Article Sidebar

Submitted
July 4, 2023
Published
July 26, 2023
Download
pdf
Statistic
Read Counter : 452 Download : 2646

Main Article Content

Abstract

PLN Indonesia Power ULPL TA Musi utilizes the potential energy of
water which is then used to drive a turbine connected to a generator rotor.
Excitation system plays an important role in controlling the stabil of a
generator as a controller and functions to control generator output such as
voltage, current and power factor. The excitaton system for all units in the
Musi hydroelectric power house uses a brush excitation system. Brush
excitation is an excitation with a brush by utilizing the output of the generator
itself as the excitation. There are 3 types of generator power, namely active
power (MW), reactive power (MVAR), and apparent power (MVA). This data
is taken from the daily operaing data of the Musi turbine hydropower unit 1.
The highest power factor value is obtained in the early morning of 0,999 Cos
 with a reactive power value of 0,5 MVAR to 1,8 MVAR. While the lowest
power factor value is 0,975 Cos  with a reactive power value is 6,2 MVAR.
The smaller the reactive power value, the greater the power factor.

Keywords

Population Structure Bayang Duck Pitalah duck Kamang Duck Sikumbang Jonti Duck

Article Details

License

Copyright (c) 2023 Aziz Zulhakim, Yanolanda Suzantry Handayani

Creative Commons License

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Authors who publish with this journal agree with the following terms:

  1. Authors retain copyright and grant the journal the right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
  2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
  3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).
  4. This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

 

How to Cite
Suhartati, L., Arlina, F., Husmaini, & Pradana, K. K. (2023). PENGARUH SISTEM EKSITASI TERHADAP GENERATOR SINKRON TIGA FASA DI UNIT 1 PT. PLN INDONESIA POWER ULPL TA MUSI. Teknosia, 17(1), 1–12. https://doi.org/10.33369/teknosia.v17i1.28708
Download Citation
Endnote/Zotero/Mendeley (RIS)
BibTeX

References

  1. Ablondi, M., Summer, A., Stocco, G., Finocchiaro, R., van Kaam, J., Cassandro, M., Dadousis, C., Sabbioni, A., & Cipolat-Gotet, C. 2023. The role of inbreeding depression on productive performance in the Italian Holstein breed. Journal of Animal Science. https://doi.org/10.1093/jas/skad382
  2. Andini, N. 2024. Qualitative traits of intensively reared west sumatran local ducks (pitalah, bayang, kamang and sikumbang jonti ducks). Skripsi. Faculty of Animal Science Andalas University, Padang.
  3. Doekes, H. P., Bijma, P., & Windig, J. J. 2021. How Depressing Is Inbreeding? A Meta-Analysis of 30 Years of Research on the Effects of Inbreeding in Livestock. Genes, 12(6), 926. https://doi.org/10.3390/GENES12060926
  4. Fathoni, A., Firdaus, M., & Wahyudi, F. 2024. 1. The influence of farming experience, production costs, selling price, and number of trees through production as intervening variables on the income of crystal guava farmers in Umbulsari district, Jember regency. Journal of Economic, Management, Business, and Accounting Research, Vol 1 (2). https://doi.org/10.31967/jembar.v2i1.1059
  5. Fried, H.O., Tauer, L.W. 2016. The Aging U.S. Farmer: Should We Worry?. 391-407. doi: 10.1007/978-3-319-48461-7_16 http://doi:10.1007/978-3-319-48461-7_16
  6. Gopinathan, A., Murugan, M., & Sivakumar, T. 2015. A Farming System Perspective of Rural Duck Farming of Tamilnadu. Shanlax International Journal of Veterinary Science,2 (3), .10-14.
  7. Kementan. 2022. Itik Master Penghasil Telur Unggul. Kementerian Pertanian. Balitbangtan. Balitnak. Ciawi, Bogor.
  8. Kepmentan.2011. Keputusan Menteri Pertanian 2923/Kpts/OT.140/6/2011 tentang Penetapan itik Pitalah sebagai Rumpun Ternak Nasional. Menteri Pertanian Republik Indonesia. Jakarta.
  9. Kepmentan.2012. Keputusan Menteri Pertanian 2835/Kpts/LB.430/8/2012 tentang Penetapan itik Bayang sebagai Rumpun Ternak Nasional. Menteri Pertanian Republik Indonesia. Jakarta.
  10. Kepmentan.2012a. Keputusan Menteri Pertanian 2837/Kpts/LB.430/8/2012 tentang Penetapan itik Mojosari sebagai Rumpun Ternak Nasional. Menteri Pertanian Republik Indonesia. Jakarta.
  11. Ningsih, L.A. 2023. Population Structure Of Ducks In Batu Balang Village, Harau Sub-District, Lima Puluh Kota District. Skripsi. Faculty of Animal Science, Andalas University, Padang.
  12. Nurliza. 2016. Population structure of bayang ducks in lengayang sub-district, Pesisir selatan district. Skripsi. Faculty of Animal Science Andalas University, Padang.
  13. Mawarni, N.S., Murwanto, A.G., Baaka, S. A., & Nuhuyanan, L. A. 2024. Outpouring of labor and factors affecting duck cultivation in Wanggar District, Nabire Regency. Journal of Tropical Animal and Veterinary Science, 14 (1). https://doi.org/10.46549/jipvet.v14i1.392
  14. Mugambe, J., Ahmed, R., Thaller, G., & Schmidtmann, C. 2024. Impact of inbreeding on production, fertility, and health traits in German Holstein dairy cattle utilizing various inbreeding estimators. Journal of Dairy Science. https://doi.org/10.3168/jds.2023-23728
  15. Putra, O.P. 2023. Population Structure Of Local Ducks In The Situjuah Limo Nagari Sub-District, Lima Puluh Kota District. Skripsi. Faculty of Animal Science, Andalas University, Padang.
  16. Rafian T., Yurnalis Y, Husmaini H, and Arlina F. 2023. Polymorphism of Sikumbang Jonti ducks Growth Hormone (GH) Gene using PCR-RFLP Methods. Agritropica: Journal of Agricultural Science. 6(1): 8-13. https://doi.org/10.31186/J.agritropica.6.1.8-13
  17. Tauer, L.W. 1995. Age and Farmer Productivity. Applied Economic Perspectives and Policy, 17(1):63–69. http://doi:10.2307/1349655
  18. Verma, S. 2024. Education, Risk-attitude and Agricultural Innovation: Farm Level Investigation in North India. The Indian Economic Journal. https://doi.org/10.1177/00194662241265493
  19. Wang, Z., Zhu, C., Liu, H., Song, W., Tao, Z., Xu, W., Zhang, S., & Li, H. 2023. Effects of different rearing systems on growth performance, carcass traits, meat quality, and serum biochemical parameters in Gaoyou ducks. Animal Production Science 63 (7), 681-688. https://doi.org/10.1071/AN22309
  20. Waples, R. S. 2013. Effective Population Number (pp. 453–455). https://doi.org/10.1016/B978-0-12-374984-0.00464-2
  21. Yalti, R. 2012. Population structure of local ducks in the Bayang sub-district. Skripsi. Faculty of Animal Science, Andalas University, Padang.