{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T15:44:41Z","timestamp":1743003881534,"version":"3.40.3"},"publisher-location":"Cham","reference-count":18,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031730573"},{"type":"electronic","value":"9783031730580"}],"license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025]]},"DOI":"10.1007\/978-3-031-73058-0_26","type":"book-chapter","created":{"date-parts":[[2025,1,2]],"date-time":"2025-01-02T08:45:05Z","timestamp":1735807505000},"page":"323-336","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Multi-scenario Based Optimal Allocation of\u00a0Ultra-Fast Electric Vehicle Charging Station in\u00a0the\u00a0Distribution Network"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1398-2096","authenticated-orcid":false,"given":"Sharmistha","family":"Nandi","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1585-6517","authenticated-orcid":false,"given":"Sriparna Roy","family":"Ghatak","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1792-6681","authenticated-orcid":false,"given":"Parimal","family":"Acharjee","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2967-627X","authenticated-orcid":false,"given":"Fernando","family":"Lopes","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2025,1,3]]},"reference":[{"key":"26_CR1","doi-asserted-by":"publisher","first-page":"170","DOI":"10.1016\/j.trpro.2023.11.016","volume":"70","author":"D Zambrano-Prada","year":"2023","unstructured":"Zambrano-Prada, D., et al.: Electrical architecture for ultrafast charging station. Transp. Res. Procedia 70, 170\u2013177 (2023). https:\/\/doi.org\/10.1016\/j.trpro.2023.11.016","journal-title":"Transp. Res. Procedia"},{"key":"26_CR2","doi-asserted-by":"publisher","unstructured":"Nandi, S., Ghatak, S.R., Acharjee, P., Lopes, F.: Non-iterative, unique, and logical formula-based technique to determine maximum load multiplier and practical load multiplier for both transmission and distribution systems. Energies 16(12), 4724 (2023). https:\/\/doi.org\/10.3390\/en16124724","DOI":"10.3390\/en16124724"},{"key":"26_CR3","doi-asserted-by":"publisher","unstructured":"Tiwari, D., Ghatak, S.R.: Performance enhancement of distribution system using optimal allocation of distributed generation and DSTATCOM. In: 2017 International Conference on Innovative Mechanisms for Industry Applications (ICIMIA), Bengaluru, India, pp. 533\u201353. IEEE, Feburary 2017. https:\/\/doi.org\/10.1109\/ICIMIA.2017.7975516","DOI":"10.1109\/ICIMIA.2017.7975516"},{"key":"26_CR4","doi-asserted-by":"publisher","unstructured":"Ahmad, F., Iqbal, A., Asharf, I., Marzband, M., Khan, I.: Placement and capacity of EV charging stations by considering uncertainties with energy management strategies. IEEE Trans. Ind. Appl. 59(3), 3865\u20133874 (2023). https:\/\/doi.org\/10.1109\/TIA.2023.3253817","DOI":"10.1109\/TIA.2023.3253817"},{"key":"26_CR5","doi-asserted-by":"publisher","unstructured":"Pal, A., Bhattacharya, A., Chakraborty, A. K.: Allocation of electric vehicle charging station considering uncertainties. Sustain. Energy Grids Netw. 25, 100422 (2021). https:\/\/doi.org\/10.1016\/j.segan.2020.100422","DOI":"10.1016\/j.segan.2020.100422"},{"issue":"4","key":"26_CR6","doi-asserted-by":"publisher","first-page":"4457","DOI":"10.1109\/TSG.2018.2860783","volume":"10","author":"Q Yang","year":"2019","unstructured":"Yang, Q., Sun, S., Deng, S., Zhao, Q., Zhou, M.: Optimal sizing of PEV fast charging stations with Markovian demand characterization. IEEE Trans. Smart Grid 10(4), 4457\u20134466 (2019). https:\/\/doi.org\/10.1109\/TSG.2018.2860783","journal-title":"IEEE Trans. Smart Grid"},{"issue":"4","key":"26_CR7","doi-asserted-by":"publisher","first-page":"1452","DOI":"10.1109\/TSTE.2016.2547891","volume":"7","author":"X Dong","year":"2016","unstructured":"Dong, X., Mu, Y., Jia, H., Wu, J., Yu, X.: Planning of fast EV charging stations on a round freeway. IEEE Trans. Sustain. Energy 7(4), 1452\u20131461 (2016). https:\/\/doi.org\/10.1109\/TSTE.2016.2547891","journal-title":"IEEE Trans. Sustain. Energy"},{"key":"26_CR8","doi-asserted-by":"publisher","unstructured":"Jamatia, P., Bhattacharjee, S., Sharma, S.: Optimal allocation of EV charging station in distribution network. In: 2022 4th International Conference on Energy, Power and Environment (ICEPE), Shillong, India, IEEE, pp. 1\u20136, April 2022. https:\/\/doi.org\/10.1109\/ICEPE55035.2022.9798348","DOI":"10.1109\/ICEPE55035.2022.9798348"},{"key":"26_CR9","doi-asserted-by":"publisher","unstructured":"Lazari, V., Chassiakos, A.: Multi-objective optimization of electric vehicle charging station deployment using genetic algorithms. Appl. Sci. 13(8), 4867 (2023). https:\/\/doi.org\/10.3390\/app13084867","DOI":"10.3390\/app13084867"},{"key":"26_CR10","doi-asserted-by":"publisher","unstructured":"Kumar, E.V., Raaja, G.S., Jerome, J.: Adaptive PSO for optimal LQR tracking control of 2 DoF laboratory helicopter. Appl. Soft Comput. 