Increasing Technical Efficiency of Renewable Energy Sources in Power Systems
Smolarz A. Lezhniuk P. Kudrya S. Komar V. Lysiak V. Hunko I. Amirgaliyeva S. Smailova S. Orazbekov Z.
March 2023MDPI
Energies
2023#16Issue 6
This paper presents a method for refining the forecast schedule of renewable energy sources (RES) generation by its intraday adjustment and investigates the measures for reserving RES with unstable generation in electric power systems (EPSs). Owing to the dependence of electricity generation by solar and wind power plants (PV and WPPs, respectively) on natural conditions, problems arise with their contribution to the process of balancing the power system. Therefore, the EPS is obliged to keep a power reserve to compensate for deviations in RES from the planned generation amount. A system-wide reserve (mainly the shunting capacity of thermal and hydroelectric power plants) is used first, followed by other means of power reserve: electrochemical, hydrogen, or biogas plants. To analyze the technical and economic efficiency of certain backup means, mathematical models based on the theory of similarity and the criterion method were developed. This method is preferred because it provides the ability to compare different methods of backing up RES generation with each other, assess their proportionality, and determine the sensitivity of costs to the capacity of backup methods with minimal available initial information. Criterion models have been formed that allow us to build dependencies of the costs of backup means for unstable RES generation on the capacity of the backup means. It is shown that, according to the results of the analysis of various methods and means of RES backup, hydrogen technologies are relatively the most effective. The results of the analysis in relative units can be clarified if the current and near-term price indicators are known.
criterion method , electric power system , instability of generation , renewable energy sources , reserve means , similarity theory
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Faculty of Electrical Engineering and Computer Science, Lublin University of Technology, Lublin, 20-618, Poland
Department of Electric Power Stations and System, Vinnytsia National Technical University, Vinnytsia, 21021, Ukraine
Institute of Renewable Energy of the National Academy of Sciences of Ukraine, Kyiv, 02094, Ukraine
Department of Electric Power Engineering and Control Systems, Lviv Polytechnic National University, Lviv, 79013, Ukraine
Academy of Logistics and Transport Almaty, Almaty, 050012, Kazakhstan
D. Serikbayev East Kazakhstan Technical University, Ust-Kamenogorsk, 070000, Kazakhstan
Abai Kazakh National Pedagogical University, Almaty, 050010, Kazakhstan
Faculty of Electrical Engineering and Computer Science
Department of Electric Power Stations and System
Institute of Renewable Energy of the National Academy of Sciences of Ukraine
Department of Electric Power Engineering and Control Systems
Academy of Logistics and Transport Almaty
D. Serikbayev East Kazakhstan Technical University
Abai Kazakh National Pedagogical University
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