| Project Id
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BITSRMIT100059
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| Project Detail
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| Project Title
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Optimisation of Renewable Energy Sources (RES) and Energy Storage Systems (ESS) in a Microgrid
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| Senior Supervision Team (BITS)
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| Supervisor name and Title
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Pratyush Chakraborty
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School or Department (or company, if applicable)
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BITS PILANI, HYDERABAD CAMPUS
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|
|
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Email ID
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pchakraborty@hyderabad.bits-pilani.ac.in
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| URL for more info
|
https://universe.bits-pilani.ac.in/hyderabad/pchakraborty/Profile
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| a) Are you currently supervising a BITS or RMIT HDR student?
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NO
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| Please comment how many you are supervising
|
|
| b) Have you supervised an offshore candidate before?
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NO
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| If no, what support structures do you have in place?
|
|
| If yes, please elaborate
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|
| Senior Supervision Team (RMIT)
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| Supervisor name and Title
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Dr Manoj Datta, Senior Lecturer
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School or Department (or company, if applicable)
|
STEM
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|
|
|
Email ID
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manoj.datta@rmit.edu.au
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| URL for more info
|
https://www.rmit.edu.au/contact/staff-contacts/academic-staff/d/datta-dr-manoj
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| a) Are you currently supervising a BITS or RMIT HDR student?
|
YES
|
| Please comment how many you are supervising
|
4
|
| b) Have you supervised an offshore candidate before?
|
YES
|
| If no, what support structures do you have in place?
|
|
| If yes, please elaborate
|
|
| Other Supervisors (BITS)
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| Supervisor name and Title
|
HITESH DATT MATHUR
|
School or Department (or company, if applicable)
|
BITS PILANI, PILANI CAMPUS
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| Phone Number (Optional)
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9694096451
|
Email ID
|
mathurhd@pilani.bits-pilani.ac.in
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| URL for more info
|
https://web.bits-pilani.ac.in/Pilani/mathurhd/profile
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| Other Supervisors (RMIT)
|
| Supervisor name and Title
|
|
School or Department (or company, if applicable)
|
|
| Phone Number (Optional)
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|
Email ID
|
|
| URL for more info
|
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| Field of Research (For Codes)
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| 400803 | Electrical energy generation (incl. renewables, ex | 40.00 |
| 400808 | Photovoltaic power systems | 30.00 |
| 490304 | Optimisation | 30.00 |
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| Project Description
|
|
Due to global warming, climate change, and the increased need for sustainability, the current power grid needs to be transformed by integrating more renewable energies. However, unlike traditional fossil-fuel-based power sources, renewable energy sources (RES) fluctuate with weather, are variable and are non-dispatchable. This variability and stochastic nature of RESs is a significant challenge for power grid integration. One possible solution is using large-scale energy storage systems (ESS), which will store and dispatch energy when necessary, thus reducing this variability. However, they still need to be cost-friendly. Microgrids, which are small formulations of the main grid grids with smaller RESs and ESS sizes, are becoming popular for integrating more renewable energies. Microgrids can operate independently or be connected to the main power grid. Designing and sizing an optimal microgrid involves many engineering constraints and parameters like voltage fluctuation, frequency deviations, system reliability, cost, and solving nonlinear power flow equations, which presents a complex optimisation problem. This PhD project aims to find the best solution to this optimisation problem. The objective is to identify and apply an efficient and robust optimisation algorithm to handle all the uncertainties related to the RES and tackle the engineering constraints and solve nonlinear power flow equations fast enough for better convergence.
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| Project Deliverable/Outcomes
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|
The deliverables/outcomes can be summarised as follows: A suitable optimisation algorithm for microgrid sizing and design An optimisation algorithm for microgrids that takes both the energy balancing and system transients into account for optimisation Most cost-effective sizing and design of the energy storage system. Location, weather, and load variations do not affect the optimisation speed and convergence level.
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| Research Impact Themes
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| ADVANCED DIGITAL TECHNOLOGIES AND BUSINESS TRANSFORMATION | ARTIFICIAL INTELLIGENCE AND MODELLING; SUPPLY CHAINS AND OPTIMISATION |
| SUSTAINABLE DEVELOPMENT AND ENVIRONMENT
| CLEAN ENERGY AND SUSTAINABLE TECHNOLOGIES |
| DESIGN, CREATIVE PRACTICE AND GLOBAL BUSINESS | IMPROVED GLOBAL BUSINESS EFFICIENCIES AND INNOVATION |
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| Which RMIT Sustainable Development Goal (SDG) does your project align to
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|
AFFORDABLE AND CLEAN ENERGY
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| Which RMIT Enabling Impact Platform (EIP) does your project align to
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|
SUSTAINABLE TECHNOLOGIES AND SYSTEMS PLATFORM
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| Which RMIT Program code will this project sit under?
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|
DR220 PhD (Electrical & Electronic Eng)
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| Student Capabilities and Qualifications
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Optimization, Electrical Power Engineering
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Smart Grid with Renewable Energy, Python Programming
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BSC./BTech/MTech/MSc in Electrical Power Engineering
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| Preferred discipline of Student
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| Electrical and Electronics Engineering, Power Engineering |
| Energy: Carbon Capture/Sequestration/Storage, Renewables |
|