Simulated Annealing-Based Optimization of IEEE-33 Radial Distribution Networks with Integrated Auxiliary PV Sources Using PyPower
DOI:
https://doi.org/10.56294/dm2025821Keywords:
Transformer optimization, Simulated annealing, Distribution networks, IEEE 33-bus, Power losses, Voltage regulationAbstract
The integration of distributed photovoltaic (PV) generation in radial distribution networks has been consolidated as a key strategy to reduce technical losses and improve voltage profiles. However, the optimal placement and sizing of these sources remain a challenge due to the nonlinear and multimodal nature of the problem. In this work, an approach based on simulated annealing with adaptive restarts, implemented in PyPower, is proposed to determine the optimal location of PV units in the IEEE 33-bus test system. The methodology considers the minimization of active power losses as the objective function, subject to operational constraints and voltage limits.
The results show that the proposed strategy achieves a reduction in losses of up to 52% compared to the base scenario, in addition to improving minimum voltage profiles to values close to 0.98 pu. The comparison with non-optimized scenarios highlights the effectiveness of the method in balancing energy efficiency and quality of service. This study contributes to the literature by demonstrating the applicability of lightweight metaheuristics in distribution network planning problems and lays the groundwork for future research integrating storage and dynamic load and generation scenarios.
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Copyright (c) 2025 Francisco Roberto Naranjo Cobo, Julio Esteban Guerra Masson, Daisy Imbaquingo Esparza (Author)
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