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An experimental and simulation study on optimisation of the operation of a distributed power generation system with energy storage - meeting dynamic household electricity demand.

Ji, J. and Xia, X. and Ni, W. and Teng, K. and Miao, C. and Wang, Y. and Roskilly, T. (2019) 'An experimental and simulation study on optimisation of the operation of a distributed power generation system with energy storage - meeting dynamic household electricity demand.', Energies., 12 (6). p. 1091.

Abstract

There are few experimental reports combining hybrid energy storage and diesel engine generators as the power source of distributed power generation systems. In this article, a distributed power generation with energy storage system (DG-ES) which contains a diesel engine generator and an energy storage unit is set up and tested in the laboratory to satisfy the dynamic changing load. The hybrid energy storage system is composed of a lead-acid battery and a supercapacitor. The DG-ES supplied power to meet the domestic load demand successfully under different seasons. A simulation model of this system was also set up in MATLAB software used to guide to the experimental operation of this system. The simulation results has 2.69% and 2.35% error. The results of the experimental tests show the DG-ES can provide enough power to meet the dynamic loads of the selected house, especially at peak time in both winter and summer time. Computational simulation results show that the performance of DG-ES is improved by 3.61% in summer and 1.86% in winter when the system’s operations are optimised.

Item Type:Article
Full text:(VoR) Version of Record
Available under License - Creative Commons Attribution.
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Status:Peer-reviewed
Publisher Web site:https://doi.org/10.3390/en12061091
Publisher statement:© This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Date accepted:16 March 2019
Date deposited:27 November 2019
Date of first online publication:21 March 2019
Date first made open access:27 November 2019

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