Optimal Residential Battery Scheduling with Asset Lifespan Consideration

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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 publication2020 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe)
PublisherIEEE
Publication statusAccepted/In press - 22 Apr 2020
Event2020 IEEE PES Innovative Smart Grid Technologies Europe - online, Delft, Netherlands
Duration: 25 Oct 202028 Oct 2020
https://ieee-isgt-europe.org/

Conference

Conference2020 IEEE PES Innovative Smart Grid Technologies Europe
Abbreviated titleISGT Europe 2020
CountryNetherlands
CityDelft
Period25/10/2028/10/20
Internet address

Keywords

  • Energy Systems
  • Battery
  • Battery PHM
  • scheduling
  • optimisation

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  • Cite this

    Couraud, B., Norbu, S., Andoni, M., Robu, V., Gharavi Ahangar, H., & Flynn, D. (Accepted/In press). Optimal Residential Battery Scheduling with Asset Lifespan Consideration. In 2020 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe) IEEE.