scholarly journals ANALISIS BEBAN TAKSEIMBANG TERHADAP RUGI-RUGI DAYA DAN EFISIENSI TRANSFORMATOR KL0005 JARINGAN DISTRIBUSI SEKUNDER PADA PENYULANG KLUNGKUNG

2018 ◽  
Vol 5 (2) ◽  
pp. 310
Author(s):  
I Putu Gede Kartika ◽  
I Ketut Wijaya ◽  
I Made Mataram
Keyword(s):  
Power Loss ◽  
Low Voltage ◽  
Voltage Drop ◽  
Distribution Network ◽  
Power Losses ◽  
Network Systems ◽  
Loss Analysis ◽  
Load Imbalance ◽  
Unbalanced Load ◽  
Secondary Distribution

Load imbalance will always occur in low voltage network systems (JTR), this is due to the uneven use of one phase load on customers coming from household elektrical appliances. The uneven use of loads will cause power losses in the network and drop in voltage. Load equalization on the network is one way to reduce power losses and voltage drop. This research was conducted by analyzing power losses and unbalanced load voltage drop and balanced load on the KL0005 transformer secondary distribution network on the Klungkung Feeder. Based on the result of the analysis, the power losses in the unbalanced load state obtained a result of 3.029 kW and the voltage drop in phase R was 6,1%, phase S was 3,5% and phase T was 0%, while the result of the power loss analysis balanced load obtained 2,9 kW and voltage drop in phase R is 2,6%, phasa S is 1,3% and phase T is 3% with difference in balanced load efficiency and unbalance load of 0,1%.

scholarly journals Studi Analisis Perbandingan Rugi Daya Pada Titik Sambung Pierching Connector Dengan Line Tap Connector Pada Jaringan Tegangan Rendah

2018 ◽  
Vol 3 (1) ◽  
pp. 24
Author(s):  
Ahmad Syaifuddin F ◽  
Arief Budi Laksono ◽  
Suharijanto Suharijanto
Keyword(s):  
Power System ◽  
Distribution System ◽  
Power Loss ◽  
Low Voltage ◽  
Voltage Drop ◽  
Distribution Network ◽  
Distribution Networks ◽  
Channel Network ◽  
Medium Voltage ◽  
Secondary Distribution

Distribution system is divided into primary and secondary distribution networks. The primary distribution network is the network of the substation to the distribution, while the secondary distribution is the channel network from the substation transformer is distributed to the consumer or the load. Primary distribution network is better known as medium voltage network (JTM 20kV) while secondary distribution is low voltage network (JTR 220 / 380V). The distribution network is part of the power system closest to the customer or the load compared to the transmission network.At this time PT. PLN (Persero) experiencing power loss that occurs at the point of connection of low voltage on the use of pierching connector. This study is to analyze the calculation of loss of  power at low voltage network (JTR) by doing comparison of measurement between input with output at connection point of pierching connector with line tap connector. For  conditions required evaluation and analysis for replanning that takes into account the planning criteria such as voltage  drop and take into account the loss of power.

scholarly journals ANALISIS KETIDAKSEIMBANGAN BEBAN PADA GARDU DISTRIBUSI KA 2085 DI PT. PLN (Persero) DISTRIBUSI BALI RAYON MENGWI BADUNG

2018 ◽  
Vol 5 (1) ◽  
pp. 62
Author(s):  
R. Suputra ◽  
A. I. Weking ◽  
W. Rinas
Keyword(s):  
Power Distribution ◽  
Distribution Network ◽  
Peak Load ◽  
Power Losses ◽  
Power Distribution Network ◽  
Percentage Loss ◽  
Unbalanced Load ◽  
Secondary Distribution ◽  
The Difference ◽  
Load Peak

