Minimizing Demand Transmission Service Charges in Optimal Sizing and Scheduling Of Campus Microgrids
Date
2019-01-25
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Abstract
Microgrids have paved the way through the exploitation of distributed generation resources and eliminating the requisite of high-duty transmission infrastructure. The study presented in this thesis develops a two-stage optimization problem for the optimal sizing and operation of campus/institutional microgrids considering delivery charges. At the first stage, a mixed integer linear programming (MILP) is implemented to determine the optimal configuration of microgrid which consists of solar Photo-Voltaics (PVs), batteries and microturbines (MTs). The incorporation of delivery charges leads to a significant reduction in transmission charges without sacrificing the power exchange limit. Resulted savings on electricity bill grants the capital investment in microgrid components. In the second stage, a mixed integer non-linear programming (MINLP) on a rolling horizon basis is formulated for the optimal operation of the microgrid under sizing results obtained in the first stage. Moreover, an efficient Peak Load (PL) hour forecast framework is established to minimize the coincident PL charges. Both volatile and flat electricity price scenarios are studied to investigate the impact of electricity prices on microgrid optimal sizing and operation. In order to test the proposed methodology, University of Calgary main campus is selected as the case study and historical hourly load data are used.
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Karami, M. (2019). Minimizing Demand Transmission Service Charges in Optimal Sizing and Scheduling Of Campus Microgrids (Master's thesis, University of Calgary, Calgary, Canada). Retrieved from https://prism.ucalgary.ca.