Holonic System Model for Resilient Energy Grid Operation

Rolf Egert, Tim Grube, Florian Volk and Max Mühlhäuser
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Rolf Egert: Telecooperation Lab, Technische Universität Darmstadt, 64289 Darmstadt, Germany
Tim Grube: Telecooperation Lab, Technische Universität Darmstadt, 64289 Darmstadt, Germany
Florian Volk: Department of Computer Science and Business Informatics, Provadis School of International Management and Technology, 65929 Frankfurt am Main, Germany
Max Mühlhäuser: Telecooperation Lab, Technische Universität Darmstadt, 64289 Darmstadt, Germany

Energies, 2021, vol. 14, issue 14, 1-22

Abstract: 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.

Keywords: holonic systems; demand-side management; bio-inspired optimization (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
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