scholarly journals Interval Waktu Pemeliharaan Berdasarkan Reliability Centered Maintanance (RCM) Pada Kinerja Saluran Udara Tegangan Menengah (SUTM) Perusahaan Listrik Negara

2021 ◽  
Vol 5 (2) ◽  
pp. 110
Author(s):  
Very Fernando ◽  
Hernadewita Hernadewita ◽  
Humiras Hardi Purba
Keyword(s):  
Statistical Data ◽  
Predictive Maintenance ◽  
Time Intervals ◽  
Overhead Lines ◽  
Medium Voltage ◽  
Maintenance Schedule ◽  
Reliability Centered Maintenance ◽  
Maintenance Time ◽  
Data Statistics ◽  
Cable Lines

The State Electricity Company (PLN) serves all Indonesian people from Sabang to Merauke with overhead lines and cable lines. The frequency of blackouts in an area due to disturbances in the channel. PLN seeks to suppress disturbances by carrying out maintenance, namely turning it off or without being extinguished. Medium Voltage Air Lines (SUTM) are more frequent disturbances. The worst damage happened to the conductors, Jumpers, and insulators. Damage will often occur if it is not predictable. In order to find out when damage occurs, a method based on Predictive Maintenance is used, namely maintenance based on historical disturbance data statistics. Predictive Maintenance can be realized by using Reliability Centered Maintenance (RCM). From the results of RCM calculations and statistical data on one PLN unit, there is a new value for predictive maintenance time intervals, for conductors maintenance schedule must be carried out every 2 days, Jumpers every 12 days, and isolators every 16 days before serious damage occurs and widespread blackout Perusahaan Listrik Negara (PLN) melayani seluruh masyarakat Indonesia dari Sabang sampai Merauke dengan saluran udara dan saluran kabel. Frekuensi terjadi pemadaman pada suatu wilayah karena adanya gangguan pada saluran tersebut. PLN berupaya untuk menekan gangguan dengan melakukan pemeliharaan, yaitu dipadamkan atau tanpa dipadamkan. Saluran Udara Tegangan Menengah (SUTM) lebih sering terjadi gangguan. Kerusakan terparah ternyata terjadi pada konduktor, Jumper dan isolator. Kerusakan akan sering terjadi apabila tidak mampu diprediksi. Untuk dapat mengetahui kapan akan terjadi kerusakan digunakan metode berbasis Predictive Maintanance, yaitu pemeliharaan berdasarkan statistik data historis gangguan. Predictive Maintenance dapat terwujud dengan menggunakan  Relliability Centered Maintanance (RCM). Dari hasil perhitungan RCM dan data statsik pada salah satu unit PLN, maka terdapat nilai baru intuk interval waktu pemeliharaan secara predictive, untuk konduktor harus dilakukan penjadwalan pemeliharaan setiap 2 hari, Jumper setiap 12 hari, dan Isolator setiap 16 hari sebelum terjadi kerusakan yang parah dan pemadaman meluas.

scholarly journals Peningkatan Ketersediaan Waktu Operasi Pada Mesin Boiler Berdasarkan Down Time Dengan Pendekatan Metode Reliability Centered Maintenance (RCM) (Studi Kasus PT. Dian Swastika Sentosa, Tbk

2020 ◽  
Vol 18 (2) ◽  
pp. 189
Author(s):  
Ahmad Zubair Sultan ◽  
Muhammad Arsyad Suyuti ◽  
Tanhar Bin Naim ◽  
Arya A. Amiruddin
Keyword(s):  
System Reliability ◽  
Production Efficiency ◽  
Bottom Ash ◽  
Reliability Function ◽  
Distribution Data ◽  
Boiler Unit ◽  
Time Data ◽  
Time Intervals ◽  
Reliability Centered Maintenance ◽  
Maintenance Time

This study aims to (1) determine the subsystem or component that causes the main failure in boiler unit 2 and the effect on production efficiency. (2) Determine the maintenance interval at boiler unit 2 with the Reliability Centered Maintenance method. This research was conducted by processing downtime data from each sub-system or component, which was converted into time data between failures. Thus, testing of the distribution data is to determine the appropriate distribution. Based on the parameters obtained, it is used to determine the reliability function of each subsystem or component. Thus, the reliability value of each component over a certain period of time can be calculated. From the results of the research, the most damage has reliability including ballmill a (29.01%), ballmill b (37,250%), bottom ash a (41,604%), coal feeder a (35,282%), boiler (38,275%), hydraulic (20,236%), soot blower l3 (16,019%), coal feeder b (35,915%). So that reliability is focused on these components or subsystems. Then the maintenance time intervals are arranged as a group maintenance strategy to achieve the targeted system reliability.

