Placement And Sizing of Renewable Energy Sources Using Improve Wind Driven Optimization (IWDO) Algorithm to Solve Power and Voltage Profile Problems Considering IEEE 30 Bus Network

Bayraktar, Z., Komurcu, M., & Werner, D. H. (2010, July). Wind Driven Optimization (WDO): A novel nature-inspired optimization algorithm and its application to electromagnetics. In 2010 IEEE antennas and propagation society international symposium (pp. 1-4). IEEE. Bouchekara, H. R. E. H., Chaib, A. E., & Abido, M. A. (2016). Multiobjective optimal power flow using a fuzzy based grenade explosion method. Energy Systems, 7, 699-721. Chamanbaz, M., Dabbene, F., & Lagoa, C. (2017). AC optimal power flow in the presence of renewable sources and uncertain loads. arXiv preprint arXiv:1702.02967. Farhat, M., Kamel, S., Atallah, A. M., & Khan, B. (2021). Optimal power flow solution based on jellyfish search optimization considering uncertainty of renewable energy sources. IEEE Access, 9, 100911-100933. Farhat, M., Kamel, S., Atallah, A. M., & Khan, B. (2022). Developing a marine predator algorithm for optimal power flow analysis considering uncertainty of renewable energy sources. International Transactions on Electrical Energy Systems, 2022. Khamees, A. K., Badra, N., & Abdelaziz, A. Y. (2016). Optimal power flow methods: A comprehensive survey. International Electrical Engineering Journal (IEEJ), 7(4), 2228 Khamees, A. K., El-Rafei, A., Badra, N. M., & Abdelaziz, A. Y. (2017). Solution of optimal power flow using evolutionary-based algorithms. International Journal of Engineering, Science and Technology, 9(1), 55-68. Khamees, A. K., Abdelaziz, A. Y., Eskaros, M. R., Attia, M. A., & Sameh, M. A. (2022). Optimal power flow with stochastic renewable energy using three mixture component distribution functions. Sustainability, 15(1), 334. Liu, Y., Zhang, S., Jiang, Y., Wang, D., Gu, Q., & Zhang, Z. (2021). Improved wind driven optimization algorithm for the optimization of hydropower generation from a reservoir. Journal of Hydroinformatics, 23(6), 1197-1213. Reddy, S. S., Bijwe, P. R., & Abhyankar, A. R. (2014). Real-time economic dispatch considering renewable power generation variability and uncertainty over scheduling period. IEEE Systems journal, 9(4), 1440-1451. Riaz, M., Hanif, A., Masood, H., Khan, M. A., Afaq, K., Kang, B. G., & Nam, Y. (2021). An optimal power flow solution of a system integrated with renewable sources using a hybrid optimizer. Sustainability, 13(23), 13382. Shaheen, M. A., Hasanien, H. M., Turky, R. A., ?alasan, M., Zobaa, A. F., & Abdel Aleem, S. H. (2021). Opf of modern power systems comprising renewable energy sources using improved chgs optimization algorithm. Energies, 14(21), 6962. Shaheen, M. A., Ullah, Z., Qais, M. H., Hasanien, H. M., Chua, K. J., Tostado-Véliz, M., ... & Elkadeem, M. R. (2022). Solution of probabilistic optimal power flow incorporating renewable energy uncertainty using a novel circle search algorithm. Energies, 15(21), 8303. Zhou, W., Peng, Y., & Sun, H. (2011). Optimal wind–thermal coordination dispatch based on risk reserve constraints. European Transactions on Electrical Power, 21(1), 740-756. Zhou, Y., Bao, Z., Wang, R., Qiao, S., & Zhou, Y. (2015). Quantum wind driven optimization for unmanned combat air vehicle path planning. Applied sciences, 5(4), 1457- Balasubbareddy, M. (2022). Optimal power flow solution using ameliorated ant lion optimization algorithm. International Journal of Mechanical Engineering, 13(1), 1060.