# Alternating Direction Method of Multipliers (ADMMs) Based Distributed   Approach For Wide-Area Control

**Authors:** Abilash Thakallapelli, Sukumar Kamalasadan

arXiv: 1907.06340 · 2019-07-16

## TL;DR

This paper introduces a distributed control architecture using ADMM for damping interarea oscillations in power systems, involving local and global transfer function estimation and validated through simulation.

## Contribution

A novel ADMM-based distributed wide-area control approach for power system oscillation damping with a consensus-based transfer function estimation method.

## Key findings

- Effective damping of interarea oscillations demonstrated in test systems.
- Controller performance validated on RTDS/RSCAD and MATLAB platforms.
- Approach enables scalable and distributed wide-area control.

## Abstract

In this paper, an alternating direction method of multipliers based novel distributed wide-area control architecture is proposed for damping the interarea oscillations. In this approach, first, an interconnected power system is divided into areas based on coherency grouping. Second, local processors are assigned on each area that estimate a black-box transfer function model based on Lagrange multipliers using measurements. These local area processors are then used to estimate a global transfer function model of the power system based on a consensus algorithm through a global processor. After convergence, a transfer function residue corresponding to the interarea mode of interest is derived, to determine optimal wide area control loop. Finally, a wide-area damping controller is designed based on this information. The efficacy of the controller is validated using two area and IEEE-39 bus test systems on RTDS/RSCAD and MATLAB cosimulation platform.

## Full text

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## Figures

27 figures with captions in the complete paper: https://tomesphere.com/paper/1907.06340/full.md

## References

34 references — full list in the complete paper: https://tomesphere.com/paper/1907.06340/full.md

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Source: https://tomesphere.com/paper/1907.06340