Decompositions of injection patterns for nodal flow allocation in renewable electricity networks

Mirko Schäfer (), Bo Tranberg, Sabrina Hempel, Stefan Schramm and Martin Greiner
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Mirko Schäfer: Aarhus University
Bo Tranberg: Aarhus University
Sabrina Hempel: Frankfurt Institute for Advanced Studies
Stefan Schramm: Frankfurt Institute for Advanced Studies
Martin Greiner: Aarhus University

The European Physical Journal B: Condensed Matter and Complex Systems, 2017, vol. 90, issue 8, 1-11

Abstract: Abstract The large-scale integration of fluctuating renewable power generation represents a challenge to the technical and economical design of a sustainable future electricity system. In this context, the increasing significance of long-range power transmission calls for innovative methods to understand the emerging complex flow patterns and to integrate price signals about the respective infrastructure needs into the energy market design. We introduce a decomposition method of injection patterns. Contrary to standard flow tracing approaches, it provides nodal allocations of link flows and costs in electricity networks by decomposing the network injection pattern into market-inspired elementary import/export building blocks. We apply the new approach to a simplified data-driven model of a European electricity grid with a high share of renewable wind and solar power generation.

Keywords: Statistical; and; Nonlinear; Physics (search for similar items in EconPapers)
Date: 2017
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Citations: View citations in EconPapers (5)

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DOI: 10.1140/epjb/e2017-80200-y

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