Pembentukan Kurva Kapabilitas Generator Menggunakan Pendekatan Sistem Modified Single Machine to Infinite Bus (M-SMIB) untuk Batasan Optimisasi Sistem Pembangkitan

Authors

  • Rusilawati Rusilawati Akademi Teknik Pembangunan Nasional, Banjarbaru, Indonesia

DOI:

https://doi.org/10.31961/eltikom.v4i2.225

Keywords:

Kurva kapabilitas generator, Optimisasi generator, Sistem Modified Single Machine to Infnite Bus

Abstract

Kurva kapabilitas generator memberikan batasan jumlah pembangkitan daya aktif dan daya reaktif dari generator dan juga digunakan untuk memberikan batasan pada operasi Optimal Power Flow (OPF). Kurva kapabilitas generator biasanya diberikan oleh pabrikan generator. Dalam prakteknya dapat terjadi generator sudah mencapai batas pembangkitan maksimumnya sebelum mencapai nilai yang tertera pada kurva kapabilitas yang diberikan pabrikan generator. Hal ini dapat terjadi karena letak beban yang terlalu jauh dari pembangkit atau variasi nilai beban yang selalu berubah-ubah, sehingga mempengaruhi nilai batas pembangkitan maksimum generator. Dalam penelitian ini, kurva kapabilitas generator dibentuk menggunakan pendekatan sistem Modified Single Machine to Infinite Bus (M-SMIB), yaitu suatu metode untuk menentukan batas kestabilan steady state generator setiap saat terjadi perubahan pada letak dan nilai beban. Selanjutnya dilakukan optimisasi pada sistem pembangkitan dengan batasan kurva kapabilitas generator yang diperoleh sehingga pembagian beban pada setiap unit pembangkit selalu berada dalam batas kestabilan steady state generator dan batas keamanan pengoperasiannya . Penelitian diaplikasikan pada sistem pembangkitan IEEE 4 bus 2 generator.

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References

E. H. Enrique, “Generation Capability Curves for Wind Farms”, IEEE Conference on Technologies for Sustainability (SusTech), Indonesia, 2014, hal. 103-106.
Coordination of generator protection with generator excitation control and generator capability, Power System Relay Committee, Working Group J-5 of the Rotating Machinery Subcommittee, IEEE, 2007, hal. 1-17.
R. Sandoval, A. Guzmán, H. J. Altuve, “Dynamic Simulations Help Improve Generator Protection”, SEL, hal. 1-23, 2006.
M. Elsamahy, S.O. Faried, G. Ramakrishna, “Impact of Midpoint STATCOM on the Coordination between Generator Distance Phase Backup Protection and Generator Capability Curves”, IEEE, hal. 1-7, 2010.
M. Elsamahy, S. O. Faried, T. S. Sidhu, G. Ramakrishna, “Enhancement of the Coordination Between Generator Phase Backup Protection and Generator Capability Curves in the Presence of a Midpoint STATCOM”, IEEE Transactions On Power Delivery Using Support Vector Machines, vol. 26, no. 3, hal.1842-1853, July 2011.
M. Syai’in, A. Soeprijanto, T. Hiyama, “Generator Capability Curve Constraint for PSO Based Optimal Power Flow, World Academy of Science”, Engineering and Technology International Journal of Electrical and Computer Engineering, vol. 3, no. 5, hal. 1079-1084, 2009.
B. Park, L. Tang, M. C. Ferris, C. L. DeMarco, “Examination of three different ACOPF formulations with generator capability curves”, IEEE Transactions on Power Systems, hal. 1-10, 2019.
H. Zein, Y. Sabri. “Involving Generator Capability Curves in Optimal Power Flow”, Proc. of 20l5 2nd Int. Conference on Information Technology, Computer and Electrical Engineering (ICITACEE), Indonesia, Oct l6-l8 2015, hal. 347-351.
N. E. Nilsson, J. Mercurio, “Synchronous generator capability curve testing and evaluation”, IEEE Transactions on Power Delivery, vol. 9, No. 1, hal. 414-424, January 1994.
P. E. Sutherland, “Generator capability study for offshore oil platform”, IEEE, hal. 1-8, 2009.
Rusilawati , A. Soeprijanto, R. S. Wibowo, “Reactualization of a Modified Single Machine to Infinite Bus model to multimachine system steady state stability analysis studies using losses network concepts and Radial Basis Function Neural Network (RBFNN)”, International Review on Modelling and Simulations (I.RE.MO.S.), Vol. 10, No. 2, hal. 112-120, April, 2017.
Rusilawati, A. Soeprijanto, O. Penangsang and D.F.U. Putra, “Determination of Generator Steady State Stability using Losses Concept and RBFNN”, Journal of Telecommunication, Electronic and Computer Engineering, Vol. X, No. X, hal. 1-6, 2017.
Rusilawati, D. Ashari1, D. F. U. Putra, R. S. Wibowo, A. Soeprijanto, “Optimal Tuning of PSS Parameter Using HACDE Based on Equivalent SMIB Model”, International Review of Automatic Control (I.RE.A.CO.), Vol. 10, No. 2, hal. 204-210 March, 2017.
Rusilawati, I. B. Sulistiawati, A. Soeprijanto, and R. S. Wibowo, “Determination of Generator Steady State Stability Limit for Multimachine System based on Network Losses Concept”, ICESTI (2017), dipublikasikan pada MATEC Web of Conferences Vol. 164, No. 01041, hal. 1-13, 2018.
Rusilawati, I. B. Sulistiawati and N. Yorino, “Determination of Generator Capability Curve using Modified-Single Machine to Infinite Bus (M-SMIB) System Approach”, The International Conference on Electrical Systems, Technology & Information 2019 (ICESTI 2019), akan dipublikasikan pada E3S Web of Conferences (WOC), 2020.
G. Valverde, J. J. Orozco, “Reactive power limits in distributed generators from generic capability curves”, IEEE, 2014.
H. Saadat, Power System Analysis, McGraw-Hill Inc, USA. 1999, hal. 58.

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Published

22-10-2020

How to Cite

[1]
Rusilawati, R. 2020. Pembentukan Kurva Kapabilitas Generator Menggunakan Pendekatan Sistem Modified Single Machine to Infinite Bus (M-SMIB) untuk Batasan Optimisasi Sistem Pembangkitan. Jurnal ELTIKOM : Jurnal Teknik Elektro, Teknologi Informasi dan Komputer. 4, 2 (Oct. 2020), 132–139. DOI:https://doi.org/10.31961/eltikom.v4i2.225.

Issue

Vol. 4 No. 2 (2020)

Section

Articles

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