Tradeoffs Between Battery Degradation and Profit from Market Participation of Solar-Storage Plants

Leopold Kuttner ()
Additional contact information
Leopold Kuttner: Faculty of Business and Economics

A chapter in Operations Research Proceedings 2019, 2020, pp 273-279 from Springer

Abstract: Abstract Large scale energy storage installations have seen a rise in recent years, especially in combination with renewable power plants. Their increasing integration is contingent on successful market participation. So far, a common objective in energy resource scheduling is the maximization of profit from market participation, which requires high storage utilization and, consequently, leads to their degradation. This contribution presents a multi-objective mixed-integer program for operational planning of solar-storage plants that maximizes profit and minimizes the number of charge cycles. In a case study, solar-storage plants are studied in a short-term market environment. Pareto optimal solutions are determined using the epsilon constraint method. Analysis of the pareto-front shows that even minor sacrifices in profit allow to significantly reduce the number of charge cycles and therefore increase the lifetime of the battery.

Keywords: Distributed energy resource scheduling; Multi-objective; Battery storage; Solar plant (search for similar items in EconPapers)
Date: 2020
References: Add references at CitEc
Citations: View citations in EconPapers (1)

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:oprchp:978-3-030-48439-2_33

Ordering information: This item can be ordered from
http://www.springer.com/9783030484392

DOI: 10.1007/978-3-030-48439-2_33

Access Statistics for this chapter

More chapters in Operations Research Proceedings from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().