student profile: Miss Mengyu Li


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Thesis work

Thesis title: GIS-based modelling of electric vehicles and the Australian grid system

Supervisors: Manfred LENZEN , Anthony VASSALLO

Thesis abstract:

In today’s world, fossil fuels play a dominant role in energy supply systems. Large quantities of fossil fuels are exploited, imported and combusted every day, which inevitably contribute to energy depletion and greenhouse gas (GHG) emissions. The transportation sector is the major consumer of fossil fuels and the main source of GHG emissions. Electric Vehicles (EVs), due to their zero emissions during driving, are becoming increasingly prevalent with a growing market penetration in the transportation sector. Besides, EVs can be integrated with power systems especially those with higher penetration of renewable energy sources, resulting in relatively higher overall energy efficiency. Another possibility of EVs is the Demand Side Management, where EVs can both be the flexible load providing Demand Response and the potential storage device feeding power back to the grid, commonly referred to as vehicle-to-grid services, to support the grid network operation. However, due to the unknown spatial-temporal distribution of EVs charging load, introducing a higher penetration of EVs also poses numerous negative impacts on power system operators such as transmission line congestion, voltage drop and energy loss. Therefore, an integrated coordinated charging and discharging management system that can model the EVs temporal and spatial load and assess the impact of the load on the power system is urgently required. The overall goals of this proposed thesis are to 1) simulate the temporal and spatial distribution of current EVs load for whole Australia 2) manage EVs fleet to take their full advantage as flexible load or/and the storage device on the power system.

Selected publications

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Journals

  • Li, M., Lenzen, M., Keck, F., McBain, B., Rey-Lescure, O., Li, B., Jiang, C. (2019). GIS-based probabilistic modeling of BEV charging load for Australia. IEEE Transactions on Smart Grid, 10(4), 3525-3534. [More Information]
  • Keck, F., Lenzen, M., Vassallo, A., Li, M. (2019). The impact of battery energy storage for renewable energy power grids in Australia. Energy, 173, 647-657. [More Information]

2019

  • Li, M., Lenzen, M., Keck, F., McBain, B., Rey-Lescure, O., Li, B., Jiang, C. (2019). GIS-based probabilistic modeling of BEV charging load for Australia. IEEE Transactions on Smart Grid, 10(4), 3525-3534. [More Information]
  • Keck, F., Lenzen, M., Vassallo, A., Li, M. (2019). The impact of battery energy storage for renewable energy power grids in Australia. Energy, 173, 647-657. [More Information]

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