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All Journal Proceeding of the Electrical Engineering Computer Science and Informatics Indonesian Journal of Electrical Engineering and Computer Science
Galih Bangga
University of Stuttgart
Computer Science & IT Electrical & Electronics Engineering

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Low-Frequency Oscillation Mitigation usin an Optimal Coordination of CES and PSS based on BA Dwi Lastomo; Herlambang Setiadi; Galih Bangga; Imam Wahyudi Farid; Muhammad Faisal; Peter Go Hutomo; Taurista Perdana Syawitri; Louis Putra; Yongki Hendranata; Kristiadi Stefanus; Chairunnisa Chairunnisa; Andri Ashfahani; Ahmad Sabila
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 5: EECSI 2018
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (339.971 KB) | DOI: 10.11591/eecsi.v5.1627

Abstract

Small signal stability represents the reliability of generator for transferring electrical energy to the consumers. The stress of the generator increases proportionally with the increasing number of load demand as well as the uncertainty characteristic of the load demand. This condition makes the small signal stability performance of power system become vulnerable. This problem can be handled using power system stabilizer (PSS) which is installed in the excitation system. However, PSS alone is not enough to deal with the uncertainty of load issue because PSS supplies only an additional signal without providing extra active power to the grid. Hence, utilizing capacitor energy storage (CES) may solve the load demand and uncertainty issues. This paper proposes a coordination between CES and PSS to mitigate oscillatory behavior of the power system. Moreover, bat algorithm is used as an optimization method for designing the coordinated controller between CES and PSS. In order to assess the proposed method, a multi-machine two-area power system is applied as the test system. Eigenvalue, damping ratio, and time domain simulations are performed to examine the significant results of the proposed method. From the simulation, it is found that the present proposal is able to mitigate the oscillatory behavior of the power system by increasing damping performance from 4.9% to 59.9%.
Design intelligent maximum power point tracking for photovoltaic at Universitas Airlangga Herlambang Setiadi; Firdaus Bima Firmansyah; Prisma Megantoro; Tahta Amrillah; Herri Trilaksana; Galih Bangga; Muhammad Abdillah; Awan Uji Krismanto
Indonesian Journal of Electrical Engineering and Computer Science Vol 27, No 3: September 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v27.i3.pp1212-1222

Abstract

Rooftop photovoltaic (PV) plant is one ot the independent electricity that us favorable in recent year. Rooftop PV plant can be used as the source of smart building as well as fast charging station. Although rooftop PV plant could provide clean and sustainable energy from solar, they also come with disadvantages in term of intermittent power output. This intermittent power output is due to the uncertainty of the source. To tackle this problem, maximum power point tracking method is essential. Maximum power point tracking (MPPT) method can be used to extract maximum power from the solar cell in all conditions. This paper proposes an intelligent method for designing DC-DC MPPT based on fruit fly optimization (FFO) on realistic rooftop PV plant. Practical rooftop PV plant in Universitas Airlangga is employed as the testing system. The proposed method's efficacy is evaluated using time domain simulation. According to the simulation results, the proposed method can significantly extract power from PV.
Co-Authors Ahmad Sabila Awan Uji Krismanto Chairunnisa Chairunnisa Firdaus Bima Firmansyah Herlambang Setiadi Herlambang Setiadi Herri Trilaksana Imam Wahyudi Farid Kristiadi Stefanus Lastomo, Dwi Louis Putra Muhammad Abdillah Muhammad Faisal Peter Go Hutomo Prisma Megantoro Tahta Amrillah Taurista Perdana Syawitri, Taurista Perdana Yongki Hendranata