Please use this identifier to cite or link to this item: http://elar.urfu.ru/handle/10995/141547
Title: Optimal load management of autonomous power systems in conditions of water shortage
Authors: Rahimov, F.
Kirgizov, A.
Safaraliev, M.
Zicmane, I.
Sergeev, N.
Matrenin, P.
Issue Date: 2024
Publisher: Institute of Advanced Engineering and Science
Citation: Rahimov, F., Kirgizov, A., Safaraliev, M., Zicmane, I., Sergeev, N., & Matrenin, P. (2024). Optimal load management of autonomous power systems in conditions of water shortage. International Journal of Electrical and Computer Engineering, 14(1), 99-109. https://doi.org/10.11591/ijece.v14i1.pp99-109
Abstract: The issues of optimizing the operation of micro hydropower plants in conditions of water scarcity, performed by additional connection to the grid of an energy storage system and wind power turbine, as well as optimal load management, are considered. It is assumed that the load of the system is a concentrated autonomous power facility that consumes only active power. The paper presents a rigorous mathematical formulation of the problem, the solution of which corresponds to the minimum cost of an energy storage system and a wind turbine, which allows for uninterrupted supply of electricity to power facilities in conditions of water shortage necessary for the operation of micro hydropower plants (under unfavorable hydrological conditions). The problem is formulated as a nonlinear multi-objective optimization problem to apply metaheuristic stochastic algorithms. At the same time, a significant part of the problem is taken out and framed as a subproblem of linear programming which will make it possible to solve it by a deterministic simplex method that guarantees to find the exact global optimum. This approach will significantly increase the efficiency of solving the entire problem by combining metaheuristic algorithms and taking into account expert knowledge about the problem being solved. © 2024 Institute of Advanced Engineering and Science. All rights reserved.
Keywords: DOMAIN-SPECIFIC OPTIMIZATION PROBLEM
ELECTRICAL LOAD
ENERGY STORAGE SYSTEM
MICRO HYDROPOWER PLANTS
OPTIMAL CONTROL
WIND POWER TURBINE
URI: http://elar.urfu.ru/handle/10995/141547
Access: info:eu-repo/semantics/openAccess
cc-by-sa
SCOPUS ID: 85183664421
PURE ID: 52299671
ISSN: 2722-2578
2088-8708
DOI: 10.11591/ijece.v14i1.pp99-109
Sponsorship: Ministry of Education and Science of the Russian Federation, Minobrnauka
The research funding from the Ministry of Science and Higher Education of the Russian Federation (Ural Federal University Program of Development within the Priority-2030 Program) is gratefully acknowledged.
RSCF project card: Ministry of Education and Science of the Russian Federation, Minobrnauka
The research funding from the Ministry of Science and Higher Education of the Russian Federation (Ural Federal University Program of Development within the Priority-2030 Program) is gratefully acknowledged.
Appears in Collections:Научные публикации ученых УрФУ, проиндексированные в SCOPUS и WoS CC

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