Analisa Keandalan Sistem Distribusi 20kv di PT. PLN (Persero) Rayon Kudus Kota Menggunakan Metode Section Technique

2020 ◽  
Vol 11 (2) ◽  
pp. 56-63
Author(s):  
Mohammad Rexy Hanif ◽  
Titiek Suheta
Keyword(s):  
Human Factors ◽  
Distribution System ◽  
Reliability Index ◽  
Reliability Evaluation ◽  
External Disturbances ◽  
Section Technique ◽  
Calculation Results ◽  
Time Required

This study was made with the aim of calculating the reliability index of the 20 kV distribution system in APJ Kudus on KDS2 feeders, with a network length of 21.267 km and 5207 subscribers. Using the section technique method, which is a method that performs reliability evaluation by breaking the system into smaller parts, so that the possibility of errors can be minimized, and the time required is shorter. The calculation results show that the SAIFI value is 4.2705 times / year and the SAIDI value is 6.81167 hours / year. The SAIFI value is not in accordance with the SPLN standard which is 3.2 times / year, this is due to too long air ducts, external disturbances (rain, lightning, wind), and internal disturbances (human factors of equipment). However, the SAIDI value is in accordance with the SPLN standard, namely 21 hours / year

scholarly journals Reliability Evaluation of Kumpai Feeder Distribution System at PT. PLN (Persero) ULP Siantan

ELKHA ◽  
2021 ◽  
Vol 13 (2) ◽  
pp. 141
Author(s):  
Ari Kurniawan Kurniawan ◽  
Fitriah Fitriah ◽  
M. Iqbal Arsyad
Keyword(s):  
Distribution System ◽  
Reliability Index ◽  
Reliability Evaluation ◽  
Factors Affecting ◽  
Reliability Level ◽  
Calculation Results ◽  
Standard Set ◽  
One Year ◽  
Index Value ◽  
Number Of Customers

The research on reliability index of a feeder aims to evaluate the reliability level of a feeder using the Reliability Index Assessment (RIA) method. This method evaluates the reliability of a 20 kV distribution network by calculating the reliability indexes of each load point. The evaluation results show the reliability index value per section of the Kumpai Feeder at PT. PLN (Persero) ULP Siantan within one year. The SAIFI values are 0.0092; 0.0012; 12,477; 0.0596; 0.0204; 0.0470; 0.0155; 0.0728, the SAIDI values are 0.0277; 0.0042; 37,746; 0.1862; 0.0741; 0.1524; 0.0493; 0.2209, the CAIDI values are 3.0108; 3.5; 3,025; 3.1241; 3.6323; 3.2425; 3.1806; 3.0343, the MAIFI values are 0; 5,480; 0.2145; 0.0020; 0.0038; 0.0042; 0.0006; 0.0014. The calculation results show that the 20 kV distribution system at PT. PLN (Persero) ULP Siantan at the Kumpai Feeder can be categorized as unreliable. Because the SAIFI value of this feeder exceeds the standard set by PT. PLN (Persero) which are 12.477 times/customer/year and 3.2 times/customer/year, respectively. The factors affecting the reliability index of the Kumpai feeder are the number and duration of blackouts, the number of customers, and the length of the distribution system channel.

scholarly journals Valuation of Reliability Index in Distribution Network 13.8 kV

2020 ◽  
Vol 3 (1) ◽  
Author(s):  
F. Yaser ◽  
Azriyenni Azhari Zakri ◽  
D. Y. Sukma
Keyword(s):  
Distribution System ◽  
Reliability Index ◽  
Distribution Network ◽  
Calculation Results ◽  
Ieee Standard ◽  
Comparison Of The Results

This study is proposed to calculate and analyze the level of reliability of the 13.8 kV distribution system. To calculate the reliability index based on the reliability index of the value of the failure that occurred. The method used throughout this study is the Reliability Index Assessment (RIA) when this method takes into account momentary interruption. The distribution network is considered as the object of this study has six feeders. Based on blackout data obtained, the reliability index becomes smaller and can be distinguished between permanent and temporary disruptions. The calculation results show the reliability index of SAIDI, SAIDI, and MAIFI based on the type of disturbance; the results of this calculation will be compared with SPLN and IEEE. A comparison of the results of the calculation of SAIFI values from the six feeders analyzed all meet the SPLN and IEEE rules. However, in one of the feeders, the SAIDI index exceeds the established standard, which is 24 hours/year/customer, with the SPLN regulation being 21 hours/year/customer, and the IEEE standard is 2.3 hours/customer/year. And finally, the results of an analysis of the MAIFI index for all feeders meet the IEEE standard of 5 times/year/customers.

