Trifkovic, MilanaUmeozor, Eva Chinedu2015-09-292015-11-202015-09-292015http://hdl.handle.net/11023/2544This study presents a multi-parametric programming (MPP) based approach for energy management in microgrids. The algorithm creates operational strategies for efficient and tractable coordination of distributed energy sources in a residential level microgrid. The hybrid energy system comprises of renewable (solar photovoltaic and wind turbine), conventional systems (microturbine and utility grid connection), and battery energy storage system. The overall problem is formulated using multi-parametric mixed-integer linear programming (mp-MILP) via parameterizations of the uncertain coordinates of the wind and solar resources. This results in a bi-level optimization problem, where choice of the parameterization scheme is made at the upper level while system operation decisions are made at the lower level. The mp-MILP formulation leads to significant improvements in uncertainty management, solution quality and computational burden; by easing dependency on meteorological information and avoiding the multiple computational cycles of the traditional online optimization techniques. Results evidence the feasibility and effectiveness of MPP.engUniversity of Calgary graduate students retain copyright ownership and moral rights for their thesis. You may use this material in any way that is permitted by the Copyright Act or through licensing that has been assigned to the document. For uses that are not allowable under copyright legislation or licensing, you are required to seek permission.EnergyEngineering--System ScienceEngineering--Operations ResearchMicrogridsEnergy ManagementParameterizationOptimal Schedulingmaster thesis10.11575/PRISM/27031