Open AccessTimely determination of static stability margins in power supply systems equipped with distributed generation installations
Author(s) -
Ю. Н. Булатов,
Alexandru Kriukov,
Konstantin Suslov,
Aleksandr Cherepanov
Publication year - 2021
Publication title -
vestnik irkutskogo gosudarstvennogo tehničeskogo universiteta
Language(s) - English
Resource type - Journals
eISSN - 2500-1590
pISSN - 1814-3520
DOI - 10.21285/1814-3520-2021-1-31-43
Subject(s) - correctness , aperiodic graph , computer science , matlab , reliability (semiconductor) , stability (learning theory) , electric power system , distributed generation , control theory (sociology) , limiting , power (physics) , nonlinear system , control engineering , mathematical optimization , engineering , control (management) , mathematics , algorithm , mechanical engineering , physics , combinatorics , quantum mechanics , machine learning , artificial intelligence , operating system
The article aims to develop a methodology to ensure timely determination of the margins of static aperiodic stability in power supply systems, at the nodal points of which distributed generation units are installed. The authors used mathematical methods and algorithms based on the application of limiting regime equations. Transitional processes were analysed for various points in the space of controlled mode parameters according to the simulation modelling in Matlab using the Simulink and SimPowerSystems packages. On the basis of the obtained results, an effective technique for analysing stability margins in electrical networks with distributed generation units was implemented. This method is applicable in design problems, as well as in operational and emergency control. The conducted theoretical analysis and computer modelling showed the effectiveness of the proposed methodology for calculating stability margins; the nondegeneracy of the Jacobi matrix of limiting regime equations at the solution point ensures the guaranteed reliability of the results. It was shown that an alternative approach to solving the problem of timely determination of aperiodic stability margins can be implemented on the basis of limiting regime equation with increased nonlinearity. Dynamic modelling of an electrical network with distributed generation units confirmed the correctness of determining the stability margins calculated using limiting regime equations. The developed technique can be recommended for practical use in the design of power supply systems or in operational control of synchronous generators. In particular, the presented methodology can be used to implement a multi-agent emergency control system for distributed generation installations located in generalpurpose distribution electrical networks.