Fuzzy Logic Based Reactive Power Control

Authors

  • Mirzohid Sh. SHAROBIDDINOV
  • Ilhombek H. HOLIDDINOV

DOI:

https://doi.org/10.24160/0013-5380-2026-9-26-35

Keywords:

fuzzy logic, OLTC, reactive power compensation, voltage regulation, 110/10 kV substation, ANFIS, capacitor bank, distribution electrical network, electric power quality

Abstract

The article proposes a fuzzy logic based reactive power control method aimed at reducing the excessive number of OLTC stages switching operations at 110/10 kV distribution substations. In the control system, the voltage deviation and the rate of its change are taken as input parameters, and the reactive power compensation level is determined based on the Mamdani algorithm. To conduct the research, a MATLAB/Simulink model was developed that describes the intelligent voltage regulation process in a 110/10 kV electric network. The model includes a 40 MV•A 110/10 kV transformer with a 19-stage OLTC, a 10 kV bus, a load, a power transmission line, a reactive power compensator, and a fuzzy logic controller. The study results have shown that the use of fuzzy logic based adaptive control makes it possible to enhance voltage stability, reduce the reactive power flow and decrease the number of OLTS stages daily switching operations from 14 to 5. The proposed approach helps reduce the transformer’s mechanical wear, extend its service life, and stabilize the electric power quality indicators in accordance with the requirements of GOST 32144-2013.

Author Biographies

Mirzohid Sh. SHAROBIDDINOV

(Fergana State Technical University, Fergana, Uzbekistan) – Doctoral Student of the Energy Engineering Dept.

Ilhombek H. HOLIDDINOV

(Fergana State Technical University, Fergana, Uzbekistan) – Head of the Energy Engineering Dept., Dr. Sci. (Eng.), Docent.

References

1. Счастный В.П., Жуковский А.И. Взаимовлияние режимов регулирования напряжения и компенсации реактивной мощности в электрических сетях промышленных предприятий. – Энергетика. Известия высших учебных заведений и энергетических объединений СНГ, 2021, т. 64, № 3, с. 239–249.

2. Аллаев К.Р., Холиддинов И.Х., Холиддинова M.M. Методология оценки эффективности распределительных электрических сетей. – Электричество, 2025, № 2, с. 4–14.

3. Жежеленко И.В. Основные направления повышения эффективности производства, передачи и распределения электрической энергии. – Энергетика. Известия высших учебных заведений и энергетических объединений СНГ, 2018, т. 61, № 1, с. 28–35.

4. Saleem A. et al. Estimation of Powerquality in Distribution System Using Fuzzy Logic Theory. – Indonesian Journal of Electrical Engineering and Computer Science, 2023, vol. 32, No. 3, pp. 1236–1245, DOI: 10.11591/ijeecs.v32.i3.pp1236-1245.

5. Ананичева С.С., Шелюг С.Н. Электроэнергетические системы и сети. Екатеринбург: Изд-во Уральского университета, 2019, 296 с.

6. Sharobiddinov M. et al. Voltage Regulation in Distribution Networks Using Fuzzy Logic Algorithms. – 14th International Conference on Electrical Power Systems, 2025, DOI: 10.1109/ICRERA66237.2025.11283883.

7. Пат. RU 2467447 C1. Устройство динамического управления режимом напряжения в электрической сети с применением fuzzy-логики / Б.Н. Абрамович и др., 2012.

8. Пат. № 11925 (на полезную модель), Республика Казахстан. Устройство автоматического регулирования напряжения в электрических сетях / А.Т. Кибишов и др., 2025.

9. Liu J. et al. An OLTC-Inverter Coordinated Voltage Regulation Method for Distribution Network with High Penetration of PV Generations. – International Journal of Electrical Power & Energy Systems, 2019, vol. 113, pp. 991–1001, DOI: 10.1016/j.ijepes.2019.06.030.

10. Spertino F. et al. Voltage Control in Low Voltage Grids with Independent Operation of on-Load Tap Changer and Distributed Photovoltaic Inverters. – Electric Power Systems Research, 2022, vol. 211, DOI: 10.1016/j.epsr.2022.108187.

