Optimization-Based Network Reduction for Transmission Systems via Community Detection
Mokhtari, Omid
Mokhtari, Omid
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Abstract
Addressing the escalating complexity of electrical networks with myriad components, nodes, and connections poses significant computational and analytical challenges. Building upon the foundations laid by the "Opti-Kron" model, our research introduces an advanced Mixed Integer Linear Programming (MILP) based algorithm for optimal network reduction, tailored for power flow studies in complex electrical networks. A key innovation in our approach is the incorporation of Community Detection techniques to cluster the network targeted for reduction. This strategy allows us to apply the network reduction algorithm to each cluster separately, facilitating a unified and scalable solution for large networks.
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Graduate
Date
2024-01-01