@article{Claro de Oliveira_Yumbla Romero_do Carmo Yamaguti_Home Ortiz_Sanches Mantovani_2023, title={Probabilistic Optimal Power Flow in Large-Scale Electric Transmission Systems through a Matheuristic Solution Approach}, volume={21}, url={https://latamt.ieeer9.org/index.php/transactions/article/view/7133}, abstractNote={<p>This paper proposes a new optimization methodology to solve the AC optimal power flow (OPF) problem considering renewable energy sources (RES). The formulation of the OPF problem comprises the minimization of power generation costs and gas emissions considering a set of operational and physical constraints. This minimization is achieved through controlling power dispatch generators, position changing of the tap transformers, and controllable reactive shunt compensation. RES and demand uncertainties are modeled using the (2m+1) point-estimate method. The mathematical formulation of the OPF problem is a mixed-integer nonlinear programming multiobjective model. A matheuristic algorithm is proposed to solve this problem efficiently, combining a classic nonlinear OPF model and the Variable Neighborhood Descent (VND) metaheuristic algorithm. The potential of the proposed algorithm is shown through numerical experiments carried out using the IEEE 300-bus systems.</p>}, number={10}, journal={IEEE Latin America Transactions}, author={Claro de Oliveira, Wmerson and Yumbla Romero, Jairo Gonzalo and do Carmo Yamaguti, Lucas and Home Ortiz, Juan Manuel and Sanches Mantovani, Jose Roberto}, year={2023}, month={Sep.}, pages={1132–1143} }