PENDEKATAN OPTIMISASI FUZZY UNTUK PENJADWALAN PEMBANGKIT LISTRIK SISTEM ENERGI FOSIL, ENERGI AIR, DAN ENERGI ANGIN DENGAN ALGORITMA GENETIK; ( A FUZZY-OPTIMIZATION APPROACH FOR POWER GENERATION SCHEDULING OF THERMAL, HYDROPOWER, AND WIND ENERGY SYSTEM POWER PLANT WITH GENETIC ALGORITHM )

Amalia, Ayu Azmy, Irwan Endrayanto

2015 | Disertasi | FMIPA

Power generation scheduling is an optimization issue that aims to minimize the total thermal units fuel cost. Performing the generation scheduling of thermal, hydropower, and wind energy system requires some information of power load demand, available water, wind speed, and reserve requirement, which are obtained by forecasting. However, errors can not be prevented from these forecast values. Errors are considered as fuzziness, therefore in this study, the power generation scheduling issue will be approached by the fuzzy optimization models. This fuzzy optimization problem is solved using genetic algorithm with fuzzy decision concept. Minimizing total thermal fuel cost is done within a consideration of controlling the CO2 emission of coal-fired system power plant. Simulation tests are performed upon different and arbitrary initial populations. The results show that the genetic algorithm has a very good level of stability in providing the search of optimal solutions approach, with the average relative error is 0,34% and the average processing time is 38,82 seconds. The installation of 1 unit wind-power system power plant decreased the total thermal units fuel cost by 14,357% and decreased the CO2 emission by 0,932% in short-term scheduling. Furthermore, the results show that in medium-term scheduling, the total thermal units fuel cost decreased by 10,318% and the CO2 emission decreased by 0,756%.

Kata Kunci : Scheduling; power generation; fuel cost; fuzzy optimization; genetic algorithm; CO2 emission