The article reviews current Distributed Power Flow Load (DPFL) methods, underscoring the importance of numerical comparison in optimizing their effectiveness. It assesses existing experiments conducted on transmission and distribution grids, highlighting performance variations influenced by factors like multicollinearity, zero predictor applicability, and normalization. The analysis shows the necessity for comprehensive evaluations across diverse conditions to improve the reliability and efficiency of DPFL applications. Emphasizing the gaps in prior studies, the article advocates for future research to enhance methodologies for better applicability in real-world cases.
Through an extensive review of existing DPFL experiments, we highlight the necessity for a comprehensive numerical comparison of all DPFL methods to identify effective strategies.
The evaluation of DPFL methods across various factors, such as multicollinearity and normalization, emphasizes how different scenarios impact their applicability and overall performance.
#distributed-power-flow-load #numerical-comparison #grid-evaluation #methodologies #electrical-engineering
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