# Enhanced Automatic Generation Control (E-AGC) for Electric Power Systems   with Large Intermittent Renewable Energy Sources

**Authors:** Xia Miao, Qixing Liu, Marija Ilic

arXiv: 1902.07644 · 2019-02-21

## TL;DR

This paper develops an advanced control method, E-AGC, for power systems with high renewable energy, modeling complex oscillations and demonstrating its effectiveness through simulations on a 5-bus system.

## Contribution

It introduces a detailed multi-layered dynamical model of power systems with renewables and derives an enhanced AGC method to mitigate interarea oscillations.

## Key findings

- E-AGC effectively cancels interarea oscillations.
- Simulation results show improved frequency stability.
- The model captures fast nonlinear disturbances from renewables.

## Abstract

This paper is motivated by the need to enhance today's Automatic Generation Control (AGC) for ensuring high quality frequency response in the changing electric power systems. Renewable energy sources, if not controlled carefully, create persistent fast and often large oscillations in their electric power outputs. A sufficiently detailed dynamical model of the interconnected system which captures the effects of fast nonlinear disturbances created by the renewable energy resources is derived for the first time. Consequently, the real power flow interarea oscillations and the resulting frequency deviations are modeled. The modeling is multi-layered, and the dynamics of each layer (component level (generator); control area (control balancing authority), and the interconnected system) is expressed in terms of internal states and the interaction variables (IntV) between the layers and within the layers. E-AGC is then derived using this model to show how these interarea oscillations can be canceled. Simulation studies are carried out on a 5-bus system.

## Full text

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## Figures

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## References

12 references — full list in the complete paper: https://tomesphere.com/paper/1902.07644/full.md

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Source: https://tomesphere.com/paper/1902.07644