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Journal : International Journal of Electrical and Computer Engineering

Coordination of Adaptive Neuro Fuzzy Inference System (ANFIS) and Type-2 Fuzzy Logic System-Power System Stabilizer (T2FLS-PSS) to Improve a Large-scale Power System Stability Agung Budi Muljono; I. M. Ginarsa; I. M. A. Nrartha; A. Dharma
International Journal of Electrical and Computer Engineering (IJECE) Vol 8, No 1: February 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1172.703 KB) | DOI: 10.11591/ijece.v8i1.pp76-86

Abstract

Intelligent control included ANFIS and type-2 fuzzy (T2FLS) controllers grown-up rapidly and these controllers are applied successfully in power system control. Meanwhile, small signal stability problem appear in a large-scale power system (LSPS) due to load fluctuation. If this problem persists, and can not be solved, it will develop blackout on the LSPS. How to improve the LSPS stability due to load fluctuation is done in this research by coordinating of PSS based on ANFIS and T2FLS. The ANFIS parameters are obtained automatically by training process. Meanwhile, the T2FLS parameters are determined based on the knowledge that obtained from the ANFIS parameters. Input membership function (MF) of the ANFIS is 5 Gaussian MFs. On the other hand, input MF of the T2FLS is 3 Gaussian MFs. Results show that the T2FLS-PSS is able to maintain the stability by decreasing peak overshoot for rotor speed and angle. The T2FLS-PSS makes the settling time is shorter for rotor speed and angle on local mode oscillation as well as on inter-area oscillation than conventional/ ANFIS-PSS. Also, the T2FLS-PSS gives better performance than the other PSS when tested on single disturbance and multiple disturbances.
Transient response mitigation using type-2 fuzzy controller optimized by grey wolf optimizer in converter high voltage direct current Ginarsa, I Made; Nrartha, I Made Ari; Muljono, Agung Budi; Zebua, Osea
International Journal of Electrical and Computer Engineering (IJECE) Vol 14, No 2: April 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v14i2.pp1274-1286

Abstract

Long high voltage direct current (HVDC) transmission link is commonly used to transmit electrical energy via land or under-sea cable. The long HVDC avoids reactive power losses (RPL) and power stability problems (PSP). On the contrary, the RPL and PSP phenomena occur in long high voltage alternative current-link (HVAC) caused by the high reactive component in the HVAC-link. However, the HVDC produces a high and slow transient current response (TCR) on the high value of the up-ramp rate. Interval type-2 fuzzy (IT2F) control on converter-side HVDC is proposed to mitigate this TCR problem. The IT2F is optimized by grey wolf optimizer (GWO) to adjust input-output IT2F parameters optimally. The performance of IT2F-GWO is assessed by the minimum value of integral time squared error (ITSE), peak overshoot, and settling time of the TCR. The IT2FC-GWO performance is validated by the performance of IT2F control that is optimized by genetic algorithm (IT2F-GA) and proportional integral (PI) controller. Simulation results show that the IT2F-GWO performs better with small ITSE, low peak overshoot, and shorter settling times than competing controllers.
Strategy to reduce transient current of inverter-side on an average value model high voltage direct current using adaptive neuro-fuzzy inference system controller Ginarsa, I Made; Ari Nrartha, I Made; Budi Muljono, Agung; Sultan, Sultan; Nababan, Sabar
International Journal of Electrical and Computer Engineering (IJECE) Vol 12, No 5: October 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v12i5.pp4790-4800

Abstract

Growing-up of high voltage direct current (HVDC) penetration into modern power systems (PS) makes difficulty on the PS operation. The HVDC produces high and slow transient current (TC) at start-time, especially for higher up-ramp rate (Urr>20 pu/s). Its condition makes the HVDC cannot be linked and synchronized into the PS rapidly. A strategy to reduce the TC is proposed by an adaptive network based fuzzy inference system (ANFIS) control on inverter HVDC-link to cope up this problem. The ANFIS control is tuned with the help of conventional control in various train-data by using offline mode. Response of ANFIS scheme is improved by suppressing TC at the values of 3.75% for the both phases (A and C), and 3.95% for phase B, for the Urr=30 pu/s. While the conventional control achieved at 9.1% for the both phases (A and B), and 9.2% for the phase C. The ANFIS control gives shorter settling time (0.553 s) than the conventional control (0.584 s) for all phases. The proposed control is more effective than the conventional control at all the scenario.
Co-Authors A. Dharma A. Ibi Weking Aan Kurniawan Abdul Natsir Adha, Farhan Adi Soeprijanto Agung Budi Muljono Agung Budi Mulyono Agung Budi Mulyono Ahmilurrizqi D, M. Alfandi, Ahmad Nova Anugerah, Fitra Arnawan Hasibuan Bagus Widhi Dharma Bagus Widhi Dharma S. Budi Darmawan Bulkis Kanata Desi Widianty DHARMA S, BAGUS WIDHI Eduarsa, Made Octa Faris, M Salman Firmansah, Danu Hadi A, Muh. Saihul Hamdi, Haidar Harjian, Muhammad Rivaldi I Ketut Wiryajati I Made Ari Nrartha I Made Ari Nratha I Made Budi Suksmadana I Made Budi Suksmadana I N Satya Kumara I Nyoman Wahyu Satiawan I Wayan Sutrisna I.B. Fery Citarsa Ida Ayu Sri Adnyani Karni, Wais Al Karyawan, I Dewa Made Alit Ketut Perdana Putra, I M. Najmul Fadli M. Widi Triyatno Made Sutha Yadnya Mahdi, Muh. Sultanul Mahendra, Aldi Aryanugraha Mauridhi Hery Purnomo Muhamad Tohri Mulijono, Agung Budi Muljono, Agung B Nababan, Sabar Natsir, Abdul Nawi Naufan Nada Ni Luh Sinar Ayu Ratna Dewi Ni Made Seniari NI Made Seniari Ni Made Seniari Ni Made Seniari Nrartha I Made Ari Osea Zebua Osea Zebua Osea Zebua Paniran Paniran Putra, I Ketut Perdana Ramdhani, Zainul Hadi Rangga Akbar Rizal Ermiazis Kesuma S, Bagus Widhi Dharma Sasongko, Sudi M. Al. Sasongko, Sudi Mariyato Al Sasongko, Sudi Maryanto Al Seniari, Ni Made Sudi Mariyanto Al Sasongko Sudi Mariyato Al Sasongko sultan Sultan . Sultan . Sultan Sultan Sultan Sultan Sultan Sultan Sultan Sultan Sultan Sultan Supriyatna Supriyatna Supriyatna Tohri, M. Triyatno, M. Widi Warindi D Widianty , Desi Zainuddin, Abdullah Zebua, Osea