Energy Management of AC Residential Microgrids Using Advanced Fuzzy Inference Method

This article presents an innovative Energy management control technique using Fuzzy Inference System (FIS) for an AC microgrid to reduce grid dependency. The primary focus of this article is to reduce grid power fluctuations in an AC microgrid to improve stability and resilience of the system. This microgrid considering a typical residential system that consists of a Photovoltaic (PV) system, Battery Energy Storage System, inverters, and household Load. The cost function is based on imported power from the utility grid and only considering the peak electricity rate for optimum solution. The Fuzzy analysis method shows the benefit to operate and optimise the household microgrid in peak loading condition and fully enhance the battery storage system state of charge.