Power system optimization by using combined Fast-Decoupled power flow algorithm and UPFC

Authors

DOI:

https://doi.org/10.5281/zenodo.10396115

Keywords:

FACTS, Fast-Decoupled algorithm, Power system analysis, UPFC

Abstract

Electric power systems are structures that should operate stable in all scenarios. Unified power flow controller (UPFC), a flexible alternating current transmission system (FACTS) device, is one of the main assistants to achieve this necessity. In this study a control strategy for power flow optimization that based on the combined Fast-Decoupled (FD) method and UPFC is proposed. A detailed model was designed under MATLAB/Simulink platform in association with MATLAB editor. The IEEE-30 bus system was used to validate the model, and the results were addressed in terms of power loss values and optimization. According to the obtained results, it is observed that proposed model has ability to regulate system parameters for various conditions.

References

İ. Özer, S. B. Efe, and H. Özbay, “CNN / Bi-LSTM-based deep learning algorithm for classification of power quality disturbances by using spectrogram images,” International Transactions on Electrical Energy Systems, vol. 31, no. 12, pp. 1–16, 2021, doi: 10.1002/2050-7038.13204.

I. Ozer, S. B. Efe, and H. Ozbay, “A combined deep learning application for short term load forecasting,” Alexandria Engineering Journal, vol. 60, no. 4, pp. 3807–3818, 2021, doi: 10.1016/j.aej.2021.02.050.

S. Bhowmick, B. Das, and N. Kumar, “An indirect UPFC model to enhance reusability of Newton power-flow codes,” IEEE Transactions on Power Delivery, vol. 23, no. 4, pp. 2079–2088, 2008, doi: 10.1109/TPWRD.2008.923105.

S. B. Efe, “UPFC Based Real-Time Optimization of Power Systems for Dynamic Voltage Regulation,” Computer Modeling in Engineering & Sciences, vol. 116, no. 3, pp. 391–406, 2018, doi: 10.31614/cmes.2018.01784.

S. B. Efe and M. Cebeci, “Power Flow Analysis by Artificial Neural Network,” International Journal of Energy and Power Engineering, vol. 2, no. 6, p. 204, 2013, doi: 10.11648/j.ijepe.20130206.11.

S. B. EFE, “Power Flow Analysis of a Distribution System Under Fault Conditions,” International Journal of Energy and Smart Grid, vol. 1, no. 1, pp. 22–27, 2016, doi: 10.23884/ijesg.2016.1.1.03.

S. B. Efe, M. Cebeci, E. Engineering, and E. Engineering, “Artificial Neural Network Based Power Flow Analysis for Micro Grids,” Bitlis Eren University Journal of Science and Technology, vol. 5, no. 1, pp. 42–47, 2015.

S. B. Efe, M. Cebeci, H. Erdogan, and G. Öztürkmen, “A Novel Approach to Power Flow Analysis for Grid Connected Micro Grid,” in 2015 13th International Conference on Engineering of Modern Electric Systems, EMES 2015, 2015.

P. L. Bhattar, N. M. Pindoriya, A. Sharma, and R. T. Naayagi, “AC-DC multi-phase power flow algorithms for active distribution system analysis,” Electric Power Systems Research, vol. 226, Jan. 2024, doi: 10.1016/j.epsr.2023.109924.

R. Sreerama Kumar and E. Chandrasekharan, “A parallel distributed computing framework for Newton-Raphson load flow analysis of large interconnected power systems,” International Journal of Electrical Power and Energy Systems, vol. 73, pp. 1–6, Dec. 2015, doi: 10.1016/j.ijepes.2015.03.020.

M. Bayat, M. M. Koushki, A. A. Ghadimi, M. Tostado-Véliz, and F. Jurado, “Comprehensive enhanced Newton Raphson approach for power flow analysis in droop-controlled islanded AC microgrids,” International Journal of Electrical Power and Energy Systems, vol. 143, Dec. 2022, doi: 10.1016/j.ijepes.2022.108493.

Y. Wei, Q. Li, K. Z. Liu, P. Wang, Z. Zeng, and X. Wang, “A hybrid algorithm for the load flow analysis of VSC-HVDC systems based on 1+2 order Newton-Raphson and simplified Newton,” International Journal of Electrical Power and Energy Systems, vol. 118, Jun. 2020, doi: 10.1016/j.ijepes.2020.105828.

Q. Li and N. Zhao, “A probability box representation method for power flow analysis considering both interval and probabilistic uncertainties,” International Journal of Electrical Power and Energy Systems, vol. 142, Nov. 2022, doi: 10.1016/j.ijepes.2022.108371.

R. K. Portelinha, C. C. Durce, O. L. Tortelli, and E. M. Lourenço, “Fast-decoupled power flow method for integrated analysis of transmission and distribution systems,” Electric Power Systems Research, vol. 196, Jul. 2021, doi: 10.1016/j.epsr.2021.107215.

L. F. G. S. de Lima, O. L. Tortelli, E. M. Lourenço, and R. K. Portelinha, “Fast decoupled state estimation including thyristor controlled series compensator devices,” Electric Power Systems Research, vol. 213, Dec. 2022, doi: 10.1016/j.epsr.2022.108439.

N. Vojnović, J. Vidaković, and M. Vidaković, “Decoupled load flow for large-scale multiphase distribution networks,” Sustainable Energy, Grids and Networks, vol. 34, Jun. 2023, doi: 10.1016/j.segan.2023.101049.

Downloads

Published

01-06-2023

How to Cite

Power system optimization by using combined Fast-Decoupled power flow algorithm and UPFC. (2023). AINTELIA Science Notes Journal, 2(1), 6-10. https://doi.org/10.5281/zenodo.10396115