Datum
2022-01-26Metadata
Zur Langanzeige
Aufsatz
The Vision of Self-Management in Cognitive Organic Power Distribution Systems
Zusammenfassung
Due to the ongoing trend towards a decarbonisation of energy use, the power system is expected to become the backbone of all energy sectors and thus the fundamental critical infrastructure. High penetration with distributed energy resources demands the coordination of a large number of prosumers, partly controlled by home energy management systems (HEMS), to be designed in such a way that the power system’s operational limits are not violated. On the grid level, distribution management systems (DMS) seek to keep the power system in the normal operational state. On the prosumer level, distributed HEMS optimise the internal power flows by setpoint specification of batteries, photovoltaic generators, or flexible loads. The vision of the ODiS (Organic Distribution System) initiative is to develop an architecture to operate a distribution grid reliably, with high resiliency, and fully autonomously by developing “organic” HEMS and DMS which possess multiple self-x capabilities, collectively referred to as self-management. Thus, ODiS seeks answers to the following question: How can we create the most appropriate models, techniques, and algorithms to develop novel kinds of self-configuring, self-organising, self-healing, and self-optimising DMS that are integrally coupled with the distributed HEMS? In this concept paper, the vision of ODiS is presented in detail based on a thorough review of the state of the art.
Zitierform
In: Energies Volume 15 / Issue 3 (2022-01-26) eissn:1996-1073Förderhinweis
Gefördert durch den Publikationsfonds der Universität KasselZitieren
@article{doi:10.17170/kobra-202205106158,
author={Löser, Inga and Braun, Martin and Gruhl, Christian and Menke, Jan-Hendrik and Sick, Bernhard and Tomforde, Sven},
title={The Vision of Self-Management in Cognitive Organic Power Distribution Systems},
journal={Energies},
year={2022}
}
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2022-05-10T07:32:19Z 2022-05-10T07:32:19Z 2022-01-26 doi:10.17170/kobra-202205106158 http://hdl.handle.net/123456789/13821 Gefördert durch den Publikationsfonds der Universität Kassel eng Namensnennung 4.0 International http://creativecommons.org/licenses/by/4.0/ cognitive energy systems organic computing power system home energy management system distribution management system self-configuration; self-organisation self-healing self-optimisation 004 The Vision of Self-Management in Cognitive Organic Power Distribution Systems Aufsatz Due to the ongoing trend towards a decarbonisation of energy use, the power system is expected to become the backbone of all energy sectors and thus the fundamental critical infrastructure. High penetration with distributed energy resources demands the coordination of a large number of prosumers, partly controlled by home energy management systems (HEMS), to be designed in such a way that the power system’s operational limits are not violated. On the grid level, distribution management systems (DMS) seek to keep the power system in the normal operational state. On the prosumer level, distributed HEMS optimise the internal power flows by setpoint specification of batteries, photovoltaic generators, or flexible loads. The vision of the ODiS (Organic Distribution System) initiative is to develop an architecture to operate a distribution grid reliably, with high resiliency, and fully autonomously by developing “organic” HEMS and DMS which possess multiple self-x capabilities, collectively referred to as self-management. Thus, ODiS seeks answers to the following question: How can we create the most appropriate models, techniques, and algorithms to develop novel kinds of self-configuring, self-organising, self-healing, and self-optimising DMS that are integrally coupled with the distributed HEMS? In this concept paper, the vision of ODiS is presented in detail based on a thorough review of the state of the art. open access Löser, Inga Braun, Martin Gruhl, Christian Menke, Jan-Hendrik Sick, Bernhard Tomforde, Sven doi:10.3390/en15030881 Energiemanagement Energieversorgung Power-Management Organic Computing publishedVersion eissn:1996-1073 Issue 3 Energies Volume 15 false 881
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