This thesis presents an optimization-based approach for power flow redistribution in an electric power network to prevent ice accumulation on overhead lines. Building upon the DTRi model, which estimates the required current for conductor heating, this work focuses on the next step: computing a technically feasible and cost-efficient generator dispatch that produces the necessary current.
A Particle Swarm Optimization (PSO) algorithm is employed to adjust the active power and voltage setpoints of generators. The objective function considers current deviation, production cost, and constraint violations. To maintain solution feasibility, soft and smart constraint-handling mechanisms are implemented. The simulation is based on the IEEE 14-bus test system using the Pandapower library.
Results demonstrate that the algorithm effectively achieves the target current through the selected line while respecting all operational constraints and minimizing cost. The proposed approach complements existing weather resilience mechanisms and provides a foundation for further development.
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