Post by Wei Du

Chief Engineer and Solar Subsector Manager at PNNL

I am pleased to share that the final report of our project, “Integrated Multi-Fidelity Model and Co-Simulation Platform for Distribution System Transient and Dynamic Analysis—DistribuDyn,” is now available online. This 3.5-year, multi-institutional collaborative project aims to address the challenges of modeling and simulation of distribution systems with high penetration of inverter-based distributed energy resources (DERs). Historically, distribution system planning studies have mainly focused on steady-state and quasi-steady-state analysis. However, as DER penetration continues to increase, it is becoming increasingly important to develop appropriate models and simulation tools to study distribution system transients and dynamics. Over the past 3.5 years, the project team has achieved the following: 1) Developed an integrated electromagnetic transient (EMT) and per-phase phasor co-simulation platform for studying distribution system transients and dynamics by leveraging and enhancing both open-source and commercial simulation tools, including GridLAB-D, HELICS, and PSCAD. 2) Developed white-, black-, and gray-box models for DERs and loads using physics-based and data-driven machine learning approaches. These models were validated using a variety of data sources, including EMT simulations, controller-hardware-in-the-loop testing, and hardware experimental results, and have been integrated into the open-source simulation tool GridLAB-D. 3) Applied the co-simulation platform and IBR models to a realistic distribution feeder provided by our utility partner ComEd for planning studies. The feeder model was calibrated using data from more than 20 micro-PMUs deployed in the field. We hope the outcomes of this project can advance the transient and dynamic modeling capabilities for distribution systems and increase the confidence of utilities and system operators in planning and operating systems with high levels of inverter-based DERs and variable loads. We would like to thank all the contributors to this project: PNNL: Frank Tuffner Yuan Liu Udoka Nwaneto, Ph.D., SMIEEE Shrirang Abhyankar Jing Xie Sheik Mohammad Mohiuddin ORNL: Yaosuo Xue Liang Qiao, Sunil Subedi Jianming (Jamie) Lian Jian Sun, Yanfei Li GE Vernova: Hanchao Liu Zhe Chen Purdue University: Xiaonan Lu Yuxi Meng Lizhi Ding Junhui Zhang ComEd: Roshan Sharma Honghao Zheng Brooks Glisson, Sri Raghavan Kothandaraman Finally, we thank our DOE sponsors for supporting this work: Guohui Yuan, PhD JJ Dai Yi Yang Bob Reedy The report can be accessed here: https://lnkd.in/gFrD_uKm