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Tuesday, April 2 @2 pm
ESIC SP24 Power Seminar Series: Intelligent Control of Networked Buildings – A Conceptual Framework
WSU Pullman

Buildings are the biggest consumers of electrical energy in the USA – according to the US Energy Information Administration (EIA), buildings account for 40% of total electricity consumed during the year 2020; out of which commercial and residential buildings account for 18% and 22% electricity consumption respectively. As a result, buildings become a potential asset for energy usage optimization from the point of view of electric grids. However, energy usage optimization is not the only problem that buildings lead to, the coupled problems of providing Quality of Service (QoS) to the occupants and supporting the grid with ancillary services also need to be dealt with for the complete utilization of buildings as an asset to the electric grid. The solution strategies for these problems arise from the confluence of diverse fields of Power Systems, Thermal systems, Control Systems, and Machine learning. This talk will provide a conceptual framework to come up with solutions for utilizing buildings as a grid-edge resource at scale.

Thursday, April 4 @4:30 pm
“The Dividing Line: Race and Segregation in Early Seattle”
WSU Pullman - Todd Hall

Dr. Megan Asaka (University of California, Riverside), author of Seattle from the Margins: Exclusion, Erasure, and the Making of a Pacific Coast City will give a talk titled “The Dividing Line: Race and Segregation in Early Seattle”.

Tuesday, April 9 @2 pm
ESIC SP24 Power Seminar Series: The Down of Synchronized Transient Measurements for Grid Modernization
WSU Pullman

The intricacies of operating and maintaining modern electric power systems are surging due to increased demand, integration of renewable energy resources, and the necessity for a reliable, resilient, and safe power infrastructure. To navigate these complexities, a new generation of data-driven solutions are coming to the fore that are enabled by high-fidelity synchronized transient measurements. These advanced analytics solutions offer a detailed view of grid conditions, which are instrumental in addressing the new requirements for grid modernization.

In this talk, we will delve into notable applications of synchronized transient measurements. We will examine the transformative impact of the solutions enabled by these measurements, illustrating how they can be used to detect and respond to transient disturbances with greater fidelity, and support the incorporation of distributed energy resources. By leveraging this new paradigm, utilities can achieve a forward-looking view of grid conditions, enabling them to anticipate issues and react more effectively to prevent power outages and asset failures. The implications for grid management in terms of strategic planning and change management will also be a key focus area.

Monday, April 15 @4:10 pm
MFA Candidate Artist Talks
WSU Pullman - Fine Arts Building

Join us for a series of short artist talks from current first and second-year MFA graduate students discussing their work and process, in conjunction with ART 598 Graduate Semina

Tuesday, April 16 @2 pm
ESIC SP24 Power Seminar Series: Management and Control of Electric Grid with Inverter-Based Resources
WSU Pullman - Electrical and Mechanical Engineering Building

This webinar focuses on the newer and feasible approaches for the management and control of the electric grid with renewables. Reliable and efficient operation of the electric grid with advanced control and management of the electric distribution system with renewable energy resources (RERs) such as distributed RER clustering/unified control, stacked control of energy storage, and optimal reconfiguration and resilient control framework for real-time photovoltaic dispatch, will be the main topic of discussion. Further, operational methods including newer management and control tools are presented with a special emphasis on utility-scale functions. Finally, evolving techniques and pathways of electric grid management that integrate data sets generated from sensors and meters are also discussed with a special emphasis on the overall reliability and resiliency of the electric grid with renewable energy resources.

Tuesday, April 16 @2:30 pm
Town Hall: Preparation for Tenure and Promotion to Associate Professor (Tenure-Track)
WSU Everett - Online

Doug Call (Senior Vice Provost), Renny Christopher (Vice Chancellor for Academic Affairs, WSU Vancouver), and Haluk Beyenal (Associate Dean for Research and Graduate Studies, Voiland College of Engineering and Architecture) will be hosting four Town Halls regarding the promotion and tenure process.

Thursday, April 18 @4:30 pm
Politics and the Trickster
WSU Pullman - Bryan Hall

The Trickster is popularly portrayed as a being who animates and enlivens humanity’s oldest stories. How can the Trickster character be applied to our politics today?

Monday, April 22 @2:30 pm
Town Hall: Preparation for Promotion to Associate Professor (Career-Track)
WSU Everett - Online

Doug Call (Senior Vice Provost), Renny Christopher (Vice Chancellor for Academic Affairs, WSU Vancouver), and Haluk Beyenal (Associate Dean for Research and Graduate Studies, Voiland College of Engineering and Architecture) will be hosting four Town Halls regarding the promotion and tenure process. These meetings will cover a variety of topics, including promotion and tenure statistics by rank, track, and campus; myths about promotion and tenure; tips to articulate your story; and resources for faculty.

Tuesday, April 30 @2 pm
AGI SP24 Power Seminar Series: Differentiable Programming for Data-driven Modeling, Optimization, and Control
WSU Pullman - Electrical and Mechanical Engineering Building

This talk will present a different programming perspective for physics-informed machine learning (PIML) of dynamical system models, learning to optimize, and learning to control methods. We will discuss the opportunity to develop a unified PIML framework by leveraging the conceptual similarities between these distinct approaches. Specifically, we introduce differentiable predictive control (DPC) as a sampling-based learning to control method that integrates the principles of parametric model predictive control (MPC) with physics-informed neural networks (PINNs). We also show how to use recent developments in control barrier functions and neural Lyapunov functions to obtain online performance guarantees for learning-based control policies. We demonstrate the performance of these PIML methods in a range of simulation case studies, including modeling of networked dynamical systems, robotics, building control, and dynamic economic dispatch problem in power systems.