This work is licensed under the Creative Commons Attribution 4.0 International License.
Hasan, Mehrjerdi. (2019). Simultaneous load leveling and voltage profile improvement in distribution networks by optimal battery storage planning. Energy, 181.Search in Google Scholar
Tant, J., Geth, F., Six, D., et al. (2018). Multiobjective battery storage to improve PV integration in residential distribution grids. IEEE Transactions on Sustainable Energy, 4(1), 182-191.Search in Google Scholar
Nguyen, S., Peng, W., Sokolowski, P., et al. (2018). Optimizing rooftop photovoltaic distributed generation with battery storage for peer-to-peer energy trading. Applied Energy, 228, 2567-2580.Search in Google Scholar
Dai, J. (2023). Management and control optimization based on deep learning model. 3c Empresa: investigación y pensamiento crítico, 12(1), 37-49.Search in Google Scholar
Pena-Bello, A., Barbour, E., Gonzalez, M. C., Patel, M. K., & Parra, D. (2019). Optimized PV-coupled battery systems for combining applications: Impact of battery technology and geography. Renewable and Sustainable Energy Reviews, 112.Search in Google Scholar
Sedghi, M., Ahmadian, A., & Aliakbar-Golkar, M. (2015). Optimal Storage Planning in Active Distribution Network Considering Uncertainty of Wind Power Distributed Generation. IEEE Transactions on Power Systems, 31(1), 304-316.Search in Google Scholar
Amrollahi, M. H., Bathaee, S. M. T. (2017). Techno-economic optimization of hybrid photovoltaic/wind generation together with energy storage system in a stand-alone micro-grid subjected to demand response. Applied energy, 202, 66-77.Search in Google Scholar
Li, Y., Vilathgamuwa, M., Choi, S. S., Xiong, B., & Wang, Y. (2020). Design of minimum cost degradation-conscious lithium-ion battery energy storage system to achieve renewable power dispatchability. Applied Energy, 260.Search in Google Scholar
Das, C. K., Bass, O., Kothapalli, G., et al. (2018). Optimal placement of distributed energy storage systems in distribution networks using artificial bee colony algorithm. Applied energy, 232, 212-228.Search in Google Scholar
Aghdam, F. H., Ghaemi, S., & Kalantari, N. T. (2018). Evaluation of loss minimization on the energy management of multi-microgrid based smart distribution network in the presence of emission constraints and clean productions. Journal of Cleaner Production, 196Search in Google Scholar
Kim, J., Dvorkin, Y. (2018). Enhancing distribution system resilience with mobile energy storage and microgrids. IEEE Transactions on Smart Grid, 10(5), 4996-5006.Search in Google Scholar
Yavuz Ates, Mehmet Uzunoglu, Arif Karakas, et al. (2016). Implementation of adaptive relaycoordination in distribution systems including distributed generation. Journal of Cleaner Production, 112.Search in Google Scholar
Cebulla, F., Naegler, T., Pohl, M. (2017). Electrical energy storage in highly renewable European energy systems: Capacity requirements, spatial distribution, and storage dispatch. Journal of Energy Storage, 14, 211-223.Search in Google Scholar
Giannitrapani, A., Paoletti, S., Vicino, A., et al. (2016). Optimal allocation of energy storage systems for voltage control in LV distribution networks. IEEE Transactions on Smart Grid, PP (99), 1-1.Search in Google Scholar
Elizabeth, L., Steven, R., Christopher, M. (2016). Central versus localized optimization-based approaches to power management in distribution networks with residential battery storage. International Journal of Electrical Power and Energy Systems, 80.Search in Google Scholar
Awasthi, A., Venkitusamy, K., Padmanaban, S., et al. (2017). Optimal planning of electric vehicle charging station at the distribution system using hybrid optimization algorithm. Energy, 133(aug.15), 70-78.Search in Google Scholar
Crossland, A. F., Jones, D., & Wade, N. S. (2014). Planning the location and rating of distributed energy storage in LV networks using a genetic algorithm with simulated annealin. Electrical Power and Energy Systems, (59), 103-110.Search in Google Scholar