Distributed Power Management of Renewable Energy Resources for Grid Stabilization

Bengt Lüers (), Marita Blank () and Sebastian Lehnhoff ()
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Bengt Lüers: OFFIS - Institute for Information Technology
Marita Blank: OFFIS - Institute for Information Technology
Sebastian Lehnhoff: University of Oldenburg

A chapter in Advances and New Trends in Environmental Informatics, 2017, pp 143-152 from Springer

Abstract: Abstract To increase the share of distributed energy resources (DER), they need to provide grid supporting ancillary services. In order to fulfill large energy products, virtual power plants (VPP) aggregate many small DER. In this paper we present an agent-based approach to the optimization problem of scheduling the DER of a VPP. We compare our approach which uses a evolutionary algorithm to one that uses a mathematical solver. When comparing the two approaches we found that our approach approximates the optimal solution well. The central benefit of our approach is that it scales better wrt. the VPP size. The increased scalability opens the ancillary services market to VPPs that aggregate more and smaller DERs.

Keywords: Distributed power generation; Genetic algorithms; Multi-agent systems; Self-adaption; Scheduling; Unit commitment (search for similar items in EconPapers)
Date: 2017
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Persistent link: https://EconPapers.repec.org/RePEc:spr:prochp:978-3-319-44711-7_12

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DOI: 10.1007/978-3-319-44711-7_12

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