Dynamic modeling, stability analysis and control of interconnected microgrids: A review

This paper reviews concepts of interconnected microgrids (IMGs) as well as compare and classify their modeling, stability analysis, and control methods. To develop benefits of isolated microgrids (MGs) such as reliability improvement and their renewable energy integration, they should be interconnected, share power, support the voltage/frequency of overloaded MGs, etc. Despite maximizing their benefits and decreasing weaknesses of isolated MGs, IMGs require maintaining stability in different operation modes and employing appropriate control methods. Moreover, a basic requirement for stability analysis and controller design is system modeling. Since many articles have addressed these topics on IMGs from different views, a comparison is necessary. Therefore, IMG dynamic modeling methods are classified and their main features and challenges are discussed. Then, stability analysis and control methods of IMGs are reviewed and compared. The provided review is supported by conceptual diagrams, classification tables, off-line and real-time simulations using MATLAB and OPAL-RT simulator for comparison. Furthermore, a data set is provided to study fundamentals as well as research gaps, which are addressed for future works.

Automated summary

This paper reviews concepts and methods related to interconnected microgrids (IMGs), including modeling, stability analysis, and control. The benefits of interconnecting microgrids are highlighted, such as improved reliability and renewable energy integration. However, maintaining stability and employing suitable control methods are important for maximizing these benefits. The paper provides a comparison of dynamic modeling methods, as well as a review and comparison of stability analysis and control methods for IMGs. The review is supported by diagrams, tables, and simulations using MATLAB and OPAL-RT.