This thesis focuses on the optimization of isolated microgrid sizing, with the primary objective of enhancing system resilience while maintaining cost efficiency. Isolated microgrids, often deployed in remote or off-grid areas, are vital for ensuring reliable energy supply where connection to a central grid is unfeasible. Traditional optimization methods for microgrids predominantly focus on economic and operational efficiency, often neglecting resilience. The research proposes a novel resilience metric defined as the ratio between the actual supplied energy and the overall requested energy, offering a holistic measure of a microgrid’s ability to meet demand under various conditions. A mixed-integer linear programming (MILP) model is developed to optimize the microgrid configuration by minimizing fuel consumption, energy curtailment, and loss of load. Multiple configurations are tested through simulations to assess the trade-offs between resilience and cost efficiency.
This thesis focuses on the optimization of isolated microgrid sizing, with the primary objective of enhancing system resilience while maintaining cost efficiency. Isolated microgrids, often deployed in remote or off-grid areas, are vital for ensuring reliable energy supply where connection to a central grid is unfeasible. Traditional optimization methods for microgrids predominantly focus on economic and operational efficiency, often neglecting resilience. The research proposes a novel resilience metric defined as the ratio between the actual supplied energy and the overall requested energy, offering a holistic measure of a microgrid’s ability to meet demand under various conditions. A mixed-integer linear programming (MILP) model is developed to optimize the microgrid configuration by minimizing fuel consumption, energy curtailment, and loss of load. Multiple configurations are tested through simulations to assess the trade-offs between resilience and cost efficiency.
Optimization of Isolated Microgrid Sizing for Enhanced Resilience Using a Price-Oriented Approach
PACCHIARINI, LUCA
2023/2024
Abstract
This thesis focuses on the optimization of isolated microgrid sizing, with the primary objective of enhancing system resilience while maintaining cost efficiency. Isolated microgrids, often deployed in remote or off-grid areas, are vital for ensuring reliable energy supply where connection to a central grid is unfeasible. Traditional optimization methods for microgrids predominantly focus on economic and operational efficiency, often neglecting resilience. The research proposes a novel resilience metric defined as the ratio between the actual supplied energy and the overall requested energy, offering a holistic measure of a microgrid’s ability to meet demand under various conditions. A mixed-integer linear programming (MILP) model is developed to optimize the microgrid configuration by minimizing fuel consumption, energy curtailment, and loss of load. Multiple configurations are tested through simulations to assess the trade-offs between resilience and cost efficiency.| File | Dimensione | Formato | |
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https://hdl.handle.net/20.500.14239/33229