Distributed Energy Resources Management: From Digital Twin to Digital Platform

Kovalyov, Serge P.

doi:10.1016/j.ifacol.2022.07.080

Cited by 10 publications

(3 citation statements)

References 14 publications

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“…Based on the innovation adoption theories discussed in [84], a logistic growth function, Equation (5), is used for the adoption of EVs and PV equipment across the consumer agent populations.…”

Section: Case\der Type Electric Vehicles Photovoltaicsmentioning

confidence: 99%

“…In response to these challenges, the adoption of Digital Twin (DT) technology presents a promising solution to enhance the visibility and manageability of physical systems within the energy domain [4]. DT technology enables the testing, optimization, and validation of design and control decisions in a virtual space before implementation in the real world, aiming to improve economic outcomes in DER management [5]. simulate the PV power output and ensure the normal operation of the system, contributing to comprehensive fault detection and optimization strategies [14].…”

Section: Introductionmentioning

confidence: 99%

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A Digital Twin Framework for Simulating Distributed Energy Resources in Distribution Grids

Værbak,

Billanes,

Jørgensen

et al. 2024

Energies

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As the adoption of distributed energy resources (DERs) grows, the future of electricity distribution systems is confronted with significant challenges. These challenges arise from the transformation of consumers into prosumers and the resulting increased system complexity, leading to more pressure on the distribution grids. To address this complexity, a Digital Twin framework is designed to simulate DERs within distribution grids effectively. This framework is structured around four key modules: DERs, the electricity distribution grid, the energy management system, and the consumers. It incorporates a communication interface to facilitate interactions among these modules and includes considerations for grid topologies and demand-side configurations. The framework allows for the exploration of various DER adoption rates and capacities. The validation of this framework involves case studies on two Danish distribution grids with scenarios incorporating rooftop photovoltaic (PV) systems, batteries, and electric vehicles, considering different combinations of these technologies. The findings demonstrate the framework’s ability to depict the states of the grid, PV systems, electric vehicles, and battery systems with a 10 min resolution over periods ranging from a day to over a decade.

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Section: Case\der Type Electric Vehicles Photovoltaicsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Digital Twin Framework for Simulating Distributed Energy Resources in Distribution Grids

Værbak,

Billanes,

Jørgensen

et al. 2024

Energies

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“…We conclude this section with our perspective on the current state of software platforms for DT and CDT utilization. Our view is based on the analysis of 49 commercial solutions listed in [63] and insights from three scientific sources: [64][65][66]: (1) concepts and general requirements that are recognized and specified verbally in [46], and (2) operational solutions. The latter, as discussed in [65], partly implement these concepts to address specific domain tasks using common technologies, yet they exhibited shallow standardization.…”

Section: Related Workmentioning

confidence: 99%

Towards a Domain-Neutral Platform for Sustainable Digital Twin Development

Savić,

Segedinac,

Konjović

et al. 2023

Sustainability

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In this paper, we propose an abstract domain-neutral architecture for a cognitive digital twin (CDT) and a software platform to develop such CDTs, including machine reasoning capabilities. Sustainable development refers here to an abstract model that enables a holistic view of limiting resources and has an ability to adapt to different application domains while reusing existing resources. The proposed solution allows for a unified abstract representation and the development of a wide range of diverse digital twins, as well as facilitating their interoperability. The abstract architecture consists of a four-layer structure (observation/actuation layer, data management layer, reasoning layer, and simulation layer) with an upper ontology to which the domain ontology of the specific CDT is mapped. The architecture relies on semantic web technologies, including ontology-based reasoning using OWL, and a loosely coupled, component-based service-oriented software architecture. The platform utilizes a microservice architecture that enables separate, loosely coupled services on each layer, message queues to provide asynchronous communication, and possesses cloud technologies to achieve scalability. The proposed approach was validated by implementing a software platform prototype and demonstrating its key features through two dissimilar scenarios. The first scenario demonstrates simple sustainable energy management through IoT systems inside smart buildings, while the second one demonstrates knowledge quality management based on knowledge space theory.

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