11. Maataoui Y. et al. Voltage Control Using Fuzzy Logic for Radial Distribution Network with High Penetration of Photovoltaic Generators. – 10th Int. Conf. on Innovation, Modern Applied Science & Environmental Studies, 2022, vol. 351, 2022, DOI: 10.1051/e3sconf/ 202235101030.

12. Choukri L. et al. On-Load Tap-Changer Control by a Fuzzy Logic Controller. – 4th World Conf. on Complex Systems, 2019, DOI: 10.1109/ICoCS.2019.8930778.

13. Sadeghi S.E., Shahabi M., Foroud A.A. A New Approach for Static Voltage Stability Assessment in Transmission Networks in the Presence of OLTC. – Electric Power Systems Research, 2024, vol. 236, DOI: 10.1016/j.epsr.2024.110941.

14. Shokrollahi A. et al. Reliability Assessment of Distribution System Using Fuzzy Logic for Modelling of Transformer and Line Uncertainties. – North American Power Symposium, 2017, DOI: 10.1109/NAPS.2017.8107257.

15. Rakhimovich A.K. et al. Evaluation of Additional Electricity Losses in Electric Networks Using a Meter. – Indonesian Journal of Electrical Engineering and Computer Science, 2023, vol. 31, No. 2, pp. 617–625, DOI: 10.11591/ijeecs.v31.i2.pp617-625.

16. Maataoui Y. et al. New Control Scheme of on-Load Tap Changer for Voltage Regulation in Active Distribution Systems Using Fuzzy Logic. – 4th Int. Conf. on Computing and Wireless Communication Systems, 2022, vol. 48, DOI: 10.1051/ITMCONF/20224804001.

17. Emjedi M.R. et al. Reliability Evaluation of Distribution Networks Using Fuzzy Logic. – IEEE PES General Meeting, 2010, DOI: 10.1109/PES.2010.5589702.

18. Masetti C. Revision of European Standard EN 50160 on Power Quality: Reasons and Solutions. – 14th Int. Conf. on Harmonics and Quality of Power, 2010, DOI: 10.1109/ICHQP.2010.5625472.

19. Wang Y.J., Yang M.J. Probabilistic Modeling of Three-Phase Voltage Unbalance Caused by Load Fluctuations. – IEEE Power Engineering Society Winter Meeting, 2000, vol. 4, pp. 2588–2593, DOI: 10.1109/PESW.2000.847290.

20. Piasson D. et al. A Proposal for Reliability Evaluation of Components on Electric Power Distribution System Integrating Probabilistic Models and Fuzzy Inference Systems. – 6th IEEE/PES Transmission and Distribution: Latin America Conf. and Exposition, 2012, DOI: 10.1109/TDC-LA.2012.6319094.

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1. Schastnyy V.P., Zhukovskiy A.I. Energetika. Izvestiya vysshih uchebnyh zavedeniy i energeticheskih ob’edineniy SNG – in Russ. (Power Industry. News of Higher Educational Institutions and Energy Associations of the CIS), 2021, vol. 64, No. 3, pp. 239–249.

2. Allaev K.R., Holiddinov I.H., Holiddinova M.M. Elektri-chestvo – in Russ. (Electricity), 2025, No. 2, pp. 4–14.

3. Zhezhelenko I.V. Energetika. Izvestiya vysshih uchebnyh zavedeniy i energeticheskih ob’edineniy SNG – in Russ. (Power Industry. News of Higher Educational Institutions and Energy Associations of the CIS), 2018, vol. 61, No. 1, pp. 28–35.

4. Saleem A. et al. Estimation of Powerquality in Distribution System Using Fuzzy Logic Theory. – Indonesian Journal of Electrical Engineering and Computer Science, 2023, vol. 32, No. 3, pp. 1236–1245, DOI: 10.11591/ijeecs.v32.i3.pp1236-1245.

5. Ananicheva S.S., Shelyug S.N. Elektroenergeticheskie sistemy i seti (Electric Power Systems and Networks). Ekaterinburg: Izd-vo Ural’skogo universiteta, 2019, 296 p.

