Optimal residential battery scheduling with asset lifespan consideration

Benoit Couraud, Sonam Norbu, Merlinda Andoni, Valentin Robu, Hani Gharavi, David Flynn

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

Abstract

Recent development of renewable generation and increasing penetration of electric vehicles have led to large volumes of residential battery storage systems connected at distribution networks. In this paper, we propose a control algorithm for residential batteries that determines optimal day-ahead battery scheduling and operation with the aim to minimize household energy bills and in the context of dynamic Time of Use (ToU) electricity tariffs. The proposed formulation of the optimization problem takes into consideration the battery's depreciation cost, which is determined by the accurate enumeration of battery cycles, including partial cycling i.e. battery cycles that do not start or end at 100% of State of Charge (SoC). A key advantage of the proposed formulation is that the problem can be solvable by use of linear programming. In addition, we study and compare the benefits of the optimisation-based algorithm with lifespan consideration to a simple heuristic-based battery control scheme and an optimisation-based algorithm without battery lifecycle consideration. Results show that battery lifespan consideration in the optimization algorithm does not necessarily yield to lower prosumer energy bills, when compared to other approaches, but it can lead to a lower depreciation cost of the battery.

Original languageEnglish
Title of host publicationProceedings of 2020 IEEE PES Innovative Smart Grid Technologies Europe, ISGT-Europe 2020
PublisherIEEE
Pages630-634
Number of pages5
ISBN (Electronic)9781728171005
DOIs
Publication statusPublished - 2020
Externally publishedYes
Event10th IEEE PES Innovative Smart Grid Technologies Europe, ISGT-Europe 2020 - Virtual/online event due to COVID-19, Delft, Netherlands
Duration: 26 Oct 202028 Oct 2020
Conference number: 10
https://ieee-isgt-europe.org/

Publication series

NameIEEE PES Innovative Smart Grid Technologies Conference Europe
Volume2020-October

Conference

Conference10th IEEE PES Innovative Smart Grid Technologies Europe, ISGT-Europe 2020
Abbreviated titleISGT-Europe 2020
CountryNetherlands
CityDelft
Period26/10/2028/10/20
OtherVirtual/online event due to COVID-19
Internet address

Keywords

  • Battery management system
  • Distributed generation
  • Linear programming optimization
  • Smart grids

Fingerprint Dive into the research topics of 'Optimal residential battery scheduling with asset lifespan consideration'. Together they form a unique fingerprint.

Cite this