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Publikācija: Adaptive Detection of Battery Energy Storage System Charge/Discharge Cycles Quantity

Publication Type Full-text conference paper published in conference proceedings indexed in SCOPUS or WOS database
Funding for basic activity Research project
Defending: ,
Publication language English (en)
Title in original language Adaptive Detection of Battery Energy Storage System Charge/Discharge Cycles Quantity
Field of research 2. Engineering and technology
Sub-field of research 2.2 Electrical engineering, Electronic engineering, Information and communication engineering
Research platform None
Authors Romāns Petričenko
Dmitrijs Boreiko
Keywords energy storage, optimal operation planning, optimisation
Abstract aim of this paper is the research of battery energy storage system (BESS) technology` rational exploitation, namely, optimal distribution of charge/discharge cycles (CDC) selection. Our latest achievements in topic under consideration focuses on a BESS cycles’ constant quantity per week with further distribution by day using optimization procedure. However, the optimal operation planning (OOP) of BESS technology requires adaptive cycles` weekly quantity. To strive mentioned objective, we have implemented the cost of one CDC as criterion for the effect analysis on the BESS exploitation profitability. Last manipulation has allowed improving optimal BESS management.
Reference Petričenko, R., Boreiko, D. Adaptive Detection of Battery Energy Storage System Charge/Discharge Cycles Quantity. In: The 7th IEEE Workshop on Advances in Information, Electronic and Electrical Engineering (AIEEE’2019), Latvia, Liepaja, 15-16 November, 2019. Piscataway: IEEEXplore, 2019, pp.1-4. ISBN 978-1-7281-5709-2.
Additional information Citation count:
  • Scopus  0
ID 29971