Unit Commitment dengan Kekangan Keandalan Menggunakan Algoritme Genetika Mempertimbangkan Ketidakpastian Beban
Abstract: Unit commitment
problem is associated with satisfying load demand and minimizing the total
operating cost of the generating unit without violation of unit and system
constraints. The solution of unit commitment should be reliable which has
adequate spinning reserve in order to anticipate the uncertainty issue. This
research proposes a method to handle two uncertainty issues, i.e. unit
unavailability and load forecast uncertainty. The unit commitment problem is
solved by genetic algorithm with priority list approach. The evaluation of
spinning reserve capacity is based on probabilistic criterion by incorporating
two reliability indices, i.e. loss of load probability (LOLP) and expected
unserved energy (EUE). The effectiveness of the proposed method is tested using
IEEE Reliability Test System-1996. The simulation results show that the
proposed method is capable for solving unit commitment problem at total
operational cost of $ 722186.93 and risk index at 0.347% (while EUE 0.01%, LOLP
1% and standard deviation (SD) 5%). The simulation results also demonstrate
that several solution of the method have slightly lower cost up to 0.43% than
those obtained in benchmark which the solution based on Simulated Annealing
method.
Kata Kunci: unit
commitment, kekangan keandalan, ketidakpastian peramalan beban,
algoritme genetika, simulated annealing, cadangan berputar, kiteria
probabilistik, LOLP, EUE
Penulis: Sarjiya, Sasongko
Pramono Hadi, Daniar Rizki Wijayanti
Kode Jurnal: jptlisetrodd160436
