Search Results - "Agalgaonkar, A. P."

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  1. 1

    Assessment of energy supply and continuity of service in distribution network with renewable distributed generation by Abdullah, M.A., Agalgaonkar, A.P., Muttaqi, K.M.

    Published in Applied energy (01-01-2014)
    “…•Difficulties in assessing distribution network adequacy with DG are addressed.•Indices are proposed to assess adequacy of energy supply and service…”
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    Journal Article
  2. 2

    Probabilistic load flow incorporating correlation between time-varying electricity demand and renewable power generation by Abdullah, M.A., Agalgaonkar, A.P., Muttaqi, K.M.

    Published in Renewable energy (01-07-2013)
    “…The time-varying demand and stochastic power generation from renewable distributed generating resources necessitate an exhaustive assessment of distribution…”
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    Journal Article
  3. 3

    Climate change mitigation with integration of renewable energy resources in the electricity grid of New South Wales, Australia by Abdullah, M.A., Agalgaonkar, A.P., Muttaqi, K.M.

    Published in Renewable energy (01-06-2014)
    “…The implementation of climate change mitigation strategies may significantly affect the current practices for electricity network operation. Increasing…”
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    Journal Article
  4. 4

    Online Voltage Control in Distribution Systems With Multiple Voltage Regulating Devices by Ranamuka, D., Agalgaonkar, A. P., Muttaqi, K. M.

    Published in IEEE transactions on sustainable energy (01-04-2014)
    “…Voltage regulation in distribution systems is typically performed with the aid of multiple voltage regulating devices, such as on-load tap changer and step…”
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    Journal Article
  5. 5

    A variance inflation factor and backward elimination based robust regression model for forecasting monthly electricity demand using climatic variables by Vu, D.H., Muttaqi, K.M., Agalgaonkar, A.P.

    Published in Applied energy (15-02-2015)
    “…•Multicollinearity analysis is used to exclude the redundant explanatory variables.•Backward elimination regression analysis is used to remove insignificant…”
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    Journal Article
  6. 6

    Evaluation of configuration plans for DGs in developing countries using advanced planning techniques by Agalgaonkar, A.P., Kulkarni, S.V., Khaparde, S.A.

    Published in IEEE transactions on power systems (01-05-2006)
    “…Many developing countries have emphasis on distributed generation (DG) technology for their generation expansion planning. The planning considerations and…”
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    Journal Article
  7. 7

    Microgrids of Commercial Buildings: Strategies to Manage Mode Transfer From Grid Connected to Islanded Mode by Meegahapola, Lasantha Gunaruwan, Robinson, Duane, Agalgaonkar, A. P., Perera, S., Ciufo, P.

    Published in IEEE transactions on sustainable energy (01-10-2014)
    “…Microgrid systems located within commercial premises are becoming increasingly popular and their dynamic behavior is still uncharted territory in modern power…”
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    Journal Article
  8. 8

    Voltage Unbalance Emission Assessment in Interconnected Power Systems by Jayatunga, U., Perera, S., Ciufo, P., Agalgaonkar, A. P.

    Published in IEEE transactions on power delivery (01-10-2013)
    “…The International Electrotechnical Commission (IEC) Technical Report IEC/TR 61000-3-13:2008 considers voltage-unbalance (VU) emission assessment as a key…”
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    Journal Article
  9. 9

    Innovative Volt/VAr Control Philosophy for Future Distribution Systems Embedded With Voltage-Regulating Devices and Distributed Renewable Energy Resources by Ranamuka, D., Agalgaonkar, A. P., Muttaqi, K. M.

    Published in IEEE systems journal (01-09-2019)
    “…Conventional voltage-regulating devices such as load tap changers, voltage regulators, and local capacitor banks are commonly used for voltage-regulation…”
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    Journal Article
  10. 10

    Climate change impacts on electricity demand in the State of New South Wales, Australia by Ahmed, T., Muttaqi, K.M., Agalgaonkar, A.P.

    Published in Applied energy (01-10-2012)
    “…► A balance point temperature for the State of New South Wales of Australia. ► A regression based model to analyse climate induced future electricity demand. ►…”
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    Journal Article
  11. 11

    Load forecasting under changing climatic conditions for the city of Sydney, Australia by Ahmed, T., Vu, D.H., Muttaqi, K.M., Agalgaonkar, A.P.