The difference in the value of the current flowing in each phase conductor in a power distribution network, causes an unbalanced state. The unbalanced state of a power grid will result in an increase in power losses. This study is conducted by analyzing balanced state power losses and unbalanced state under peak load conditions at JTR and SR of K8585 distribution relay, unbalance burden on secondary distribution network KA 2085 has resulted in the loss of load-balanced power of peak load time of 0.104 kW with a loss-loss prosenase of 0.33%. While the losses for unbalanced load peak load time of 0.211 kW with a percentage loss of 0.69%.

scholarly journals OPTIMASI PENEMPATAN KAPASITOR BANK UNTUK PERBAIKAN RUGI DAYA PADA PENYULANG SABA MENGGUNAKAN ALGORITMA GENETIKA

2019 ◽  
Vol 6 (2) ◽  
pp. 7
Author(s):  
I. K. A. Wijaya ◽  
R. S. Hartati ◽  
I W. Sukerayasa
Keyword(s):  
Genetic Algorithms ◽  
Power Loss ◽  
Voltage Drop ◽  
Electrical Energy ◽  
Total Power ◽  
Network Reconfiguration ◽  
Power Losses ◽  
Combined Method ◽  
Capacitor Banks ◽  
Distribution Transformers

Saba feeder is a feeder who supplies 78 distribution transformers with feeder length 38,959 kms, through this Saba feeder electrical energy is channeled radially to each distribution substation. In 2017 the voltage shrinkage at Saba feeder was 9.88% (18,024 kV) while the total power loss was 445.5 kW. In this study an attempt was made to overcome the voltage losses and power losses using the method of optimizing bank capacitors with genetic algorithms and network reconfiguration. The best solution obtained from this study will be selected for repair of voltage losses and power losses in Saba feeders. The results showed that by optimizing bank capacitors using genetic algorithms, the placement of capacitor banks was placed on bus 23 (the channel leading to the BB0024 transformer) and successfully reduced the power loss to 331.7 kW. The network reconfiguration succeeded in fixing the voltage on the Saba feeder with a voltage drop of 4.75% and a total power loss of 182.7 kW. With the combined method, reconfiguration and optimization of bank capacitors with genetic algorithms were obtained on bus 27 (channel to transformer BB0047) and managed to reduce power losses to 143 kW.

Features of Application of the «Open Triangle» Scheme in the Rural Low-Voltage Structure Distribution Network

2020 ◽  
Vol 63 (5) ◽  
pp. 72-78
Author(s):  
Ivan Nadtoka ◽  
◽  
Pyotr Osadchiy ◽  
Vladimir Tropin ◽  
◽  
...  
Keyword(s):  
Energy Efficiency ◽  
Reactive Power ◽  
Low Voltage ◽  
Distribution Network ◽  
Practical Case ◽  
Power Losses ◽  
Voltage Distribution ◽  
Inductive Load ◽  
Active Load ◽  
Open Triangle

The features of applying the «open triangle» scheme in the structure of a rural low-voltage distribution network with a voltage of 220 V are studied from the standpoint of achieving a certain energy efficiency. The energy effect is estimated by the criterion of the relative value of the additional power losses in the conductors of a three-wire line of a 220 V network caused by reactive power and load asymmetry. The load is modeled by two power receivers connected to the phase-to-phase voltage, the general output of the power receivers is grounded, which forms the «open triangle» circuit. The energy characteristics of the active load, active load with capacitive corrective element, active load with capacitive and inductive corrective elements are analyzed; and also the most practical case – active-inductive load with various values of reactive power factors -0,1; 0,2; 0,3 and capacitive corrective element. An important feature of applying the «open triangle» scheme in the structure of a rural low-voltage distribution network with a voltage of 220 V, from the standpoint of achieving practically necessary and sufficient energy efficiency - not exceeding 10 % of the additional power losses, is the ability to compensate for reactive power and balancing the phase currents of the network line using only one corrective capacitor of relatively low power - about 50 % of the active power of one power receiver.

scholarly journals ANALISIS RUGI DAYA DAN REKONSILIASI ENERGI JARINGAN DISTRIBUSI TEGANGAN MENENGAH 20 KV PADA PENYULANG NIJANG

