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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
Centrax CXA05 KB7 HE 5.7MW Gas Turbine Generator Set
Using Siemens Energy gas turbine technology, Centrax has designed generator packages to suit a wide range of industries and power applications, including district heating, oil or gas, hospitals, and energy-intensive industries. Every package uses reliable, high-performance Siemens...
Jones, S. Centrax Gas Turbines
Jul 03, 2026
2 Resources
2 Resources
Miracl Valuation Tool
Part of NREL's MIRACL effort, the toolset estimates value streams, such as reliability and outage cost reduction, energy and demand charge impacts, and emissions benefits across stakeholders. Supports planning for isolated grids, grid-connected microgrids, and hybrid systems.
, . Pacific Northwest National Laboratory
Jan 01, 2022
PRAS: Probabilistic Resource Adequacy Suite
PRAS is a modeling suite developed by NREL that performs probabilistic resource adequacy assessments for power systems. It incorporates weather variability, generator outages, and demand uncertainty to estimate metrics such as loss of load expectation (LOLE). Users can explore how...
NLR
Apr 20, 2025
Electricity Data Browser
The U.S. Energy Information Administration's Electricity Data Browser provides interactive charts, maps, and downloadable tables on generation, demand, fuel mix, prices, capacity, and emissions. Users can compare time series, build custom views, and export datasets at national, st...
, . U.S. Energy Information Administration
Dec 01, 2025
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
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