ORCID Profile
0000-0001-8071-3235
Current Organisation
Deakin University Waurn Ponds Campus
Does something not look right? The information on this page has been harvested from data sources that may not be up to date. We continue to work with information providers to improve coverage and quality. To report an issue, use the Feedback Form.
Publisher: IEEE
Date: 09-2014
Publisher: IEEE
Date: 09-0012
Publisher: Springer London
Date: 2013
Publisher: Springer London
Date: 2013
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 12-2022
Publisher: MDPI AG
Date: 12-06-2023
DOI: 10.3390/EN16124650
Abstract: This paper proposes a hierarchical multi-stage approach based on a distributed level phasor measurement unit (µPMU) at local controllers and a phasor data concentrator (PDC) at the central control unit to restore system voltage when it exceeds the limits recommended by the IEEE 1547-2018 standard. The proposed algorithm does not need an accurate system model or employ optimization solutions. Therefore, it has less implementation complexity and would be popular among distribution network service providers (DNSPs) and distribution network operators (DNOs) as it does not suffer from cost and computational complexity limitations. A PMU-PDC-based communication platform has been developed as a more efficient alternative to the supervisory control and data acquisition (SCADA) system, and provides superior characteristics, including a higher s le rate, higher data resolutions, and faster communication. The proposed coordinated algorithm aims to postpone power generation curtailment in distributed energy resources (DERs) with overvoltage problems (local DERs) by incorporating all the DERs that are not subjected to voltage violation (remote DERs) by absorbing their maximum reactive power capacity. If the system voltage has not recovered after absorbing all of the reactive power capacity of all the DERs, a reduced active power curtailment proposed by the algorithm is then applied to the system to control the voltage. The proposed strategy has been simulated in MATLAB and applied to IEEE 13-bus and IEEE 33-bus radial distribution benchmark systems to validate the performance of the system, in terms of its ability to coordinate voltage control and the accuracy of the PMU-PDC-based communication interface.
Publisher: IEEE
Date: 09-2018
Publisher: MDPI AG
Date: 26-03-2021
DOI: 10.3390/APP11072974
Abstract: In this study, vibration based non-destructive testing (NDT) technique is adopted for assessing the condition of in-service timber pole. Timber is a natural material, and hence the captured broadband signal (induced from impact using modal hammer) is greatly affected by the uncertainty on wood properties, structure, and environment. Therefore, advanced signal processing technique is essential in order to extract features associated with the health condition of timber poles. In this study, Hilbert–Huang Transform (HHT) and Wavelet Packet Transform (WPT) are implemented to conduct time-frequency analysis on the acquired signal related to three in-service poles and three unserviceable poles. Firstly, mother wavelet is selected for WPT using maximum energy to Shannon entropy ratio. Then, the raw signal is ided into different frequency bands using WPT, followed by reconstructing the signal using wavelet coefficients in the dominant frequency bands. The reconstructed signal is then further decomposed into mono-component signals by Empirical Mode Decomposition (EMD), known as Intrinsic Mode Function (IMF). Dominant IMFs are selected using correlation coefficient method and instantaneous frequencies of those dominant IMFs are generated using HHT. Finally, the anomalies in the instantaneous frequency plots are efficiently utilised to determine vital features related to pole condition. The results of the study showed that HHT with WPT as pre-processor has a great potential for the condition assessment of utility timber poles.
