A Service Quality Indicator for Apriori Assessment and Comparison of Cellular Energy Grids

Egert, Rolf; Tundis, Andrea; Roth, S.; Mühlhäuser, Max

doi:10.1007/978-3-030-04293-6_32

Cited by 3 publications

(3 citation statements)

References 17 publications

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“…For the penalty function used in this work, five sub-functions are considered for penalizing the solutions found by our BACO algorithm. The sub-functions are g i (•) with i ∈ {ds, st, sat, eco, holon} and consider several criteria related to resilience [9] and holons for the optimization process:…”

Section: Penalty Functionmentioning

confidence: 99%

“…Novel and updated grid architectures and control schemes are required to address the challenges stated above. In this context, related work investigated cellular-and micro-grids as suitable architectures to support the stability of future energy grids by enabling the separation of energy grids into subparts [7][8][9]. Based on these architectures, novel concepts were developed that leverage the properties of these architectures to support the resilient operation of energy grids [10][11][12].…”

Section: Introductionmentioning

confidence: 99%

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Holonic System Model for Resilient Energy Grid Operation

et al. 2021

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The transformation of energy grids towards smart grids is driven by numerous political, economic, and ecological goals. As part of this process, the centralized top-down architecture of energy grids changes towards increasingly decentralized structures. It is widely accepted that the challenges emerging from this transition threaten the resilient operation of energy grids. For instance, the volatility of renewable energy sources challenges the required balance between demand and supply; their distribution in the energy grid likewise complicates their coordination. Holarchies are a promising (systems-of-systems) architectural pattern for smart grids fostering fast isolation and self-sustained operation of subparts (so-called holons), as well as supporting dynamic reconfigurations of the grid’s structure. To leverage these properties to increase the resilience of smart grids, we propose a system model that combines a holonic architecture and locally available resources offered by prosumers. Our model organizes the participants in the grid as holarchy and enables the application of fine-grained control mechanisms. We show the capabilities of the model by resolving an overproduction situation and a situation of severe electricity scarcity using a modified binary ant colony optimization approach. Our evaluation with the simulation environment HOLEG shows that the system model and the proposed algorithm can quickly mitigate balancing problems in holonic energy grids.

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Section: Penalty Functionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Holonic System Model for Resilient Energy Grid Operation

et al. 2021

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“…The result of such evolution which makes those systems more intelligent is named as Smart Grid (SG) [1,2]. The advantage of having software components in the network enables the introduction of more sophisticated mechanisms for monitoring the SG as well as to support, in a more effective way, the decision process for the dynamic energy distribution according to the current use of energy, resource state and weather conditions [3,4,5,6]. Additionally, from the consumer perspective, specific optimization techniques can be exploited for managing the scheduling of the device usage (for example based on specific hours of the day or week according to the electricity costs) in order to save money.…”

Section: Introductionmentioning

confidence: 99%

A Feature-Based Model for the Identification of Electrical Devices in Smart Environments

Tundis

Faizan

Mühlhäuser

2019

Sensors

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Smart Homes (SHs) represent the human side of a Smart Grid (SG). Data mining and analysis of energy data of electrical devices in SHs, e.g., for the dynamic load management, is of fundamental importance for the decision-making process of energy management both from the consumer perspective by saving money and also in terms of energy redistribution and reduction of the carbon dioxide emission, by knowing how the energy demand of a building is composed in the SG. Advanced monitoring and control mechanisms are necessary to deal with the identification of appliances. In this paper, a model for their automatic identification is proposed. It is based on a set of 19 features that are extracted by analyzing energy consumption, time usage and location from a set of device profiles. Then, machine learning approaches are employed by experimenting different classifiers based on such model for the identification of appliances and, finally, an analysis on the feature importance is provided.

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Risikomanagement in der energieorientierten Produktionsplanung und -steuerung

Roth¹,

Reinhart²

2019

Zeitschrift Für Wirtschaftlichen Fabrikbetrieb

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Kurzfassung Stromkosten stellen im Rahmen der Energiewende einen zunehmend wichtigen Wettbewerbsfaktor für die Industrie dar. Der durch die energieorientierte Produktionsplanung ermittelte Strombedarf von Produktionsmaschinen und Anlagen wird im Vorfeld an den Strommärkten mit der Verpflichtung beschafft, diesen innerhalb bestimmter Toleranzen am entsprechenden Produktionstag zu verbrauchen. Treten in der laufenden Produktion Störungen auf, können die damit verbundenen Abweichungen vom eingeplanten Stromverbrauch hohe Strafkosten verursachen. Dieser Beitrag zeigt Ansatzpunkte für ein Risikomanagement im Rahmen der Produktionsplanung und -steuerung auf und beschreibt mögliche Kompensationsmaßnahmen aus der betrieblichen Praxis.

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A Service Quality Indicator for Apriori Assessment and Comparison of Cellular Energy Grids

Cited by 3 publications

References 17 publications

Holonic System Model for Resilient Energy Grid Operation

Holonic System Model for Resilient Energy Grid Operation

A Feature-Based Model for the Identification of Electrical Devices in Smart Environments

Risikomanagement in der energieorientierten Produktionsplanung und -steuerung

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