Low Voltage Network Reconfiguration at PLN ULP Rungkut as Load Optimization using the Ant Colony Optimization Method

riny sulistyowati, Pujianto -

Abstract

PLN (Persero) Ltd. Rungkut Customer Service Unit - The high load density and the length of the mangrove feeders, which are quite long, have caused several buses toward the end of the network to experience a voltage drop of 0.9421208 p.u. Therefore, it is necessary to reconfigure the network to overcome and improve the existing voltage conditions as well as optimize the loading on the feeders so that they can be evenly distributed. A comparative evaluation of the calculation of the ant chromosomes used is needed to ensure the disconnection point in reconfiguring the network. An ant colony optimization analysis on this mangrove feeder was simulated using ETAP software. The results of this drop voltage improvement analysis could be used to reconfigure the low-voltage network of mangrove feeders to 0.9933478 p.u. Consequently, it could be precise, reliable, and good at PLN Ltd. ULP Rungkut and obtain load optimization on mangrove feeders.

Keywords

drop voltage; reconfiguration; existing; ant colony optimization; ETAP.

Full Text:

PDF

References

K. Gokbayrak and H. Avci, "A voltage drop limited decentralized electric power distribution network", Computers and Operations Research, vol. 118, no. 104907, pp. 1-18, 2020.

B. C. Neagu and G. Grigoras, "Optimal Voltage Control in Power Distribution Networks Using an Adaptive On-Load Tap Changer Transformers Techniques", International Conference on Electromechanical and Energy Systems (SIELMEN), pp. 1-6, 2019.

C. Oh, S. Go, J. Choi, S. Ahn and S. Yun, "Voltage Estimation Method for Power Distribution Networks Using High-Precision Measurements", Energies, vol. 13, no. 9, pp. 1-23, 2020.

S. B Masikana, G. Sharma, K. Akindeji and I. E. David, "Voltage Stability Enhancement Studies for Distribution Network with Installation of FACTS", International Conference on Artificial Intelligence Big Data Computing and Data Communication Systems (icABCD), pp. 1-6, 2020..

Riny Sulistyowati, Rony Seto Wibowo, Dedet Candra, M Ashari, Power and voltage estimation of unobserved bus on distribution network using anfis algorithm with the modified pso-ga hybrid, IREE 2020.

Riny Sulistyowati, HA Sujono, Y Cipta, Optimization Of Distributed Generation Placement Using Particle Swarm Optimization Method At Sampang Feeder, Przglad Elektrotechnizny ,2022.

Manusov. V.. Matrenin. P.. Kokin. S.. “Swarm intelligence algorithms for the problem of the optimal placement and operation control of reactive power sources into power grids”. International Journal of Design & Nature and Ecodynamics. 12 (2017). No. 1. 101-112. doi: 10.1109/EPE.2017.7967231

Advance in Electronic and Electric Engineering 4: 87 – 94.

. M Pau, P A Poegoraro and S Sulis , Branch current state estimator for distribution system based on synchronized measurements. Proc. IEEE Int. Workshop AMPS: 53-58, 2012.

. M Pau, P A Poegoraro and S Sulis Efficient Branch Current-Based Distribution System State Estimation Including Synchronized Measurements. IEEE Transactions on Intrumentation and Measurement 62, 2013.

. M Pau, P A Poegoraro and S Sulis WLS , Distribution System State Estimator Based on Voltage or Branch-currents: Accuracy and Perfomance Comparison. IEEE Conference Publications, 2013.

. Roy B S, Sinha A and Pradhan A , An optimal PMU placement technique for power system observability. International Journal of Electrical Power & Energy Systems 42: 71–77, 2013.

Riny Sulistyowati, RS Wibowo, DC Riawan, M Ashari, Optimum placement of measurement devices on distribution networks using integer linear k-means clustering method, 2020.

Miftah Y Fauzan, Syed Islam, SM Muyeen, Asepta S Wardhana, Mochamad Ashari, Experimental Modeling of Nano Power Generation using Thermoelectric Generator (TEG) from Incinerator Waste Heat, 2018.

Wasis Waskita Adi Pujianto, Zidny AIfyan Barik, Prototype Cooling System pada PLIS Berbasis ESP32 dengan Metode Moving Average Filters (MAF),2024.

Wu-Chang Wu, M. Tsai, Application of Enhanced Integer Coded Particle Swarm Optimization for Distribution System Feeder Reconfiguration, 2011

H. Azadi, B. Akbari and M. S. Sepasian, "Power Quality Enhancement in Distribution Systems Using Feeder Reconfiguration," 2018 Smart Grid Conference (SGC), 2018, pp. 1-6, doi: 10.1109/SGC.2018.8777854.

E. Nazerian, S. Gharebaghi and A. Safdarian, "Optimal distribution network reconfiguration considering power quality issues," 2017 Smart Grid Conference (SGC), 2017, pp. 1-6, doi: 10.1109/SGC.2017.8308877.

A. M. Helmi, R. Carli, M. Dotoli and H. S. Ramadan, "Efficient and Sustainable Reconfiguration of Distribution Networks via Metaheuristic Optimization," in IEEE Transactions on Automation Science and Engineering, vol. 19, no. 1, pp. 82-98, Jan. 2022, doi: 10.1109/TASE.2021.30728

K. M. L. Prasanna, R. J. R. Kumar, A. Jain, and J. Somlal, “Optimal reconfiguration of radial distribution system having photovoltaic distributed generation with controlled voltage,” IEEE Int. Conf. Circuit, Power Comput. Technol. ICCPCT 2015, no. November 2017, 2015, doi: 10.1109/ICCPCT.2015.7159518

Muhira Dzar Faraby etal, Optimization of Network Reconfiguration in the ULP Way Halim Distribution System, Bandar Lampung City Considering the Use of Nonlinear Loads, 2023

DOI: https://doi.org/10.31284/j.jreec.2025.v5i2.8443