Análisis de inestabilidad de tensión en el sistema eléctrico de potencia usando el análisis modal

This work presents the risk of angular and voltage stability is presented in a SEP using modal analysis. Currently the SEP has many interconnections, which meet the demand; these interconnections are known as transmission systems. Transmission systems are constantly exposed to the problems of stabil...

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Autor Principal: Tituaña de la Vega, Marlon Fabián
Formato: bachelorThesis
Idioma: spa
Publicado: 2016
Materias:
Acceso en línea: http://dspace.ups.edu.ec/handle/123456789/12869
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Sumario: This work presents the risk of angular and voltage stability is presented in a SEP using modal analysis. Currently the SEP has many interconnections, which meet the demand; these interconnections are known as transmission systems. Transmission systems are constantly exposed to the problems of stability and shocks can cause the system to collapse. For analysis of instability are performed the following steps. In the first step the initial condition for the analysis of instability in the electrical power system load flow or power flow is structured, the second step is to determine the elements of power electrical system which can be prone to be unstable causing the node is in critical or state this prone to failure and finally in the third step a sensitivity analysis is performed causing disturbances in each of the critical nodes identified previously, these disturbances are made by making small changes in both power active and reactive power. After making use of modal analysis in the analysis of risks of instability limits the power system are determined. This paper proposes a solution by studying the modal analysis which is based on calculating eigenvalues and eigenvectors of the Jacobian matrix that obtained from the linearization of the power system around the equilibrium points. Probabilistic analysis angular and voltage stability around the operating point, can establish a probability function factor participation behavior of the eigenvalues of the state matrix of the linear dynamic model.