| Autor: |
Tokhtibakie, Karmel, Gunin, Alexandr, Kenessov, Yerlan, Vassilyev, Daniil, Bektimirov, Anur |
| Předmět: |
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| Zdroj: |
Eastern-European Journal of Enterprise Technologies; 2024, Vol. 130 Issue 8, p6-18, 13p |
| Abstrakt: |
The object of the research is an emergency control system for ensuring the stability of electric power systems (EPS) in case of emergency unbalances. The relevance of the problem of ensuring EPS stability is due to the need to improve the efficiency of emergency control to reduce the risk of system accidents with significant damage. To solve this problem, we propose an algorithm for selecting the volume of control actions based on the principles of adaptive control for predicting the post-emergency mode with an acceptable stability margin. The algorithm of forming the volume of control actions is based on the dependence of the value of control actions on the value of stability reserves estimation by the value of the Jacobi determinant. To build this dependence, the algorithm of searching for the limiting mode by the trajectory of change in the equilibrium position of the steady state of the system from the initial to the limiting one is used. In contrast to the existing algorithms, the proposed algorithm establishes a functional dependence of the control value on the current parameters of the regime or the stability margin, which increases the efficiency of calculations for selecting control actions. Realization of the proposed algorithm is carried out on the basis of the functional scheme according to the data of the vector measurement system. The advantage and novelty of the proposed algorithm is the possibility of eliminating the disadvantages of existing systems of mode automation, the main of which are: – the necessity to perform numerous variant calculations for selecting the volume of control actions; – possible excessive volume of control actions in case of a mismatch of the actual mode with the calculated one [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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