@inproceedings{18979e01a2574cd2ad09c002c4f7ed85,
title = "Smart energy management system for distributed generations in AC microgrid",
abstract = "This paper proposes a novel smart energy management system (EMS) for distributed generations (DGs) in AC microgrid. The considered microgrid consists of two DGs, energy storage system, and loads. The solar PV system and the wind energy conversion system (WECS) are selected as an input power source of DGs. Model predictive control technique is used to regulate each DG's output current whereas adaptive neuro-fuzzy inference system (ANFIS) based EMS is developed to manage the available energy in AC microgrid. The proposed method is validated analytically and through Hardware-in-the-Loop (HIL) experiments. The carried out HIL experiments prove the merit of the proposed method.",
keywords = "Demand response, Distributed generation, Local energy market, Renewable energy",
author = "Sertac Bayhan and Haitham Abu-Rub",
note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 13th IEEE International Conference on Compatibility, Power Electronics and Power Engineering, CPE-POWERENG 2019 ; Conference date: 23-04-2019 Through 25-04-2019",
year = "2019",
month = apr,
doi = "10.1109/CPE.2019.8862356",
language = "English",
series = "Proceedings - 2019 IEEE 13th International Conference on Compatibility, Power Electronics and Power Engineering, CPE-POWERENG 2019",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "Proceedings - 2019 IEEE 13th International Conference on Compatibility, Power Electronics and Power Engineering, CPE-POWERENG 2019",
address = "United States",
}