activity
20172021
most citedImproved Parameter Estimation Techniques for Induction Motors using Hybrid Algorithms

2 citations · 2 across the 5 of their papers we have counts for

collaborators

5 papers

eess.SY2021

Joint Estimation of System Inertia and Load Relief

Julius Susanto, Alireza Fereidouni, Dean Sharafi

Modern power systems with high share of renewable generation are at the risk of rapid changes in frequency and inertia resulting from contingencies. The importance of an accurate a…

eess.SY2020

Online Security Assessment of Low-Inertia Power Systems: A Real-Time Frequency Stability Tool for the Australian South-West Interconnected System

Alireza Fereidouni, Julius Susanto, Pierluigi Mancarella +3

In small/medium-sized isolated power networks with low rotational inertia and high penetration of renewables, generation/load contingency events may cause large frequency excursion…

eess.SY2020

Closed-Form Solutions for a Low-Order System Fast Frequency Response Model

Julius Susanto, Alireza Fereidouni, Pierluigi Mancarella +1

This paper presents a novel closed-form solution for a low-order system frequency response (SFR) model that is accurate for all time periods and an accompanying approximation for r…

eess.SY2020

Optimal Capacity of a Battery Energy Storage System based on Solar Variability Index to Smooth out Power Fluctuations in PV-Diesel Microgrids

Julius Susanto, Farhad Shahnia

Battery energy storage systems can be integrated with photovoltaic (PV)-diesel microgrids, as an enabling technology to increase the penetration of PV systems and aid microgrid sta…

eess.SY2017★ 2 cited

Improved Parameter Estimation Techniques for Induction Motors using Hybrid Algorithms

Julius Susanto, Syed Islam

The performance of Newton-Raphson, Levenberg-Marquardt, Damped Newton-Raphson and genetic algorithms are investigated for the estimation of induction motor equivalent circuit param…