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Search indexed NASA NTRS and DOE OSTI research on propulsion, heat transfer, battery materials and energy systems. Follow report and document links to the original sources.
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Building Highly Detailed Synthetic Electric Grid Data Sets for Combined Transmission and Distribution Systems
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Deep Learning Architecture for Processing Cyber-Physical Data in the Electric Grid.
Abstract not provided.
Towards the Characterization of Cyber-Physical System Interdependencies in the Electric Grid
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Adaptive, Cyber-Physical Special Protection Schemes to Defend the Electric Grid Against Predictable and Unpredictable Disturbances.
Abstract not provided.
Minimizing cost in a 100% renewable electricity grid: A case study of wave energy in California.
Abstract not provided.
Adaptive Control Algorithm to Adjust Settings in Photovoltaic Inverters for Electric Grid Cybersecurity (DERAC) v0.1
Volt-VAR and Volt-Watt functionality in photovoltaic (PV) smart inverters provide mechanisms to ensure system voltage magnitudes and power factors remain within acceptable limits. However, these control functions can become unstable, introducing oscillations in system voltages when not appropriately configured or maliciously altered during a cyberattack. In the event that Volt-VAR and Volt-Watt control functions in a portion of PV smart inverters in a distribution grid are unstable, the proposed adaptation scheme utilizes the remaining and stably-behaving PV smart inverters and other Distributed Energy Resources to mitigate the effect of the instability in real-time. The adaptation mechanism is entirely decentralized, model-free, communication-free, and requires virtually no external configuration. This repository provides code to simulate the algorithm in experiments on the IEEE 37 node test feeder.
Electric Grid Simulator For Human Factor Research
The developed code simulates real-time monitor and control for west area of IEEE 118-bus system. The 24-hour load profile for each bus is derived by scaling the system’s rated load in the PSSE sav file according to the California Independent System Operator’s Day-ahead load forecast for May 1, 2024. This simulator performs several critical functions: (1) Calculating time-series power flow every 4 seconds; (2) Updating and dispatching AGC signals every minute; (3) Conducting N-1 contingency analysis every 5 minutes. Additionally, the simulator can trip lines and subsequently update and dispatch AGC signals, running power flow analysis after each tripping event.
Application of the Sourdough Fuel Cycle for Rapid Decarbonization of Electric Grids
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Co-optimizing Electric Grid Reliability and Resilience Investments.
Abstract not provided.
Energy Storage and the Electric Grid - Stabilizing the Renewable Energy Dominated Utility Grid Through Storage.
Abstract not provided.
Critical Node Identification Vulnerability Modeling and Topology Optimization for the Electric Grid.
Abstract not provided.
COVID-19 Technical Assistance Program: Agrivoltaic for Rural Economic Development and Electric Grids Resilience
Over the past 50 years, the Renewable Energy Program at Sandia has advanced research in the field with a focus on three key goals; 1) reduce the cost, 2) improve resilience and reliability and, 3) decrease the regulatory burden of renewable energy. Sandia’s expertise, coupled with the Village of Questa’s expanding renewable energy portfolio, presents the opportunity to deploy the Labs’ deep science and engineering capabilities towards the energy goals of KCEC and the Village of Questa. Preliminary research efforts by Sandia technical staff has broadly identified early opportunities for further research, development, and demonstration in the emerging renewable energy segment of agrivoltaics. Agrivoltaics is an emerging and promising area of photovoltaics which entails land use considerations as well as concerns regarding landscape transformation, biodiversity, and ecosystem well-being. In recent years, agrivoltaics systems have been the subject of numerous studies due to their potential in the food-energy (and water) nexus. This document is a preliminary evaluation of the projects performance opportunities of agrivoltaics as a renewable energy technology strategy in the region of Questa, NM.
Application of Electric Grid Simulators for Cyber-Physical Emulation Experiments.
Abstract not provided.
Adaptive, Cyber-Physical Special Protection Schemes to Defend the Electric Grid Against Predictable and Unpredictable Disturbances.
Abstract not provided.
Integration of Optimization and Machine Learning for Improving Electrical Grid Operation.
Abstract not provided.
Deep Learning Architecture for Processing Cyber-Physical Data in the Electric Grid.
Abstract not provided.