Search group algorithm for optimal allocation of battery energy storage with renewable sources in an unbalanced distribution system

References

• Acampora, G., D. Caruso, A. Vaccaro, A. Vitiello A search group algorithm for optimal voltage regulation in power systems. In: 2016 IEEE Congress on Evolutionary Computation (CEC) . 2016 : 3662–69. doi: 10.1109/CEC.2016.7744253.
   Google Scholar
• Alanazi, M. S. 2022. A MILP model for optimal renewable wind DG allocation in smart distribution systems considering voltage stability and line loss. Alexandria Engineering Journal 61 (8):5887–901. doi:10.1016/j.aej.2021.11.017.
   Web of Science ®Google Scholar
• Albaker, A., A. Majzoobi, G. Zhao, J. Zhang, and A. Khodaei. 2018. Privacy-preserving optimal scheduling of integrated microgrids. Electric Power Systems Research 163:164–73. doi:10.1016/j.epsr.2018.06.007.
   Web of Science ®Google Scholar
• Atwa, Y. M., and E. F. El-Saadany. 2010. Optimal allocation of ESS in distribution systems with a high penetration of wind energy. IEEE Transactions on Power Systems 25 (4):1815–22. doi:10.1109/TPWRS.2010.2045663.
   Web of Science ®Google Scholar
• Baran, M. E., H. Hooshyar, Z. Shen, and A. Huang. 2012. Accommodating high PV penetration on distribution feeders. IEEE Transactions on Smart Grid 3 (2):1039–46. doi:10.1109/TSG.2012.2190759.
   Web of Science ®Google Scholar
• Barja-Martinez, S., M. Aragüés-Peñalba, Í. Munné-Collado, P. Lloret-Gallego, E. Bullich-Massagué, and R. Villafafila-Robles. 2021. Artificial intelligence techniques for enabling big data services in distribution networks: A review. Renewable and Sustainable Energy Reviews 150:111459. doi:10.1016/j.rser.2021.111459.
   Web of Science ®Google Scholar
• Fathabad, A. M., J. Cheng, K. Pan, and F. Qiu. 2020. Data-driven planning for renewable distributed generation integration. IEEE Transactions on Power Systems 35 (6):4357–68. doi:10.1109/TPWRS.2020.3001235.
   Web of Science ®Google Scholar
• Gantayet, A., and D. K. Dheer. 2021a. A data-driven approach to support voltage profiles & loss reduction in wind generator integrated active distribution network considering solid-state transformers with twofold reactive power compensation. Energy Sources, Part A: Recovery, Utilization, and Environmental Effects 0 (0):1–24. doi:10.1080/15567036.2021.2009065.
   Google Scholar
• Gantayet, A., and D. K. Dheer. 2021b. Stochastic investigation for solid-state transformer integration in distributed energy resources integrated active distribution network. International Transactions on Electrical Energy Systems 31 (11):e13056. doi:10.1002/2050-7038.13056.
   Web of Science ®Google Scholar
• Gonçalves, M. S., R. H. Lopez, and L. F. F. Miguel. 2015. Search group algorithm: A new metaheuristic method for the optimization of truss structures. Computers & Structures 153:165–84. doi:10.1016/j.compstruc.2015.03.003.
   Web of Science ®Google Scholar
• Gong, Q., and J. Lei. 2017. Operating strategy and optimal allocation of large-scale VRB energy storage system in active distribution networks for solar/wind power applications. IET Generation, Transmission & Distribution 11 (8):2403–11. doi:10.1049/iet-gtd.2016.2076.
   Google Scholar
• Grigg, C., P. Wong, P. Albrecht, R. Allan, M. Bhavaraju, R. Billinton, Q. Chen, C. Fong, S. Haddad, S. Kuruganty, et al. 1999. The IEEE reliability test system-1996. a report prepared by the reliability test system task force of the application of probability methods subcommittee. IEEE Transactions on Power Systems 14 (3):1010–20. doi:10.1109/59.780914.
   Web of Science ®Google Scholar
• Hashem, M., M. Abdel-Salam, M. T. El-Mohandes, M. Nayel, and M. Ebeed. 2021. Optimal placement and sizing of wind turbine generators and superconducting magnetic energy storages in a distribution system. Journal of Energy Storage 38:102497. doi:10.1016/j.est.2021.102497.
   Web of Science ®Google Scholar
• Huang, C., H. Zhang, Y. Song, L. Wang, T. Ahmad, and X. Luo. 2021. Demand response for industrial micro-grid considering photovoltaic power uncertainty and battery operational cost. IEEE Transactions on Smart Grid 12 (4):3043–55. doi:10.1109/TSG.2021.3052515.
   Web of Science ®Google Scholar
• Jannesar, M. R., A. Sedighi, M. Savaghebi, and J. M. Guerrero. 2018. Optimal placement, sizing, and daily charge/discharge of battery energy storage in low voltage distribution network with high photovoltaic penetration. Applied Energy 226:957–66. doi:10.1016/j.apenergy.2018.06.036.
