Cookies

We use cookies to ensure that we give you the best experience on our website. By continuing to browse this repository, you give consent for essential cookies to be used. You can read more about our Privacy and Cookie Policy.


Durham Research Online
You are in:

A bio-fuel power generation system with hybrid energy storage under a dynamic programming operation strategy.

Chen, X.-P. and Wang, Y.-D. and Wu, Q.-M. (2019) 'A bio-fuel power generation system with hybrid energy storage under a dynamic programming operation strategy.', IEEE access., 7 . pp. 64966-64977.

Abstract

This paper proposes a dynamic programming (DP)-based operational strategy for a biofuel distributed generation system with hybrid energy storage (BDG-HES). The proposed system consists of a biofuel-powered engine and a gen-set, six battery packs, a super-capacitor module, and four power electronic converters. It is primarily designed to meet the electrical demand of a typical UK family while the energy storage system can reduce the operating duration of the engine so as to improve the fuel efficiency. The DP, as an optimization strategy, is used to determine the operational scheme for the BDG-HES. In this paper, four case studies are carried out based on real-world measurement data. The test results have confirmed the effectiveness of the proposed methodology. The overall system efficiency is improved by approximately 19% over the operational range compared to a conventional gen-set based power system.

Item Type:Article
Full text:(VoR) Version of Record
Download PDF
(6648Kb)
Status:Peer-reviewed
Publisher Web site:https://doi.org/10.1109/ACCESS.2019.2911454
Publisher statement:© 2019 IEEE. Translations and content mining are permitted for academic research only. Personal use is also permitted, but republication/redistribution requires IEEE permission. See http://www.ieee.org/publications_standards/publications/rights/index.html for more information.
Date accepted:No date available
Date deposited:15 November 2019
Date of first online publication:17 April 2019
Date first made open access:15 November 2019

Save or Share this output

Export:
Export
Look up in GoogleScholar