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- W2980217178 abstract "An optimal energy management strategy for a remote, off-grid Hybrid Renewable Energy System (HRES) in Northern Canada is presented. The proposed control strategy aims at optimizing the day-ahead operational plan to achieve minimized costs and emissions. Particle Swarm Optimization (PSO) is deployed to solve the underlying optimization problem. Special attention is given to enhance the operational efficacy of the oversized diesel generators. Two dispatching strategies are evaluated under the proposed operational optimization platform. Several case studies considering different seasons are presented. The results confirm the robust performance of the proposed method in achieving the intended objectives of day-ahead energy management." @default.
- W2980217178 created "2019-10-18" @default.
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- W2980217178 date "2019-08-01" @default.
- W2980217178 modified "2023-10-17" @default.
- W2980217178 title "Operational Optimization of a Remote Off-Grid Hybrid Renewable Energy System in Northern Canada" @default.
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- W2980217178 doi "https://doi.org/10.1109/sege.2019.8859885" @default.
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