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Avirup Maulik
Avirup Maulik
Indian Institute of Technology Varanasi (BHU)
Verified email at itbhu.ac.in
Title
Cited by
Cited by
Year
Optimal operation of microgrid using four different optimization techniques
A Maulik, D Das
Sustainable Energy Technologies and Assessments 21, 100-120, 2017
1072017
Optimal operation of droop-controlled islanded microgrids
A Maulik, D Das
IEEE Transactions on Sustainable Energy 9 (3), 1337-1348, 2017
802017
Optimal power dispatch considering load and renewable generation uncertainties in an AC–DC hybrid microgrid
A Maulik, D Das
IET Generation, Transmission & Distribution 13 (7), 1164-1176, 2019
662019
An integrated optimal operating strategy for a grid-connected AC microgrid under load and renewable generation uncertainty considering demand response
A Nayak, A Maulik, D Das
Sustainable Energy Technologies and Assessments 45, 101169, 2021
482021
Coordinated stochastic optimal energy management of grid-connected microgrids considering demand response, plug-in hybrid electric vehicles, and smart transformers
S Gupta, A Maulik, D Das, A Singh
Renewable and Sustainable Energy Reviews 155, 111861, 2022
432022
Optimal operation of a droop‐controlled DCMG with generation and load uncertainties
A Maulik, D Das
IET Generation, Transmission & Distribution 12 (12), 2905-2917, 2018
412018
Stability constrained economic operation of islanded droop-controlled DC microgrids
A Maulik, D Das
IEEE Transactions on Sustainable Energy 10 (2), 569-578, 2018
312018
Performance improvement of an islanded AC microgrid in presence of Plug-in Hybrid Electric vehicles, load and renewable generation uncertainties
M Thite, A Maulik, D Das
Sustainable Energy, Grids and Networks 26, 100469, 2021
232021
Probabilistic power management of a grid-connected microgrid considering electric vehicles, demand response, smart transformers, and soft open points
A Maulik
Sustainable Energy, Grids and Networks 30, 100636, 2022
212022
Artificial neural network based predictive negative hydrogen ion helicon plasma source for fusion grade large sized ion source
V Shukla, M Bandyopadhyay, V Pandya, A Pandey, A Maulik
Engineering with Computers, 2020
172020
Application of linearised load flow method for droop-controlled DCMGs
A Maulik, D Das
IET Generation, Transmission & Distribution 14 (6), 1114-1126, 2020
132020
Power Flow and Economic Dispatch of a Microgrid in Presence of Feeder Flow Control Distributed Generators
DD Avirup Maulik
2017 6th International Conference On COMPUTER APPLICATIONS IN ELECTRICAL …, 2017
12*2017
Determination of optimal reserve requirement for fuel cost minimization of a microgrid under load and generation uncertainties
A Maulik, D Das
Arabian Journal for Science and Engineering 44, 2003-2031, 2019
102019
Multi-objective optimal dispatch of AC-DC Hybrid Microgrid
A Maulik, D Das
2018 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC …, 2018
102018
Economic-emission dispatch of a droop-controlled DC microgrid
A Maulik, D Das
TENCON 2017 - 2017 IEEE Region 10 Conference, 72 - 77, 2017
102017
Determination of optimal size of battery energy storage system (BESS) for a renewable power based microgrid
A Maulik, D Das
2020 IEEE 17th India Council International Conference (INDICON), 1-6, 2020
92020
Operation of a grid-connected AC microgrid in presence of Plug-in hybrid electric vehicle, price, load and generation uncertainties
A Singh, A Maulik, D Das
2021 IEEE Green Technologies Conference (GreenTech), 263-270, 2021
62021
Stochastic impact assessment of phev charger levels in a microgrid
A Singh, A Maulik, D Das
2021 Innovations in Energy Management and Renewable Resources (52042), 1-6, 2021
62021
Energy management of an active distribution network considering correlation between uncertain input variables
A Singh, A Maulik
Arabian Journal for Science and Engineering 48 (5), 6377-6398, 2023
42023
An accurate current sharing method for an Islanded droop‐controlled dc microgrid without communication between remote buses
A Maulik, D Das
International Transactions on Electrical Energy Systems, e12473, 2020
42020
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