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Analysis of the Influence of Load Unbalance on the Neutral Current Power Loss in Substation KP10 PT. PLN (Persero) UP3 Teluk Naga Listiawati, Dwi; Pawenary; Apsari Nita Andini
International Journal of Advanced Multidisciplinary Vol. 2 No. 3 (2023): International Journal of Advanced Multidisciplinary (October - December 2023)
Publisher : Green Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/ijam.v2i3.354

Abstract

The research objective is to analyze the percentage value of load unbalance before and after load balancing and the effect on neutral current losses. The load imbalance that occurs at the KP10 substation is simulated through the ETAP 16.0.0 software. Based on the research results, it was found that there was an imbalance in the load of the KP10 substation in direction B, which experienced the greatest load imbalance with a percentage of 38.76% and in direction A, which experienced a load imbalance of 19.6%. Based on SPLN No. 017 of 2014, the percentage of load imbalance exceeding 25% must be repaired. So that the repair is carried out by equalizing the load by breaking the load from direction B to direction A. After the activity of equalizing the load distribution, a decrease in the percentage of load imbalance is obtained. Majoring A is 8.9% and majoring B is 12,6%. The existence of this load imbalance also causes losses due to neutral currents where before the equalization activities the neutral current losses amounted to 6.99% and after the equalization of 1.06%. A simulation was also carried out where the load imbalance simulation results were obtained with the measurement results having results that were not much different.
IoT-Based a Control System for Household Waste Management Machines at Waste Disposal Sites using Human Machine Interface method Pawenary; Hendri; Dwi Listiawati; Andi Dyah Harum Hardyanti; Yessy Asri
Lontar Komputer : Jurnal Ilmiah Teknologi Informasi Vol. 15 No. 03 (2024): Vol. 15, No. 03 December (2024)
Publisher : Institute for Research and Community Services, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/LKJITI.2024.v15.i03.p02

Abstract

To manage waste efficiently and sustainably , Integrating Algoritma Bellman-Ford in IoT-Based Control Systems for Household Waste Management Machines, the use of automation technologies based on the Internet of Things (IoT) is becoming increasingly relevant. The integration of HMI allows operators to manage and control the machine with precision and convenience. The synergy between IoT and HMI promises significant improvements in waste processing speed, accuracy, and safety. Developing a control system using the HMI method is not just a solution but an innovative approach that aims to find an effective solution in managing or destroying waste that requires less labor, so there is no need to increase assistance. The method that will be used in this research is the descriptive statistical method, namely, assessing the technical data needed to develop a control system that complies with the standard. This innovative approach is one of the solutions to the problem of labor shortages in landfills that simplify work and speed up the process of operating machines.