Energy Saving of a Drone in Order to Increase Flight Time and Distance Traveled, Modeling, and Optimization

Dimitrios A. Arvanitidis (), Dimitrios K. Nasiopoulos, Dimitrios M. Mastrakoulis () and Panagiotis Reklitis ()
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Dimitrios A. Arvanitidis: University of Peloponnese
Dimitrios K. Nasiopoulos: School of Applied Economics and Social Sciences, Agricultural University of Athens
Dimitrios M. Mastrakoulis: University of Thessaly
Panagiotis Reklitis: School of Applied Economics and Social Sciences, Agricultural University of Athens

A chapter in Computational and Strategic Business Modelling, 2024, pp 195-213 from Springer

Abstract: Abstract As renewable energy production and grid-connected inverter ports have almost no damping and inertia, the renewable energy generation system has low inertia and weak damping characteristics (Yingjie et al., IEEE Trans Power Syst, 2018). In terms of absorbed power or output power of the BESS, the battery power station can stabilize the unbalanced power in the power system and improve the ability to support the constant frequency of the system to produce energy from renewable sources, with a friendly to solar panels adjacent (Serban and Marinescu, IEEE Trans Power Electron 29(9):5010–5020, 2014). However, there is still a very big problem, as the autonomy of the batteries used is very short. Following the above consideration, a support control strategy for BESS with the third-order model of modern generators is proposed. Through the design of the adjustment factor, the dynamic process of the battery storage station in question is analyzed, which participates in the frequency response of the power grid and affects the frequency stability of the power generation system from renewable sources, at the depth of the BESS frequency modulation. This research work studies the problem, aiming to bring an improvement in the process with the use of modeling and simulation.

Keywords: BESS (battery energy storage system); Drone; Modeling; and simulation (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:spr:prbchp:978-3-031-41371-1_17

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DOI: 10.1007/978-3-031-41371-1_17

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