Anfis Based Energy Management System for Microgrids

Abstract

Microgrids are typical low or medium voltage distribution networks that operate on an adaptive system. Which, employing intelligent energy management techniques, govern the power exchange between the main grid, locally distributed generators (DGs), and associated loads. This paper describes and evaluates the intelligent ANFIS based energy management approach for grid integrated microgrid networks. The ANFIS based intelligent controller estimates the power that must be generated by (or) stored in batteries, taking into consideration of power demanded by loads and available battery power by accounting the battery state of charge. To evaluate the power allocation an artificial intelligent based technique i.e., Sugeno-based fuzzy EMS is implemented. The stated fuzzy logic control enhances power distribution within the micro-grid components while minimizing the requirement for power transfer to/from the main grid.