6. Sharobiddinov M. et al. Voltage Regulation in Distribution Networks Using Fuzzy Logic Algorithms. – 14th International Conference on Electrical Power Systems, 2025, DOI: 10.1109/ICRERA 66237.2025.11283883.

7. Pat. RU 2467447 C1. Ustroystvo dinamicheskogo upravleniya rezhimom napryazheniya v elektricheskoy seti s primeneniem fuzzy-logiki (A Device for Dynamically Controlling the Voltage Regime in an Electrical Network Using Fuzzy Logic) / B.N. Abramovich et al., 2012.

8. Pat. No. 11925 (Utility Model), Republic of Kazakhstan. Ustroystvo avtomaticheskogo regulirovaniya napryazheniya v elektricheskih setyah (Automatic Voltage Regulation Device in Electrical Networks) / A.T. Kibishov et al., 2025.

9. Liu J. et al. An OLTC-Inverter Coordinated Voltage Regulation Method for Distribution Network with High Penetration of PV Generations. – International Journal of Electrical Power & Energy Systems, 2019, vol. 113, pp. 991–1001, DOI: 10.1016/j.ijepes.2019.06.030.

10. Spertino F. et al. Voltage Control in Low Voltage Grids with Independent Operation of on-Load Tap Changer and Distributed Photovoltaic Inverters. – Electric Power Systems Research, 2022, vol. 211, DOI: 10.1016/j.epsr.2022.108187.

11. Maataoui Y. et al. Voltage Control Using Fuzzy Logic for Radial Distribution Network with High Penetration of Photovoltaic Generators. – 10th Int. Conf. on Innovation, Modern Applied Science & Environmental Studies, 2022, vol. 351, 2022, DOI: 10.1051/e3sconf/202235101030.

12. Choukri L. et al. On-Load Tap-Changer Control by a Fuzzy Logic Controller. – 4th World Conf. on Complex Systems, 2019, DOI: 10.1109/ICoCS.2019.8930778.

13. Sadeghi S.E., Shahabi M., Foroud A.A. A New Approach for Static Voltage Stability Assessment in Transmission Networks in the Presence of OLTC. – Electric Power Systems Research, 2024, vol. 236, DOI: 10.1016/j.epsr.2024.110941.

14. Shokrollahi A. et al. Reliability Assessment of Distribution System Using Fuzzy Logic for Modelling of Transformer and Line Uncertainties. – North American Power Symposium, 2017, DOI: 10.1109/NAPS.2017.8107257.

15. Rakhimovich A.K. et al. Evaluation of Additional Electricity Losses in Electric Networks Using a Meter. – Indonesian Journal of Electrical Engineering and Computer Science, 2023, vol. 31, No. 2, pp. 617–625, DOI: 10.11591/ijeecs.v31.i2.pp617-625.

16. Maataoui Y. et al. New Control Scheme of on-Load Tap Chan-ger for Voltage Regulation in Active Distribution Systems Using Fuzzy Logic. – 4th Int. Conf. on Computing and Wireless Communication Systems, 2022, vol. 48, DOI: 10.1051/ITMCONF/20224804001.

17. Emjedi M.R. et al. Reliability Evaluation of Distribution Networks Using Fuzzy Logic. – IEEE PES General Meeting, 2010, DOI: 10.1109/PES.2010.5589702.

18. Masetti C. Revision of European Standard EN 50160 on Power Quality: Reasons and Solutions. – 14th Int. Conf. on Harmonics and Quality of Power, 2010, DOI: 10.1109/ICHQP.2010.5625472.

19. Wang Y.J., Yang M.J. Probabilistic Modeling of Three-Phase Voltage Unbalance Caused by Load Fluctuations. – IEEE Power Engineering Society Winter Meeting, 2000, vol. 4, pp. 2588–2593, DOI: 10.1109/PESW.2000.847290.

20. Piasson D. et al. A Proposal for Reliability Evaluation of Components on Electric Power Distribution System Integrating Probabilistic Models and Fuzzy Inference Systems. – 6th IEEE/PES Transmission and Distribution: Latin America Conf. and Exposition, 2012, DOI: 10.1109/TDC-LA.2012.6319094

Published

2026-09-13

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