Evaluasi Sistem Distribusi Listrik IPAM Menggunakan Fuzzy Decision Making Berbasis Kualitas dan Rugi Daya
DOI:
https://doi.org/10.63822/3vhz8h42Keywords:
Electrical distribution system, power quality, stator power loss, Fuzzy Decision MakingAbstract
This study analyzes the electric power quality and operational conditions of induction motors at a Water Treatment Plant (IPAM) using the Fuzzy Decision Making (FDM) method. The analyzed parameters include voltage, voltage harmonics, current unbalance, power factor, and stator copper losses in Distribution Motors 1, 4, and 5. The analysis results show that the average voltage harmonics is 1.37%, which remains within the IEEE 519-1992 limit of 3%. The average current unbalance for all motors is 2.75%, within the IEC 60038 limit of 5%. Voltage levels experience an average overvoltage of 4.72%, staying within the ANSI C84.1 – 2020 limit of 5%. The average power factor is 0.833, which is below the SPLN D3.004-1:2010 standard minimum of 0.85. Stator copper losses for all motors average 1.928%, well within the IEC 60034-30-1 limit of 5.6%. The Mamdani fuzzy inference system, utilizing 48 IF-THEN rules, produces a single condition index for each motor. The results indicate that Distribution Motor 1 has an average index of 82.9, Motor 4 an average of 86.2, and Distribution Motor 5 an average of 82.6, all of which fall within the 'Normal' category.
References
Afrane, S., Ampah, J. D., Abdul Yusuf, A., Mensah, E. A., Oti, J. B., Asante, D., & Dankwa, D. A. (2021). Prioritizing Renewable Energy Sources for Electrification in Ghana: A Decision Support Framework Using Fuzzy Theory. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.3941689
Bardyk, E. I., & Bolotnyi, N. P. (2023). Development of fuzzy classifier for technical condition ranking of power transformer. Electrical Engineering & Electromechanics, (5), 3–13. https://doi.org/10.20998/2074-272X.2023.5.01
Beniwal, R. K., Saini, M. K., Nayyar, A., Qureshi, B., & Aggarwal, A. (2021). A Critical Analysis of Methodologies for Detection and Classification of Power Quality Events in Smart Grid. IEEE Access, 9, 83507–83534. https://doi.org/10.1109/ACCESS.2021.3087016
Blazakis, K. V., Kapetanakis, T. N., & Stavrakakis, G. S. (2020). Effective Electricity Theft Detection in Power Distribution Grids Using an Adaptive Neuro Fuzzy Inference System. Energies, 13(12), 3110. https://doi.org/10.3390/en13123110
Bonilla, A. R., & Le, H. T. (2024). Analysis and Mitigation of Harmonics for a Wastewater Treatment Plant Electrical System. WSEAS TRANSACTIONS ON CIRCUITS AND SYSTEMS, 23, 1–13. https://doi.org/10.37394/23201.2024.23.1
Bucho, L. F. D., Fernandes, J. F. P., Costa Branco, P. J., Biasion, M., Vaschetto, S., & Cavagnino, A. (2022). Losses Analysis of Induction Motors under Ambient and Cryogenic Conditions. 2022 IEEE Energy Conversion Congress and Exposition (ECCE), 01–07. https://doi.org/10.1109/ECCE50734.2022.9947595
Chawda, G. S., Shaik, A. G., Shaik, M., Padmanaban, S., Holm-Nielsen, J. B., Mahela, O. P., & Kaliannan, P. (2020). Comprehensive Review on Detection and Classification of Power Quality Disturbances in Utility Grid With Renewable Energy Penetration. IEEE Access, 8, 146807–146830. https://doi.org/10.1109/ACCESS.2020.3014732
Fadli, R. N., Solichan, A., & Muntasiroh, L. (n.d.). Analisis Kualitas Daya Listrik Pada Transformator Distribusi 2.000 KVA Trafoindo Prima Perkasa Universitas Muhammadiyah Semarang.
