PENJADWALAN OPERASIONAL PEMBANGKIT BERBASIS ALGORITMA GENETIK PADA SISTEM PEMBANGKIT SUMATERA BAGIAN TENGAH
Abstract: Load demand of
electric power supply varies from hour to hour in a day . It is inefficient to
operate all power plants along day under various load variation. A power plant
scheduling system is needed to minimize total operation cost of the power
plants and in order to meet the amount of power needed by the load. This
research proposes a method on power plant scheduling based on genetic
algorithm. Total operation cost is used as objective function and the amount of
power needed by the load is applied as a constraint. Population of chromosome
in genetic algorithm represent candidates of alternative schedule of power
plant operation. The best chromosome is the schedule with minimum cost and
which meets the constraint. This method was applied to schedule the power plant
system of Sumatera Bagian Tengah. Optimization was done in every 30 minutes.
Based on test and analysis, this method results in more efficient cost,
compared to manual operation of power plant systems.
Penulis: Rahmanul Ikhsan, Wati
Ana Ratna Dwi, Budi Astuti
Kode Jurnal: jptindustridd130551
