Designing the Optimal Configuration of a Small Power System for Autonomous Power Supply of Weather Station Equipment
Boris V. Malozyomov,
Nikita V. Martyushev (),
Elena V. Voitovich,
Roman V. Kononenko,
Vladimir Yu. Konyukhov,
Vadim Tynchenko,
Viktor Alekseevich Kukartsev and
Yadviga Aleksandrovna Tynchenko
Additional contact information
Boris V. Malozyomov: Department of Electrotechnical Complexes, Novosibirsk State Technical University, 20 Karla Marksa Ave., 630073 Novosibirsk, Russia
Nikita V. Martyushev: Department of Advanced Technologies, Tomsk Polytechnic University, 634050 Tomsk, Russia
Elena V. Voitovich: Department of Industrial and Civil Engineering, Moscow Polytechnic University, 107023 Moscow, Russia
Roman V. Kononenko: Computer Hardware and Software Laboratory, Institute of Information Technologies and Data Analysis, Irkutsk National Research Technical University, 664074 Irkutsk, Russia
Vladimir Yu. Konyukhov: Department of Automation and Control, Irkutsk National Research Technical University, 664074 Irkutsk, Russia
Vadim Tynchenko: Digital Material Science: New Materials and Technologies, Bauman Moscow State Technical University, 105005 Moscow, Russia
Viktor Alekseevich Kukartsev: Department of Materials Science and Materials Processing Technology, Polytechnical Institute, Siberian Federal University, 660041 Krasnoyarsk, Russia
Yadviga Aleksandrovna Tynchenko: Laboratory of Biofuel Compositions, Siberian Federal University, 660041 Krasnoyarsk, Russia
Energies, 2023, vol. 16, issue 13, 1-30
Abstract:
Autonomous power systems serving remote areas with weather stations with small settlements are characterized by a fairly high cost of generating electricity and the purchase and delivery of fuel. In addition, diesel power plants require regular maintenance, have a relatively short service life during continuous operation and produce a large amount of emissions into the environment. This article discusses various methods of placing solar panels in the space for the autonomous power supply of weather station equipment. The principles of these methods are described and their advantages and disadvantages are outlined. The optimal algorithms of functioning for photomodules are described and their comparison regarding the main, significant parameters is carried out. The choice of the most effective algorithm for use at a weather station is made. The effective positioning of solar panels is also calculated, and positioning conditions are determined depending on the territorial location and various environmental conditions. Simulation of the power supply system of a weather station consisting of solar panels, batteries and inverters is performed. As a result, a practical example of the application of the method of selecting the optimal composition of equipment for a hybrid power system of a weather station territorially located in Siberia with different configurations of equipment is considered. In numerical terms, it was possible to reduce the cost of power equipment operation by more than 60% with a fairly low payback period of 5.5 years and an increased reliability of the power system, which is very important for autonomous power systems of northern weather stations.
Keywords: weather station; small power system; autonomous power supply; power engineering; electrical equipment (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (10)
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