Constrained Optimization as the Allocation Method in Local Flexibility Markets

Andreas Zeiselmair and Simon Köppl
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Andreas Zeiselmair: Forschungsstelle für Energiewirtschaft e.V. (FfE), Am Blütenanger 71, 80995 Munich, Germany
Simon Köppl: Forschungsstelle für Energiewirtschaft e.V. (FfE), Am Blütenanger 71, 80995 Munich, Germany

Energies, 2021, vol. 14, issue 13, 1-21

Abstract: Local flexibility markets or smart markets are new tools used to harness regional flexibility for congestion management. In order to benefit from the available flexibility potential for grid-oriented or even grid-supportive applications, complex but efficient and transparent allocation is necessary. This paper proposes a constrained optimization method for matching the flexibility demand of grid operators to the flexibility supply using decentralized flexibility options located in the distribution grid. Starting with a definition of the operational and stakeholder environment of smart market design, various existing approaches are analyzed based on a literature review and a resulting meta-analysis. In the next step, a categorization of the allocation method is conducted followed by the definition of the optimization goal. The optimization problem, including all relevant input parameters, is identified and formulated by introducing the relevant boundary conditions and constraints of flexibility demand and offers. A proof of concept of the approach is presented using a case study and the Altdorfer Flexmarkt (ALF) field test within the project C/sells. In this paper, we analyze the background of the local flexibility market, provide the methodology (including publishing the code of the matching mechanism), and provide the results of the field test.

Keywords: local flexibility market; flexibility platform; smart market; grid-supportive flexibility; flexibility allocation; matching; linear optimization; constrained optimization; congestion management (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
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

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