ORCID Profile
0000-0001-5841-0246
Current Organisation
University of South Australia
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Publisher: IEEE
Date: 11-10-2020
Publisher: The Electromagnetics Academy
Date: 2013
DOI: 10.2528/PIER12120204
Publisher: IEEE
Date: 09-2015
Publisher: IEEE
Date: 16-12-2020
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 05-2017
Publisher: IEEE
Date: 16-12-2020
Publisher: MDPI AG
Date: 20-07-2022
DOI: 10.3390/EN15145260
Abstract: Decaying DC (DDC) offset current mitigation is a vital challenge in phasor current estimation since it causes malfunctioning/maloperation of measurements and protection systems. Due to the inductive nature of electric power systems, the current during fault inception cannot change immediately and it contains a transient oscillation. The oscillatory component acts similar to an exponential DC signal and its characteristics depend on the X/R ratio of the system, fault location, and fault impedance. DDC attenuates accurate phasor estimation, which is pivotal in protection systems. Therefore, the DDC must be eliminated from the fault current (FC) signal. This paper presents an overview of DDC mitigation methods by considering different groups—before the discrete Fourier transform (pre-DFT), after the discrete Fourier transform (post-DFT), the least square-based (LS-based), and other methods. Through a comprehensive review of the existing schemes, the effects of noise, harmonics, multiple DDCs (MDDCs), and off-nominal frequency (ONF) on the accuracy of DDC estimation, were recognized. A detailed discussion (along with some simulation results) are presented to address the main advantages/disadvantages of the past studies. Finally, this paper presents a few suggestions for future researchers, for researchers to investigate more implementable solutions in this field.
Publisher: IEEE
Date: 26-09-2021
Publisher: IEEE
Date: 09-2019
Publisher: IEEE
Date: 05-2023
Publisher: IEEE
Date: 10-2019
Publisher: IEEE
Date: 09-2013
Publisher: IEEE
Date: 10-10-2021
Publisher: Springer Science and Business Media LLC
Date: 24-09-2022
DOI: 10.1007/S00202-022-01654-W
Abstract: The bond-graph (BG) enables to model multi-physics systems in the energy domains. This paper shows that BG models are an alternative, more intuitive and simpler to interpret, graphical tool as compared to existing dynamic models for performance prediction of the line-start permanent-magnet synchronous motors (LSPMSMs). It includes electrical, magnetic, and mechanical energy domains where the stator windings, rotor bars, and permanent magnets are the main components of the model. The dynamical equations of the proposed BG are extracted and solved using the MATLAB ordinary differential equation solver for a s le LSPMSM. The dynamics of the studied LSPMSM is investigated under two operating conditions (1) a healthy motor and (2) a motor with broken rotor bars. The simulation results are compared with the finite-element analysis (FEA) as the most accurate method to simulate the electric motor behaviour. It is shown that the proposed BG model accurately predicts the performance parameters of the motor such as current, torque, and speed under various operating conditions. In addition to the modelling validation, the transient behavior of the LSPMSM are discussed to describe the possible reasons for its behaviour during transient and steady-state operating conditions.
Publisher: IEEE
Date: 24-05-2021
Publisher: Elsevier BV
Date: 12-2021
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2023
Publisher: IEEE
Date: 09-2019
Publisher: IEEE
Date: 09-2015
Publisher: IEEE
Date: 06-2012
Publisher: IEEE
Date: 09-2018
Publisher: The Electromagnetics Academy
Date: 2012
DOI: 10.2528/PIER11122501
Publisher: IEEE
Date: 16-12-2020
Publisher: IEEE
Date: 26-09-2023
Publisher: IEEE
Date: 10-2019
Publisher: IEEE
Date: 26-09-2023
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 07-2018
Publisher: IEEE
Date: 16-12-2020
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 04-2014
Publisher: IEEE
Date: 26-09-2023
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 04-2013
Publisher: IEEE
Date: 05-2011
Publisher: MDPI AG
Date: 22-11-2021
DOI: 10.3390/EN14227805
Abstract: In some applications such as electric vehicles, electric motors should operate in a wide torque and speed ranges. An efficiency map is the contour plot of the maximum efficiency of an electric machine in torque-speed plane. It is used to provide an overview on the performance of an electric machine when operates in different operating points. The electric machine losses in different torque and speed operating points play a prominent role in the efficiency of the machines. In this paper, an overview about the change of various loss components in torque-speed envelope of the electric machines is rendered to show the role and significance of each loss component in a wide range of torque and speeds. The research gaps and future research subjects based on the conducted review are reported. The role and possibility of the utilization of the computational intelligence-based modeling of the losses in improvement of the loss estimation is discussed.
