Strategy to reduce transient current of inverter-side on an average value model high voltage direct current using adaptive neuro-fuzzy inference system controller

• Published in: International journal of electrical and computer engineering (Malacca, Malacca) Vol. 12; no. 5; p. 4790
• Main Authors: Ginarsa, I Made, Ari Nrartha, I Made, Budi Muljono, Agung, Sultan, Sultan, Nababan, Sabar
• Format: Journal Article
• Language: English
• Published: Yogyakarta IAES Institute of Advanced Engineering and Science 01.10.2022
• Subjects: Adaptive control; Adaptive systems; Artificial neural networks; Computer engineering; Direct current; Electric power systems; Electrical engineering; Fuzzy control; Fuzzy logic; High voltages; HVAC; Inference; Inverters; Neural networks; Phases; Simulation; Transient current
• ISSN: 2088-8708; 2722-2578; 2088-8708
• DOI: 10.11591/ijece.v12i5.pp4790-4800

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.