Dynamic Modeling, Stability, and Control of Power Systems with Distributed Energy Resources
For power system engineers, this work addresses the challenge of integrating renewable energy sources by providing practical control methods, though it is incremental in nature.
This paper develops dynamic models for distributed energy resources (DERs) and proposes novel decentralized and distributed control designs to enable large-scale DER integration, demonstrating effectiveness on an IEEE test system.
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.