The microgrid has become a major research field in electrical power and energy systems. It integrates various emerging techniques and promotes advanced technology development in energy conversion, distribution, consumption, and system integration. The microgrid has evolved over time and featured new forms and novel techniques, such as DC networks, AC-DC hybrid networks, coupled multiple microgrid clusters, multi-energy microgrids with conversion among electricity, heat, cooling and chemical energy types, and high penetration of renewable power generation and flexible loads.
The grid evolution and technique developments have enhanced the performance of energy systems, and brought challenges to the grid operation and control as well. Among the issues, stability control is a fundamental and primary one, which involves equipment-system level fast dynamics and transients. The issue has prompted increasing research on microgrid characteristic analysis, control design and optimization, dynamic analytical methods, and transient simulation.
It is a challenge for the primary control of a microgrid to maintain system stability. Extensive use of converters, low inertia, flexible and fast control, uncertain and intermittent renewable power generation, etc., have changed the stability forms of microgrids and make the characteristics complicated. Related subjects include system stability mechanism and forms, control design and optimization, analytical methods for system dynamics and transients, system modeling, solution algorithms, as well as simulation methods and techniques.
The Research Topic welcomes research related to microgrids especially on the following topics: stability/primary control, dynamic analysis, and simulation of microgrids. Other topics of interest include but are not limited to:
• New types of stability besides stability forms in conventional power grids. For example, the transient stability of the transition from grid-connecting to islanding of microgrids.
• Primary control design and optimization. Primary control is used to guarantee system stability. Research on control objects, control structures, control strategies, and parameter design and optimization all fall into the research topic.
• Analytical approaches for dynamic analysis. The subject includes the direct methods of stability analysis, eigenvalue analysis, frequency domain analysis, index-based analysis, machine learning-based analysis, and so on.
• Dynamic and transient simulation of the microgrid. The subject includes system dynamic and transient stability, system-level behaviors following disturbances, control behaviors following contingency, etc.
• Relevant research involving development frontiers of microgrids are also expected and welcomed, such as modeling of DC and hybrid microgrids as well as multiple microgrid clusters, optimal operation of dynamically coupled devices in multi-energy microgrids, and advanced optimization methods with efficient solution algorithms.
The microgrid has become a major research field in electrical power and energy systems. It integrates various emerging techniques and promotes advanced technology development in energy conversion, distribution, consumption, and system integration. The microgrid has evolved over time and featured new forms and novel techniques, such as DC networks, AC-DC hybrid networks, coupled multiple microgrid clusters, multi-energy microgrids with conversion among electricity, heat, cooling and chemical energy types, and high penetration of renewable power generation and flexible loads.
The grid evolution and technique developments have enhanced the performance of energy systems, and brought challenges to the grid operation and control as well. Among the issues, stability control is a fundamental and primary one, which involves equipment-system level fast dynamics and transients. The issue has prompted increasing research on microgrid characteristic analysis, control design and optimization, dynamic analytical methods, and transient simulation.
It is a challenge for the primary control of a microgrid to maintain system stability. Extensive use of converters, low inertia, flexible and fast control, uncertain and intermittent renewable power generation, etc., have changed the stability forms of microgrids and make the characteristics complicated. Related subjects include system stability mechanism and forms, control design and optimization, analytical methods for system dynamics and transients, system modeling, solution algorithms, as well as simulation methods and techniques.
The Research Topic welcomes research related to microgrids especially on the following topics: stability/primary control, dynamic analysis, and simulation of microgrids. Other topics of interest include but are not limited to:
• New types of stability besides stability forms in conventional power grids. For example, the transient stability of the transition from grid-connecting to islanding of microgrids.
• Primary control design and optimization. Primary control is used to guarantee system stability. Research on control objects, control structures, control strategies, and parameter design and optimization all fall into the research topic.
• Analytical approaches for dynamic analysis. The subject includes the direct methods of stability analysis, eigenvalue analysis, frequency domain analysis, index-based analysis, machine learning-based analysis, and so on.
• Dynamic and transient simulation of the microgrid. The subject includes system dynamic and transient stability, system-level behaviors following disturbances, control behaviors following contingency, etc.
• Relevant research involving development frontiers of microgrids are also expected and welcomed, such as modeling of DC and hybrid microgrids as well as multiple microgrid clusters, optimal operation of dynamically coupled devices in multi-energy microgrids, and advanced optimization methods with efficient solution algorithms.
