ORCID Profile
0000-0002-8084-7695
Current Organisation
University of South Australia
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Publisher: IEEE
Date: 16-12-2021
Publisher: IEEE
Date: 16-12-2020
Publisher: OMICS Publishing Group
Date: 2016
Publisher: Institution of Engineering and Technology (IET)
Date: 1993
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 11-2004
Publisher: Institution of Engineering and Technology (IET)
Date: 2000
Publisher: Institution of Engineering and Technology (IET)
Date: 03-2009
Publisher: IEEE
Date: 10-10-2021
Publisher: IEEE
Date: 07-2009
Publisher: IEEE
Date: 2006
Publisher: Institution of Engineering and Technology (IET)
Date: 1996
Publisher: Informa UK Limited
Date: 09-1994
Publisher: Elsevier BV
Date: 12-2023
Publisher: Elsevier BV
Date: 06-2004
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 03-2022
Publisher: IEEE
Date: 05-12-2021
Publisher: Institution of Engineering and Technology (IET)
Date: 16-07-2019
Publisher: IEEE
Date: 09-2019
Publisher: Elsevier BV
Date: 10-2020
Publisher: IEEE
Date: 10-2012
Publisher: Informa UK Limited
Date: 2006
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 05-2001
DOI: 10.1109/39.920968
Publisher: IEEE
Date: 06-2007
Publisher: Informa UK Limited
Date: 2008
Publisher: IEEE
Date: 09-2019
Publisher: Walter de Gruyter GmbH
Date: 28-03-2008
Abstract: This paper proposes a simple method of determining the distance to voltage collapse using some local information such as bus voltage magnitude and load current magnitude. First the voltage and current information are carefully processed to establish a voltage stability index (VSI) that varies almost linearly with load. The VSI is then used to estimate the distance to voltage collapse using linear extrapolation. The effects of generator reactive power limits, line tripping, non-uniform increase in load and additional shunt reactive power sources on the VSI are also investigated. The effectiveness of the proposed method of determining the distance to voltage collapse is then tested on the IEEE 30-bus system. The results obtained by the proposed method are also compared with the corresponding actual values found through repetitive power flow simulations and are observed to be in very good agreement.
Publisher: Institution of Engineering and Technology (IET)
Date: 1994
Publisher: IEEE
Date: 16-12-2020
Publisher: IEEE
Publisher: IEEE
Publisher: Institution of Engineering and Technology (IET)
Date: 2004
Publisher: IEEE
Date: 10-10-2021
Publisher: IEEE
Date: 16-12-2020
Publisher: Institution of Engineering and Technology (IET)
Date: 1990
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 02-2021
Publisher: IEEE
Date: 12-2014
Publisher: Institution of Engineering and Technology (IET)
Date: 17-12-2018
Publisher: IEEE
Publisher: IEEE
Date: 11-2008
Publisher: IEEE
Date: 10-2006
Publisher: IEEE
Date: 11-2008
Publisher: IEEE
Date: 11-2017
Publisher: Elsevier BV
Date: 04-2000
Publisher: Institution of Engineering and Technology (IET)
Date: 1989
Publisher: IEEE
Date: 16-12-2020
Publisher: Elsevier BV
Date: 08-2019
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 03-2010
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 1988
DOI: 10.1109/59.14570
Publisher: IEEE
Date: 16-12-2020
Publisher: IEEE
Date: 10-10-2021
Publisher: Walter de Gruyter GmbH
Date: 23-01-2015
Abstract: Most of the electrical infrastructure in use around the world today is decades old, and may be illsuited to widespread proliferation of personal Electric Vehicles (EVs) whose charging requirements will place increasing strain on grid demand. In order to reduce the pressure on the grid and taking benefits of off peak charging, this paper presents a smart and cost effective EV charging methodology for residential homes equipped with renewable energy resources such as Photovoltaic (PV) panels and battery. The proposed method ensures slower battery degradation and prevents overcharging. The performance of the proposed algorithm is verified by conducting simulation studies utilizing running data of Nissan Altra. From the simulation study results, the algorithm is shown to be effective and feasible which minimizes not only the charging cost but also can shift the charging time from peak value to off-peak time.
