1. Alvarez-Bustos, A., Kazemtabrizi, B., Shahbazi, M., and Acha-Daza, E. (2021). Universal branch model forthe solution of optimal power flows in hybrid AC/DC grids.International Journal of Electrical Power & EnergySystems, 126:106543. doi:https://doi.org/10.1016/j.ijepes.2020.106543.Bukhsh, W., Edmunds, C., and Bell, K. (2020). OATS: Optimisation and Analysis Toolbox for Power Systems.IEEE Transactions on Power Systems, 35(5):3552–3561. doi:10.1109/TPWRS.2020.2986081.Castro Rico, J. E., Anzola Bustos, D. A., and Giral, D. (2019).Software en Matlab para el flujo óptimo clásico para eldespacho hidrotérmico. PhD thesis, Universidad Distrital Francisco José de Caldas.Chaudhary, R., Sethi, S., Keshari, R., and Goel, S. (2012). A study of comparison of Network Simulator -3 andNetwork Simulator -2.International Journal of Computer Science and Information Technologies.Chen, H., Ngan, H., and Zhang, Y. (2016).Power system optimization: large-scale complex systems approaches. JohnWiley & Sons.Cuffe, P. (2020).Optimization and Visualization Tools for Situational Awareness in Highly RenewablePower Systems.In2020 6th IEEE International Energy Conference (ENERGYCon), pages 930–933.doi:10.1109/ENERGYCon48941.2020.9236524.
2. Das, J. C. (2017).Load flow optimization and optimal power flow. Crc Press.Grisales-Noreña, L. F., Garzón-Rivera, O. D., Ocampo-Toro, J. A., Ramos-Paja, C. A., and Rodriguez-Cabal, M. A.(2020). Metaheuristic Optimization Methods for Optimal Power Flow Analysis in DC Distribution Networks.Transactions on Energy Systems and Engineering Applications, 1(1):13–31. doi:10.32397/tesea.vol1.n1.2.Hasan, F., Kargarian, A., and Mohammadi, A. (2020). A survey on applications of machine learning for optimalpower flow. In2020 IEEE Texas Power and Energy Conference, TPEC 2020. doi:10.1109/TPEC48276.2020.9042547.Ilyas, A. M., Suyuti, A., Gunadin, I. C., and Siswanto, A. (2020). Optimal Power Flow the Sulselrabar 150 KVsystem before and after the penetration of wind power plants considering power loss and generation costs.IOP Conference Series: Materials Science and Engineering, 850:12030. doi:10.1088/1757-899x/850/1/012030.Ma, X. and Elia, N. (2019). Optimization Dynamics: A Bus-Level Distributed Approach for Optimal PowerFlows.IEEE Transactions on Control of Network Systems, 6(2):642–652. doi:10.1109/TCNS.2018.2864140.Montoya, O. D. (2017). Solving a Classical Optimization Problem Using GAMS Optimizer Package: EconomicDispatch Problem Implementation.Ingeniería y Ciencia, 13(26):39–63. doi:10.17230/ingciencia.13.26.2.Pinheiro, R. B. N. M., Nepomuceno, L., and Balbo, A. R. (2020).Solving large-scale reactive optimalpower flow problems by a primal–dual M2BF approach.Optimization and Engineering, 21(2):485–515.doi:10.1007/s11081-019-09451-4.Thurner, L., Scheidler, A., Schäfer, F., Menke, J., Dollichon, J., Meier, F., Meinecke, S., and Braun, M. (2018).Pandapower—An Open-Source Python Tool for Convenient Modeling, Analysis, and Optimization of ElectricPower Systems.IEEE Transactions on Power Systems, 33(6):6510–6521. doi:10.1109/TPWRS.2018.2829021.Wood, A. J., Wollenberg, B. F., and Sheblé, G. B. (2013).Power generation, operation, and control. John Wiley &Sons.
3. Alvarez-Bustos, A., Kazemtabrizi, B., Shahbazi, M., and Acha-Daza, E. (2021). Universal branch model forthe solution of optimal power flows in hybrid AC/DC grids.International Journal of Electrical Power & EnergySystems, 126:106543. doi:https://doi.org/10.1016/j.ijepes.2020.106543.
4. Bukhsh, W., Edmunds, C., and Bell, K. (2020). OATS: Optimisation and Analysis Toolbox for Power Systems.IEEE Transactions on Power Systems, 35(5):3552–3561. doi:10.1109/TPWRS.2020.2986081.
5. Castro Rico, J. E., Anzola Bustos, D. A., and Giral, D. (2019).Software en Matlab para el flujo óptimo clásico para eldespacho hidrotérmico. PhD thesis, Universidad Distrital Francisco José de Caldas.