PRIORITY EVENTS DETERMINATION FOR THE RISK-ORIENTED MANAGEMENT OF ELECTRIC POWER SYSTEM

  • Mykola Kosterev National technical university of Ukraine “Igor Sikorsky Kiev Polytechnic institute”, Ukraine
  • Volodymyr Litvinov PJSC “Ukrhydroenergo”, affiliate “Dnipro HPP”, Ukraine
Keywords: electric power system, multi-criteria choice, ELECTRE method, Pareto method, importance factor

Abstract

The task of risk-oriented management of the electric power system in conditions of multi-criteria choice is considered. To determine the most effective measures, the implementation of which will reduce the magnitude of the risk of an emergency situation, multi-criteria analysis methods are applied. A comparative analysis of the multi-criteria alternative (ELECTRE) ranking method based on utility theory and the Pareto method, which defines a subset of non-dominant alternatives, is carried out. The Pareto method uses in its algorithm only qualitative characteristics of the advantage and allows only to distinguish a group of competitive solutions with the same degrees of non-dominance. Given the large number of evaluation criteria, the Pareto method is ineffective because the resulting subset of activities is in the field of effective trade-offs, when no element of the set of measures can be improved without degrading at least one of the other elements. The ELECTRE method is a pairwise comparison of multi-criteria alternatives based on utility theory. This method allows to identify a subset of the most effective activities. The number of elements of the resultant subset is regulated by taking into account the coefficients of importance of optimization criteria and expert preferences.

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Author Biography

Mykola Kosterev, National technical university of Ukraine “Igor Sikorsky Kiev Polytechnic institute”

Department of power plant

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Published
2018-06-02
How to Cite
Kosterev, M., & Litvinov, V. (2018). PRIORITY EVENTS DETERMINATION FOR THE RISK-ORIENTED MANAGEMENT OF ELECTRIC POWER SYSTEM. EUREKA: Physics and Engineering, (3), 21-32. https://doi.org/10.21303/2461-4262.2018.00643
Section
Energy