Application Strategies of Model Predictive Control for the Design and Operations of Renewable Energy-Based Microgrid: A Survey

In recent times, Microgrids (MG) have emerged as solution approach to establishing resilient power systems. However, the integration of Renewable Energy Resources (RERs) comes with a high degree of uncertainties due to heavy dependency on weather conditions. Hence, improper modeling of these uncerta...

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Bibliographic Details
Published in:Electronics (Basel) 2022-02, Vol.11 (4), p.554
Main Authors: Konneh, Keifa Vamba, Adewuyi, Oludamilare Bode, Lotfy, Mohammed Elsayed, Sun, Yanxia, Senjyu, Tomonobu
Format: Article
Language:English
Subjects:
Algorithms
Alternative energy
Clean technology
Communication
Control algorithms
Control stability
Distributed generation
Energy industry
Energy resources
Energy sources
Energy storage
Environmental impact
Fossil fuels
Generators
Power supply
Predictive control
Renewable energy
Renewable resources
Robust control
Systems stability
Uncertainty
Weather
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Summary:In recent times, Microgrids (MG) have emerged as solution approach to establishing resilient power systems. However, the integration of Renewable Energy Resources (RERs) comes with a high degree of uncertainties due to heavy dependency on weather conditions. Hence, improper modeling of these uncertainties can have adverse effects on the performance of the microgrid operations. Due to this effect, more advanced algorithms need to be explored to create stability in MGs’. The Model Predictive Control (MPC) technique has gained sound recognition due to its flexibility in executing controls and speed of processors. Thus, in this review paper, the superiority of MPC to several techniques used to model uncertainties is presented for both grid-connected and islanded system. It highlights the features, strengths and incompetencies of several modeling methods for MPCs and some of its variants regarding handling of uncertainties in MGs. This survey article will help researchers and model developers to come up with more robust model predictive control algorithms and techniques to cope with the changing nature of modern energy systems, especially with the increasing level of RERs penetration.
ISSN:2079-9292
2079-9292
DOI:10.3390/electronics11040554