Stochastic bottom-up framework for load and flexibility for agent based controls of energy communities

Abstract

This 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 thecontrollable 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 flexibilitygenerator synPRO. The functionality of the whole framework is explained with special emphasis on the modules using the load and flexibility generator.