Publisher: Elsevier BV
Date: 03-2017
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2022
Publisher: ACTAPRESS
Date: 2010
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2022
Publisher: Elsevier BV
Date: 07-2023
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2022
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2023
Publisher: EDP Sciences
Date: 2017
DOI: 10.1051/REES/2017004
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2022
Publisher: Hindawi Limited
Date: 2013
DOI: 10.1155/2013/835309
Abstract: Storage minimizes the intermittent nature of renewable sources. Solar and wind are the two fostered source of renewable energy. However, the availability of useful solar radiation and wind speed varies with geographical locations, and also the duration of this energy sources varies with seasonal variation. With the available vast open land and geographical position, Australia has great potential for both solar and wind energies. However, both these sources require energy buffering to support load demand to ensure required power quality. Electricity demand is increasing gradually, and also Australia has target to achieve 20% electricity from renewable sources by 2020. For effective utilization of solar and wind energy potential location of these sources needs to be identified, and effective size of storage needs to be estimated for best utilization according to the load demand. Therefore this paper investigated wind speed and solar radiation data of 210 locations in Australia, identified the potential locations, and estimated required storage in various potential locations to support residential load demand. Advantages of storage were analyzed in terms of loading on distribution transformer and storage support during energy fluctuation from renewable energy. Further analysis showed that storage greatly reduces greenhouse gas emission and reduces overall cost of energy by maximizing the use of solar and wind energies.
Publisher: MDPI AG
Date: 23-02-2023
DOI: 10.3390/EN16052172
Abstract: The integration of plug-in electric vehicles (PEVs) in residential distribution networks demands a significant amount of electrical load where random and uncoordinated charging affects the quality and performance of the distribution network. Random and uncoordinated charging may increase the peak demand and can increase stress on critical network assets such as line, transformer, and switching devices. Moreover, the charging of PEVs in a low network reduces the voltage of the system below the lower limit. On the other hand, using PEVs as storage in the V2G mode can improve the network condition. Therefore, it is critical to properly manage the charging and discharging operation of PEVs. This paper proposes a multi-objective-based charging and discharging coordination of PEVs with the operation of the capacitor and on-load tap changer (OLTC). With the proposed strategy, the distribution network is operated safely, and charging is ensured for all PEVs connected to the network. The main consideration of this research is to reduce the daily power loss, operational cost, and voltage deviation of the system. The metaheuristic optimization binary firefly algorithm (BFA) has been applied to coordinate PEV charging and discharging as well as capacitor and OLTC operation in the system. A modified IEEE 31 bus 23 kV distribution system is used to implement the proposed strategy. From the obtained results, it is found that the combined PEV charging and discharging coordination with capacitor and OLTC operation reduces the power loss and cost by 34.16% and 12.68%, respectively, with respect to uncoordinated charging and enhances the voltage condition of the network.
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 07-2019
Publisher: Elsevier BV
Date: 02-2018
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 03-2022
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 09-2020
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2021
Publisher: MDPI AG
Date: 20-06-2022
DOI: 10.3390/SU14127501
Abstract: The education system is continuously modernizing by accommodating the need due to the industrial revolution. Various teaching modes are also introduced including a erse range of students, particularly in engineering education. The COVID-19 pandemic has disrupted normal education worldwide, forced to shut down c us activity for an extended period which forced Universities to adopt alternative approaches to continue student’s academic year. Engineering education faced significant challenges to find a realistic substitution for lab-based hands-on activity as well as group or team-based learning experiences. It is therefore very important to know the challenges and ways to address them. This paper evaluates the teaching and learning experiences observed in engineering education in Australia and abroad during the COVID-19 period compared to the pre-COVID period. The key motivation of this study is to identify key challenges arises due to COVID-19, develop Teaching & Learning (T & L) approaches to address these challenges and evaluate the effectiveness of the applied changes in the T & L approach, identify shortcomings, and find ways to improve them. The student feedback on selected engineering units have been collected from Deakin and Murdoch university in Australia to evaluate the performances of the applied changes. This data is considered as an authentic source of information to compare and identify the key challenges and effectiveness for students’ learning in pre-COVID and during COVID condition. This study later explored various literatures to gather experiences from other universities across the globe and by analysing all findings including academic experiences finally developed constructive recommendations for improvement. It is found that the current form of online mode of teaching has room to improve further as one segment of students finds it challenging and some others like a few approaches. It is also found that the online infrastructure, staff skills to innovate new unit designs, and motivating students are the other challenging areas. Therefore, a new teaching and learning framework is required to overcome all the challenges for future learning.
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 05-2021
Location: Australia
No related grants have been discovered for Mohammad Arif.