Power system reduction is the process of simplifying a large and complex electrical grid by replacing less critical parts of the system with reduced equivalent models, while accurately representing the portion of the system under study. This approach is widely used in time-domain and stability analyses, especially in modern power grids that include a high number of inverter-based resources (IBRs). Simulating the full detail of such systems is often computationally demanding, as distribution networks may contain thousands of elements across multiple feeders and substations. By applying network reduction techniques transmission system operators can significantly reduce simulation time while preserving the essential dynamic and static behavior needed for accurate analysis.
Classification of reduction techniques Power system reduction techniques can be grouped into two main categories: static and dynamic, each with distinct goals and applications.
Static reduction These methods simplify the system based on steady state assumptions, mainly used in planning and power-flow studies:
Kron reduction is a matrix-based method that eliminates internal nodes from the network by applying the Schur complement to the admittance matrix. Ward reduction, the extended version of Kron reduction, reduces the external system to its boundary buses using power transfer distribution factors. The effects of eliminated loads and generators are represented as equivalent sources at these boundary buses. Radial Equivalent Independent (REI) reduction aggregates all external loads and generators into a fictitious node through a passive radial network, which connects to a zero-potential star point. The method uses a zero-power balance technique to maintain current balance.
Dynamic reduction Dynamic reduction techniques aim to preserve the transient or oscillatory behavior of the system. They retain dynamic response characteristics and are then used in transient analysis and calculation, such as voltage stability and frequency stability. These techniques are further classified into model-based and measurement-based methods.
Model-based techniques Model-based dynamic reduction techniques rely on mathematical representations of power system components, such as generators, loads, and transmission lines, to create simplified but behaviorally accurate equivalents. These methods are typically applied when full knowledge of system topology and parameters is available. They are categorized into low-frequency and high-frequency equivalents based on the time-scale and phenomena of interest.
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