Evaluation of an Autonomous Control Scheme for Interconnected DC Microgrids Using a Power Hardware-in-the-Loop Platform
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Gonzalez-Candelario, Carlos O.↗
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Testing Machine Learned Fault Detection and Classification on a DC Microgrid.
Abstract not provided.
Ojetola, Samuel↗
Coordination of Ultrafast Solid-State Circuit Breakers in Radial DC Microgrids
Not provided.
Engineering↗
Hardware Implementation of a Traveling Wave Protection Device for DC Microgrids
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Paruthiyil, Sajay↗
Maximum Power Point Tracking and Voltage Control in a Solar-PV based DC Microgrid Using Simulink.
Abstract not provided.
Miyagishima, Frank↗
Autonomous Control Strategies for Interconnected DC Microgrid Applications with Multiple DER Resource Penetration.
Abstract not provided.
Gonzalez-Candelario, Carlos O.↗
Dynamic Nonlinear Droop Control (DNDC): A Novel Primary Control Method for DC Microgrids
Not provided.
Engineering↗
Integration of AC and DC Microgrids with Battery Energy Storage System (BESS).
Abstract not provided.
Atcitty, Stanley↗
Testing Machine Learned fault Detection and Classification on a DC Microgrid.
Abstract not provided.
Ojetola, Samuel↗
PVSC 2022 Poster Development of Hierarchical Control for a Lunar Habitat DC Microgrid Model Using Power Hardware-in-the-Loop.
Abstract not provided.
Dow, Andrew↗
Analysis and Testing of Optimal Power Control Strategy for NASA Moon Base Interconnected DC Microgrid System
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Rashkin, Lee Joshua↗
Time Series Classification for Detecting Fault Location in a DC Microgrid
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Ojetola, Samuel Toluwanimi↗
Analysis and Testing of Optimal Power Control Strategy for NASA Moon Base Interconnected DC Microgrid System
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Rashkin, Lee Joshua↗
Robust Autonomous and Fault-tolerant DC Microgrid Development for Long-Term Lunar Habitation.
Abstract not provided.
Flicker, Jack David↗
Development of Hierarchical Control for a Lunar Habitat DC Microgrid Model Using Power Hardware-in-the-Loop.
Abstract not provided.
Darbali-Zamora, Rachid↗
Hamiltonian surface shaping power flow modeling and control design of DC microgrids
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Wilson, David Gerald↗
Resilient, Rural, and Revolutionary: Salisbury Square's Direct-Current Affordable Microgrid Community: Preprint
The technology to interconnect buildings with a dedicated direct-current (DC) power distribution network is in place today; what is missing is a turnkey approach to designing a DC microgrid - and the business models allowing such systems to be deployed, owned, and operated at scale. To close this gap, the Salisbury Square Development Team, comprising clean-energy experts, has engineered a resilient community DC microgrid for an affordable housing community in Randolph, Vermont. Ten single-family, occupant-owned residences and 12 multifamily rental units will share locally generated and stored solar energy via a DC power distribution bus capable of operating during extended grid outages. With a DC power distribution network in place, each home will be equipped with high-efficiency DC lighting and appliances, operating alongside alternating current (AC) appliances, even during an islanded mode of operation. To obtain a comprehensive understanding of what is possible and achievable, the Team collaborated with the local utility, regulatory agencies, a national laboratory, energy-as-service providers, and vendors. The collaborators evaluated microgrid typologies, business models, and energy modeling, and analyzed electrification and resilience. Further, the Team applied the URBANoptTM (Urban Renewable Building and Neighborhood optimization, NREL 2022) software development kit (SDK) to Salisbury Square's single-family and multifamily buildings to validate workflows and identify needs for advanced capability. This paper addresses the barriers to entry, scalability, and impact on residents and system ownership. It also examines the analysis that informed the design and engineering of the DC microgrid and the opportunities to streamline the process.
DER↗