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Title: Digital Twins for Creating Virtual Models of Solar Photovoltaic Plants
Amidst the challenges posed by the high penetration of distributed energy resources (DERs), particularly a number of distributed photovoltaic plants (DPVs), in modern electric power distribution systems (MEPDS), the integration of new technologies and frameworks become crucial for addressing operation, management, and planning challenges. Situational awareness (SA) and situational intelligence (SI) over multi-time scales is essential for enhanced and reliable PV power generation in MEPDS. In this paper, data-driven digital twins (DTs) are developed using AI paradigms to develop actual and/or virtual models of DPVs, These DTs are then applied for estimating and forecasting the power outputs of physical and virtual PV plants. Virtual weather stations are used to estimate solar irradiance and temperature at user-selected locations in a localized region, using inferences from physical weather stations. Three case studies are examined based on data availability: physical PV plant, hybrid PV plants, and virtual PV plants, generating realtime estimations and short-term forecasts of PV power production that can support distribution system studies and decision-making.  more » « less
Award ID(s):
2234032
PAR ID:
10513116
Author(s) / Creator(s):
;
Publisher / Repository:
IEEExplore
Date Published:
Journal Name:
IEEE SSCI
ISSN:
1558-058X
Subject(s) / Keyword(s):
AI, distributed energy resources, digital twin, power distribution systems, weather stations, virtual systems
Format(s):
Medium: X
Sponsoring Org:
National Science Foundation
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