Distributed ledger technology for fully automated congestion management

Nieße, Astrid; Ihle, Norman; Balduin, Stephan; Postina, Matthias; Tröschel, Martin; Lehnhoff, Sebastian

doi:10.1186/s42162-018-0033-3

Cited by 7 publications

(3 citation statements)

References 9 publications

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“…However, we note that not all Blockchain applications may solely be regarded as energy-intensive consumers (Albrecht et al 2018). For example, Nieße et al (2018) reflect Blockchain as a technology to manage parts of the energy system by introducing a Blockchain-based system for congestion management. Moreover, for example, Utz et al (2019) propose a Blockchain-based smart contract system for shared energy assets, while Wu and Tran (2018) review several Blockchain applications, e.g., for carbon emissions certification and trading.…”

Section: Bitcoin Miningmentioning

confidence: 99%

Not All Doom and Gloom: How Energy-Intensive and Temporally Flexible Data Center Applications May Actually Promote Renewable Energy Sources

et al. 2021

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To achieve a sustainable energy system, a further increase in electricity generation from renewable energy sources (RES) is imperative. However, the development and implementation of RES entail various challenges, e.g., dealing with grid stability issues due to RES’ intermittency. Correspondingly, increasingly volatile and even negative electricity prices question the economic viability of RES-plants. To address these challenges, this paper analyzes how the integration of an RES-plant and a computationally intensive, energy-consuming data center (DC) can promote investments in RES-plants. An optimization model is developed that calculates the net present value (NPV) of an integrated energy system (IES) comprising an RES-plant and a DC, where the DC may directly consume electricity from the RES-plant. To gain applicable knowledge, this paper evaluates the developed model by means of two use-cases with real-world data, namely AWS computing instances for training Machine Learning algorithms and Bitcoin mining as relevant DC applications. The results illustrate that for both cases the NPV of the IES compared to a stand-alone RES-plant increases, which may lead to a promotion of RES-plants. The evaluation also finds that the IES may be able to provide significant energy flexibility that can be used to stabilize the electricity grid. Finally, the IES may also help to reduce the carbon-footprint of new energy-intensive DC applications by directly consuming electricity from RES-plants.

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Section: Bitcoin Miningmentioning

confidence: 99%

Not All Doom and Gloom: How Energy-Intensive and Temporally Flexible Data Center Applications May Actually Promote Renewable Energy Sources

et al. 2021

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“…CF can support in different ways, a) reduce the complexity of distributed control systems and b) allow for small weather-dependent DERs to compete with big power plants like coal or gas plants. For example, either Virtual Power Plants (VPP) [4,5], or clusters of microgrids can be formed to create dynamic optimization approaches which can cope with uncertainty, aggregate flexibility, or even execute distributed optimal power flow (OPF) variations [6,7].…”

Section: Introductionmentioning

confidence: 99%

Influence of Adaptive Coupling Points on Coalition Formation in Multi-Energy Systems

Schrage

Nieße

2023

Preprint

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The share and variants of coupling points (CPs) between different energy carrier networks (such as the gas or power grids) are increasing, which results in the necessity of the analysis of so-called multi-energy systems (MES). One approach is to consider the MES as a graph network, in which coupling points are modeled as edges with energy efficiency as weight. On such a network, local coalitions can be formed using multi-agent systems leading to a dynamic graph partitioning, which can be a prerequisite for the efficient decentralized system operation. However, the graph can not be considered static, as the energy units representing CPs can shut down, leading to network decoupling and affecting graph partitions. This paper aims to evaluate the effect of network adaptivity on the dynamics of an exemplary coalition formation approach from a complex network point of view using a case study of a benchmark power network extended to an MES. This study shows: first, the feasibility of complex network modeling of MES as a cyber-physical system; second, how the coalition formation system behaves, how the coupling points impact this system, and how these impact metrics relate to the CP node attributes.

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“…Distributed control and optimization systems often involve multiple energy units that decide locally and communicate with each other to solve global problems. For instance, software agents can represent flexible energy loads that cooperatively aggregate flexibility to provide load dispatch options for balancing markets or congestion management [5] [6] [7].…”

Section: Introductionmentioning

confidence: 99%

Dynamic communication topologies for distributed heuristics in energy system optimization algorithms

Holly¹,

Nieße²

2021

Preprint

Self Cite

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The communication topology is an essential aspect in designing distributed optimization heuristics. It can influence the exploration and exploitation of the search space and thus the optimization performance in terms of solution quality, convergence speed and collaboration costs -relevant aspects for applications operating critical infrastructure in energy systems. In this work, we present an approach for adapting the communication topology during runtime, based on the principles of simulated annealing. We compare the approach to common static topologies regarding the performance of an exemplary distributed optimization heuristic. Finally, we investigate the correlations between fitness landscape properties and defined performance metrics.

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Distributed ledger technology for fully automated congestion management

Cited by 7 publications

References 9 publications

Not All Doom and Gloom: How Energy-Intensive and Temporally Flexible Data Center Applications May Actually Promote Renewable Energy Sources

Not All Doom and Gloom: How Energy-Intensive and Temporally Flexible Data Center Applications May Actually Promote Renewable Energy Sources

Influence of Adaptive Coupling Points on Coalition Formation in Multi-Energy Systems

Dynamic communication topologies for distributed heuristics in energy system optimization algorithms

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