TY - JOUR
T1 - Energy Management System Optimization in Islanded Microgrids
T2 - An Overview and Future Trends
AU - Raya-Armenta, José Maurilio
AU - Bazmohammadi, Najmeh
AU - Avina-Cervantes, Juan Gabriel
AU - Saez, Doris
AU - Vasquez, Juan C.
AU - Guerrero, Josep M.
PY - 2021
Y1 - 2021
N2 - Islanded microgrids (IMGs) provide a promising solution for reliable and environmentally friendly energy supply to remote areas and off-grid systems. However, the operation management of IMGs is a complex task including the coordination of a variety of distributed energy resources and loads with an intermittent nature in an efficient, stable, reliable, robust, resilient, and self-sufficient manner. In this regard, the energy management system (EMS) of IMGs has been attracting considerable attention during the last years, especially from the economic and emissions point of view. This paper provides an in-depth overview of the EMS optimization problem of IMGs by systematically analyzing the most representative studies. According to the state-of-the-art, the optimization of energy management of IMGs has six main aspects, including framework, time-frame, uncertainty handling approach, optimizer, objective function, and constraints. Each of these aspects is discussed in detail and an up-to-date overview of the existing EMSs for IMGs and future trends is provided. The future trends include the need for improved models, advanced data analytic and forecasting techniques, performance assessment of real-time EMSs in the whole MG’s control hierarchy, fully effective decentralized EMSs, improved communication and cyber security systems, and validations under real conditions. Besides, a comprehensive overview of the widely-used heuristic optimization methods and their application in EMSs of IMGs as well as their advantages and disadvantages are given. It is hoped that this study presents a solid starting point for future researches to improve the EMS of IMGs.
AB - Islanded microgrids (IMGs) provide a promising solution for reliable and environmentally friendly energy supply to remote areas and off-grid systems. However, the operation management of IMGs is a complex task including the coordination of a variety of distributed energy resources and loads with an intermittent nature in an efficient, stable, reliable, robust, resilient, and self-sufficient manner. In this regard, the energy management system (EMS) of IMGs has been attracting considerable attention during the last years, especially from the economic and emissions point of view. This paper provides an in-depth overview of the EMS optimization problem of IMGs by systematically analyzing the most representative studies. According to the state-of-the-art, the optimization of energy management of IMGs has six main aspects, including framework, time-frame, uncertainty handling approach, optimizer, objective function, and constraints. Each of these aspects is discussed in detail and an up-to-date overview of the existing EMSs for IMGs and future trends is provided. The future trends include the need for improved models, advanced data analytic and forecasting techniques, performance assessment of real-time EMSs in the whole MG’s control hierarchy, fully effective decentralized EMSs, improved communication and cyber security systems, and validations under real conditions. Besides, a comprehensive overview of the widely-used heuristic optimization methods and their application in EMSs of IMGs as well as their advantages and disadvantages are given. It is hoped that this study presents a solid starting point for future researches to improve the EMS of IMGs.
KW - Challenges
KW - Energy management system
KW - Future trends
KW - Heuristic algorithm
KW - Islanded
KW - Isolated
KW - Main aspects
KW - Main features
KW - Microgrid
KW - Off-grid
KW - Optimization
KW - Overview
KW - Standalone
UR - http://www.scopus.com/inward/record.url?scp=85109141363&partnerID=8YFLogxK
U2 - 10.1016/j.rser.2021.111327
DO - 10.1016/j.rser.2021.111327
M3 - Journal article
SN - 1364-0321
VL - 149
JO - Renewable & Sustainable Energy Reviews
JF - Renewable & Sustainable Energy Reviews
M1 - 111327
ER -