New solutions in EDP Distribuicao medium voltage overhead lines

2009 ◽  
Author(s):  
A. Cardoso ◽  
J. Cardoso ◽  
J. Figueiredo ◽  
N. Mendes
Keyword(s):  
Overhead Lines ◽  
Medium Voltage

scholarly journals Photovoltaic Maximum Penetration Limits on Medium Voltage Overhead and Underground Cable Distribution Feeders: A Comparative Study

Energies ◽  
2021 ◽  
Vol 14 (13) ◽  
pp. 3843
Author(s):  
Sultan Sh. Alanzi ◽  
Rashad M. Kamel
Keyword(s):  
Power System ◽  
Power Factor ◽  
Distribution System ◽  
Power Flow ◽  
Underground Cables ◽  
Overhead Lines ◽  
Medium Voltage ◽  
Load Power ◽  
Bus Voltage ◽  
Pv Penetration

This paper investigates the maximum photovoltaic (PV) penetration limits on both overhead lines and underground cables medium voltage radial distribution system. The maximum PV penetration limit is estimated considering both bus voltage limit (1.05 p.u.) and feeder current ampacity (1 p.u.). All factors affect the max PV penetration limit are investigated in detail. Substation voltage, load percentage, load power factor, and power system frequency (50 Hz or 60 Hz) are analyzed. The maximum PV penetration limit associated with overhead lines is usually higher than the value associated with the underground cables for high substation voltage (substation voltage = 1.05 and 1.04 p.u.). The maximum PV penetration limit decreases dramatically with low load percentage for both feeder types but still the overhead lines accept PV plant higher than the underground cables. Conversely, the maximum PV penetration increases with load power factor decreasing and the overhead lines capability for hosting PV plant remains higher than the capability of the underground cables. This paper proved that the capability of the 60-Hz power system for hosting the PV plant is higher than the capability of 50 Hz power system. MATLAB software has been employed to obtain all results in this paper. The Newton-Raphson iterative method was the used method to solve the power flow of the investigated systems.

scholarly journals The Proposal of a New Tool for Condition Assessment of Medium Voltage Power Cable Lines

Energies ◽  
2021 ◽  
Vol 14 (14) ◽  
pp. 4116
Author(s):  
Krzysztof Siodla ◽  
Aleksandra Rakowska ◽  
Slawomir Noske
Keyword(s):  
Research Work ◽  
Technical Condition ◽  
Power Cable ◽  
Investment Planning ◽  
Medium Voltage ◽  
Cable Network ◽  
Rate Analysis ◽  
Cable Lines ◽  
The Individual ◽  
Service Data

A medium voltage (MV) cable network is a substantial component of the distribution network. Present management of this grid segment is mainly based on the failure rate analysis, i.e., a rise in the number and kind of faults on the actual line means that its technical condition is getting worse. The efficiency of the power system is low and additional costs of repair works, supply interruption, difficulties in the investment planning and operation and maintenance works are necessary. The aim of the R&D works done in the realised project is to implement the management of the MV cable network based on the estimated condition of the individual cable line, obtained from diagnostic measurements. The diagnostic investigations of the cable lines are the reference. Many years of research work have led to the development of the Health Index based on diagnostic, technical and service data.

scholarly journals Thermal Analysis of the Medium Voltage Cable

Energies ◽  
2021 ◽  
Vol 14 (14) ◽  
pp. 4164
Author(s):  
Tomasz Szczegielniak ◽  
Dariusz Kusiak ◽  
Paweł Jabłoński
Keyword(s):  
Temperature Distribution ◽  
Analytical Method ◽  
Good Accuracy ◽  
Proximity Effects ◽  
Electrical Performance ◽  
Power Cables ◽  
Power Losses ◽  
Transmission Networks ◽  
Medium Voltage ◽  
Cable Lines

The use of high voltage power cables in distribution and transmission networks is still increasing. As a result, the research on the electrical performance of cable lines is still up to date. In the paper, an analytical method of determining the power losses and the temperature distribution in the medium voltage cable was proposed. The main feature of the method is direct including the skin and proximity effects. Then the Joule law is used to express the power losses in the conductor and screen, and the Fourier-Kirchhoff equation is applied to find out the temperature distribution in the cable. The research was focused on a cable with isolated screen and return current in the screen taken into account. The proposed method was tested by using the commercial COMSOL software(5.6/COMSOL AB, Stockholm, Sweden) as well as by carrying out laboratory measurements. Furthermore, the results obtained via the proposed method were compared with those given in literature. The differences between the temperature values calculated by the analytical method, numerical computations and obtained experimentally do not exceed 10%. The proposed analytical method is suitable in prediction the temperature of the power cables with good accuracy.

