Hierarchical safety control for micro energy grids using adaptive neuro-fuzzy decision making method

摘要

In this paper a multi-level safety hierarchical control of a micro energy grid (MEG) is proposed. The MEG is mainly consisting electricity, heating and cooling energy systems which comprises renewable energy resources (i.e. photovoltaic (PV) and wind turbine (WT)) and thermal energy storage (TES). The majority of power electricity and heating are generated by co-generator (CG) gas turbine with assistance of renewable sources, which considered as eco-friendly gas emission as well as free energy production but on the other hand it has accompanied intermittency on energy production depends on varying weather conditions. This may affect the quality and reliability of the energy production and service if not properly controlled and coordinated. Therefore, to achieve an optimum and resilient performance of the micro energy grid, a hierarchical control is necessary and mandatory. A three level hierarchical control scheme for the MEG is offered with a use of adaptive-network-based fuzzy inference system (ANFIS).