2020 ◽  
Vol 4 (3) ◽  
pp. 34-40
Author(s):  
Ahmad Jaya ◽  
Wirentake
Keyword(s):  
Process Simulation ◽  
Power Loss ◽  
Research Method ◽  
Quantitative Research ◽  
Distribution Network ◽  
Power Losses ◽  
Voltage Distribution ◽  
Medium Voltage ◽  
Simulation Process ◽  
Reconciliation Process

This study aims to determine the loss / power loss in the nijang feeder through the energy reconciliation process, simulation of the ETAP 12.6 program, and manual calculations. The benefits of this research can be used as a basis for consideration of the improvement efforts that should be carried out to minimize power losses in the medium voltage distribution network of Nijang feeders. The method used is quantitative research method because it takes data from the measurement of the transaction point which is then compared with the results in the simulation program ETAP 12.6 and manual calculations. The results showed that the power loss (kWh) resulted from 3 processes showed that the energy reconciliation process resulted in a greater power loss, namely 10,657 kWh, the ETAP 12.6 simulation resulted in a power loss of 3049 kWh and in manual calculations it resulted in losses. power of 4199 kWh, from the results of the research it can be seen that in the simulation process ETAP 12.6 and manual calculations only calculate power losses due to technical causes, while the energy reconciliation process includes technical and non-technical causes. It is hoped that this research can support efforts to improve power losses / losses in the PT PLN (Persero) UP3 Sumbawa environment.

Voltage Drop Mitigation in Smart Distribution Network

2020 ◽  
pp. 64-77
Author(s):  
Fsaha Mebrahtu
Keyword(s):  
Low Voltage ◽  
Voltage Drop ◽  
Distribution Network ◽  
Economic Damage ◽  
Dynamic Voltage Restorer ◽  
Voltage Dip ◽  
Voltage Restorer ◽  
Clearing Time ◽  
Dynamic Voltage ◽  
Smart Distribution Network

Voltage dip in the distribution network is caused by disturbance at different voltage levels and experienced by low voltage customers are established. Voltage dips are those disturbances which damage the power quality of the distribution network and causing heavy economic damage to the customers. This chapter investigates procedures of mitigating the voltage dip by reducing the number of faults due to short circuits, lowering the fault clearing time, and changing the power system design and DSTATCOM Compensator with DG and dynamic voltage restorer.

scholarly journals Analysis of Power Loss of 20 kV Power Distribution

2018 ◽  
Vol 215 ◽  
pp. 01040
Author(s):  
Dasman Dasman
Keyword(s):  
Power Distribution ◽  
Distribution System ◽  
Power Loss ◽  
Reactive Power ◽  
Voltage Drop ◽  
Action Plan ◽  
Active Power ◽  
Power Losses ◽  
Power Distribution System ◽  
Distribution Line

In the distribution of electrical energy from the plant to the consumer, there is a decrease in quality due to the loss of power (losses). These power losses are caused by a voltage drop across the line and subsequently producing a power loss on the line. This power loss can be classified into two types based on its line parameters, i.e., active power loss and reactive power loss. The line’s active power loss generates losses of power/losses so that the active power reaches the load on the receiving end is always less than the productive power of the sender side. Power losses in the electrical system must exist and cannot be reduced to 0% (zero percent). According to SPLN No. 72 of 1987, the permitted distribution network’s power loss should not be higher than 10%. This paper investigates the magnitude of the voltage loss and the line active power losses on the 20 kV distribution line. The calculation conducted through case study and simulation of Etap 12.6 program on an electrical power distribution system that is 20 kV distribution line in PT. PLN (Persero) Rayon Muara Labuh. In the distribution line 20 kV, there is IPP (Independent Power Plant) PLTMH PT SKE used to improve the stress conditions in Rayon Muara Labuh. Therefore the loss of power will be calculated in 3 terms, i.e., before and after IPP PT. SKE with 20 kV distribution lines as well as on feeder load maintenance (as a repair action plan). The simulation results show the highest voltage drop and the highest power losses continue generated during IPP. PT SKE has not done synchronized with the distribution line of 20 kV with a significant voltage drop of 1,533 kV percentage of 7.93% and power loss of 777.528 kWh percentage of 7.69%.

