Dynamic Modeling, Stability, and Control of Power Systems with Distributed Energy Resources

TL;DR

This paper introduces new control strategies for integrating distributed energy resources into future smart grids, addressing dynamic modeling and stability challenges in systems with renewable sources and energy storage.

Contribution

It provides comprehensive dynamic models for DERs and innovative control designs using decentralized and sparsity-promoting methods for large-scale integration.

Findings

Control designs demonstrated on IEEE test system

Enhanced stability with DER integration

Effective coupling of renewable sources with traditional generators

Abstract

This article presents a suite of new control designs for next-generation electric smart grids. The future grid will consist of thousands of non-conventional renewable generation sources such as wind, solar, and energy storage. These new components are collectively referred to as distributed energy resources (DER). The article presents a comprehensive list of dynamic models for DERs, and shows their coupling with the conventional generators and loads. It then presents several innovative control designs that can be used for facilitating large-scale DER integration. Ideas from decentralized retrofit control and distributed sparsity-promoting optimal control are used for developing these designs, followed by illustrations on an IEEE power system test model.