Optimasi Dynamic Economic Dispatch pada Sistem Tenaga Hibrida Berbasis Photovoltaic Menggunakan Algoritma Turbulent Flow of Water-Based Optimization

Moh. Erdianto Triputradi; Ni Ketut  Aryani; Rony Seto  Wibowo; Berliandra  Oktaviani; Achsan Najmy

Authors

Moh. Erdianto Triputradi Universitas Jember Author
Ni Ketut Aryani Institut Teknologi Sepuluh Nopember Author
Rony Seto Wibowo Institut Teknologi Sepuluh Nopember Author
Berliandra Oktaviani Institut Teknologi Sepuluh Nopember Author
Achsan Najmy Universitas Jember Author

Keywords:

Dynamic Economic Dispatch (DED), Turbulent Flow of Water Optimization (TFWO), Sistem Tenaga Hibrida Berbasis Photovoltaic , photovoltaic

Abstract

The Increasing of living population, which impacts the increasing need for loads, is a challenge for plants in providing the need for electrical loads. The depletion of supplies and the high price of fossils constrain the cost of generating thermal plants. Therefore, a combination of alternative Photovoltaic (PV) energy power generation is needed to reduce the cost of generating thermal plants. Dynamic Economic Dispatch (DED) is one of the optimization techniques in power plants to determine the combination of output power in each generator in each period. This paper proposes an optimization technique to solve the DED problem in a hybrid PV base power system using Turbulent Flow Water-Based Optimization (TFWO) Method. This paper will compare the results and analysis of total generation costs before and after using PV plants. The total generation cost shows that the generation cost using PV can reduce the generation cost by $302,799.67.

References

[1] N. K. Aryani, D. F. U. Putra, E. A. Arifin, dan A. S. Daroini, “Security Constrained Unit Commitment Considering Ramp Rate and Transmission Line Losses Using Binary Particle Swarm Optimization Based on IEEE 30 Bus System,” Proc. - 2019 Int. Semin. Intell. Technol. Its Appl. ISITIA 2019, no. 1, hal. 132–137, 2019, doi: 10.1109/ISITIA.2019.8937246.

[2] X. Liu, C. Geng, dan J. Guan, “Day-ahead economic dispatch including Photovoltaic power generation cost,” in 2020 Chinese Automation Congress (CAC), Nov 2020, hal. 1369–1374. doi: 10.1109/CAC51589.2020.9326702.

[3] L. Yaohua dan L. Kong, “Development of Solar and Wind Power Generation Technology to Accelerate Chinas’s Energy Transformation,” Bull. Chinese Acad. Sci., vol. 34, no. 4, hal. 426–433, 2019.

[4] A. J. Wood, B. F. Wollenberg, dan G. B. Sheble, Power Generation, Operation, and Control, Third. New Jersey: John Wiley & Sons, Inc., 2013.

[5] X. Zhao et al., “Economic dispatch of multi-energy system considering seasonal variation based on hybrid operation strategy,” Energy, vol. 238, hal. 121733, Jan 2022, doi: 10.1016/j.energy.2021.121733.

[6] Y. Zhu et al., “Hierarchical economic load dispatch based on chaotic-particle swarm optimization,” Proc. - Int. Conf. Nat. Comput., no. 2, hal. 517–521, 2013, doi: 10.1109/ICNC.2013.6818031.

[7] G. C. Cho et al., “Dynamic Economic Dispatch in isolated microgrids incorporating the energy storage system,” Proc. 3rd 2021 Int. Youth Conf. Radio Electron. Electr. Power Eng. REEPE 2021, 2021, doi: 10.1109/REEPE51337.2021.9387992.

[8] K. B. A. Arifin, R. S. Wibowo, dan N. K. Aryani, “Dynamic Economic Dispatch Mempertimbangkan Rugi-Rugi Transmisi Menggunakan Quadratically Constrained Quadratic Program,” J. Tek. ITS, vol. 7, no. 2, 2019, doi: 10.12962/j23373539.v7i2.30870.

[9] Y. T. K. Priyanto, M. F. Maulana, dan A. Giyantara, “Dynamic Economic Dispatch using chaotic bat algorithm on 150kV Mahakam power system,” 2017 Int. Semin. Intell. Technol. Its Appl. Strength. Link Between Univ. Res. Ind. to Support ASEAN Energy Sect. ISITIA 2017 - Proceeding, vol. 2017-January, no. 1, hal. 116–121, 2017, doi: 10.1109/ISITIA.2017.8124065.

[10] G. R. Gumelar, R. S. Wibowo, dan A. Soeprijanto, “Dynamic Economic Dispatch Mempertimbangkan Prohibited Operating Zones Menggunakan Algoritma Improved Artificial Bee Colony,” J. Tek. ITS, vol. 6, no. 2, 2017, doi: 10.12962/j23373539.v6i2.23990.

[11] A. Kalakova, H. S. V. S. K. Nunna, P. K. Jamwal, dan S. Doolla, “A Novel Genetic Algorithm Based Dynamic Economic Dispatch With Short-Term Load Forecasting,” IEEE Trans. Ind. Appl., vol. 57, no. 3, hal. 2972–2982, 2021.

[12] W. Yang, Z. Peng, Z. Yang, Y. Guo, dan X. Chen, “An enhanced exploratory whale optimization algorithm for Dynamic Economic Dispatch,” Energy Reports, vol. 7, hal. 7015–7029, 2021, doi: 10.1016/j.egyr.2021.10.067.

[13] J. Singh, S. Poddar, S. P. Ramalingam, P. K. Shanmugam, dan A. Kalam, “Investigation on Dynamic Economic Dispatch Problem of Micro Grid Using Cuckoo Search Algorithm - Grid Connected and Islanded Mode,” IEEE Reg. 10 Annu. Int. Conf. Proceedings/TENCON, vol. 2019-Octob, hal. 1886–1891, 2019, doi: 10.1109/TENCON.2019.8929286.

[14] M. Zare, M. R. Narimani, M. Malekpour, R. Azizipanah-Abarghooee, dan V. Terzija, “Reserve constrained Dynamic Economic Dispatch in multi-area power systems: An improved fireworks algorithm,” Int. J. Electr. Power Energy Syst., vol. 126, no. PA, hal. 106579, 2021, doi: 10.1016/j.ijepes.2020.106579.

[15] M. Ghasemi, I. Faraji, E. Akbari, dan A. Rahimnejad, “A Novel and Effective Optimization Algorithm for Global Optimization and Its Engineering Applications: Turbulent Flow of Water-based Optimization (TFWO),” vol. 92, no. February, 2020, doi: 10.1016/j.engappai.2020.103666.