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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
Power-Hardware-in-the-Loop Interfaces for Inverter-Based Microgrid Experiments Including Transitions
Microgrids continue to proliferate, particularly those that rely on inverter-based resources as the microgrid's voltage and frequency leader. Hardware-in-the-loop simulations can de-risk microgrid deployments, and therefore we need power hardware-in-the-loop (PHIL) interfaces for ...
Pratt, A. et al NLR
Dec 31, 2022
Validation of Microgrid Algorithms using At-Scale Simulation and Emulation Real-Time (ASSERT) Framework
This paper presents a novel framework for validating microgrid algorithms using a At-Scale Simulation and Emulation Real-Time (ASSERT) setup. The proposed universal microgrid validation framework was developed at Advanced Research on Integrated Energy Systems (ARIES) platform at N...
Chanda, S. et al NLR
Dec 31, 2022
Remote Hardware-in-the-Loop Approach for Microgrid Controller Evaluation
Utilities have been installing microgrids because of the increased resilience and reliability advantages they may provide to the distribution system. A microgrid controller is a critical component in microgrids. It is of great benefit to derisk the installation of microgrid contro...
Prabakar, K. et al NLR
Feb 29, 2020
Decentralized Microgrid Protection Through Relative Fault Direction Classification: Preprint
Protection in inverter-based resources (IBRs) dominated microgrids generally face significant challenges due to the low fault current and inconsistent fault behaviors from IBRs. Recently, machine learning-based approaches have attracted considerable attention to address these chal...
Chen, Y. et al NLR
Aug 31, 2024
Evaluation of Distributed Power Apportioning with Net Load Management Engine in Microgrids Using Power Hardware-in-the-Loop Simulation
This article presents the performance evaluation of ratio consensus-based distributed power apportioning engine along with centralized net load management (NLM) engine that ensures viable and stable operation of an islanded microgrid. Managing net load variability in a microgrid w...
Chakraborty, S. et al University of Minnesota
Dec 31, 2022
Phase I Microgrid Cost Study: Data Collection and Analysis of Microgrid Costs in the United States
The U.S. Department of Energy (DOE) Office of Electricity Microgrid Cost Study project is looking at identifying the costs of components, integration and installation of U.S. microgrids and project cost improvements and technical accelerators over the next 5 years and beyond. This...
Giraldez Miner, J. et al NLR
Oct 31, 2018
Microreactor Application Research Validation and Evaluation Project (MARVEL)
Two-page overview of the MARVEL test bed approximately 85-kWth, NaK-cooled, targeting 10-20 kWe located at INL's TREAT site. The fact sheet describes objectives, configuration (fuel, coolant, and power-conversion approach), and planned research on load following, process heat deli...
, . Idaho National Laboratory
Jun 01, 2025
Improved Control Strategy of Grid-Forming Inverters for Fault Ride-Through in a Microgrid System
This paper develops an improved control strategy of grid-forming (GFM) inverters with fault ride-through capabilities to guarantee the stable operation of microgrids under fault conditions, especially islanded microgrids and asymmetrical faults. The proposed control strategy inclu...
Wang, J. NLR
Dec 31, 2021
Study of Seamless Microgrid Transition Operation Using Grid-Forming Inverters
This paper investigates operational techniques to achieve seamless (smooth) microgrid (MG) transitions by dispatching a grid-forming (GFM) inverter. In traditional approaches, the GFM inverter must switch between grid-following (GFL) and GFM control modes during MG transition oper...
Wang , J. et al NLR
Dec 31, 2022
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