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Journal : KURVATEK

KAJIAN STABILITAS SISTEM KELISTRIKAN INDUSTRI Dulhadi Dulhadi; Dewi Indriati Hadi Putri
KURVATEK Vol 5 No 2 (2020): November 2020
Publisher : Institut Teknologi Nasional Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33579/krvtk.v5i2.1814

Abstract

This research discusses the dynamic behavior of the operation of several synchronous generators in industrial electrical systems and to find out various factors that affect the stability of the electric power system. This research aims to develop an analysis method of stability that is practical, informative, and quite accurate. The analysis was performed by step by step numerical integration method. Observations were made on the oscillations between rotors, the simultaneity of the generator, the ability and speed of the system to reach a new steady state.The results of this research indicate that electrical system disturbance can cause oscillations between generators which reduce the ability and speed of the system in achieving steady-state conditions. This oscillation creates voltage and frequency fluctuations for a long time. Stability margins can be increased by regulating the burden for each generating unit corresponding with the characteristics and capabilities of each generator, network configuration, and operating load. Simulations of several cases indicate that the generator response to electrical noise very influenced by operating conditions, clearing time, location of disturbance, and changes in network configuration.Keywords: Transient stability, multi-machine system, step by step integration
METODE NUMERIK UNTUK ANALISIS KUALITAS SISTEM KELISTRIKAN BANDARA YOGYAKARTA INTERNATIONAL AIRPORT Dulhadi, Dulhadi; Arsyad, Mohammad; Afifudin, Shodiq; Andranetta Gracelynne Eka Pramudita, Eufrasia; Putra Pratama, Hafiyyan; Indriati Hadi Putri6, Dewi
KURVATEK Vol 8 No 2 (2023): Energy Management and Sustainable Environment
Publisher : Institut Teknologi Nasional Yogyakarta

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Abstract

Kualitas distribusi energi listrik secara praktis ditentukan dari drop tegangan dan faktor daya. Batasan drop tegangan terstandar 10% < tegangan kerja nominal < 5% dan faktor daya terendah 0,85. Untuk menganalisa kualitas sistem kelistrikan Bandara Yogyakarta International Airport (YIA) diperlukan perhitungan aliran daya yang tepat diantaranya penerapan metode Newton Raphson, Fast Decouple dan Gauss – Seidel. Tingkat kerumitan penyelesaian aliran daya sistem kelistrikan Bandara YIA secara manual cukup tinggi. Oleh karenya program aplikasi Etap versi 12.6 dapat menyelesaikan permasalah tersebut. Dengan membandingkan ketiga metode tersebut, pada iterasi 99, indeks presisi 10-4 metode Newton Raphson dan Fast Decouple memiliki kesederhaaan implementasi, effisiensi perhitungan dan keandalan yang tinggi dibandingkan Gauss – Seidel. Hasil running Newton Raphson dan Fast Decouple memiliki kesamaan hasil yaitu faktor daya dibawah standar 5 titik beban dari 41 titik beban (12,19%) dan drop tegangan tertinggi 2,48 %, Gauss-Seidel dengan iterasi 2000, nilai indeks prsisi 10-6 menghasilkan 7 titik beban (17,07%). Dengan demikian metode Newton Raphson atau Fast Decouple dapat digunakan untuk analisa kualitas sistem kelistrikan Bandara YIA. Kesimpulan hasil running menyimpulkan bahwa kondisi kualitas sistem kelistrikan Bandara YIA masih diatas standar.
OPTIMALISASI SISTEM PENGOPERASIAN GENERATOR SET MENGGUNAKAN METODE LAGRANGE Dulhadi, Dulhadi; Suyanta; Pramudita, Eufrasia Andranetta Gracelynne Eka; Afifudin, Shodiq; Putri, Dewi Indriati Hadi; Pratama, Hafiyyan Putra
KURVATEK Vol 10 No 2 (2025): Energy Management and Sustainable Environment
Publisher : Institut Teknologi Nasional Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33579/krvtk.v10i2.5791

Abstract

Yogyakarta International Airport has high power demands, supplied by GI Wates with a subscribed capacity of 2 × 8.66 MVA and five generator sets (gensets) each with a capacity of 2.5 MVA. Due to fluctuating flight schedules, all gensets operate simultaneously, leading to inefficient fuel consumption. This study aims to optimize the genset operation pattern using the Lagrange method based on historical energy and fuel consumption trends. The results show that only genset 1 operates optimally (83.26%) under normal conditions. In the event of a genset failure, the load is redistributed to other gensets with lower output to maintain efficiency and reliability. This approach increases efficiency, reduces fuel consumption, and extends engine lifespan. The optimization supports more energy-efficient and reliable airport operations.