Surmann, ArneArneSurmannChantrel, S.S.ChantrelFischer, D.D.FischerKohrs, RobertRobertKohrsWittwer, ChristofChristofWittwer2022-03-142022-03-142019https://publica.fraunhofer.de/handle/publica/405617This paper introduces a simulation framework to test agent based energy management systems during the development state. The management target is to match electrical demand and supply within a given energy community. To reach this goal, a pricing mechanism provides an economic incentive for agents to shift the controllable load to favourable times. The agent itself consists of a communication module, a Blockchain based billing module, a flexibility forecast tool, a decision making module, and a control unit. To test the performance of multiple agents, a simulation framework is presented which uses the bottom-up load and flexibility generator synPRO. The functionality of the whole framework is explained with special emphasis on the modules using the load and flexibility generator.enLeistungselektronikNetze und Intelligente Systemeenergy system modelingFlexibilitätload profilesEnergiesystemtechnikIKT für Energiesysteme621697Stochastic Bottom-up Framework for Load and Flexibility for Agent Based Controls of Energy Communitiesconference paper