TY - GEN
T1 - Optimal Residential Battery Scheduling with Asset Lifespan Consideration
AU - Couraud, Benoit
AU - Norbu, Sonam
AU - Andoni, Merlinda
AU - Robu, Valentin
AU - Gharavi Ahangar, Hani
AU - Flynn, David
N1 - Note of acceptance from the conference organiser.
From: The PaperCept Conference Manuscript Management System <[email protected]>
Sent: 20 April 2020 10:59
To: Couraud, Benoit <[email protected]>
Cc: Norbu, Sonam <[email protected]>; Andoni, Merlinda <[email protected]>; [email protected] <[email protected]>; Flynn, David <[email protected]>; Gharavi Ahangar, Hani <[email protected]>
Subject: Decision on ISGT-Europe 2020 submission 300
Message from The PaperCept Conference Manuscript Management System
Message originated by Tamas Keviczky
Dear Dr. Benoit Couraud,
This email concerns your submission 300:
Optimal Residential Battery Scheduling with Asset Lifespan Consideration
by
Benoit Couraud*, Sonam Norbu, Merlinda Andoni, Valentin Robu, David Flynn, Gharavi Hani
It is a pleasure to inform you that the contribution referenced above, for which you are listed as the corresponding author, has been accepted for presentation at the 2020 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe) to be held in World Forum, The Hague, NL, October 26-28, 2020.
Please note that the reviewers' comments and the associate editor's summary are attached herewith, and can also be accessed by logging into your account and following the link for reviews for this contribution at:
https://conf.papercept.net_conferences_scripts_start.pl
It is important that any critical comment therein is adequately addressed by revising your contribution before the final version is submitted.
Electronic submission of the final version of your contribution is due by 22 May 2020 through the conference website. Please follow closely the instructions there, your final paper must comply with the specifications outlined on the website. Every paper must be associated with a full (i.e., not student) registration. One full registration may cover up to two papers.
Your contribution will appear in the ISGT-Europe 2020 Proceedings distributed during the conference if a final version is submitted with a valid registration. All papers presented at the conference are submitted to be included in IEEE Xplore digital library.
Session information and presentation format (interactive vs regular) will be communicated later, along with the technical program. The final program will be available after the final submission deadline.
We are looking forward to seeing you in The Hague in October 2020.
Yours Sincerely,
Tamas Keviczky and Jose Rueda Torres
Program Chair and Co-chair
ISGT-Europe 2020
----------------------------------------------
Decision: Accepted as Contributed paper.
Final submission deadline May 22, 2020.
----------------------------------------------
Submission information
Authors and title:
Benoit Couraud*, Sonam Norbu, Merlinda Andoni, Valentin Robu, David Flynn, Gharavi Hani
Optimal Residential Battery Scheduling with Asset Lifespan Consideration
Conference: 2020 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe).
Current status: Accepted.
Submission number: 300.
----------------------------------------------
To access your workspace please log in at https://conf.papercept.net/conferences/scripts/start.pl using your PIN 58553 and password
To see this decision message and the reviews (if any) choose the appropriate option under "Choose an option..." for this submission in your ISGT-Europe 2020 author workspace
If you do not have your password then follow the link https://conf.papercept.net/conferences/scripts/pinwizard.pl to retrieve it
----------------------------------------------
Prof. Tamas Keviczky
Delft Center for Systems and Control
Delft University of Technology
Mekelweg 2
2628CD Delft
Netherlands
E-mail address: [email protected]
PY - 2020/11/10
Y1 - 2020/11/10
N2 - 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.
AB - 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.
KW - Battery management system
KW - Distributed generation
KW - Linear programming optimization
KW - Smart grids
UR - http://www.scopus.com/inward/record.url?scp=85097338855&partnerID=8YFLogxK
U2 - 10.1109/ISGT-Europe47291.2020.9248889
DO - 10.1109/ISGT-Europe47291.2020.9248889
M3 - Conference contribution
SP - 630
EP - 634
BT - 2020 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe)
PB - IEEE
T2 - 2020 IEEE PES Innovative Smart Grid Technologies Europe
Y2 - 25 October 2020 through 28 October 2020
ER -