Abstract
This paper presents the contingency analysis for the Abuja transmission network using DIgSILENT Power Factory software. The contingency analysis showed the results for the worst loading violations from the most severe to the least severe case for both the base case and the case study contingencies. For the base case condition, the most severe continuous loading condition was 200.2% while the least severe continuous loading condition was 93.7%. After the reinforcement of the identified weak section of the network, the security and the stability of the network improved greatly with the most severe continuous loading condition of 138.9% and the least severe continuous loading condition of 80.4%. Contingency analysis for Abuja transmission network was conducted to identify the weakest part of the network and then take measures to ensure the stability of the network.
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