Unit Commitment dengan Kekangan Keandalan Menggunakan Algoritme Genetika Mempertimbangkan Ketidakpastian Beban

Sarjiya Sarjiya, Sasongko Pramono Hadi, Daniar Rizki Wijayanti


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.

Full Text:



D. Chattopadhyay and R. Baldick, "Unit Commitment With Probabilistic Reserve," hal.. 280-285, 2002.

D. N. Simopoulos, S. D. Kavatza and C. D. Vournas, "Reliability Constrained Unit Commitment Using Simulated Annealing", IEEE Transactions on Power Systems, Vol. 21, No. 4, 2006.

T. Ghanbarzadeh, S. Goleijani and M. P. Moghaddam, "Reliability Constrained Unit Commitment with Electric Vehicle to Grid Using Hybrid Particle Swarm Optimization and Ant Colony Optimization", IEEE Power and Energy Society General Meeting, 2011.

S. Kazarlis, A. Bakirtzis and V. Petridis, A genetic Algorithm Solution to the Unit Commitment Problem, vol. 11, no. No.1, 1996.

G.Sheble, T. Maifeld and K. Brittig, "Unit commitment by genethic algorithm with penalty methods and a comparison of Lagrangian search and genetic algorithm-economic dispatch example", Int.J.Electr.Power Energy Syst, vol. 18, pp. 339-346, 1996.

Sarjiya, A. B. Mulyawan and A. Sudiarso, "Unit Commitment Solution Using Genetic Algorithm based on Priority List Approach", Journal of Theoretical and Applied Information Technology, 28th February 2015, Vol. 72, No. 3 pp 394-403.

A. Setiawan, "Optimasi Penjadwalan Pembangkit Thermal Sistem Kelistrikan Jawa Bali tahun 2010 Menggunakan Algoritma Genetika", Universitas Gadjah Mada, 2012.

A. B. Mulyawan, "Network Constrained Unit Commitment Menggunakan Metode Algoritma Genetika Dengan Pendekatan Metode Priority List Mempertimbangkan Kekangan Keandalan", Universitas Gadjah Mada, 2014.

Bo Wang, You Li, and Junzo Watada, "Supply Reliability and Generation Cost Analysis Due to Load Forecast Uncertainty in Unit Commitment Problems," IEEE Transactions on Power Systems, vol. 28, pp. 2242-2252, 2013.

N. V. Hernandez, "Load Forecast Uncertainty Consideration in Bulk Electrical System Adequacy Assessment," University of Saskattchewan, 2009.

R. Billinton and D. Huang, "Effects of Load Forecast Uncertainty on Bulk Electric System Reliability Evaluation," IEEE Transactions on Power SystemS, vol. 23, pp. 418-425, May 2008.

A. Trivedi, D. Sharma and D. Srinivasan, "Multi-objectivization of Short-Term Unit Commitment under Uncertainty using Evolutionary Algorithm", IEEE World Congress on Computational Intelligence, 2012.

D. Zhai, A. Breipohl, F. Lee and R. Adapa, "The Effect of Load Uncertainty on Unit Commitment Risk", IEEE Trans. on Power Syst., vol. 9, pp. 510-517, 1994.

P. Xiong and P. Jirutitijaroen, "A Stochastic Optimization Formulation of Unit Commitment With Reliability Constraints", IEEE Transactions on Smart Grid, Vol. 4, No. 4, 2013.

A. J. Wood and B. F. Wollenberg, Power Generation, Operation, Control, New York: John Wiley & Sons, Inc., 1996.

Module PE.PAS.U20.5 Operating reserve evaluation, Power Learn Electric Power Engineering Education, 2012.

R. Billinton and R. N. Allan, Reliability Evaluation of Power Systems, Massachusetts: Pitman advanced Publishing Program, 1984.

N. R. Ramadhani, "Optimasi Penjadwalan Pembangkit Terminal Dengan Media Penyimpanan Energi Menggunakan Algoritma Genetika", Universitas Gadjah Mada, Yogyakarta, 2013.

C. Grigg, P. Wong and P. Albrecht, "The IEEE reliability test system-1996. A report prepared by the reliability test system task force of the application of probability methods subcommittee", IEEE Trans. Power Syst., vol. 14, pp. 1010-1020, 1999.

R. Allan, R. Billinton and N. Abdel-Gawad, "The IEEE Reliability Test System - Extensions to and Evaluation of The Generating System", IEEE Transactions on Power Systems, 1986.

A.Sudiarso, Design of Experiment #1, in Statistics for Industrial Engineers 2 1B, 2012.

DOI: http://dx.doi.org/10.22146/jnteti.v5i4.283


  • There are currently no refbacks.

Copyright (c) 2016 Jurnal Nasional Teknik Elektro dan Teknologi Informasi (JNTETI)