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Optimization of Overcurrent Relay Coordination in a Radial Network Using the Adaptive Modified Firefly Algorithm for the EDG Blackstart System at Muara Tawar Combined Cycle Power Plant
Abstract
Overcurrent relay (OCR) coordination in the radial EDG Blackstart system at the Muara Tawar Combined Cycle Power Plant is challenging because of the limited fault-current contribution of the synchronous generators. This study determines the optimal Time Dial Setting (TDS) using the Adaptive Modified Firefly Algorithm (AMFA) for five OCR setting groups, with R1 applied identically to the incoming relays of EDG1 and EDG2. The ETAP model produced a three-phase fault current of 823 A at R1 and 1645 A at R2 through R5. The pickup current was fixed at 249 A for R1 and 296.39 A for R2 through R5, while the MATLAB optimization used the IEC Normal Inverse characteristic and a minimum Coordination Time Interval (CTI) of 0.3 s. AMFA and PSO were evaluated over 30 runs with a population of 30 and 100 iterations. AMFA achieved a best fitness of 4.054961, a mean fitness of 4.081385, a sample standard deviation of 0.014481, a coefficient of variation of 0.35%, and a feasible rate of 100%. The best solution yielded TDS values of 0.2467, 0.2784, 0.2005, 0.1256, and 0.0500 for R1 through R5, respectively, with a total operating time of 4.054961 s. All CTIs satisfied the minimum limit, and the total operating time decreased by 62.88% compared with the existing settings. Compared with PSO, AMFA produced lower best and mean fitness values and smaller variation between runs. These results show that AMFA effectively accelerates and stabilizes OCR coordination for a fault at BUS33.
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DOI: https://doi.org/10.21107/triac.v13i2.35450
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