Adaptive power smoothing control in grid-connected and islanding modes of hybrid micro-grid energy management

Mir Nahidul Ambia, Ahmed Al-Durra

Research output: Contribution to journalArticlepeer-review

5 Scopus citations


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.

Original languageBritish English
Article number033104
JournalJournal of Renewable and Sustainable Energy
Issue number3
StatePublished - 1 May 2015


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