Stochastic Bottom-up Framework for Load and Flexibility for Agent Based Controls of Energy Communities

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 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.