Distribution Processes Optimization in Power Supply Systems with Low Power Energy Sources
            
            2022 IEEE 63rd International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON 2022): Conference Proceedings
            2022
            
        
                Olena Yarmoliuk,
        
                Yurii Veremiichuk,
        
                Vitalii Opryshko,
        
                Anatolijs Mahņitko,
        
                Inga Zicmane,
        
                Tatjana Lomane
        
    
            
            
            The aim of the work is to develop a method of load distribution between the elements of the energy system with low-power generation sources based on a modified resource allocation algorithm. Suggested effective accounting mechanism of multicriteria, insufficiency and initial information limitation, possibility of flexible task setting and objective priority functions change and restrictions, with use of linguistic characteristics. The approbation of the offered technique on statistical data of renewable energy sources which provide consumers with the electric power in a certain territory is carried out and their optimum mode of work is investigated
            
            
            
                Keywords
                renewable energy system, resource allocation, low power generation sources, multicriteria decision making
            
            
                DOI
                10.1109/RTUCON56726.2022.9978794
            
            
                Hyperlink
                https://ieeexplore.ieee.org/document/9978794
            
            
            Yarmoliuk, O., Veremiichuk, Y., Opryshko, V., Mahņitko, A., Zicmane, I., Lomane, T. Distribution Processes Optimization in Power Supply Systems with Low Power Energy Sources. In: 2022 IEEE 63rd International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON 2022): Conference Proceedings, Latvia, Riga, 10-12 October, 2022. Piscataway: IEEE, 2022, pp.330-334. ISBN 978-1-6654-6559-5. e-ISBN 978-1-6654-6558-8. Available from: doi:10.1109/RTUCON56726.2022.9978794
            
                Publication language
                English (en)