Combined dynamic programming and region-elimination technique algorithm for optimal sizing and management of lithium-ion batteries for photovoltaic plants

•Combined optimisation of the sizing and management of lithium-ion batteries.•The optimiser handles non-linear models and real data of PV-battery systems.•Detailed descriptions of the algorithm and models are provided for reproducibility.•The improvement achieved by the tool in a renewable energy pl...

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Vydáno v:Applied energy Ročník 228; s. 1 - 11
Hlavní autoři: Berrueta, Alberto, Heck, Michael, Jantsch, Martin, Ursúa, Alfredo, Sanchis, Pablo
Médium: Journal Article
Jazyk:angličtina
Vydáno: Elsevier Ltd 15.10.2018
Témata:
algorithms
decision making
dynamic programming
Dynamic programming method
electricity costs
energy
Energy arbitrage
Energy storage system
lithium batteries
Lithium-ion battery
Optimal energy dispatch scheduling
Renewable energy
Lithium-ion battery
Optimal energy dispatch scheduling
Dynamic programming method
Renewable energy
Energy storage system
Energy arbitrage
ISSN:0306-2619, 1872-9118
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Shrnutí:•Combined optimisation of the sizing and management of lithium-ion batteries.•The optimiser handles non-linear models and real data of PV-battery systems.•Detailed descriptions of the algorithm and models are provided for reproducibility.•The improvement achieved by the tool in a renewable energy plant is detailed.•A sensitivity analysis identifies financial indicators to support investors. The unpredictable nature of renewable energies is drawing attention to lithium-ion batteries. In order to make full utilization of these batteries, some research works are focused on the management of existing systems, while others propose sizing techniques based on business models. However, in order to optimise the global system, a comprehensive methodology that considers both battery sizing and management at the same time is needed. This paper proposes a new optimisation algorithm based on a combination of dynamic programming and a region-elimination technique that makes it possible to address both problems at the same time. This is of great interest, since the optimal size of the storage system depends on the management strategy and, in turn, the design of this strategy needs to take account of the battery size. The method is applied to a real installation consisting of a 100 kWp rooftop photovoltaic plant and a Li-ion battery system connected to a grid with variable electricity price. Results show that, unlike conventional optimisation methods, the proposed algorithm reaches an optimised energy dispatch plan that leads to a higher net present value. Finally, the tool is used to provide a sensitivity analysis that identifies key informative variables for decision makers.
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ISSN:0306-2619
1872-9118
DOI:10.1016/j.apenergy.2018.06.060