Stochastic MILP Model for Merging EV Charging Stations with Active Distribution System Expansion Planning by considering Uncertainties

References

• M. S. Alam and S. A. Arefifar, “Hybrid PSO-TS based distribution system expansion planning for system performance improvement considering energy management,” IEEE Access, vol. 8, pp. 221599–221611, 2020. DOI: 10.1109/ACCESS.2020.3043391.
   Web of Science ®Google Scholar
• B. Singh and P. K. Dubey, “Distributed power generation planning for distribution networks using electric vehicles: systematic attention to challenges and opportunities,” J. Energy Storage, vol. 48, pp. 104030, Apr. 2022. DOI: 10.1016/j.est.2022.104030.
   Web of Science ®Google Scholar
• J. Driesen, K. Clement-Nyns and E. Haesen, “The impact of charging PHEVs on a residential distribution grid,” IEEE Trans. Power Syst., vol. 25, no. 1, pp. 371–380, 2010. DOI: 10.1109/TPWRS.2009.2036481.
   Web of Science ®Google Scholar
• N. A. El-Taweel, H. Farag, M. F. Shaaban and M. E. AlSharidah, “Optimization model for EV charging stations with PV farm transactive energy,” IEEE Trans. Ind. Inf., vol. 18, no. 7, pp. 4608–4621, 2022. DOI: 10.1109/TII.2021.3114276.
   Web of Science ®Google Scholar
• P. Zare, I. F. Davoudkhani, R. Zare, H. Ghadimi, B. Sabery and A. B. Bork Abad, “Investigating the impacts of electric vehicles on iran’s distribution network,” 2023 8th International Conference on Technology and Energy Management (ICTEM), 2023, pp. 1–6. DOI: 10.1109/ICTEM56862.2023.10083993.
   Google Scholar
• L. Baringo, L. Boffino and G. Oggioni, “Robust expansion planning of a distribution system with electric vehicles, storage and renewable units,” Appl. Energy, vol. 265, pp. 114679, 2020. DOI: 10.1016/j.apenergy.2020.114679.
   Web of Science ®Google Scholar
• J. Liu, T. Zhang, J. Zhu and T. Ma, “Allocation optimization of electric vehicle charging station (EVCS) considering with charging satisfaction and distributed renewables integration,” Energy, vol. 164, pp. 560–574, 2018. DOI: 10.1016/j.energy.2018.09.028.
   Web of Science ®Google Scholar
• A. S. C. Martins, L. R. de Araujo and D. R. R. Penido, “Sensibility analysis with genetic algorithm to allocate distributed generation and capacitor banks in unbalanced distribution systems,” Electric Power Syst. Res., vol. 209, pp. 107962, 2022. DOI: 10.1016/j.epsr.2022.107962.
   Web of Science ®Google Scholar
• P. Zare, I. F. Davoudkhani, R. Zare, H. Ghadimi and R. Mohajery, “Multi-objective optimization for simultaneous optimal sizing & placement of DGs and D-STATCOM in distribution networks using artificial rabbits optimization,” 2023 10th Iranian Conference on Renewable Energy and Distributed Generation, ICREDG 2023, 2023. DOI: 10.1109/ICREDG58341.2023.10092092.
   Google Scholar
• A. Naderipour, et al., “Spotted hyena optimizer algorithm for capacitor allocation in radial distribution system with distributed generation and microgrid operation considering different load types,” Sci. Rep., vol. 11, no. 1, pp. 2728, Feb. 2021. Scientific Reports 2021 11:115, DOI: 10.1038/s41598-021-82440-9.
   PubMed Web of Science ®Google Scholar
• P. Zare, I. F. Davoudkhani, R. Mohajery, R. Zare, H. Ghadimi and M. Ebtehaj, “Multi-objective coordinated optimal allocation of distributed generation and D-STATCOM in electrical distribution networks using Ebola optimization search algorithm,” 2023 8th International Conference on Technology and Energy Management (ICTEM), 2023. IEEE, pp. 1–7. DOI: 10.1109/ICTEM56862.2023.10084121.
   Google Scholar
• S. S. Taheri, S. J. Seyed-Shenava and M. Modiri-Delshad, “Transmission network expansion planning under wind farm uncertainties using Cuckoo search algorithm,” 2014.
   Google Scholar
• Y. Li, B. Feng, B. Wang and S. Sun, “Joint planning of distributed generations and energy storage in active distribution networks: a Bi-Level programming approach,” Energy, vol. 245, pp. 123226, 2022. DOI: 10.1016/j.energy.2022.123226.
   Web of Science ®Google Scholar
• M.-A. Hamidan and F. Borousan, “Optimal planning of distributed generation and battery energy storage systems simultaneously in distribution networks for loss reduction and reliability improvement,” J. Energy Storage, vol. 46, pp 103844, 2022. DOI: 10.1016/j.est.2021.103844.
