![]() The theoretic scaffolding for this new discipline in their Real-Time Feedback-Based Optimization of Distribution Grids: A Unified Approach and Online Optimization as a Feedback Controller: Stability and Tracking papers. ![]() We're bridging the two domains."īernstein and Dall'Anese have been prolific in their publishing on this topic, building ![]() (but ignores real-world conditions) while control algorithms work to stabilize in "If you go to the literature, there's a gap between the two: Optimization finds solutions "Our main algorithms are coming from optimization and control theory," said Bernstein. Limited computation of many customer devices (e.g., inverters) to functionally run Set their sights on new algorithms for a distributed grid. With the launch of NODES in 2015, Bernstein and fellow NREL Researcher Emiliano Dall'Anese How it went to the multicell perspective." With each other to form a hierarchical system that could cover the entire grid. Then Ben had this idea of having cells that communicate "In terms of algorithms and framework, NODES covers just oneĬell-one bounded community. "I would say for us, it all started with NODES," said Senior Researcher and AEG Technical Pursue their best operating conditions, which adjust to the temperament of customerĭemand, available generation, and pricing. Sections, or "cells" of AEG use pervasive communication and controllability to continually Instead, AEG grids are composed within one another, like a fractalized group of microgrids. This is a hard pivot from today’s system, in which centralizedĬontrol is used to manage one-way electricity flows to consumers along power lines The AEG effort envisions a self-driving power system-a very "aware" network of technologiesĪnd distributed controls that work together to efficiently match bi-directional energy New technologies integrating into the power system." "We need a path to get there-to reach the potential of all these Techniques and technologies," said Benjamin Kroposki, director of NREL's Power SystemsĮngineering Center. "The future grid will be much more distributed and too complex to control with today’s It's called "Autonomous Energy Grids" (AEG), an effort to ensure the grid of the futureĬan manage a growing base of intelligent energy devices, variable renewable energy, In the past few years, this vision has grown from a theory on whiteboards to real-power A far-reaching vision for the future of the electric grid is emerging at the U.S.ĭepartment of Energy's (DOE's) National Renewable Energy Laboratory.
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