In this research will optimize the loading system of power plant units 1-4 of PLTU Suralaya using genetic algorithm method. Optimization (unit of commitment) is designed using matlab software with the right purpose and constraints. Unit Commitment is a problem in the work system that determines the timing of the plant to meet the electricity needs. The method used is a system that can produce optimal loading system with a minimum cost. The simulation was conducted on 1-4 units of Suralaya power plant with total load of 33,117 MW for 24 hours. Using genetic algorithm, the cost reduction process is 5.7105%.
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