Distributed Power Management of Renewable Energy Resources for Grid Stabilization

Abstract

To increase the share of distributed energy resources (DER), they needto provide grid supporting ancillary services. In order to fulfill largeenergy products, virtual power plants (VPP) aggregate many small DER. Inthis paper we present an agent-based approach to the optimizationproblem of scheduling the DER of a VPP. We compare our approach whichuses a evolutionary algorithm to one that uses a mathematical solver.When comparing the two approaches we found that our approachapproximates the optimal solution well. The central benefit of ourapproach is that it scales better wrt. the VPP size. The increasedscalability opens the ancillary services market to VPPs that aggregatemore and smaller DERs.