Contingency Evaluation of the Nigerian 330KV Transmission Grid Using Nuro-Fuzzy

The constant power failure in the transmission network that has put business activities in the country into jeopardy is surmounted by introducing contingency evaluation of the Nigerian 330kv transmission grid using NURO-FUZZY. To vividly achieve this, it is done in this manner, characterizing and establishing the contingencies that causes power failure in the Nigerian 330kv transmission grid, designing a rule base that will predict, identify and normalize the contingencies that will cause power failure in the Nigerian 330kv transmission grid for consistent power supply in the grid, training ANN in these rules for effective prediction, identification and normalization of the contingencies that will cause power failure in the Nigerian 330kv transmission grid for consistent power supply in the grid, designing a SIMULINK model for contingency evaluation of the Nigerian 330kv transmission grid using NURO-FUZZY, validating and justifying the percentage improvement in the prediction, identification and normalization of the contingencies that will cause power failure in the Nigerian 330kv transmission grid for consistent power supply in the grid with and without NURO-FUZZY. The results obtained are the conventional percentage Equipment-related contingencies that cause power failure in the Nigerian 330kv transmission grid is 70%. On the other hand, when NURO-FUZZY was integrated in the system, the reduction automatically became 60.7% thereby improving constant power supply in the transmission network. The percentage improvement in the reduction of Equipment-related contingencies that cause power failure in the Nigerian 330kv transmission grid 9.3%. The conventional detecting mechanism for line outage is 38% thereby drastically reduced power supply in the transmission network. On the other hand, when NURO-FUZZY is incorporated in the system, it automatically improved the detecting mechanism to 50.54%. Finally, the percentage improvement in the detecting mechanism of line outage when NURO-FUZZY is integrated in the system over the conventional approach is 12.54%.