This project aims to assist operators during challenging and rare grid events through novel decision support tools and improved, data-driven training. This project will build advanced, machine learning based tools to fit into an adaptive human-machine system and improve existing training simulators to incorporate such tools and more data.
Program: Electric Grid
CIEE and partners Power Standards Lab and Lawrence Berkeley National Lab developed a new instrument called a micro-phasor measurement unit (μPMU) to make ultra-precise, time-synchronized measurements in electric power distribution systems. These synchrophasor data provide unique information about power flows and stability of the grid, by revealing magnitudes and phase angles (i.e, subtle time shifts between the measurements at different locations) of voltage and current. The project also created a powerful and extremely fast new tool called the Berkeley Tree Database (BTrDB), to enable users to actually consume and analyze rich data streams like those from μPMUs, which report measurements 120 times per second.
Since 2015 CIEE has been assisting the California Public Utilities Commission in the analysis of the potential for demand response (DR) in California. As part of a continuing effort, CIEE is now managing a $5,000,000 prime contract. CIEE’s primary role is to identify and subcontract with researchers who can perform the work needed by the CPUC.
Motivated by urgent societal questions and California legal mandates related to climate change and urban vulnerability, the EcoBlock concept is a multi-customer microgrid solution electrical system combining distributed energy resources.
Phasor-Based Control (PBC) is a radically new layered control framework for managing high penetrations of solar and other variable energy resources on electric utility distribution circuits. This project integrates several threads of research and development including high-precision micro-synchrophasor (µPMU) measurements, analytics relating phasor profiles to dynamic and unbalanced power flows, decentralized adaptive control algorithms, and simulation capabilities to effectively characterize large networks.
The Binational Lab on Smart Energy Management and Technology is a research partnership between Mexico’s largest and most prestigious private education institute, Instituto Tecnológico y de Estudios Superiores de Monterrey (Tec de Monterrey), and California’s UC Berkeley.