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%.

A Stochastic Model Based on Markov Chain to Support Vehicle-to-Grid (V2G) Operation in Smart Distribution Network

2019 ◽  
Vol 20 (3) ◽  
Author(s):  
Santoshkumar Hampannavar ◽  
Udaykumar R. Yaragatti ◽  
Suresh Chavhan
Keyword(s):  
Power Distribution ◽  
Distribution Systems ◽  
Distribution Network ◽  
Optimal Placement ◽  
Voltage Profile ◽  
Power Losses ◽  
Power Distribution Network ◽  
Vehicle To Grid ◽  
Communication Framework ◽  
Smart Distribution Network

Abstract In this paper a multiagent based communication framework for gridable electric vehicle (GEV) aggregation in power distribution network is proposed. Also, multi objective optimization is presented for the minimization of power losses and maximization of voltage. Furthermore multiagent system (MAS) based analytical model is proposed for GEV aggregation. Comprehensive case studies are conducted on IEEE 33 and 69 bus test distribution systems using MATLAB and it is observed that the timely and optimal placement of GEV aggregation in distribution network using multiagent communication (MAC) will lead to reduction in power losses and improvement in voltage profile. MATLAB and MOBILE C were used for the simulation studies and results demonstrate significant benefits of GEV aggregation in distribution network.

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 OPTIMASI REKONFIGURASI JARINGAN DISTRIBUSI RADIAL UNTUK MEMINIMALKAN RUGI JARINGAN MENGGUNAKAN METODE SIMPLE BRANCH EXCHANGE

2019 ◽  
Vol 10 (2) ◽  
pp. 102-111
Author(s):  
Yoakim Simamora ◽  
Sigit Sukmajati ◽  
Rio Afrianda
Keyword(s):  
Radial Distribution ◽  
Power Distribution ◽  
Distribution Network ◽  
Distribution Networks ◽  
Network Reconfiguration ◽  
Power Losses ◽  
Power Distribution Network ◽  
Exchange Method ◽  
Network Quality ◽  
Simulation Results

The increasing electric energy consumption must be balanced with good electricity network quality. To overcome this, we need a distribution network reconfiguration. Reconfiguration in power distribution network is done to improve power distribution network quality. Problem that exist in the radial distribution network is power losses. To minimize the power losses can be overcome by compensating capacitor. Done by determining the location of capacitors in distribution networks. With that the capacitor compensates the distribution network is more effective and efficient in distributing power. In this research discusses the network reconfiguration using simple branch exchange method to reduce power losses in radial distribution networks . Plant that used in this final project is IEEE 33 bus feeders. Simple branch exchange method is a kind of heuristic method . It works by selecting the order of the loop is done for distribution networks reconfiguration. Simulation results show that the use of a simple branch exchange method for reconfiguring network can reduce energy loss by 63,4677 kW. From the simulation results using the distribution system IEEE 33 bus feeders, showed that the decrease of energy losses from 202,6845 kW become 139,2168 kW.

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