Skip to main content

Research Repository

Advanced Search

The effect of including power converter losses when modelling energy storage systems: a UK domestic study

Panagiotou, Konstantina; Klumpner, Christian; Sumner, M.

Authors

Konstantina Panagiotou

MARK SUMNER MARK.SUMNER@NOTTINGHAM.AC.UK
Professor of Electrical Energy Systems



Abstract

Energy storage systems (ESS) are seen as an increasingly important technology for managing electrical distribution systems, and there is now much research into both the underlying technologies of these systems, and their “optimum” management especially for applications within a single household. Optimum management usually depends on many factors and assumptions, for example what should be optimized (self-consumption of local renewable resources, consumer cost, peak reduction), prediction of local generation and load patterns, and the assumptions concerning the operation of the ESS itself. This paper aims to quantify one of the usual assumptions made (especially by non-electrical engineers) i.e. that the assumption that the power converter in the ESS is 100% efficient does not lead to substantial errors in the ESS performance and cost-benefit analysis. Three different ESS power converter models have been created and their behaviour as part of a house based ESS management system over a one year period has been analysed using five different control approaches, a variety of battery and solar panel sizes and employing a time of use tariff (Economy 7). By observing the ESS charging pattern through the year and monitoring of the annual electricity cost along with the system’s losses for the household, relationships between the battery and PV size, the control algorithms, the electricity cost and the system losses were created.

Citation

Panagiotou, K., Klumpner, C., & Sumner, M. (2016). The effect of including power converter losses when modelling energy storage systems: a UK domestic study.

Conference Name 18th European Conference on Power Electronics and Applications
End Date Sep 9, 2016
Acceptance Date Mar 1, 2016
Publication Date Sep 7, 2016
Deposit Date Jun 28, 2016
Publicly Available Date Mar 28, 2024
Peer Reviewed Peer Reviewed
Keywords Battery management systems (BMS), Energy system management, Energy storage
Public URL https://nottingham-repository.worktribe.com/output/818787
Publisher URL http://ieeexplore.ieee.org/document/7695584/
Related Public URLs http://www.epe2016.com/
Additional Information © 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

Files





You might also like



Downloadable Citations