Journal ArticleDOI
Model predictive control of microgrids – An overview
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TLDR
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.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.read more
Citations
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Robust Model Predictive Control Paradigm for Automatic Voltage Regulators against Uncertainty Based on Optimization Algorithms
Mahmoud Elsisi,Minh-Quang Tran,Hany M. Hasanien,Rania A. Turky,Fahad Albalawi,Sherif S. M. Ghoneim +5 more
TL;DR: In this paper, a robust model predictive controller (MPC) is proposed to operate an automatic voltage regulator (AVR) to handle the uncertainty issue of the AVR parameters.
Journal ArticleDOI
A review on recent developments in control and optimization of micro grids
TL;DR: In this article , a literature review on the different control structure of MGs is presented, where different levels of hierarchical control are discussed along with the control strategies of integrating various renewable energy resources in MGs.
Journal ArticleDOI
A Comprehensive Review of Control Strategies and Optimization Methods for Individual and Community Microgrids
TL;DR: In this paper , a comprehensive review of single objective and multi-objective optimization methods is performed by considering the practical and technical constraints, uncertainty, and intermittency of renewable energies sources.
Journal ArticleDOI
State of the Art of Low and Medium Voltage Direct Current (DC) Microgrids
Maria Fotopoulou,Dimitrios C. Rakopoulos,Dimitrios Trigkas,Fotis Stergiopoulos,Orestis Blanas,Spyros Voutetakis +5 more
TL;DR: The aim of this review is to highlight the possibilities provided by DC MG architectures as well as the necessity for a solid/inclusive regulatory framework, which is their main weakness.
References
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Journal ArticleDOI
Overview of Control and Grid Synchronization for Distributed Power Generation Systems
TL;DR: An overview of the structures for the DPGS based on fuel cell, photovoltaic, and wind turbines is given and the possibility of compensation for low-order harmonics is discussed.
Journal ArticleDOI
Hierarchical control of droop-controlled DC and AC microgrids — a general approach towards standardization
TL;DR: The hierarchical control derived from ISA-95 and electrical dispatching standards to endow smartness and flexibility to MGs is presented and results are provided to show the feasibility of the proposed approach.
Book
Model Predictive Control
TL;DR: In this article, the authors present a model predictive controller for a water heating system, which is based on the T Polynomial Process (TOP) model of the MPC.
Journal ArticleDOI
Control of Power Converters in AC Microgrids
TL;DR: In this paper, a detailed analysis of the main operation modes and control structures for power converters belonging to micro-grids is carried out, focusing mainly on grid-forming, grid-feeding, and grid-supporting configurations.
Journal ArticleDOI
Trends in Microgrid Control
Daniel E. Olivares,Ali Mehrizi-Sani,Amir H. Etemadi,Claudio A. Canizares,Reza Iravani,Mehrdad Kazerani,Amir H. Hajimiragha,Oriol Gomis-Bellmunt,Maryam Saeedifard,Rodrigo Palma-Behnke,Guillermo Jimenez-Estevez,Nikos Hatziargyriou +11 more
TL;DR: The major issues and challenges in microgrid control are discussed, and a review of state-of-the-art control strategies and trends is presented; a general overview of the main control principles (e.g., droop control, model predictive control, multi-agent systems).