scholarly journals Studi Perhitungan Indeks Keandalan Sistem Tenaga Listrik Menggunakan Graphical User Interface Matlab pada PT PLN (Persero) Rayon Kota Pinang

2019 ◽  
Vol 11 (2) ◽  
pp. 138-148
Author(s):  
Adri Senen ◽  
Titi Ratnasari ◽  
Dwi Anggaini
Keyword(s):  
User Interface ◽  
Power System ◽  
Graphical User Interface ◽  
System Reliability ◽  
Distribution System ◽  
Reliability Index ◽  
Electrical Power ◽  
Electricity Supply ◽  
Electrical Power System ◽  
Calculation Results

The level of reliability of a distribution system is very important to ensure the continuity of electricity supply to consumers. This research was conducted to calculate the Saidi reliability index and the Saifi 20 kV distribution system in Pinang PLN in 2017 with the help of the Matlab R2008a application. A GUI is one of the Matlab programs that is widely used in describing information and commands, and its users are possible to form and format themselves according to the needs of the system itself. With the help of this software, it is hoped that it will be easier to calculate the system reliability index, namely the calculation of SAIDI and SAIFI, then the results can be made so that the database is more organized. The calculation results obtained will show the highest and lowest SAIDI and SAIFI values ​​that occur in each of the current months, making it easier to evaluate, analyze and improve the reliability of the electrical power system network in the future, especially in PT.

Reliability Evaluation of Planning Distribution Network

2011 ◽  
Vol 361-363 ◽  
pp. 1524-1528
Author(s):  
Zi Long Huang ◽  
Lin Guan
Keyword(s):  
Reliability Index ◽  
Large Scale ◽  
Distribution Network ◽  
Reliability Evaluation ◽  
Actual Case ◽  
Alternative Path ◽  
Distribution Transformers ◽  
Calculation Results ◽  
Equipment Failures

To make the reliability evaluation suitable for the planning distribution network,which contain the large-scale existing network and the uncertain planning part,proposes an algorithm based on the idea of section and enumeration method. This algorithm fully considers how the breakers, lines, switches, distribution transformers and other equipment failures impact the reliability index of distribution network .The effects of both the alternative path and the refusing of fuses are considered in the proposed algorithm. The calculation results of actual case show that the proposed method is effective.

Research on Reliability Evaluation Methods of Distribution System

2014 ◽  
Vol 672-674 ◽  
pp. 1441-1446 ◽  
Author(s):  
Yu Qiang Ou ◽  
Le Feng Cheng ◽  
Jian Zhong Wen ◽  
Xuan Yu Qiu ◽  
Tao Yu
Keyword(s):  
Distribution System ◽  
Evaluation Method ◽  
Network Reliability ◽  
Distribution Network ◽  
Reliability Evaluation ◽  
Evaluation Indexes ◽  
Specific Distribution ◽  
And Function ◽  
Meaning And Function

Research on reliability of distribution network has very important meaning and function to ensure the quality of power supply. This paper introduces some basic concepts of reliability in distribution network, including distribution network reliability definition, task and index. The classical reliability evaluation method was reviewed, and focused on specific distribution network, an example analysis was given, and specific reliability evaluation indexes were calculated. Finally, the future development of distribution network reliability evaluation was made a simple prospect.

Fault Incidence Matrix Based Reliability Evaluation Method for Complex Distribution System

2018 ◽  
Vol 33 (6) ◽  
pp. 6736-6745 ◽  
Author(s):  
Chengshan Wang ◽  
Tianyu Zhang ◽  
Fengzhang Luo ◽  
Peng Li ◽  
Liangzhong Yao
Keyword(s):  
Distribution System ◽  
Incidence Matrix ◽  
Evaluation Method ◽  
Reliability Evaluation ◽  
Complex Distribution
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