scholarly journals PEMERATAAN BEBAN PADA GARDU KD 056 PENYULANG TABANAN PT PLN (PERSERO) DISTRIBUSI BALI AREA BALI SELATAN

2018 ◽  
Vol 5 (1) ◽  
pp. 82
Author(s):  
I Putu Agus Semara Putra ◽  
I Ketut Wijaya ◽  
I Made Mataram
Keyword(s):  
Load Balancing ◽  
Power Distribution ◽  
Distribution System ◽  
Low Voltage ◽  
Voltage Drop ◽  
Peak Load ◽  
Simulation Software ◽  
Neutral Currents ◽  
Power Distribution System ◽  
Load Imbalance

Load balancing is a routine done by PLN to manage a distribution substation. It is done on Peak Load Time (WBP) only. Initial load measurements and load data on a distribution transformer need to be done for balancing as input of simulation software. The load imbalance in a power distribution system is due to an imbalance in single phase loads in the R, S and T phases in low voltage networks due to the imbalance of the load the current in the neutral transformer arises. The current flowing in the neutral of the transformer causes losses, i.e. losses due to neutral currents in the neutral conductor of transformers and losses due to neutral currents flowing to the ground. In this research load equalization in substation KD 056 was done by making a simulation on the ETAP program by measuring the value of the voltage on the KD 056 substation. The result of load balancing in KD 056 substation with the simulation ETAP program i.e. the voltage drop obtained from the percentage of KD 056 substation after being balanced by voltage drop on phase R which decreased from 7.30% to 1.36% from the 219VA source voltage. Once the KD 056 substation is balanced, it can lower the voltage drop and power losses, thus the system voltage meets the standards of PLN.

A novel transient search optimization for optimal allocation of multiple distributed generator in the radial electrical distribution network

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Jitendra Singh Bhadoriya ◽  
Atma Ram Gupta
Keyword(s):  
Power Loss ◽  
Distribution Systems ◽  
Distribution Network ◽  
Active Power ◽  
Optimization Techniques ◽  
Power Losses ◽  
Multi Objective ◽  
Electrical Distribution ◽  
Search Optimization ◽  
Electrical Distribution Network

Abstract Most of the generated electricity is lost in power loss while transmitting and distributing it to the consumer end. The power losses occurring in the distribution network cause deviation in voltage and lower stability due to increased load demand. The integration of multiple Distributed Generation (DG) will enable the existing radial electrical distribution network efficient by minimizing the power losses and improving the voltage profile. Metaheuristic optimization techniques provide a favorable solution for optimal location and sizing of DG in the distribution network. A novel modern metaheuristic Transient Search Optimization (TSO) algorithm, inspired by the electrical network’s transient response of storage components implemented in the proposed work. The TSO formulated optimal DGs allocation to minimize total active power loss, voltage deviation and enhance voltage stability index as minimization optimization problem satisfying various equality and inequality constraints. The installation of multiple DG units at unity, fixed, and optimal power factors were examined. The TSO algorithm’s effectiveness was tested on standard IEEE 33-bus and 69-bus radial distribution networks, including various operating events developed in the form of single and multi-objective fitness functions. The active power loss reduced to 94.29 and 94.71% for IEEE 33 and 69 bus distribution systems. The obtained results trustworthiness is confirmed by comparison with well-known optimization methods like Genetic Algorithm (GA), Particle Swarm Optimization (PSO), combined GA/PSO, Teaching Learning Based Algorithm (TLBO), Swine influenza model-based optimization with quarantine (SIMBO-Q), Multi-Objective Harris Hawks optimizer (MOHHO) and other provided in the literature. The presented numerical studies represent the usefulness and out-performance of the proposed TSO algorithm due to its exploration and exploitation optimization mechanisms for the DG allocation problem meticulously.

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