S.O.  Igbinovia, S.O.  Omodamwen, 
    Investigation of Power Station Collapse: A Case Study of Steam/Gas Turbine Sapele Power Station, Oghorode, Delta State, Nigeria,
    International Journal of Electrical and Power Engineering,
    Volume 3,Issue 5,
    2009,
    Pages 255-261,
    ISSN 1990-7958,
    ijepe.2009.255.261,
    (https://makhillpublications.co/view-article.php?doi=ijepe.2009.255.261)
    Abstract: This study has investigated sapele power station electric power availability in terms of system collapse. The station with total installed capacity of 1020 MW reliability data for 2003 was collected from the performance department for fault analysis. The station with six, 120 MW steam turbines and four, 75 MW gas turbines in 2003 only ST01 and ST06 were in operation such that the best optimal power the 2 units could inject into the interconnected area network was 171 MW. The fault analysis revealed that due to load demand resulting in system frequency fluctuation, steam turbine operating No. 1 caused system collapses in the interconnected area 17 times, while steam turbine operating No. 6 caused 19 system’s collapse. The maximum load demand that was recorded in either of the units that resulted in system collapse was 85 MW, meaning the solution to the problem lies in improvement of generation since the generators have been in use for the past 27 years and now have depreciation value of 56.77%, thus, suggesting complete overhauling or replacement of the units. The research also revealed that the area frequency control error criteria and all other system’s control parameters as enumerate in study three were operationally put in place to ensure safe operation of the station for electric power availability, while the statutory limit of frequency of ±4% of the standard value (50 Hz) allowed for steady-state stability of the system could not be maintained due to load demand hence, the synchronous machines pull-out of synchronism resulting in system collapse. The research also shown that the station has parasitic energy of 7.25% far above the standard value of 5%.
    Keywords: Optimal power;energy;availability;frequency;turbine-generator;interconnected-area;stability;load demands