    Published in Energy (Oxford) (01-01-2018)
    “…In the current context, climate change has become an unequivocal phenomenon. Although it primarily encompasses change in temperature, nevertheless other…”
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    Journal Article
  12. 12

    Mitigating Tap Changer Limit Cycles in Modern Electricity Networks Embedded With Local Generation Units by Ranamuka, D., Agalgaonkar, A. P., Muttaqi, K. M., Alam, M. J. E.

    Published in IEEE transactions on industry applications (01-01-2016)
    “…Cascaded on-load tap changers (OLTCs) are widely used for coarse control of voltages in largely interconnected electric power systems. There could be…”
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    Journal Article
  13. 13

    Subsynchronous torsional interaction behaviour of wind turbine-generator unit connected to an HVDC system by Yin Chin Choo, Agalgaonkar, A P, Muttaqi, K M, Perera, S, Negnevitsky, M

    “…Utilisation of wind energy to generate electricity has attracted considerable attention worldwide, and is rapidly-growing. The integration of large wind farms…”
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    Conference Proceeding
  14. 14

    Comparative evaluation of solar PV hosting capacity enhancement using Volt-VAr and Volt-Watt control strategies by Chathurangi, D., Jayatunga, U., Perera, S., Agalgaonkar, A.P., Siyambalapitiya, T.

    Published in Renewable energy (01-11-2021)
    “…Integration of solar photovoltaic systems to low-voltage distribution networks is witnessing an unprecedented growth in many parts of the world. Although solar…”
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    Journal Article
  15. 15

    Sensitivity of Network Wide Voltage Unbalance Levels to Variations in Unbalanced Installations by Kahingala, T. D., Perera, S., Agalgaonkar, A. P., Jayatunga, U.

    “…Voltage unbalance (VU) emission assessment is a challenging task due to the complex interactions between the sources of voltage unbalance. Consequently, to…”
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    Conference Proceeding
  16. 16

    A nomographic tool to assess solar PV hosting capacity constrained by voltage rise in low-voltage distribution networks by Chathurangi, D., Jayatunga, U., Perera, S., Agalgaonkar, A.P., Siyambalapitiya, T.

    “…•Deterministic approach for evaluation of solar PV hosting capacity subjected to over-voltage curtailment in LV networks.•Solar PV hosting capacity limits in…”
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    Journal Article
  17. 17

    An Effective Power Dispatch Control Strategy to Improve Generation Schedulability and Supply Reliability of a Wind Farm Using a Battery Energy Storage System by Abdullah, Md Abu, Muttaqi, K. M., Sutanto, Danny, Agalgaonkar, A. P.

    Published in IEEE transactions on sustainable energy (01-07-2015)
    “…The uncertainty in the availability of wind generation and the lack of coincidence between wind generation and system peak demand make wind farms (WFs) to be…”
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    Journal Article
  18. 18

    STATCOM Based Network Voltage Unbalance Mitigation for Sub-Transmission Networks by Kahingala, T. D., Perera, S., Agalgaonkar, A. P., Jayatunga, U.

    “…Network voltage unbalance (VU) is a potentially damaging power quality phenomenon for both utility and end consumer equipment. With the increased penetration…”
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    Conference Proceeding
  19. 19

    Visualising the effect of DG on voltage profile in medium voltage distribution networks by Nigar, Yasmin, Agalgaonkar, A. P., Ciufo, Phil

    “…Distributed renewable generation is increasing all over the world. The effect of Distributed Generation (DG) on system voltage profile can be examined through…”
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    Conference Proceeding
  20. 20

    Short-term electricity demand forecasting using autoregressive based time varying model incorporating representative data adjustment by Vu, D.H., Muttaqi, K.M., Agalgaonkar, A.P., Bouzerdoum, A.

    Published in Applied energy (01-11-2017)
    “…•An autoregressive based time varying model is proposed to forecast electricity demand in short-term period.•Sine and cosine functions are selected as time…”
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    Journal Article