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Modeling Microgrids for Analytical Distribution System Reliability Evaluation
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DOI：10.1109/TPWRS.2024.3354299.png)
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Abstract
En 中文
Focusing on the ability of microgrids (MGs) to provide a backup power supply to the distribution system in the event of main grid outages or disruptions, this article aims to propose a reliability model for self-controlled distributed energy resource-rich MGs from the perspective of the distribution system to which they are connected. To that end, the reliability model of MGs is derived using the Monte Carlo simulation approach and a mixed-integer linear programming-based model for optimal scheduling and resource management of MGs. An analytical framework for assessing the reliability of distribution systems in the presence of MGs is then developed by leveraging the proposed reliability model for MGs. Modeling and analyzing MGs using the proposed methodology result in the simplification and acceleration of computations associated with the reliability assessment of a distribution system including multiple MGs. The effectiveness and applicability of the proposed method are demonstrated through its implementation on a modified IEEE test system.
Keywords:
Reliability
Power system reliability
Reactive power
Computational modeling
Analytical models
Load modeling
Probabilistic logic
Distribution system
microgrid
monte carlo simulation
optimal scheduling
optimization
reliability evaluation
Journal
IF:
7.2
Papers:
1.1W
Citations:
5.0W