Optimal Planning of Microgrids under Uncertainty

Utilizing advanced tools for optimal planning of Microgrids with high renewable energy penetration. Our models would be robust to handle uncertainty in supply, demand and technological changes. The inputs to our model would be demand, supply data (meteorological data) and technological costs for the specified location for the past. Statistical analysis of the data would empower us to develop robust probabilistic models to encompass the uncertainty in supply (wind and solar) and demand. The outcome shall be an optimal configuration of the microgrid with the number of PV, wind turbines, micro-hydro, bio mass, and storage (battery, pumped hydro etc.) to be installed to have a reliable power supply(reliability is specified by expected energy not met) in the community. Life cycle costs and other economic and environmental aspects will also be revealed as a part of the study. This would enable S2E to perform a detailed and comprehensive feasibility analysis and planning for the sustainable community.

Faculty Supervisor:

Dr. Kumaraswamy Ponnambalam

Student:

Apurva Narayan

Partner:

S2E Technologies Inc.

Discipline:

Engineering - other

Sector:

Energy

University:

University of Waterloo