Dinamic Economic Dispatch (DED) Berbasis Mixed Integer Linear Programming (MILP) Dengan Mempertimbangkan Pembangkit EBT Pada Kelistrikan Pulau Sumbawa
Abstract
In the Dynamic Economic Dispatch (DED) based on Mixed Integer Linear Programming (MILP) for the electricity of Sumbawa Island by considering RE (Renewable Energy) power plants, several aspects need to be considered, namely Variable Addition and Limitations: In the MILP model, the new variable must include the allocation of power from RE sources, such as solar power plants or geothermal power plants. Relevant technical and operational constraints should also be applied, such as capacity limits, characteristic curves and sustainability limits for renewable energy sources. The Sumbawa Island electricity system must consider the technical limitations related to RE Power plants. This includes capacity limitations, sustainability limitations (such as solar radiation levels or water discharge during the dry season), as well as the system's ability to handle variations in power generated by RE Power plants that depend on natural energy sources. One of the challenges in integrating RE Power plants is its variability. Renewable energy sources such as solar and hydropower tend to fluctuate in their power output depending on weather conditions. Therefore, the DED model must consider predictions or estimates of the power generated by RE Power plants to optimize accurate power allocation and minimize operational costs. The simulation results show that the Mixed Integer Linear Programming (MILP) method is able to provide a simple and economical solution to the DED problem. The change in operation using gas fuel and cofiring by 5% is a factor in the existence of minimal fixed power in the system. This thesis is a DED solution using Mixed Integer Linear Programming (MILP) by considering fuel changes as the main consideration in mathematical calculations to determine plant operation. With the change in PLTMG fuel type from B35 to gas, total generation costs decreased by 10.89%. With the change in PLTMG fuel type from B35 to gas and PLTU cofiring by 5%, total generation costs decreased by 10.94%.
References
E. Castillo, C. A.J, P. Padregal, R. Gracia and N. ALguacil, Building and Solving Mathematical Programming Models in Engineering andcience, Pure and Applied Mathematics Series, New York: Wiley, 2002.
G. W. Chang, C. S. Chuang, T. K. Lu, and C. C. Wu, “Frequency- regulating reserve constrained unit commitment for an isolated power system,” IEEE Transactions on Power Systems, vol. 28, no. 2, pp. 578– 586, 2013, doi: 10.1109/TPWRS.2012.2208126
H. Saadat, Power System Analysis, New York: The McGraw- Hill Companies, 1999.
L. E. Sokoler, P. Vinter, R. Baerentsen, K. Edlund, and J. B. Jorgensen, “Contingency-Constrained Unit Commitment in Meshed Isolated Power Systems,” IEEE Transactions on Power Systems, vol. 31, no. 5, pp. 3516– 3526, Sep. 2016, doi: 10.1109/TPWRS.2015.2485781
P. Attaviriyanupap, H. Kita, E. Tanaka and J. Hasegawa, "A hybrid EP and SQP for dynamic economic dispatch with nonsmooth fuel cost function," IEEE Transactions on Power Systems, vol. 17, pp. 411-416, 2002.
R. Balamururgan and S. Subramanian, "Differential Evolution- based Dynamic Economic Dispatch of Generating Units with Valve-point Effects," Electric Power Components and Systems, pp. 828-843, 2008.
Roth, M., Franke, G., & Rinderknecht, S. (2022). Decentralised multi-grid coupling for energy supply of a hybrid bus depot using mixed-integer linear programming. Smart Energy, 8. https://doi.org/10.1016/j.segy.2022.100090 Mohammed, A., Ghaithan, A. M., Al-Hanbali, A., & Attia, A. M. (2023). A multi-objective optimization model based on mixed integer linear programming for sizing a hybrid PV-hydrogen storage system. International Journal of Hydrogen Energy, 48(26), 9748–9761. https://doi.org/10.1016/j.ijhydene.2022.12.060.
T. Niknam, R. Azizipanah-Abarghooee and J. Aghaei, "A new modified teaching-learning algorithm for reserve constrained dynamic economic dispatch," IEEE Transactions on Power Systems, vol. 28, pp. 749-763, 2013.
W. Bernard, Introduction to Management Science, Ninth Edition, Virginia: Prentice Hall, 2006
W. Zhaolong, D. Jianying, H. W. Q, J. Zhaoxia and Z. Jiehui, "Reserve Constrained Dynamic Economic Dispatch with Valve- point Effect: A Two-stage Mixed Integer Linear Programming Approach," CSEE Journal Of Power and Energy System, vol. 3, pp. 203-211, 2017.
Copyright (c) 2024 Tri Handoyo Baniantoro, Rony Seto Wibowo
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.