Document Type : Research paper
Authors
1
Teacher, Termiz University of Economics and Service, Farovon street 4-b, Termez, Surxondaryo, Uzbekistan
2
Professor, Scientific and Practical Center of Immunology, Allergology and Human Genomics, Samarkand State Medical University, Samarkand, Uzbekistan
3
Kimyo international university in Tashkent, Tashkent, Uzbekistan
4
Fergana State Technical University, Fergana, Uzbekistan
5
Associate Professor of the Department of Use of Hydromelioration Systems, Tashkent Institute of Irrigation and Agricultural Mechanization Engineers, National Research University, Tashkent, Uzbekistan & Western Caspian University,
6
PhD, Associate professor, Tashkent state transport university, 100167 Tashkent, Uzbekistan
7
Teacher, Department of “Architecture”, Urgench State University, Urgench, Uzbekistan
8
PhD, Associate Professor, Mamun university, 220912 Khiva, Khorezm, Uzbekistan.
10.22098/joape.2025.18921.2472
Abstract
The increasing significance of renewable energy sources has led to a growing penetration of distributed generation units in distribution systems. This not only offers numerous economic benefits but also enables energy supply in islanded microgrid operation. In islanded mode, an effective load shedding scheme is crucial to maintain frequency balance and voltage stability within acceptable limits. This paper presents novel load shedding criteria, considering the impact of wind power integration and its inherent uncertainty in microgrids. Given the short electrical distances in microgrids, reactive power balance is of particular importance. Accordingly, the proposed load shedding method employs a combination of frequency and voltage criteria. The required amount of load shedding is determined through transient stability examination, and the load shedding process is implemented using an Adaptive Neuro-Fuzzy Inference System (ANFIS) in the microgrid. Simulation results demonstrate the effectiveness of the proposed method in load shedding and maintaining the stability of the microgrid. Specifically, by jointly exploiting frequency, voltage, and wind-speed information within an ANFIS framework trained from detailed transient stability studies, the proposed scheme is capable of preventing severe frequency drops and voltage instability under uncertain wind power generation. Furthermore, by quantifying the impact of including voltage as an ANFIS input, the study shows that the proposed microgrid-oriented design can reduce unnecessary load shedding and improve the economic performance of the system.
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