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Maximizing Solar and Transportation Synergies
This report considers the technological and market pathways that will enable better use of photovoltaic (PV) electricity as fuel for future transportation demand. Most of the pathways identified will require collaborative research and development (RandD) efforts to improve the cap...
Ardani, K. et al NLR
Aug 31, 2021
Learning-Based Building Flexibility Estimation and Control to Improve Microgrid Economics and Resilience: Preprint
This paper proposes a learning-based building flexibility estimation and control framework to improve system economics and resilience. A data-driven building load flexibility model consisting of weather forecasting and estimating load consumption is proposed to quantify building h...
Ding, F. et al NLR
Jun 30, 2024
Unleash Values From Grid-Edge Flexibility
Summarizes control strategies, coordination frameworks, and value streams enabled by grid edge assets. Highlights practical experience, gaps in visibility and interoperability, and opportunities to scale flexibility services across distribution systems.
Ding, F. et al NLR
Jan 01, 2022
The U.S. DOE Microreactor Program: Performing Research and Development to Enable Microreactor Development, Deployment and Commercialization
Program overview describing DOE's microreactor R&D mission and coordinated roles for national laboratories, universities, and industry partners. Cross-cutting activities include systems integration and analysis, cost basis and manufacturing readiness, regulatory research and licen...
, . U.S. Department of Energy and Idaho National Laboratory
Jan 01, 2024
Modeling and Evaluating Beneficial Matches between Excess Renewable Power Generation and Non-Electric Heat Loads in Remote Alaska Microgrids
Develops a decision-making method to identify beneficial matches between excess renewable electricity and non-electric, dispatchable heat loads in remote Alaska microgrids. Uses HOMER Pro to model excess generation across multiple wind and solar build-out combinations and then qua...
Bolt, G. et al University of Alaska Fairbanks
Mar 24, 2022
Deep Reinforcement Learning for Microgrid Cost Optimization Considering Load Flexibility
This paper proposes a novel Soft-Actor-Critic (SAC) based Deep Reinforcement Learning (DRL) method for optimizing the cost of microgrid operation by leveraging load flexibility. The proposed SAC-DRL method is designed to coordinate the control of distributed energy resources (DERs...
Pei, Y. et al University of Connecticut
Dec 31, 2023
Economic Dispatch for Microgrid Containing Electric Vehicles via Probabilistic Modeling: Preprint
In this paper, an economic dispatch model with probabilistic modeling is developed for a microgrid. The electric power supply in a microgrid consists of conventional power plants and renewable energy power plants, such as wind and solar power plants. Because of the fluctuation in...
Yao, Y. et al University of Denver
Jan 31, 2016
IEEE 1457-2018 Workshops
The Institute of Electrical and Electronics Engineers Standard 1547-2018 (IEEE Std 1547-2018) workshop series is part of NREL's efforts to provide guidance and clarity for local authorities that are adopting, developing, and maintaining rules around integrating DERs such as solar,...
Narang, D. et al NLR
Mar 30, 2026
3 Resources
3 Resources
Load Control for Frequency Response A Literature Review
As electricity grids employ greater fractions of renewable energy, which introduce additional variability and uncertainty in the net-load, balancing electrical load and generation becomes more challenging. This paper reviews the literature documenting physical simulations and real...
Anderson, B. et al NLR
Jan 31, 2022
Two-Layer Predictive Controller for V2G and G2V Services Using on Wireless Power Transfer Technology
This paper presents a comprehensive solution that allows electric vehicles (EV) to autonomously charge and discharge their batteries wirelessly during long term parking and/or the transient stops. A two-layer power-flow controller for bidirectional wireless power transfer system (...
Mohamed, A. and Mohammed, O. Florida International University
Dec 31, 2017
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