41, 77\u201390 (2016). https:\/\/doi.org\/10.1016\/j.asoc.2015.12.023","DOI":"10.1016\/j.asoc.2015.12.023"},{"key":"26_CR11","doi-asserted-by":"publisher","unstructured":"Ghatak, S.R., Acharjee, P.: Optimal allocation of DG using exponentential PSO with reduced search space. In:: 2016 Second International Conference on Computational Intelligence and Communication Technology (CICT), Ghaziabad, India, IEEE, pp. 489\u201349, February 2016. https:\/\/doi.org\/10.1109\/CICT.2016.103","DOI":"10.1109\/CICT.2016.103"},{"key":"26_CR12","doi-asserted-by":"publisher","unstructured":"Arias, N.B., Tabares, A., Franco, J.F., Lavorato, M., Romero, R.: Expansion planning of electrical distribution systems and EV charging stations. IEEE Trans. Sustain. Energy 9(2), 884\u2013894 (2018). https:\/\/doi.org\/10.1109\/TSTE.2017.2764080","DOI":"10.1109\/TSTE.2017.2764080"},{"key":"26_CR13","doi-asserted-by":"publisher","unstructured":"Sannigrahi, S., Ghatak, S. R., Acharjee, P.: Fuzzy logic-based rooted tree optimization algorithm for strategic incorporation of DG and DSTATCOM. Int. Trans. Electr. Energy Syst. 29(8) (2019). https:\/\/doi.org\/10.1002\/2050-7038.12031","DOI":"10.1002\/2050-7038.12031"},{"key":"26_CR14","doi-asserted-by":"publisher","unstructured":"Sharma, S., Niazi, K.R., Verma, K., Rawat, T.: Coordination of different DGs, BESS and demand response for multi-objective optimization of distribution network with special reference to Indian power sector. Int. J. Electr. Power Energy Syst. 121, 106074 (2020). https:\/\/doi.org\/10.1016\/j.ijepes.2020.106074","DOI":"10.1016\/j.ijepes.2020.106074"},{"key":"26_CR15","doi-asserted-by":"publisher","unstructured":"Ni, X., Lo, K.L.: A methodology to model daily charging load in the EV charging stations based on Monte Carlo simulation. In: 2020 International Conference on Smart Grid and Clean Energy Technologies (ICSGCE), IEEE, Kuching, Malaysia, pp. 125\u2013130, October 2020. https:\/\/doi.org\/10.1109\/ICSGCE49177.2020.9275644","DOI":"10.1109\/ICSGCE49177.2020.9275644"},{"key":"26_CR16","doi-asserted-by":"publisher","unstructured":"Sannigrahi, S., Ghatak, S.R., Acharjee, P.: Point estimate method based distribution system planning using MOPSO technique. In: 2020 IEEE International Conference on Power Electronics, Smart Grid and Renewable Energy (PESGRE2020), Cochin, India, IEEE, pp. 1\u20136, January 2020. https:\/\/doi.org\/10.1109\/PESGRE45664.2020.9070380","DOI":"10.1109\/PESGRE45664.2020.9070380"},{"key":"26_CR17","unstructured":"\u201cNational Travel Survey\u201d. https:\/\/www.gov.uk\/government\/collections\/national-travel-survey-statistics. Accessed 31 Mar 2024"},{"key":"26_CR18","doi-asserted-by":"publisher","unstructured":"Nandi, S., Ghatak, S.R., Acharjee, P.: Placement of EV fast charging station in distribution system based on voltage stability index strategy. In: 2022 IEEE 6th International Conference on Condition Assessment Techniques in Electrical Systems (CATCON), Durgapur, India, IEEE, pp. 46\u201351, December 2022. https:\/\/doi.org\/10.1109\/CATCON56237.2022.10077648","DOI":"10.1109\/CATCON56237.2022.10077648"}],"container-title":["Communications in Computer and Information Science","Highlights in Practical Applications of Agents, Multi-Agent Systems, and Digital Twins: The PAAMS Collection"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-73058-0_26","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,1,2]],"date-time":"2025-01-02T09:05:18Z","timestamp":1735808718000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-73058-0_26"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"ISBN":["9783031730573","9783031730580"],"references-count":18,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-73058-0_26","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"type":"print","value":"1865-0929"},{"type":"electronic","value":"1865-0937"}],"subject":[],"published":{"date-parts":[[2025]]},"assertion":[{"value":"3 January 2025","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"PAAMS","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Practical Applications of Agents and Multi-Agent Systems","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Salamanca","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Spain","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2024","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"25 June 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"27 June 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"22","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"paams2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.paams.net\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}