Amin Mohammadpour Shotorbani
Dr. Amin Mohammadpour Shotorbani
Postdoctoral Associate
Research Field: Real-time and Robust Energy Management in Microgrids
Supervisor: Dr. Behnam Mohammadi-Ivatloo
Real-time and Robust Energy Management in Smart Microgrids
Energy management in microgrids is indispensable to reduce the operation cost and the environmental impacts, which is usually formulated as an offline optimization problem for day-ahead scheduling. Most of these offline approaches assume perfect forecasting of the system variables, including renewables generation, the demands, and the market), which is difficult to achieve in practice. Ignoring uncertainties in forecasting might impede the objectives of the energy management system. A real-time energy management scheme using Lyapunov optimization, however, can effectively address the uncertainties as it uses online measurement information from the market, renewable generation, and load demand. Lyapunov-based online optimization eliminates the need for stochastic information of the variables.
Electric vehicle recharging infrastructure planning
Recharging infrastructure (RI) deployment plays a vital role in improving the public recharging availability for transport electrification. A planning framework is a must to ensure the sustainable deployment of EV-RIs in complex networks. In this regard, a lifecycle thinking-based multi-period infrastructure planning framework to develop sustainable public EV-RIs in an urban context is needed. This framework should consist of a temporal model to find the dynamic EV-RI demands, a stochastic model to obtain travel distances, and a multi-objective optimization model to select the best desirable capacities and locations for potential EV-RIs.
Publications in journals and conference papers may be found at Publications Page or Google Scholar.