Financially optimized scheduling of electric energy storage in presence of renewable energy resources

Narimani, Afsaneh, Nourbakhsh, Ghavameddin, Ledwich, Gerard, Walker, Geoffrey R., & Ghasemi, Negareh (2015) Financially optimized scheduling of electric energy storage in presence of renewable energy resources. In Proceedings of the IEEE 6th International Symposium on Power Electronics for Distributed Generation, IEEE, Aachen, Germany, pp. 1-5.

View at publisher


The increasing integration of Renewable Energy Resources (RER) and the role of Electric Energy Storage (EES) in distribution systems has created interest in using energy management strategies. EES has become a suitable resource to manage energy consumption and generation in smart grid. Optimize scheduling of EES can also maximize retailer’s profit by introducing energy time-shift opportunities. This paper proposes a new strategy for scheduling EES in order to reduce the impact of electricity market price and load uncertainty on retailers’ profit. The proposed strategy optimizes the cost of purchasing energy with the objective of minimizing surplus energy cost in hedging contract. A case study is provided to demonstrate the impact of the proposed strategy on retailers’ financial benefit.

Impact and interest:

0 citations in Scopus
Search Google Scholar™

Citation counts are sourced monthly from Scopus and Web of Science® citation databases.

These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science® generally from 1980 onwards.

Citations counts from the Google Scholar™ indexing service can be viewed at the linked Google Scholar™ search.

Full-text downloads:

68 since deposited on 27 Jul 2015
29 in the past twelve months

Full-text downloads displays the total number of times this work’s files (e.g., a PDF) have been downloaded from QUT ePrints as well as the number of downloads in the previous 365 days. The count includes downloads for all files if a work has more than one.

ID Code: 86028
Item Type: Conference Paper
Refereed: Yes
Additional URLs:
DOI: 10.1109/PEDG.2015.7223061
ISBN: 978-1-4799-5115-4
Divisions: Current > Schools > School of Electrical Engineering & Computer Science
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Copyright Owner: Copyright 2015 [Please consult the author]
Deposited On: 27 Jul 2015 22:17
Last Modified: 18 Sep 2015 02:02

Export: EndNote | Dublin Core | BibTeX

Repository Staff Only: item control page