Grid Integration of Inverter-Based Distributed Energy Resources: Operation, Planning, and Guidelines

Organizers

Dr. Jianzhe Liu, Argonne National Laboratory (ANL)
Dr. Kun Zhu, Midcontinent Independent System Operator (MISO)
Dr. Jens C. Boemer, Electric Power Research Institute (EPRI)
Dr. Reza Ghaemi, General Electric Research (GER)
Dr. Xuan Wu, American Electric Power (AEP)

Abstract

The US power system will be undertaking an monumental transformation as it moves forward to being 100% clean energy powered by 2035. In the meantime, the extreme weather events and increasingly stressed loading conditions have put grid stability, reliability, and resilience at risk. The growing power electronics intensive inverter-based resources (IBRs) have a promising potential in contributing to the clean energy transformation while improving system performance. Challenges for IBRs grid integration inlcude: 1) how to design stability guaranteed control for the power electronics interfaced resources that usually have low inertia and high stochasticity; 2) the grid planning issue of IBR could be significantly different from the conventional ones; 3) what the industrial guidelines for IBRs integration would be in the future as they have already undertaken significant changes; 4) how we should control a large-scale fleet of IBRs as the problem is high-dimensional and computationally challenging; and 5) how we should optimize the location of energy storage systems given their critical role in IBR’s grid integration and considering the numerous choice of location and capacity. This special session will provide useful industry insights into all the aforementioned issues.

Short Bio of Organizers

Dr. Jianzhe Liu received the B.E. degree in electrical engineering from Huazhong University of Science and Technology, China, in 2012, and the Ph.D. degree in electrical and computer engineering from The Ohio State University, US, in 2017. Dr. Liu was a visiting scholar at Aalborg University, Denmark, in 2017. He is currently an Energy Systems Scientist at Argonne National Laboratory. His research interests include robust control and optimization for electric power systems. He is a chair of the Techncial Program Committee of 2021 IEEE 12th International Symposium on Power Electronics for Distributed Generation Systems (PEDG 2021).

Dr. Kun Zhu holds a Ph.D. in electrical engineering from Iowa State University. He has 20 years’ experience in the power industry, including 17 years at MISO, an independent, not-for-profit organization that delivers safe, cost-effective electric power across 15 U.S. states and the Canadian province of Manitoba.

Dr. Jens C. Boemer received the Diploma degree in electrical engineering from the Technical University of Dortmund, Dortmund, Germany, in 2005, and the Ph.D. degree from the Delft University of Technology, Delft, the Netherlands, in 2016. He is currently a Principal Technical Leader with the Department of Grid Operations and Planning, Modeling and Simulation, Electric Power Research Institute, Palo Alto, CA, USA. His field of interest includes the grid integration of renewable energy resources with the focus on power system stability.

Dr. Reza Ghaemi received the Ph.D. degree in electrical engineering and the M.S. degree in mathematics from University of Michigan in 2010 and 2009 respectively. He was a visiting scholor at ETH in 2008. From 2010 to 2012 he was a post-doctoral associate in the Mechanical Engineering department at MIT, researching supervisory control of order-preserving systems and stochastic analysis of biological systems. He is presently a Senior Control Systems Engineer and project leader in the Controls and Optimization organization at GE Research. He has developed and led development of advanced control algorithms, real-time optimization engines, real-time estimation for different GE businesses as well as external programs. He has done research and published both in theory and practice in the area of fast model predictive control, robust model predictive control, supervisory control, distributed optimal control of the power grid, stochastic analysis of finite and infinite dimensional linear systems, advanced building control, control of power electronics systems, and flight path optimization systems. Dr. Ghaemi has received best paper in session awards at the IEEE ACC and CDC control conferences. He served as the chair of GE Controls Symposium in 2015 and 2016.

Dr. Xuan Wu received the M.S. degree from Arizona State University, Tempe, AZ, in 2013, and the Ph.D. degree from The Ohio State University, Columbus, OH, in 2018, both in electrical engineering field. Currently, he is a Principal Engineer at American Electric Power (AEP). His research interests include power system operation, planning, security & resilience, engineering and equipment. Xuan received AEP Key Contributor Awards in 2016 and 2021, IEEE PES Columbus Chapter Outstanding Engineer Award in 2017, and IEEE Transactions on Power Systems Best Paper Awards in 2020 and 2021. Xuan has published over 25 journal and conference papers and contributed to a number of AEP and IEEE standards. He is currently an Editor of IEEE Transactions on Power Delivery, an Editorial Board Member of International Transactions on Electrical Energy Systems, and a Guest Editor of Jounal of Mordern Power Systems and Clean Energy. Dr. Wu is the Representative of IEEE PES Region 2, an IEEE Senior Member, and a Registered Professional Engineer licensed in Ohio.

Speakers and Presentations

1. Dr. Jianzhe Liu, ANL
Robust Optimal Power Flow with Stability and Feasibility Guarantees for Systems with Large-Scale IBR Integration

2. Dr. Kun Zhu, MISO
NERC SPIDER Working Group Update

3. Dr. Jens C. Boemer, EPRI
State of The Art and Potential Improvements to Existing IBR Distribution Interconnection Practices & Studies

4. Dr. Reza Ghaemi, GER
Scalable demand side control for high renewable penetration distribution grid: Solutions and challenges

5. Dr. Xuan Wu, AEP
Optimal Planning & Operations of Batteries in Distribution Systems to Enhance Reliability and Attain Market Revenues