Intelligent energy management of distributed energy storage systems in microgrid

Arman, N. Azieroh, Logenthiran, Thillainathan and Woo, Wai Lok (2016) Intelligent energy management of distributed energy storage systems in microgrid. In: 2015 IEEE Innovative Smart Grid Technologies - Asia (ISGT ASIA). IEEE. ISBN 978-1-5090-1238-1

Full text not available from this repository.
Official URL:


The coordinated control and management of distributed generators and renewable energy resources together with controllable loads and storage systems are the most important and challenging tasks in micro grid operation. Micro grid can be operated in grid-connected mode or in islanded mode. Typically, energy storage systems are repeatedly proposed to support frequency and voltage control of micro grids. Due to the intermittency in renewable power generation and constantly changing load demand, charging and discharging of various energy storage systems in a micro grid needs to be appropriately coordinated. In islanded mode, the main responsibility of the storage is to perform energy balance. In grid-connected mode, the main goal is to prevent propagation of the renewable source intermittency and load fluctuations to the grid. In a renewable powered micro grid, a single type of energy storage systems cannot perform all these tasks efficiently. Hence, in intermittent nature of renewable energy sources, demands involve usage of storage with high energy density. At the same time, quick fluctuation of load demands requires storage with high power density. This project proposes a distributed energy storage system that contains both high energy density storage systems as well as high power density storage systems to meet the ever growing requirements. The effectiveness of the proposed approach is validated by various simulation results using HOMER software.

Item Type: Book Section
Uncontrolled Keywords: Smart grid, Microgrid, HOMER, Distributed energy storage, Islanded mode, Grid-connected mode
Subjects: G900 Others in Mathematical and Computing Sciences
H600 Electronic and Electrical Engineering
Department: Faculties > Engineering and Environment > Computer and Information Sciences
Depositing User: Becky Skoyles
Date Deposited: 05 Apr 2019 10:34
Last Modified: 10 Oct 2019 20:34

Actions (login required)

View Item View Item


Downloads per month over past year

View more statistics