Mingyue Zhang, Yang Han, Yuxiang Liu, et al. Multi-Timescale Modeling and Dynamic Stability Analysis for Sustainable Microgrids: State-of-the-Art and Perspectives[J]. Protection and Control of Modern Power Systems, 2024, 9(3): 1-35.
DOI:
Mingyue Zhang, Yang Han, Yuxiang Liu, et al. Multi-Timescale Modeling and Dynamic Stability Analysis for Sustainable Microgrids: State-of-the-Art and Perspectives[J]. Protection and Control of Modern Power Systems, 2024, 9(3): 1-35.DOI: 10.23919/PCMP.2023.000317.
Multi-Timescale Modeling and Dynamic Stability Analysis for Sustainable Microgrids: State-of-the-Art and Perspectives
The increasing trend for integrating renewable energy sources into the grid to achieve a cleaner energy system is one of the main reasons for the development of sustainable microgrid (MG) technologies. As typical power-electronized power systems
MGs make extensive use of power electronics converters
which are highly controllable and flexible but lead to a profound impact on the dynamic performance of the whole system. Compared with traditional large-capacity power systems
MGs are less resistant to perturbations
and various dynamic variables are coupled with each other on multiple timescales
resulting in a more complex system in-stability mechanism. To meet the technical and economic challenges
such as active and reactive power-sharing
volt-age
and frequency deviations
and imbalances between power supply and demand
the concept of hierarchical control has been introduced into MGs
allowing systems to control and manage the high capacity of renewable energy sources and loads. However
as the capacity and scale of the MG system increase
along with a multi-timescale control loop design
the multi-timescale interactions in the system may become more significant
posing a serious threat to its safe and stable operation. To investigate the multi-timescale behaviors and instability mechanisms under dynamic inter-actions for AC MGs
existing coordinated control strategies are discussed
and the dynamic stability of the system is defined and classified in this paper. Then
the modeling and assessment methods for the stability analysis of multi-timescale systems are also summarized. Finally
an outlook and discussion of future research directions for AC MGs are also presented.
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