| Title |
A case study of optimising energy storage dispatch: convex optimisation approach with degradation considerations / |
| Authors |
Vaičys, Jonas ; Gudžius, Saulius ; Jonaitis, Audrius ; Račkienė, Roma ; Blinov, Andrei ; Peftitsis, Dimosthenis |
| DOI |
10.1016/j.est.2024.112941 |
| Full Text |
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| Is Part of |
Journal of energy storage.. Amsterdam : Elsevier. 2024, vol. 97, pt. B, art. no. 112941, p. 1-12.. ISSN 2352-152X. eISSN 2352-1538 |
| Keywords [eng] |
battery energy storage degradation ; convex optimisation ; day-ahead dispatch ; hybrid renewable energy system ; renewable energy storage |
| Abstract [eng] |
The integration of renewable energy sources (RES) like solar photovoltaics (PV) into power grids is crucial for global sustainability goals. As RES integration accelerates, energy storage systems, particularly electro-chemical battery energy storage systems (BESS), become vital to address supply-demand gaps. This paper focuses on the optimisation of day-ahead BESS operation dispatch in hybrid renewable energy systems (HRES) using convex optimisation technique which ensures distinct charging and discharging states of BESS. Since this novel approach involves BESS degradation into decision making process, it enables to dispatch the whole HRES by using BESS lifecycle more efficiently and it also leads to a more accurate estimation of HRES economic feasibility. Our proposed method is benchmarked with naive, self-consumption, mixed integer linear programming (MILP) and linear programming (LP) models by using real data of HRES installed in Kaunas University of Technology, Lithuania. The results of this case study showed that application of convex non-linear model allowed partial BESS cycling, unlike other analysed methods. Consequently, BESS performed 2.36 times more cycles per year, which led to increased IRR by up to 10 % compared to commonly used MILP and LP models. These outcomes underline the importance of the development of new BESS dispatch optimisation strategies that lead to holistic approach in overall HRES payback evaluation. |
| Published |
Amsterdam : Elsevier |
| Type |
Journal article |
| Language |
English |
| Publication date |
2024 |
| CC license |
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