Volume : 8, Issue : 6, JUN 2022

MINIMIZATION OF POWER LOSS BY TAP CHANGING TRANSFORMER USING PSO ALGORITHM

VIJJU BINDHU NAGA SWATHIKA DEVI, CHODAGAM SRINIVAS

Abstract

Load uncertainty increases with increase of power consumption in the recent years and it causes the power losses and low voltage profile in the radial distribution system. By the increase of distribution transformer tap settings the voltage profile of buses will be improved and reduces the power losses in the distribution system. But execs of voltage levels are causes to higher power losses in the distribution system. This paper aims to reduce the real and reactive power losses in the distribution system by changing the transformer tap settings using PSO algorithm. Proposed methodology examined on standard 15 bus distribution system with EV charging station and DG system. Constant power and constant Voltage dependent load modeling are considered.

Keywords

15 BUS TEST SYSTEM, DISTRIBUTION SYSTEM, PSO ALGORITHM, LOAD MODELING, REAL AND REACTIVE POWER LOSSES.

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References

  1. M. W. Gustafson and J. S. Baylor, “Approximating the System Losses Equation,” IEEE Trans. Power Syst., vol. 4, no. 3, pp. 850–855, 1989, doi: 10.1109/59.32571.
  2. G. de F. Aguiar, B. C. X. C. Aguiar, V. E. Wilhelm, H. M. Wilhelm, and H. de A. Pizza da Silva, “Investigation of greatness that impact on power transformer useful life,” J. Innov. Technol. Educ., vol. 3, no. 1, pp. 147–157, 2016, doi: 10.12988/jite.2016.6717.
  3. S. Nawaz, M. Sharma, and A. Tandon, A new approach for power loss minimization in radial distribution networks, vol. 697. Springer Singapore, 2019. doi: 10.1007/978-981-13-1822-1_1.
  4. F. Xiaoke, S. Weiwei, D. Chunyu, Z. Jianliang, S. Jidong, and W. Dongju, “Study on Fundamental Principles and Methodologies of Distribution Network Reconfiguration,” TELKOMNIKA Indones. J. Electr. Eng., vol. 12, no. 3, pp. 1695–1700, 2014, doi: 10.11591/telkomnika.v12i3.4564.
  5. M. N. Bin Muhtazaruddin et al., “Distribution power loss minimization via distributed generation, capacitor and network reconfiguration,” Indones. J. Electr. Eng. Comput. Sci., vol. 5, no. 3, pp. 488–495, 2017, doi: 10.11591/ijeecs.v5.i3.pp488-495.
  6. A. M. Shaheen, R. A. El-Sehiemy, S. Kamel, E. E. Elattar, and A. M. Elsayed, “Improving Distribution Networks’ Consistency by Optimal Distribution System Reconfiguration and Distributed Generations,” IEEE Access, vol. 9, pp. 67186–67200, 2021, doi: 10.1109/ACCESS.2021.3076670.
  7. D. P. R. P., V. R. V.C., and G. M. T., “Optimal renewable resources placement in distribution networks by combined power loss index and whale optimization algorithms,” J. Electr. Syst. Inf. Technol., vol. 5, no. 2, pp. 175–191, 2018, doi: 10.1016/j.jesit.2017.05.006.
  8. O. E.o, A. T.o, O. I.k, and A. I. O.o, “Optimal sitting and sizing of shunt capacitor for real power loss reduction on radial distribution system using firefly algorithm: A case study of Nigerian system,” Energy Sources, Part A Recover. Util. Environ. Eff., vol. 00, no. 00, pp. 1–13, 2019, doi: 10.1080/15567036.2019.1673507.
  9. Mahdavi, M., Alhelou, H. H., Hatziargyriou, N. D., & Al-Hinai, A. (2021). An Efficient Mathematical Model for Distribution System Reconfiguration Using AMPL. IEEE Access, 9, 79961–79993. https://doi.org/10.1109/ACCESS.2021.3083688.

Ullah, Z., Elkadeem, M. R., & Wang, S. (2019). Power loss minimization and reliability enhancement in active distribution networks considering RES uncertainty. International Journal of Renewable Energy Research, 9(3), 1–9. https://doi.org/10.20508/ijrer.v9i3.9516.g7699.

  1. Diaaeldin, I. M., Aleem, S. H. E. A., El-Rafei, A., Abdelaziz, A. Y., & Zobaa, A. F. (2019). A novel graphically-based network reconfiguration for power loss minimization in large distribution systems. Mathematics, 7(12), 1–17. https://doi.org/10.3390/MATH7121182.
  2. Abdel-Mawgoud, H., Kamel, S., Tostado, M., Yu, J., & Jurado, F. (2018). Optimal installation of multiple DG using chaotic moth-flame algorithm and real power loss sensitivity factor in distribution system. 2018 International Conference on Smart Energy Systems and Technologies, SEST 2018 - Proceedings, 2, 1–5. https://doi.org/10.1109/SEST.2018.8495722.
  3. Kayal, P., & Chanda, C. K. (2013). Placement of wind and solar based DGs in distribution system for power loss minimization and voltage stability improvement. International Journal of Electrical Power and Energy Systems, 53, 795–809. https://doi.org/10.1016/j.ijepes.2013.05.047.
  4. Casper SG, et al. (1995) bibliography on load models for power flow and dynamic performance simulation. IEEE Trans power syst 10(1):523-538.
  5. Li X Song YJ, Han SB, frequency control in micro-grid power system combined with electrolyzer system and fuzzy PI controller, J power sorces, 2008; 180(1):468-75.
  6. Daijiafan mao, ziran gao, jiankang wang, “an integrated algorithm for evolution for evaluating plug-in electricle’s impact on the state of power grid assets”, electrical power and energy systems, vol.105, pp 793-802, 2019.