 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.
Publication Date
18 Feb 2021