1 research outputs found
Feature- and Structure-Preserving Network Reduction for Large-Scale Transmission Grids
Many countries are currently challenged with the extensive integration of
renewable energy sources, which necessitates vast capacity expansion measures.
These measures in turn require comprehensive power flow studies, which are
often computationally highly demanding. In this work a reduction strategy for
large-scale grid models is introduced which not only reduces the model
complexity but also preserves the structure and designated grid features. The
objective is to ensure that areas crucial to the behavior and the relation of
all elements to their physical counterparts remain unchanged. This is
accomplished through a specifically designed reduction method for suitable
areas identified through topological, electrical and market-based approaches
for which we provide an open-source implementation. We show that the proposed
strategy adapts to various models and accomplishes a strong reduction of buses
and branches while retaining a low dispatch and branch flow deviation.
Furthermore, the accuracy of the reduction generalizes well to other scenarios.Comment: 13th IEEE PowerTech Conference 201