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2015
Publisher: IEEE
Date: 09-2014
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 05-2022
Publisher: IEEE
Date: 09-2018
Publisher: MDPI AG
Date: 08-08-2022
DOI: 10.3390/EN15155745
Abstract: This paper proposes a quasi-resonant step-up DC-DC converter to provide the DC-link voltage for piezoelectric transmitters (PZETs). The resonance not only provides a soft-switching condition for the converter switches, but also helps to decrease the converter element sizes for marine applications. Operation modes of the proposed converter are discussed. The current and voltage of the converter components are derived analytically, and hence the converter gain is obtained. The performance of the proposed high-step-up, high-power density converter is examined through a comprehensive simulation study. The simulation results demonstrate the soft-switching operation and short transient time required for the converter to reach the reference output voltage. The converter output voltage remains unchanged when an inverter with a passive filter is placed at its output while supplying the PZET. The proposed DC-DC converter is prototyped to validate the converter gain and soft-switching operation experimentally. The converter gain and soft-switching results in simulation are well matched with those of the experimental tests. The converter efficiency in three different switching frequencies is obtained experimentally. The power density of the proposed topology is determined via the designing of a printed circuit board. The experimental results demonstrate the appropriate gain and efficiency of the converter in the tested power range.
Publisher: IEEE
Date: 24-05-2021
Publisher: IEEE
Date: 10-2019
Publisher: IEEE
Date: 26-09-2022
Publisher: IEEE
Date: 11-10-2020
Publisher: Springer Science and Business Media LLC
Date: 20-04-2021
Publisher: IEEE
Date: 26-09-2023
Publisher: IEEE
Date: 05-2011
Publisher: Springer Science and Business Media LLC
Date: 08-2015
Publisher: IEEE
Date: 16-12-2021
Publisher: IEEE
Date: 16-12-2020
Publisher: IEEE
Date: 09-10-2022
Publisher: Academic Journals
Date: 09-01-2012
DOI: 10.5897/IJPS11.1428
Publisher: IEEE
Date: 09-2013
Publisher: IEEE
Date: 09-2016
Publisher: Institution of Engineering and Technology (IET)
Date: 04-2013
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2023
Publisher: IEEE
Date: 11-2013
Publisher: IEEE
Date: 10-2012
Publisher: MDPI AG
Date: 02-03-2022
DOI: 10.3390/SU14052892
Abstract: This paper proposes a multi-size Split-diesel generator (Split-DG) model with three different sizes of DGs and more switching configurations compared to the existing split-DG models. The proposed multi-size Split-DG system is examined for optimal sizing of remote microgrids with and without renewable-battery system. As a novel concept, multi-size Split-DG is used to reduce contamination, cost, and dumped power by using multiple small DGs to replace the single-size large DG. As another contribution of this study, a practical model is developed by considering the capacity degradation of components, spinning reserve, as well as DG’s and fuel tank’s constraints. The optimization problem is solved using a variable weighting particle swarm optimization (VW-PSO) algorithm. The effectiveness of the proposed Split-DG systems, optimized by the developed VW-PSO, is verified by comparing the results with conventional single-size DG system and the system optimized by conventional PSO. While the formulated optimization problem is general and can be used for any remote microgrids, an aboriginal community in South Australia is examined in this study. For this purpose, realistic data of load and weather, as well as technical and economic data of components, are used. It is found that the Split-DG-PV-WT-BES system has the lowest electricity cost compared to the systems without BES, or without PV and WT.
Publisher: IEEE
Date: 16-12-2020
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2014
Publisher: IEEE
Date: 28-11-2020
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2022
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 09-2020
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 07-2015
Publisher: IEEE
Date: 16-12-2020
Publisher: Springer Science and Business Media LLC
Date: 08-04-2022
Publisher: IEEE
Date: 10-2019
Publisher: IEEE
Date: 16-12-2020
Publisher: Copernicus GmbH
Date: 04-03-2020
Abstract: Abstract. Wildfire occurrence is influenced by climate, vegetation and human activities. A key challenge for understanding the risk of fires is quantifying the mediating effect of vegetation on fire regimes. Here, we explore the relative importance of Holocene land cover, land use, dominant functional forest type, and climate dynamics on biomass burning in temperate and boreo-nemoral regions of central and eastern Europe over the past 12 kyr. We used an extensive data set of Holocene pollen and sedimentary charcoal records, in combination with climate simulations and statistical modelling. Biomass burning was highest during the early Holocene and lowest during the mid-Holocene in all three ecoregions (Atlantic, continental and boreo-nemoral) but was more spatially variable over the past 3–4 kyr. Although climate explained a significant variance in biomass burning during the early Holocene, tree cover was consistently the highest predictor of past biomass burning over the past 8 kyr. In temperate forests, biomass burning was high at ∼45 % tree cover and decreased to a minimum at between 60 % and 70 % tree cover. In needleleaf-dominated forests, biomass burning was highest at ∼ 60 %–65 % tree cover and steeply declined at % tree cover. Biomass burning also increased when arable lands and grasslands reached ∼ 15 %–20 %, although this relationship was variable depending on land use practice via ignition sources, fuel type and quantities. Higher tree cover reduced the amount of solar radiation reaching the forest floor and could provide moister, more wind-protected microclimates underneath canopies, thereby decreasing fuel flammability. Tree cover at which biomass burning increased appears to be driven by warmer and drier summer conditions during the early Holocene and by increasing human influence on land cover during the late Holocene. We suggest that long-term fire hazard may be effectively reduced through land cover management, given that land cover has controlled fire regimes under the dynamic climates of the Holocene.
