Model predictive control of microgrids – An overview

By Jiefeng Hu, Yinghao Shan, Josep M. Guerrero, A. Ioinovici, K. Chan, José Raúl Rodríguez Rodríguez. 2021

396 citations recorded by the source corpus.

Abstract The development of microgrids is an advantageous option for integrating rapidly growing renewable energies. However, the stochastic nature of renewable energies and variable power demand have created many challenges like unstable voltage/frequency and complicated power management and interaction with the utility grid. Recently, predictive control with its fast transient response and flexibility to accommodate different constraints has presented huge potentials in microgrid applications. This paper provides a comprehensive review of model predictive control (MPC) in individual and interconnected microgrids, including both converter-level and grid-level control strategies applied to three layers of the hierarchical control architecture. This survey shows that MPC is at the beginning of the application in microgrids and that it emerges as a competitive alternative to conventional methods in voltage regulation, frequency control, power flow management and economic operation optimization. Also, some of the most important trends in MPC development have been highlighted and discussed as future perspectives.

Subfields: Control and Systems Engineering, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/f27e284bbaa2723d59a28e69ddaca1d3831e6290

Citations in the corpus

• A Review on Microgrids’ Challenges & Perspectives (2021, neutral): “Model predictive control The study examined model predictive control in independent and networked MGs, encompassing converter- and grid-level control algorithms performed on the hierarchical control structure [125].”