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Calculation of the critical clearing time considering variations in the equivalent inertia constant

Grant number: 18/25853-0
Support type:Scholarships in Brazil - Scientific Initiation
Effective date (Start): March 01, 2019
Effective date (End): August 01, 2020
Field of knowledge:Engineering - Electrical Engineering - Power Systems
Principal researcher:Rodrigo Andrade Ramos
Grantee:Julia Reis Céu
Home Institution: Escola de Engenharia de São Carlos (EESC). Universidade de São Paulo (USP). São Carlos , SP, Brazil
Associated scholarship(s):19/11703-9 - Evaluation of the influence of equivalent inertia variations on power systems using stochastic simulations, BE.EP.IC

Abstract

The stability analysis of Electric Power Systems (EPS's) is an area of great importance and notoriety due to the interconnection of the electrical systems. This analysis ensures a safe operation of the system, since the occurrence of instability may lead to malfunctioning of electrical machines and equipment connected to the network. Short circuits are the main causes of disturbances in the systems, as it is difficult to predict and avoid them because of their randomly occurrence. In addition, the general concern about sustainability has led to the share of renewable energy sources increment for the past years in energy systems. Thus, in order to guarantee the stability of the EPS's, new study approaches are necessary to predict their behavior while a short circuit is happening, since such alternative sources cause a decrease in the system's equivalent inertia. As the differential equations that describes the systems are non-linear, and dealing with great disturbances in the study of transient stability, the stability evaluation should be done through numerical simulations. Thus, this research proposal has as main intention to seek improvements in the protection system of EPS's with a probabilistic treatment of rotational inertia, which influences the system modeling. By performing a careful analysis of the distribution of the critical opening times generated by numerical simulations, taking as input a defined continuous distribution of possible inertia values and a fixed fault location, it is possible to define a maximum time over which the protection must act to isolate the fault and keep the remaining system still on stable operation, preventing the disturbance from affecting a larger part of the network. In this way, it is possible to determine more precise adjustments for the system protection by considering a more adequate modeling of the parameter variation.

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