Jiekang, W., Zhijiang, W., Xiaoming, M., Fan, W., Huiling, T., & Lingming, C. (2020). Risk early warning method for distribution system with sources-networks-loads-vehicles based on fuzzy C-mean clustering. Electric Power Systems Research, 180, 106059. https://doi.org/10.1016/j.epsr.2019.106059
Khalghani, S., Aarniovuori, L., & Pyrhönen, J. (2022). Evaluation of 5 kW Converter-Fed Induction Motor Losses by Analytical Calculation. 2022 29th International Workshop on Electric Drives: Advances in Power Electronics for Electric Drives (IWED), 1–6. https://doi.org/10.1109/IWED54598.2022.9722576
Kisworo, D., Utomo, A. P., Saputra, Y. A., & Stefanie, A. (n.d.). ANALISIS RUGI-RUGI DAYA PADA PENYULANG SUKAMULYA DI PT PLN (PERSERO) UP3 PURWAKARTA DENGAN MENGGUNAKAN SOFTWARE ETAP. 7(1).
Musthopa, Harsanto, B., & Yunani, A. (2023). Electric power distribution maintenance model for industrial customers: Total productive maintenance (TPM), reliability-centered maintenance (RCM), and four-discipline execution (4DX) approach. Energy Reports, 10, 3186–3196. https://doi.org/10.1016/j.egyr.2023.09.129
Ogundola, I. P., & Boyejo, A. D. (2024). Power Distribution Network and Production Chain Analysis in an Industrial Company. International Journal of Energy and Environmental Research, 12(2), 83–89. https://doi.org/10.37745/ijeer.13/vol12n28389
Paci, A., Bualoti, R., & Çelo, M. (2021). Evaluation of Distribution System Reliability Indices Using Fuzzy Reasoning Approach. European Journal of Electrical Engineering and Computer Science, 5(3), 1–8. https://doi.org/10.24018/ejece.2021.5.3.264
Pérez-Briceño, C., Ponce, P., Mei, Q., & Fayek, A. R. (2025). A Type-2 Fuzzy Logic Expert System for AI Selection in Solar Photovoltaic Applications Based on Data and Literature-Driven Decision Framework. Processes, 13(5), 1524. https://doi.org/10.3390/pr13051524
Raza Abbasi, K., Hussain, K., Abbas, J., Fatai Adedoyin, F., Ahmed Shaikh, P., Yousaf, H., Muhammad, F., (2021). Analyzing the role of industrial sector’s electricity consumption, prices, and GDP: A modified empirical evidence from Pakistan. AIMS Energy, 9(1), 29–49. https://doi.org/10.3934/energy.2021003
Remigio-Carmona, P., González-de-la-Rosa, J.-J., Florencias-Oliveros, O., Sierra-Fernández, J.-M., Fernández-Morales, J., Espinosa-Gavira, M.-J., Agüera-Pérez, A., & Palomares-Salas, J.-C. (2022). Current Status and Future Trends of Power Quality Analysis. Energies, 15(7), 2328. https://doi.org/10.3390/en15072328
Saleem, A., Ilkhombek Khosiljonovich, K., Mashkhurakhon Mutalibjon Qizi, K., Sokhib, K., MirzohidShakhobiddin Ugli, S., & Sokhibjon Obidovich, S. (2023). Estimation of powerquality in distribution system using fuzzy logic theory. Indonesian Journal of Electrical Engineering and Computer Science, 32(3), 1236. https://doi.org/10.11591/ijeecs.v32.i3.pp1236-1245
Seppälä, J., & Järventausta, P. (2024). Analyzing Supply Reliability Incentive in Pricing Regulation of Electricity Distribution Operators. Energies, 17(6), 1451. https://doi.org/10.3390/en17061451
Skoczko, I. (2025). Energy Efficiency Analysis of Water Treatment Plants: Current Status and Future Trends. Energies, 18(5), 1086. https://doi.org/10.3390/en18051086
Wengerkievicz, C. A. C., Batistela, N. J., Sadowski, N., Huguet, T., & Lefèvre, Y. (2022). Experimental Loss Segregation in a Solid Rotor Induction Motor. Journal of Microwaves, Optoelectronics and Electromagnetic Applications, 21(4), 584–597. https://doi.org/10.1590/2179-10742022v21i4268098
Wu, H., & Xu, Z. (2020). Fuzzy Logic in Decision Support: Methods, Applications and Future Trends. INTERNATIONAL JOURNAL OF COMPUTERS COMMUNICATIONS & CONTROL, 16(1). https://doi.org/10.15837/ijccc.2021.1.4044
Downloads
Published
Issue
Section
License
Copyright (c) 2026 Syam Abiansyah Pradana Sakti, Joko Joko, Tri Rijanto, Endryansyah Endryansyah (Author)
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