scholarly journals Models, describing vehicles processing on offshore terminals

2020 ◽  
Author(s):  
Ю.В. Горгуца
Keyword(s):  
Service Time ◽  
Statistical Data ◽  
Service Systems ◽  
Weather Factors ◽  
Time Intervals ◽  
Final Model ◽  
Channel One ◽  
Basic Model ◽  
Mass Service ◽  
Random Events

При проектировании рейдовых причалов, строительство которых получило широкое развитие в настоящее время, невозможно воспользоваться методами, предлагаемыми ныне действующими Нормами технологического проектирования, так как они были выполнены для традиционных защищённых акваторий и опираются на статистический материал, полученный по существующим портам. Для разработки методов определения простоев судов при обработке судов на рейдовых причалах с учётом потока помех от метеофакторов (штормов) как потока случайных событий в данной статье описывается исследование новых моделей систем массового обслуживания. Используется метод суперпозиций – находятся решения для простых моделей, которые затем используются для получения решений по более сложным моделям. Первоначально рассматривается простейшая модель, состоящая из потоков вызовов (штормов) и прибора (порта). Поток вызовов - пуассоновский. Время обслуживания – произвольное с преобразованием Лапласа-Стилтьеса Полученные результаты используются для исследования модели с потоками помех от ветров двух различных направлений. Далее исследуется однолинейная модель с «ненадёжным» прибором. Входящий поток – пуассоновский поток подходящих к порту судов. Время обслуживания - длительность интервалов времени между освобождением места у причала для судна, ожидающих на рейде. Выход из строя прибора, как в свободном, так и в занятом обслуживанием состоянии определяется наступлением шторма – событием пуассоновского потока с интервалами между событиями – интервалами между наступлением штормов. Длительность восстановления работоспособности прибора – определяемая в первой модели длительность простоя причала из-за воздействия метеофакторов. Суда, оказавшиеся в порту при наступлении шторма «дообслуживаются» после его окончания Итоговая модель – многоканальная с параллельно работающими приборами (причалам) и экспоненциальным временем обслуживания судов. Полученные результаты сравнивались со статистическими и показали их высокую сходимость, что доказывает их достоверность. While designing offshore terminals, which are being built quite widely in recent time, it is impossible to use methods, proposed by current technological design norms, because they were created for traditional protected waters and are based on statistical data, acquired by existing ports. This article describes the research of new models of mass service systems to develop methods of defining demurrage while processing vehicles on offshore terminals, taking into account disturbance flow from weather factors (storms) as flow of random events. Method of superpositions is used - to find solutions for simple models, which are used afterwards for getting solutions for more complicated models. Initially the basic model is reviewed, consisting of flow of challenges (storms) and device (port). Challenges flow is Poisson. Service time - arbitrary with transformation of Laplace-Stiltjes. Results acquired are used for researching the model with disturbance flows from windows of various directions. Next the unilineal model with “unreliable” device is researched. Incoming flow is Poisson flow of incoming vehicles. Service time - length of time intervals between berths exemption for vehicles awaing on raid. Device failure, both in free and in maintenance mode was defined by storm incoming - the event of Poisson flow with intervals between events - intervals between storms. Duration of device efficiency recovery - is the defined in the first model duration of terminal demurrage due to weather influence. Vessels, caught up in the port during storm will be maintained after its end. Final model is multi-channel one with working devices (terminals) and exponential time of vessel service. Acquired results have been compared with statistical data, which showed they high convergence, proving their reliability.

A Dynamic Reliability-Centered Maintenance Analysis Method for Natural Gas Compressor Station Based on Diagnostic and Prognostic Technology

2015 ◽  
Vol 138 (6) ◽  
Author(s):  
Dengji Zhou ◽  
Huisheng Zhang ◽  
Yi-Guang Li ◽  
Shilie Weng
Keyword(s):  
Natural Gas ◽  
Preventive Maintenance ◽  
Condition Based Maintenance ◽  
Equipment Management ◽  
Analysis Method ◽  
Dynamic Reliability ◽  
Maintenance Schedule ◽  
Reliability Centered Maintenance ◽  
Maintenance Decision ◽  
Maintenance Model

The availability requirement of natural gas compressors is high. Thus, current maintenance architecture, combined periodical maintenance and simple condition based maintenance, should be improved. In this paper, a new maintenance method, dynamic reliability-centered maintenance (DRCM), is proposed for equipment management. It aims at expanding the application of reliability-centered maintenance (RCM) in maintenance schedule making to preventive maintenance decision-making online and seems suitable for maintenance of natural gas compressor stations. A decision diagram and a maintenance model are developed for DRCM. Then, three application cases of DRCM for actual natural gas compressor stations are shown to validate this new method.

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