A multiagent framework to model the interactions of local energy communities and power systems

Encouraged by the Clean Energy for all Europeans package, small-scale distributed electricity generation (both individual prosumership projects and local energy communities) is expected to increase in the coming years, impacting on the planning and operation of smart grids. This work aims to assess how the operation of a residential local energy community (LEC) is affected when it receives different signals from the power grid, encouraging or penalizing the injection of self-generated electricity surpluses. Optimization processes are integrated into a multiagent framework to model the LEC and agents' individual and collective objectives are exploited. The results show how individual electricity costs and collective self-consumption rates change across different incentive/penalty scenarios.