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Advanced Grid The WSU-PNNL Institutes

Virtual AGI Day

PNNL/WSU Advanced Grid Institute (AGI) Overview – What is it?  Where has it been and where is it going?

April 2, 2020  |  10:00am – 11:00am PDT

This session will include senior leaders from PNNL and WSU discussing why the AGI (https://natlab.wsu.edu/grid/) was formed, progress over the last two years and next steps in accelerating the interactions and collaborations between PNNL and WSU professionals to create and implement a national-scale simulation platform and data framework to enable advanced grid controls and operations for complex power systems of the future.  Inaugural and current AGI co-directors will highlight on-going activities, joint appointments and future opportunities.  Discussions and Q&A period will follow.

 

Stability Monitoring and Control using Synchrophasors

PRESENTER:  Dr. Mani Venkatasubramanian

April 2, 2020  |  11:00am – 12:00pm PDT

ABSTRACT: Power systems around the world are steadily moving from SCADA based quasi-static monitoring framework to synchrophasor based dynamic wide-area monitoring of the system. At WSU, our group has been developing real-time and offline applications for stability monitoring and control of the power systems using synchrophasors. The applications include model validation, oscillation monitoring, voltage stability monitoring and angle instability detection. Many of our algorithms and tools have been adopted in the power industry. The talk will provide an overview of the algorithms developed and will discuss future research problems on these topics.

BIO: Dr. Mani Venkatasubramanian is a Boeing Distinguished Professor in Electrical Engineering at WSU and serves as the Director of Energy Systems Innovation Center. He received M.S. and D.Sc. in System Sciences and Mathematics from Washington University in St.Louis, MO.  He was an invited member of the working groups that studied the 1996 Western interconnection blackouts and the 2003 Northeastern blackout. He serves as the Chair of the IEEE PES Working Group on Power System Dynamic Measurements. He is a Fellow of IEEE.

Meeting Recording:
https://wsu.zoom.us/rec/share/7OZUdY_N0UpJQoHm13nFSvNmMpS8eaa823Ae8_sPyUt2mVvjpnri4VIJi9VTolrP

Data-Driven Tools for Cyber-Physical Resiliency of the Electric Grid

PRESENTER:  Dr. Anurag K. Srivastava

April 2, 2020  |  1:00pm – 2:00pm PDT

ABSTRACT: Digitalization and automation technologies enable to realize the smart grid vision but also bring vulnerabilities. It is important to analyze the impact of possible cyber-attacks on the power grid and develop defense mechanisms. Keeping the power on to critical facilities such as hospitals and fire department during cyber events is essential. There is a need for formal metrics to quantify resiliency of the electric grid, or different configurations of the same system. Number of resources are available with integration of microgrids and DER to improve the resiliency of the critical loads during cyber-attacks or extreme weather events. Additionally, sensor data availability such as smart meters, phasor measurement units and cyber data as well as weather data makes it possible to do resiliency analysis with enhanced situational awareness. This talk will cover defining resiliency, measuring resiliency, data-driven situational awareness, and a tool to study the cyber-physical resiliency of the electric grid.

BIO: Anurag K. Srivastava is an associate professor of electric power engineering at Washington State University and the director of the Smart Grid Demonstration and Research Investigation Lab (SGDRIL) within the Energy System Innovation Center (ESIC). He also has a joint appointment as a Senior Scientist with the Pacific Northwest National Lab (PNNL). He received his Ph.D. degree in electrical engineering from the Illinois Institute of Technology in 2005. In past years, he has worked in different capacities at the Réseau de transport d´électricité in France; RWTH Aachen University in Germany; PEAK RC, Idaho National Laboratory, Pacific Northwest National Lab, PJM Interconnection, Schweitzer Engineering Lab (SEL), GE Grid Solutions, Massachusetts Institute of Technology and Mississippi State University in USA; Indian Institute of Technology Kanpur in India; as well as at Asian Institute of Technology in Thailand.

His research interest includes data-driven algorithms for power system operation and control including resiliency analysis. Dr. Srivastava’s high impact research projects are funded by the US Department of Energy, National Science Foundation, Siemens Corporate Research, Electric Power Research Institute, Schweitzer Engineering Lab, Power System Engineering Research Center, Office of Naval Research and several National Labs. He is a senior member of the IEEE, chair of the IEEE Power & Energy Society’s (PES) PEEC committee, co-chair of the microgrid working group, vice-chair of power system operation SC, chair of PES voltage stability working group, chair of PES synchrophasors applications working group, co-chair of distributed optimization application in power grid, vice-chair of tools for power grid resilience TF, member of CIGRE C4C2-58 Voltage Stability, C4.47/ C2.25 Resilience WG and past vice-chair of the IEEE synchrophasor conformity assessment program. He organized an NSF sponsored “Data analytics workshop for the power grid resiliency” in 2018, Siemens sponsored “data analytics for the smart grid” workshop in 2017, North American Power Symposium in 2014, and IEEE sponsored workshop on Testing and validation of synchrophasor devices and applications in 2012. He also co-organized Workshop on “Modeling and simulation of Cyber-Physical Energy Systems” supported by IEEE and IES in 2016, 2017, 2018 and 2019 and NSF supported “Forging Connections between Machine Learning, Data Science, & Power Systems Research” in 2020. Dr. Srivastava is an editor of the IEEE Transactions on Smart Grid, IEEE Transactions on Power Systems, IEEE Transactions on Industry Applications, and Elsevier Sustainable Computing. He is an IEEE distinguished lecturer and has delivered 30+ keynotes/ tutorials in more than 15 countries. He is author of more than 300 technical publications, including a book on power system security and 3 patents.

GridSandbox: End-to-end Analytics for Grid Architectural Design and All-hazard Assessment

PRESENTER: Dr. Jianming (Jamie) Lian and Project Team Members

April 2, 2020  |  2:00pm – 3:00pm PDT

ABSTRACT: As part of the efforts of the WS-PNNL Advanced Grid Institute (AGI), this proposed work aims to develop our core capabilities and tailor this research to provide additional interaction between WSU and PNNL to further nurture joint capabilities in areas of strategic importance to the electric power grid research at both institutions. The objective of this project is to develop an open-access modeling and simulation environment, GridSandbox, for grid architecture design and all-hazard assessment. The initial efforts focus on developing an
early-stage GridSandbox for testing, evaluating, and demonstrating the competing architectures of the power system with substantial engineering rigor by leveraging many existing research efforts from both PNNL and WSU.

BIO: Dr. Jianming (Jamie) Lian is currently a principal engineer leading the Control Methods Team of the Optimization and Control Group. He received his Ph.D. degree in Electrical Engineering from Purdue University, West Lafayette, IN, in 2009. Since joining in PNNL, he has been playing an important role in leading many research projects in the areas of power grid, building system, and transportation network. Recently, he has been leading the development of a high-fidelity hardware-in-the-loop co-simulation environment for testing and validating various control strategies for building-to-grid integration with communication system taken into account.