Sudan National Grid Contingency Ranking Through Fuzzy Logic Approach

Author:

Hassan Mohammed Osman, ,Alajab Israa Salih,

Abstract

The effect of the line outage when rest of system is stable is called contingency study. The outage on the system may be for single line (N-1) contingency or for multiple lines (N-m) contingency where N the total number of lines and m the number of lines out the service. The study of contingency is essential process in planning, operating and control of power systems. The main thrust of contingency studies carried out in power system control centers is to determine the steady state effects of outages. Large power systems require the analysis of all the credible contingence within a very short time so as to exercise the control in the short time available for corrective action. Generally, the system continues to operate in the contingency condition for a considerable duration of time, on occurrence of a line outage. The altered voltage stability margins of all the load buses for the various contingency conditions are to be known prior to monitor and initiate emergency control action to avoid voltage collapse. This study suggests an intelligent technique using fuzzy logic control system to assist in ranking the single contingency (N-1) which occur in the system. The suggested fuzzy logic approach was taken into consideration and applied to the national Sudanese grid.

Publisher

Blue Eyes Intelligence Engineering and Sciences Engineering and Sciences Publication - BEIESP

Subject

Industrial and Manufacturing Engineering,Metals and Alloys,Strategy and Management,Mechanical Engineering

Reference8 articles.

1. Nazif HiilBgii Sohtaoglu, "Evaluation of Transmission Losses in Power System Contingency Analysis", Department of Electrical Engineering, Istanbul Technical University, Maslak, Istanbul - Turkey.

2. A.S. Debs, "Modern Power System Control and Operation", Kluwer Academic, Boston, 1988.

3. Javad Modarresi, and Other, "A Comprehensive Review of the Voltage Stability Indices", Renewable and Sustainable Energy Reviews, May, 2016.

4. Manjula B. G., Suma A. P., and others, "Contingency Ranking in Power Systems Employing Fuzzy Based Analysis", IJEEES, 4(1) June2012.

5. Mahmoud M. Mohammed, (Development of Intelligent Systems For Evaluating Voltage Profile And Collapse Under Contingency Operation) , M. S., Zagazig University, Egypt, 2004.

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