Open AccessRenewable energy sources and storage batteries for electrification of Russian decentralized power supply systems
Author(s) -
Dmitriy Karamov,
Irina Volkova,
Konstantin Suslov,
Ilya A. Dolmatov
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2061/1/012016
Subject(s) - energy storage , renewable energy , automotive engineering , electrification , electric power system , diesel fuel , reliability engineering , computer data storage , process engineering , power (physics) , computer science , engineering , electrical engineering , electricity , physics , quantum mechanics , operating system
The use of renewable energy sources (RES) and storage batteries (SB) in decentralized power systems is a cost-effective way to supply power to consumers. In this case, storage batteries are one of the most important system components. The significance of storage batteries is conditioned by a stabilizing effect obtained at generation from RES that are defined by stochastic oscillating functions. However, it is worth noting that storage batteries also improve the cost-effectiveness of such systems by reducing consumption of diesel fuel. This is particularly noticeable at night when load is the least and the use of diesel generators is inefficient. One of the most important points is the determination of potential internal processes of aging and breakdowns that occur in storage batteries during operation. The use of a tested model for categorization of storage batteries according to the operating conditions makes it possible to take account of these factors at the stage of a system design. The paper presents a detailed analysis of decentralized power supply system Verkhnyaya Amga. The focus is made on the cost-effectiveness of a combined use of RES with storage batteries, annual saving of diesel fuel, operating parameters. The research reveals hidden problems that represent various uncertainties that affect greatly the economic and operation parameters of the system.