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2022
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 04-2002
Publisher: IEEE
Date: 12-2018
Publisher: Elsevier BV
Date: 10-2019
Publisher: IEEE
Date: 16-12-2020
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 09-2020
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 07-2021
Publisher: IEEE
Date: 11-2013
Publisher: Elsevier BV
Date: 08-2007
Publisher: Elsevier BV
Date: 1995
Publisher: Elsevier BV
Date: 03-1996
Publisher: Institution of Engineering and Technology (IET)
Date: 12-2015
Publisher: Institution of Engineering and Technology (IET)
Date: 1991
Publisher: IEEE
Date: 07-2012
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 06-2009
Publisher: Elsevier BV
Date: 04-2003
Publisher: Elsevier BV
Date: 03-2014
Publisher: Elsevier BV
Date: 2003
Publisher: Institution of Engineering and Technology (IET)
Date: 2005
Publisher: IEEE
Date: 2016
Publisher: IEEE
Date: 2000
Publisher: Institution of Engineering and Technology (IET)
Date: 2004
Publisher: IEEE
Date: 05-2014
Publisher: IEEE
Date: 2005
Publisher: IEEE
Date: 11-2020
Publisher: Institution of Engineering and Technology
Date: 2013
DOI: 10.1049/CP.2013.1778
Publisher: IEEE
Date: 2001
Publisher: Institution of Engineering and Technology
Date: 2013
DOI: 10.1049/CP.2013.1779
Publisher: Elsevier BV
Date: 04-1993
Publisher: IEEE
Date: 11-10-2020
Publisher: Elsevier BV
Date: 10-2022
Publisher: IEEE
Date: 26-09-2021
Publisher: IEEE
Date: 09-2019
Publisher: Institution of Engineering and Technology (IET)
Date: 1996
Publisher: IEEE
Date: 05-2014
Publisher: Institution of Engineering and Technology (IET)
Date: 2004
Publisher: IEEE
Date: 2008
Publisher: Elsevier BV
Date: 06-2023
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2023
Publisher: Informa UK Limited
Date: 1989
Publisher: Institution of Engineering and Technology (IET)
Date: 2003
Publisher: Elsevier BV
Date: 09-1992
Publisher: IEEE
Date: 10-10-2021
Publisher: Elsevier BV
Date: 12-2004
Publisher: IEEE
Date: 11-2015
Publisher: Institution of Engineering and Technology (IET)
Date: 2003
Publisher: IEEE
Date: 09-2019
Publisher: IEEE
Publisher: Inderscience Publishers
Date: 2015
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 12-2008
Publisher: Inderscience Publishers
Date: 2015
Publisher: ACTA Press
Date: 2005
Publisher: Elsevier BV
Date: 06-1995
Publisher: IEEE
Date: 06-2019
Publisher: IEEE
Publisher: IEEE
Date: 11-2019
Publisher: Elsevier BV
Date: 04-1993
Publisher: IEEE
Date: 2001
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 08-2008
Publisher: IEEE
Date: 11-2014
Publisher: Institution of Engineering and Technology (IET)
Date: 1996
Publisher: Springer Science and Business Media LLC
Date: 2003
Abstract: The hypothesis that antibiotic use may increase cancer risk was first proposed several decades ago and some research suggests an increased risk of breast cancer among women with conditions likely to require long-term antibiotic use (e.g., acne, recurrent urinary-tract infections, UTI). However, this hypothesis has not been verified and the possible biological mechanisms are not entirely clear. A recent cohort study in Finland reported an increased risk of breast-cancer associated with antibiotic use for UTI. The effect of antibiotics on the ability of intestinal microflora to metabolise phytochemicals from edible plants into compounds that may protect against cancer was proposed as a potential mechanism. We extend this hypothesis by proposing that antibiotic use may be associated with breast-cancer risk through effects on immune and inflammatory factors, such as cytokines, T lymphocytes, prostaglandins, and matrix metalloproteinases, as well as disruption of phytochemical and oestrogen metabolism by intestinal microflora. We suggest that some mechanisms may increase breast-cancer risk, while others may decrease risk, depending on the antibiotic classification.
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 10-2021
Publisher: Institution of Engineering and Technology (IET)
Date: 1999
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 09-2022
Location: Bangladesh
Location: Saudi Arabia
No related grants have been discovered for Mohammed Haque.