   Web of Science ®Google Scholar
• Javaid, N., G. Hafeez, S. Iqbal, N. Alrajeh, M. S. Alabed, and M. Guizani. 2018. Energy efficient integration of renewable energy sources in the smart grid for demand side management. IEEE Access 6:77077–96. doi:10.1109/ACCESS.2018.2866461.
   Web of Science ®Google Scholar
• Kaur, M., and S. Ghosh. 2016. Network reconfiguration of unbalanced distribution networks using fuzzy-firefly algorithm. Applied Soft Computing 49:868–86. doi:10.1016/j.asoc.2016.09.019.
   Web of Science ®Google Scholar
• Kersting, W. Radial distribution test feeders. In: 2001 IEEE Power Engineering Society Winter Meeting. Conference Proceedings (Cat. No.01CH37194) ; vol. 2. 2001 : 908–12 vol.2. doi: 10.1109/PESW.2001.916993.
   Google Scholar
• Kumar, N. M., A. A. Chand, M. Malvoni, K. A. Prasad, K. A. Mamun, F. Islam, and S. S. Chopra. 2020. Distributed energy resources and the application of AI, IoT, and Blockchain in smart grids. Energies 13 (21). doi: 10.3390/en13215739.
   Web of Science ®Google Scholar
• Mohamed, A., and O. Mohammed. 2013. Real-time energy management scheme for hybrid renewable energy systems in smart grid applications. Electric Power Systems Research 96:133–43. doi:10.1016/j.epsr.2012.10.015.
   Web of Science ®Google Scholar
• Nguyen, T. T., Q. T. Nguyen, and T. T. Nguyen. 2021. Optimal radial topology of electric unbalanced and balanced distribution system using improved coyote optimization algorithm for power loss reduction. Neural Computing & Applications 33 (18):1–28. doi:10.1007/s00521-021-06175-4.
   Web of Science ®Google Scholar
• Rauf, A., M. Kassas, and M. Khalid. 2022. Data-driven optimal battery storage sizing for grid-connected hybrid distributed generations considering solar and wind uncertainty. Sustainability 14 (17). doi: 10.3390/su141711002.
   Web of Science ®Google Scholar
• Shaaban, M., M. Ahmed, M. Salama, and A. Rahimi-Kian. 2019. Optimization unit for real-time applications in unbalanced smart distribution networks. Journal of Advanced Research 20:51–60. doi:10.1016/j.jare.2019.04.001.
   PubMed Web of Science ®Google Scholar
• Singh, G., P. Baredar, A. Singh, and D. Kurup. 2017. Optimal sizing and location of PV, wind and battery storage for electrification to an island: A case study of kavaratti, lakshadweep. Journal of Energy Storage 12:78–86. doi:10.1016/j.est.2017.04.003.
   Web of Science ®Google Scholar
• Su, S. Y., C. N. Lu, R. F. Chang, and G. Gutiérrez-Alcaraz. 2011. Distributed generation interconnection planning: A wind power case study. IEEE Transactions on Smart Grid 2 (1):181–89. doi:10.1109/TSG.2011.2105895.
   Web of Science ®Google Scholar
• Thukaram, D., W. H. Banda, and J. Jerome. 1999. A robust three phase power flow algorithm for radial distribution systems. Electric Power Systems Research 50 (3):227–36. doi:10.1016/S0378-7796(98)00150-3.
   Web of Science ®Google Scholar
• Wan, C., J. Zhao, Y. Song, Z. Xu, J. Lin, and Z. Hu. 2015. Photovoltaic and solar power forecasting for smart grid energy management. CSEE Journal of Power and Energy Systems 1 (4):38–46. doi:10.17775/CSEEJPES.2015.00046.
   Google Scholar
• Wang, P., D. H. Liang, J. Yi, P. F. Lyons, P. J. Davison, and P. C. Taylor. 2014. Integrating electrical energy storage into coordinated voltage control schemes for distribution networks. IEEE Transactions on Smart Grid 5:1018–32. doi:10.1109/TSG.2013.2292530.
   Web of Science ®Google Scholar
• Wong, L. A., V. K. Ramachandaramurthy, S. L. Walker, P. Taylor, and M. J. Sanjari. 2019. Optimal placement and sizing of battery energy storage system for losses reduction using whale optimization algorithm. Journal of Energy Storage 26:100892. doi:10.1016/j.est.2019.100892.
   Web of Science ®Google Scholar
• Xing, X., L. Xie, and H. Meng. 2019. Cooperative energy management optimization based on distributed MPC in grid-connected microgrids community. International Journal of Electrical Power & Energy Systems 107:186–99. doi:10.1016/j.ijepes.2018.11.027.
   Web of Science ®Google Scholar