Small-Signal Stability Enhancement Through Integration of Distributed Grid-Forming Loads Considering Multi-Agent Collaboration

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dc.contributor.authorNgamroo, Issarachai
dc.contributor.authorSurinkaew, Tossaporn
dc.contributor.authorMitani, Yasunori
dc.date.accessioned2026-08-06T10:50:09Z
dc.date.available2026-08-06T10:50:09Z
dc.date.issued2025-01-01
dc.description.abstractThe integration of distributed controllable loads in future islanding microgrids (MGs) is growing. This creates new opportunities to actively shape grid frequency and voltage. As a result, it leads to the development of distributed grid-forming loads (DGFM-Ls). Simultaneously, it is equally crucial to ensure robustness, particularly in preserving small-signal stability amid the multi-agent collaboration. This paper presents a strategy for the small-signal stability enhancement in islanding MGs with DGFM-Ls. The small-signal models of the MG with DGFM-Ls are mathematically developed and analyzed. The multi-agent cooperation is modelled to improve the small-signal stability of the MG with DGFM-Ls. Additionally, uncertainties from multi-agent cooperation, such as partial or complete lack of measured signal observability, are considered. Data quality issues are also taken into account under various conditions. Simulation results are conducted in a MG with a significant penetration of inverter-based resources under various MG operating points and conditions such as topology changes and unavailability of certain agents.
dc.identifier.citationIEEE Transactions on Power Systems, 40(6), 4424-4438, 2025
dc.identifier.doi10.1109/TPWRS.2025.3561231
dc.identifier.issn08858950
dc.identifier.other2-s2.0-105002818947
dc.identifier.urihttps://dspace.kmitl.ac.th/handle/123456789/16715
dc.sourceIEEE Transactions on Power Systems
dc.subjectDistributed grid-forming load
dc.subjectislanding microgrid
dc.subjectmulti-agent cooperation
dc.subjectsmall-signal stability
dc.subjectvoltage and frequency control
dc.titleSmall-Signal Stability Enhancement Through Integration of Distributed Grid-Forming Loads Considering Multi-Agent Collaboration
dc.typeArticle

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