Publisher: IEEE
Date: 06-2011
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 05-2020
Publisher: The Electromagnetics Academy
Date: 2012
DOI: 10.2528/PIER12070308
Publisher: IEEE
Date: 16-12-2020
Publisher: IEEE
Date: 11-10-2020
Publisher: IEEE
Date: 11-10-2020
Publisher: IEEE
Date: 26-09-2023
Publisher: IEEE
Date: 24-05-2021
Publisher: IEEE
Date: 26-09-2021
Publisher: Cold Spring Harbor Laboratory
Date: 08-02-2023
DOI: 10.1101/2023.02.07.527551
Abstract: Human activity has fundamentally altered wildfire on Earth, creating serious consequences for human health, global bio ersity, and climate change. However, it remains difficult to predict fire interactions with land use, management, and climate change, representing a serious knowledge gap and vulnerability. We used expert assessment to combine opinions about past and future fire regimes from 98 wildfire researchers. We asked for quantitative and qualitative assessments of the frequency, type, and implications of fire regime change from the beginning of the Holocene through the year 2300. Respondents indicated that direct human activity was already influencing wildfires locally since at least ~ 12,000 years BP, though natural climate variability remained the dominant driver of fire regime until around 5000 years BP. Responses showed a ten-fold increase in the rate of wildfire regime change during the last 250 years compared with the rest of the Holocene, corresponding first with the intensification and extensification of land use and later with anthropogenic climate change. Looking to the future, fire regimes were predicted to intensify, with increases in fire frequency, severity, and/or size in all biomes except grassland ecosystems. Fire regime showed quite different climate sensitivities across biomes, but the likelihood of fire regime change increased with higher greenhouse gas emission scenarios for all biomes. Bio ersity, carbon storage, and other ecosystem services were predicted to decrease for most biomes under higher emission scenarios. We present recommendations for adaptation and mitigation under emerging fire regimes, concluding that management options are seriously constrained under higher emission scenarios.
Publisher: Institution of Engineering and Technology (IET)
Date: 05-2013
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 03-2023
Publisher: IEEE
Date: 26-09-2021
Publisher: Oxford University Press (OUP)
Date: 2002
DOI: 10.1093/OXFORDJOURNALS.SCHBUL.A006937
Abstract: This was a long-term followup study of defined cohorts of new patients who met ICD-10 criteria for schizophrenia and related disorders. Three mental health service systems with psychiatric case registers were compared. In two areas (Victoria, Australia, and South-Verona, Italy), a comprehensive system of community-based psychiatric care was developed, with a substantial reduction of hospital beds (to 0.27 beds/1,000 people). In the third area (Groningen, the Netherlands), despite the presence of community psychiatric services, mental health care was still mainly hospital based (1.6 beds/1,000 people). Two hypotheses were tested: (1) the length of stay is shorter in a community-based system than in a hospital-based system and (2) the risk of rehospitalization is independent of the characteristics of the mental health system, so that risk is expected to be similar in areas with community-based and hospital-based systems. The first hypothesis was confirmed. The risk of rehospitalization, however, was lower in Victoria than in the two other areas, which might show the potential impact of community care in reducing rehospitalization.
Publisher: Institution of Engineering and Technology (IET)
Date: 04-2023
DOI: 10.1049/GTD2.12824
Abstract: This paper determines the optimal capacity of solar photovoltaic (PV) and battery energy storage (BES) for a grid‐connected house based on an energy‐sharing mechanism. The grid‐connected house, also mentioned as house 1 where it is relevant, shares electricity with house 2 under a mutually agreed fixed energy price. The objective is to minimize the cost of electricity (COE) for house 1 while decreasing the electricity cost of house 2. Practical factors such as real data for solar insolation, electricity consumption, grid constraint, ambient temperature, electricity rate, and battery degradation are considered based on actual data. The developed methodology is examined by taking the actual load data of two houses in South Australia. Different scenarios of contract years between the houses are investigated to make it more practical in real life. Sensitivity analyses are conducted for the sharing of energy between the houses and by changing parameters like export power limitation, load of houses, and costs of PV and BES. Likewise, operational analysis is done for two days of summer and winter. It is found that when energy sharing is applied, the optimal design of the PV‐BES system will achieve lower COE for both houses.
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2019
No related grants have been discovered for Solmaz Kahourzade.