A Screening Method for Power System Inertia Zones Identification

TL;DR

This paper introduces a novel screening method combining network structure and generator inertia to identify inertia zones in power systems, aiding in understanding disturbance responses.

Contribution

It proposes a new inertia-zone identification approach using dynamic nodal weight and a modified clustering technique based on the system's topology and inertia distribution.

Findings

Effective in identifying inertia zones in simulated power system

Improves understanding of disturbance impacts on different regions

Demonstrated on IEEE 39 bus system with DFIG integration

Abstract

The heterogeneous distribution of frequency support from dispersed renewable generation sources results in varying inertia within the system. The effects of disturbances exhibit non-uniform variations contingent upon the disturbance's location and the affected region's topology and inertia. A screening method for inertia-zone identification is proposed considering the combination of network structure and generator inertia distribution that will aid in comprehending the response of nodes to disturbances. The nodes' dynamic nodal weight (DNW) is defined using maximal entropy random walk that defines each node's spreading power dynamics. Further, a modified weighted kmeans++ clustering technique is proposed using DNW to obtain the equivalent spatial points of each zone and the system to parameterize the inertia status of each zone. The impact of the proposed scheme is justified by simulating a modified IEEE 39 bus system with doubly-fed induction generator (DFIG) integration in the real-time digital simulator.