   Web of Science ®Google Scholar
• F. Borousan and M.-A. Hamidan, “Distributed power generation planning for distribution network using chimp optimization algorithm in order to reliability improvement,” Electric Power Syst. Res., vol. 217, pp. 109109, 2023. DOI: 10.1016/j.epsr.2022.109109.
   Web of Science ®Google Scholar
• K. Balu and V. Mukherjee, “Optimal allocation of electric vehicle charging stations and renewable distributed generation with battery energy storage in radial distribution system considering time sequence characteristics of generation and load demand,” J. Energy Storage, vol. 59, pp. 106533, 2023. DOI: 10.1016/j.est.2022.106533.
   Web of Science ®Google Scholar
• G. Memarzadeh and F. Keynia, “A new hybrid CBSA-GA optimization method and MRMI-LSTM forecasting algorithm for PV-ESS planning in distribution networks,” J. Energy Storage, vol. 72, pp. 108582, 2023. DOI: 10.1016/j.est.2023.108582.
   Google Scholar
• S. M. R. H. Shawon, X. Liang and M. Janbakhsh, “Optimal placement of distributed generation units for microgrid planning in distribution networks,” IEEE Trans. Ind. Appl., vol. 59, no. 3, pp. 2785–2795, 2023. DOI: 10.1109/TIA.2023.3236363.
   Web of Science ®Google Scholar
• K. Chellappan, V. S. S. C. S. Murty, N. Krishnan, G. Sharma and T. Senjyu, “Real power loss minimization considering multiple DGs and battery in distribution system,” Electric Power Components Syst., vol. 49, no. 6–7, pp. 563–572, 2022. DOI: 10.1080/15325008.2021.2011488.
   Web of Science ®Google Scholar
• A. Fathy, D. Yousri, H. Rezk and H. S. Ramadan, “An efficient capuchin search algorithm for allocating the renewable based biomass distributed generators in radial distribution network,” Sustain. Energy Technol. Assess., vol. 53, pp. 102559, 2022. DOI: 10.1016/j.seta.2022.102559.
   Web of Science ®Google Scholar
• N. B. Arias, A. Tabares, J. F. Franco, M. Lavorato and R. Romero, “Robust joint expansion planning of electrical distribution systems and EV charging stations,” IEEE Trans. Sustain. Energy, vol. 9, no. 2, pp. 884–894, 2018. DOI: 10.1109/TSTE.2017.2764080.
   Web of Science ®Google Scholar
• A. Ehsan and Q. Yang, “Active distribution system reinforcement planning with EV charging stations–Part II: numerical results,” IEEE Trans. Sustain. Energy, vol. 11, no. 2, pp. 979–987, 2020. DOI: 10.1109/TSTE.2019.2915383.
   Web of Science ®Google Scholar
• P. M. de Quevedo, G. Muñoz-Delgado and J. Contreras, “Joint expansion planning of distribution networks, EV charging stations and wind power generation under uncertainty,” 2017 IEEE Power & Energy Society General Meeting, 2017. IEEE, pp. 1–5.
   Google Scholar
• S. Wang, et al., “A stochastic collaborative planning approach for electric vehicle charging stations and power distribution system,” IEEE Power and Energy Society General Meeting, 2016. vol. DOI: 10.1109/PESGM.2016.7741442.
   Google Scholar
• A. Tabares, J. F. Franco, M. Lavorato and M. J. Rider, “Multistage long-term expansion planning of electrical distribution systems considering multiple alternatives,” IEEE Trans. Power Syst., vol. 31, no. 3, pp. 1900–1914, May 2016. DOI: 10.1109/TPWRS.2015.2448942.
   Web of Science ®Google Scholar
• J. Liao, R. Wang, S. Xia, L. Ren and T. Wang, “Joint planning of distribution network and electric vehicle charging station considering extreme weather events,” J. Phys. Conf. Series IOP Publishing, 2022, p., pp. 012006. DOI: 10.1088/1742-6596/2276/1/012006.
   Google Scholar
• Y. Tao, J. Qiu, S. Lai, X. Sun and J. Zhao, “Adaptive Integrated Planning of Electricity Networks and Fast Charging Stations Under Electric Vehicle Diffusion,” IEEE Trans. Power Syst, vol. 38, no. 1, pp. 499–513, 2023. DOI: 10.1109/TPWRS.2022.3167666.
   Web of Science ®Google Scholar
• Y. Xiang, et al., “Distributionally robust expansion planning of electric vehicle charging system and distribution networks,” CSEE J. Power Energy Syst., pp. 1–12, 2023. DOI: 10.17775/CSEEJPES.2021.08540.
   Google Scholar
• A. Pal, A. Bhattacharya and A. K. Chakraborty, “Planning of EV charging station with distribution network expansion considering traffic congestion and uncertainties,” IEEE Trans. Ind. Appl., vol. 59, no. 3, pp. 3810–3825, 2023. DOI: 10.1109/TIA.2023.3237650.
