Articles you may be interested inA novel hierarchical energy management of a renewable microgrid considering static and dynamic frequency J. Renewable Sustainable Energy 7, 033118 (2015); 10.1063/1.4921772 Design and experimental investigations of a smart battery energy storage system for frequency control in microgrids J. Renewable Sustainable Energy 6, 023130 (2014); 10.1063/1.4873995 Development of a thermal and electrical energy management in residential building micro-grid J. Renewable Sustainable Energy 6, 013126 (2014); 10.1063/1.4863863 Fuzzy logic controller based power management for a standalone solar/wind/fuel cell fed hybrid system J. Renewable Sustainable Energy 5, 053147 (2013); 10.1063/1.4827315 Intelligent control of hybrid photo voltaic/fuel cell/energy storage power generation system J. Renewable Sustainable Energy 3, 043112 (2011);This paper presents an innovative technique for energy management of hybrid micro-grid system during grid connected and islanding modes by adaptive power smoothing control. In order to perform the adaptive power smoothing control, fuzzy logic control algorithm (FLCA) is incorporated with conventional control scheme of dc-dc buck boost converter of the battery energy storage system. A standard battery energy limiter is considered with the dc-dc buck boost controller as smoothing trip controller which can disable the smoothing operation if the state of charge of battery (SOC) exceeds its limits. A secondary frequency control and grid resynchronization technique for the converter between the AC and DC buses are considered for islanding and grid reconnected operations, respectively, to demonstrate the effectiveness of the adaptive technique in smoothing wind farm output power. The proposed FLCA adjusts its reference automatically during transition from grid mode to islanding mode and vice-versa based on the battery's SOC. Several cases have been tested where it has been verified that the FLCA can efficiently manage the SOC, while performing smoothing operation and maintain energy balance due to its adaptive nature instead of completely disabling the wind power smoothing at some extreme conditions. V C 2015 AIP Publishing LLC.