At the TryEngineering Summer Institute (https://tryengineeringinstitute.ieee.org/), teens will explore various engineering fields, such as electrical, civil, mechanical, and aerospace. Our STEM summer course allows you to meet working engineers and experience VIP tours of engineering companies and centers. Learn new skills and engage in hands-on projects that explore how engineers can solve real-world problems. Program highlights found here: https://tryengineeringinstitute.ieee.org/summer-program/ See tuition information for enrollment in one 10-day session online-- these are on-campus residential camps with commuter-day options. Philadelphia, PA (University of Pennsylvania) - Session 1: July 9, 2023 - July 18, 2023 - sold out - Session 2: July 21, 2023 - July 30, 2023 Houston, Texas (Rice University) - Session 1: June 30, 2023 - July 9, 2023 - Session 2: July 12, 2023 - July 21, 2023 San Diego, California (University of San Diego) - Session 1: June 30, 2023 - July 9, 2023 - Session 2: July 12, 2023 - July 21, 2023 Co-sponsored by: IEEE Educational Activities - TryEngineering Summer Institutes San Diego, California, United States, 92110

The increase in renewable penetration in power grids has led to more frequent system oscillation occurrences. Some, if left unattended, will deteriorate to oscillatory instability that causes severe damages. While fast power system variations can be captured by Phasor Measurement Units (PMU), critical oscillations are often blended with common grid dynamics and a data management method is necessary to differentiate the two. Currently, the widely-adopted real-time oscillation event detection methods are mostly empirical-based, which present a large number of false alarms and omissions even with constant tuning and tweaking. Therefore, to enhance notification accuracy and facilitate control room functions, a real-time oscillation detection methodology based on Kernel Density Estimation (KDE) was innovated and deployed in AEP. The proposed methodology fits millions of historical PMU data into a bi-variate probability model by superposing Gaussian kernel functions derived at each data point. The standard deviations of those Gaussian kernel functions are determined via Maximum Likelihood Cross Validation (MLCV), in which the optimum fitness between the probability model and the historical PMU data are achieved. A severity index is then created for each observation based on the cumulative probability function. A cutoff value on the severity index is subsequently customized for every PMU signal via heuristic training involving historical event data. Outliers, picked based on the cutoff severity index, would hence be visualized on scatter plots to delineate alarm thresholds and finalize alarm settings. The KDE-based oscillation detection was able to flag critical oscillations previously overlooked by the empirical-based alarm. Moreover, it has decreased false notification rate from 50% to below 6% since deployment in 2020. Despite of evolving changes in AEP’s footprints, the false alarm rate has been maintained around 5%, which demonstrates the robustness of the proposed methodology. The KDE-based oscillation detection allows control room personnel to capture threatening oscillations at an early stage, enhancing situational awareness and preventing system-wide instability. Furthermore, with post-event studies performed on captured events, preventive measures could be planned accordingly to accommodate today’s power grid to increasing renewable penetrations. Co-sponsored by: University of Tennessee, Knoxville Speaker(s): Yidan Lu Virtual: https://events.vtools.ieee.org/m/360929

Transportation electrification is a transformative trend in the transportation sector, bringing significant benefits in terms of efficiency, convenience, and environmental sustainability. However, the widespread adoption of electric vehicles (EVs) is hindered by the availability and accessibility of charging infrastructure. To overcome this challenge, various charging technologies and modes are being developed and deployed. In this lecture, I will explore various EV charging technologies and modes, such as extreme fast charging, wireless charging, and dynamic charging, that will play a critical role in ensuring the success of the EV revolution. Speaker(s): Ahmed, Virtual: https://events.vtools.ieee.org/m/361785

In this talk, we focus on the recent developments toward distributed integrated sensing and communications (ISAC). We consider a broad definition of coexistence, which covers ISAC, collaborative communications, and sensing with interference. Toward fully realizing the coexistence of the two systems, optimization of resources for both new/futuristic sensing and wireless communications modalities is crucial. These synergistic approaches that exploit the interplay between state sensing and communications are both driving factors and opportunities for many current signal processing and information-theoretic techniques. In addition, a large body of prior works considers colocated ISAC systems while distributed systems remain relatively unexamined. Building on the existing approaches, the tutorial focuses on highlighting emerging scenarios in collaborative and distributed ISAC, particularly at mm-Wave and THz frequencies, highly dynamic vehicular/automotive environments that would benefit from information exchange between the two systems. It presents the architectures and possible methodologies for mutually beneficial distributed co-existence and co-design, including sensor fusion and heterogeneously distributed radar and communications. The tutorial also considers recent developments such as the deployment of intelligent reflecting surfaces (IRS) in ISAC, 5G systems, passive internet-of-things, and ISAC secrecy rate optimization. This tutorial aims to draw the attention of the radar, communications, and signal processing communities toward an emerging area, which can benefit from the cross-fertilization of ideas in distributed systems. Speaker(s): Kumar Vijay Mishra, Agenda: 5:15 PM - sandwiches & networking 5:45 PM - Presentation 6:45 PM - Q & A 7:00 PM - Adjourn Room: Suite 208, Bldg: MIT Lincoln Laboratory, 131 National Business Parkway, Annapolis Junction, Maryland, United States, 20701

This is the 2nd weekly session of the CIT Summer Series, with Dan Wolfson presenting on Using Open Source to Accelerate Sustainability Initiatives : Addressing climate change and sustainability is one of the most urgent concerns we face. A key step in addressing these concerns is for organizations to measure, analyze and document their carbon emissions and climate risks. Sustainability and climate reporting is effectively being mandated by both governments and industry. This reporting, however, often requires significant investments in time and resources to design, develop and implement. The right data must be found, prepared and organized to support for instance, calculation of the Greenhouse Gas emissions. This can be a significant challenge. Open source projects, such as Egeria, can play a significant role in accelerating these initiatives. In this talk you will learn about: - What are some of the key standards and programs for measuring and reporting on Sustainability - Acceleration through Open Source projects - An overview of Egeria and it can jumpstart sustainability projects - A deeper look at the Greenhouse Gas Protocol and Carbon Accounting showing how Egeria can help organizations establish and deliver trusted sustainability reports Speaker(s): Dan Wolfson, Virtual: https://events.vtools.ieee.org/m/363997