Consensus Clustering for the Identification of Coherent Regions with Varied Generation Mix

TL;DR

This paper introduces a multi-view consensus algorithm to identify coherent regions in power grids with high inverter integration under varied disturbances and operating conditions.

Contribution

The paper proposes a novel consensus clustering method for dynamic coherency identification in power systems with diverse disturbances and inverter-rich environments.

Findings

Successfully applied to miniWECC 240 bus system

Effectively captures boundary changes under different disturbances

Enhances understanding of grid dynamics with inverter integration

Abstract

With a steady increase in the inverter technology integration to the grid, frequency response of the large inter-connection system becomes more unpredictable. This leads to a significant change in the boundaries of the coherent region, which highly depends on the changing disturbance locations and operating conditions. While most of the existing coherency identification is based on a single large generator outage, it is important to identify these boundaries in view of wide range of disturbances. With large amount of inverters in the system, there is increase in the dynamic interactions of the various grid components leading to a need for such boundary identification. This paper presents the multi-view consensus algorithm to identify coherency in the case of variable grid operating conditions and wide range of disturbances. The proposed approach is demonstrated by identifying the coherent regions in the miniWECC 240 bus test system.