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Multi-Task Reinforcement Learning for Distribution System Voltage Control With Topology Changes
This letter proposes a multi-task deep reinforcement learning (DRL) approach for distribution system voltage regulation considering topology changes via PV smart inverter control. The key idea is to encode the topology as an additional state for the DRL and leverage the multi-task...
Pei, Y. et al University of Conneticut
Apr 30, 2023
Microgrid Modeling with Small Modular Reactors: Decarbonizing University Campus Microgrids through Optimal Deployment of Nuclear Power Reactors
This report explores the decarbonization of the University of Illinois Urbana-Champaign (UIUC) campus microgrid through the optimal deployment of Small Modular Reactors (SMRs). The primary objective is to assess the technical and economic feasibility of integrating SMRs, Battery E...
Grunloh, T. et al University of Illinois Urbana-Champaign
Jun 30, 2024
Identifying Best Performance Scenarios for Micro Nuclear Reactors During Grid Disruption
Micro Nuclear Reactors (MNRs) are an emerging innovation in nuclear technology as small, portable, and self-sufficient reactor units in the size of a standard 40-foot shipping container. An MNR functions as a “nuclear battery,” where each unit can power load capacities from 50...
Ivey, C. et al U.S. Army
Apr 30, 2024
Powering Up Data Centers Discussion Series
Hosted by the National Association of State Energy Officials (NASEO), the Powering Up Data Centers series features discussions on energy efficiency, renewable integration, and resilience strategies for data centers. The webinars bring together experts from government, industry, an...
National Association of State Energy Officials
Dec 31, 2024
5 Resources
5 Resources
Laboratory-Scale Microgrid System for Control of Power Distribution in Local Energy Networks Part I: Theory and Design
One of the promising solutions to achieve sustainable energy systems in future smart cities is to deploy microgrids in local energy networks. Due to the decentralized nature of microgrids, large-scale utilization of these resources will increase the reliability of the energy syste...
Mahmud, R. NLR
Jan 17, 2019
GridLab-D
GridLAB-D is a new power system simulation tool that provides valuable information to users who design and operate electric power transmission and distribution systems, and to utilities that wish to take advantage of the latest smart grid technology. It incorporates advanced model...
Pacific Northwest National Laboratory
Jan 19, 2023
2 Resources
2 Resources
Microgrid Program Strategy
The Strategy development process began with microgrid experts deliberating on areas the Strategy should focus on for impactful results. These deliberations led to the development of seven strategic white papers, one for each of the six strategic RandD areas identified and one addi...
Ferreira, S. et al Sandia National Laboratories
Mar 30, 2026
7 Resources
7 Resources
System Advisor Model (SAM) General Description (Version 2017.9.5)
This document provides a general description of the System Advisor Model (SAM) version 2017.9.5. It explains the software's purpose as a free techno-economic modeling tool for evaluating renewable energy projects, including photovoltaic, wind, concentrating solar, geothermal, and ...
Keith, J. et al NLR
May 01, 2018
Energy Storage Workforce Development: Training Needs Assessment, Training Inventory, and Workforce Development Investments
Technical report assessing energy-storage workforce demand, priority occupations, and skills; cataloging training providers and programs; and identifying pipeline gaps. Recommendations address curriculum development, credential pathways, and targeted investments to support storage...
, . New York Energy Research and Development Authority
Apr 01, 2021
Self-Organizing Map-Based Resilience Quantification and Resilient Control of Distribution Systems Under Extreme Events
Due to climate change, extreme weather events are occurring more frequently and with increasing impact. This trend poses a significant challenge for distribution system operators (DSO) to ensure that there is uninterrupted power supply to critical loads in their networks. To embed...
Utkarsh, K. and Ding, F. NLR
May 01, 2022
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