Please use this identifier to cite or link to this item: http://dx.doi.org/10.25673/118128
Title: Optimal Planning of Short-Term Modes of Power Systems Containing Energy Storage Devices
Author(s): Gayibov, Tulkin
Murodov, Boburjon
Granting Institution: Hochschule Anhalt
Issue Date: 2024
Extent: 1 Online-Ressource (7 Seiten)
Language: English
Abstract: The development of the electric power industry at the present stage throughout the world is characterized by an increased rate of introduction of power plants operating on renewable energy resources, primarily solar and wind power plants. The unevenness of the load schedules of electricity consumers is increasing. To reliably provide consumers with high-quality electricity at minimal economic costs, electricity storage devices are being introduced into such energy systems. Under such conditions, the tasks of optimal planning of short-term modes of electric power systems, which consists of determining for each time interval the optimal values of all regulated parameters, in particular loads, through the use of the regulating capabilities of storage devices, become much more complicated. At present, despite the existence of several models and algorithms for optimization of the energy storage devices as part of the power system, the issues of determining the optimal operating modes of power systems in a short-term cycle through the use of their regulatory capabilities based on the use of rigorous mathematical models and algorithms have not been sufficiently studied. This paper presents a mathematical model for the problem of optimization of the modes of a power electric system containing adjustable energy storage devices and the algorithm for aligning consumer load schedules. The results of a study of the effectiveness of the proposed optimization model and algorithm using the example of aligning the daily load schedules of the Central part of the electric networks of JSC “National Power Networks of the Republic of Uzbekistan” are given.
URI: https://opendata.uni-halle.de//handle/1981185920/120087
http://dx.doi.org/10.25673/118128
Open Access: Open access publication
License: (CC BY-SA 4.0) Creative Commons Attribution ShareAlike 4.0(CC BY-SA 4.0) Creative Commons Attribution ShareAlike 4.0
Appears in Collections:International Conference on Applied Innovations in IT (ICAIIT)

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