   Web of Science ®Google Scholar
• W. Yang, W. Liu, C. Y. Chung and F. Wen, “Joint planning of EV fast charging stations and power distribution systems with balanced traffic flow assignment,” IEEE Trans. Ind. Inf., vol. 17, no. 3, pp. 1795–1809, 2020. DOI: 10.1109/TII.2020.2995742.
   Web of Science ®Google Scholar
• M. A. Mejia, L. H. Macedo, G. Munoz-Delgado, J. Contreras and A. Padilha-Feltrin, “Multistage planning model for active distribution systems and electric vehicle charging stations considering voltage-dependent load behavior,” IEEE Trans. Smart Grid, vol. 13, no. 2, pp. 1383–1397, Mar. 2022. DOI: 10.1109/TSG.2021.3125786.
   Web of Science ®Google Scholar
• P. M. de Quevedo, G. Muñoz-Delgado and J. Contreras, “Impact of electric vehicles on the expansion planning of distribution systems considering renewable energy, storage, and charging stations,” IEEE Trans. Smart Grid, vol. 10, no. 1, pp. 794–804, 2019. DOI: 10.1109/TSG.2017.2752303.
   Web of Science ®Google Scholar
• A. Ehsan and Q. Yang, “Active distribution system reinforcement planning with EV charging stations—Part I: uncertainty modeling and problem formulation,” IEEE Trans. Sustain. Energy, vol. 11, no. 2, pp. 970–978, 2020. DOI: 10.1109/TSTE.2019.2915338.
   Web of Science ®Google Scholar
• M. Alilou, B. Tousi and H. Shayeghi, “Multi-objective energy management of smart homes considering uncertainty in wind power forecasting,” Electr. Eng., vol. 103, no. 3, pp. 1367–1383, 2021. DOI: 10.1007/s00202-020-01165-6.
   Web of Science ®Google Scholar
• A. Ehsan and Q. Yang, “State-of-the-art techniques for modelling of uncertainties in active distribution network planning: a review,” Appl. Energy, vol. 239, pp. 1509–1523, 2019. DOI: 10.1016/j.apenergy.2019.01.211.
   Web of Science ®Google Scholar
• Z. Liu, F. Wen and G. Ledwich, “Optimal siting and sizing of distributed generators in distribution systems considering uncertainties,” IEEE Trans. Power Delivery, vol. 26, no. 4, pp. 2541–2551, 2011. DOI: 10.1109/TPWRD.2011.2165972.
   Web of Science ®Google Scholar
• I. F. Davoudkhani, A. Dejamkhooy and S. A. Nowdeh, “A novel cloud-based framework for optimal design of stand-alone hybrid renewable energy system considering uncertainty and battery aging,” Appl. Energy, vol. 344, pp. 121257, Aug. 2023. DOI: 10.1016/j.apenergy.2023.121257.
   Web of Science ®Google Scholar
• S. Arabi Nowdeh, A. Naderipour, I. Faraji Davoudkhani and J. M. Guerrero, “Stochastic optimization—based economic design for a hybrid sustainable system of wind turbine, combined heat, and power generation, and electric and thermal storages considering uncertainty: A case study of Espoo, Finland,” Renew. Sustain. Energy Rev., vol. 183, pp. 113440, Sep. 2023. DOI: 10.1016/j.rser.2023.113440.
   Web of Science ®Google Scholar
• I. Abouzahr and R. Ramakumar, “An approach to assess the performance of utility-interactive wind electric conversion systems,” IEEE Trans. On Energy Conver., vol. 6, no. 4, pp. 627–638, 1991. DOI: 10.1109/60.103635.
   Web of Science ®Google Scholar
• V. Miranda, J. V. Ranito and L. M. Proenca, “Genetic algorithms in optimal multistage distribution network planning,” IEEE Trans. Power Syst., vol. 9, no. 4, pp. 1927–1933, 1994. DOI: 10.1109/59.331452.
   Web of Science ®Google Scholar
• M. Lavorato, M. J. Rider, A. V. Garcia and R. Romero, “A constructive heuristic algorithm for distribution system planning,” IEEE Trans. Power Syst., vol. 25, no. 3, pp. 1734–1742, Aug. 2010. DOI: 10.1109/TPWRS.2009.2038164.
   Web of Science ®Google Scholar
• E. Naderi, H. Seifi and M. S. Sepasian, “A dynamic approach for distribution system planning considering distributed generation,” IEEE Trans. Power Deliv., vol. 27, no. 3, pp. 1313–1322, 2012. DOI: 10.1109/TPWRD.2012.2194744.
   Web of Science ®Google Scholar
• S. F. Santos, et al., “Novel multi-stage stochastic DG investment planning with recourse,” IEEE Trans. Sustain. Energy, vol. 8, no. 1, pp. 164–178, 2017. DOI: 10.1109/TSTE.2016.2590460.
   Web of Science ®Google Scholar