MODELING ADVANCED AUTOMATIC OVERCURRENT LIMITING SYSTEM

Authors

  • R.R. Sattarov Ufa State Aviation Technical University, Ufa, Russian Federation
  • R.R. Garafutdinov Ufa State Aviation Technical University, Ufa, Russian Federation

DOI:

https://doi.org/10.14529/power200104

Keywords:

emergency automatics, automatic overcurrent limiting system, simulation, power system

Abstract

The existing methods and means of emergency control are not always reliable enough. Therefore, the development of new and the improvement of existing means of emergency control is an urgent task, aimed at improving the reliability of the electrical systems and networks. One of the most cost-effective methods is the improvement and development of new algorithms for emergency automation. The main difficulty is the complexity of all processes accounting and modeling. However, special software is now available to model power systems with great precision. The paper proposes a method to assess the need for the emergency response systems improvement. The paper presents  a general description of the method, as well as an example of its use to assess the need to improve emergency automatics. To evaluate the method, the program complexes PSCAD and RastrWin3 have been used to simulate the 110 kV, 220 kV, 500 kV power network. The paper analyses its operation modes as well as studies the adequacy of the automatic overcurrent limiting system (AOLS). The exi­sting AOLS algorithm has been improved to allow preventing the customers’ disconnection during emergency events. The analysis of the simulation and calculation results shows the efficiency of the proposed method and the promising possibilities  for the detection and identification of issues associated with the insufficient emergency automation efficiency.

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Published

2019-06-20

How to Cite

[1]
Sattarov, R. and Garafutdinov, R. 2019. MODELING ADVANCED AUTOMATIC OVERCURRENT LIMITING SYSTEM. Bulletin of the South Ural State University series "Power Engineering". 20, 1 (Jun. 2019), 30–37. DOI:https://doi.org/10.14529/power200104.