{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,28]],"date-time":"2025-03-28T10:26:13Z","timestamp":1743157573497,"version":"3.40.3"},"publisher-location":"Cham","reference-count":21,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783031107658"},{"type":"electronic","value":"9783031107665"}],"license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022]]},"DOI":"10.1007\/978-3-031-10766-5_14","type":"book-chapter","created":{"date-parts":[[2022,7,21]],"date-time":"2022-07-21T14:14:51Z","timestamp":1658412891000},"page":"183-196","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Artificial Neural Network for Fault Diagnosis in Active Distribution Network"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3519-607X","authenticated-orcid":false,"given":"Syamasree Biswas","family":"Raha","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8269-3722","authenticated-orcid":false,"given":"Debasish","family":"Biswas","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2022,7,22]]},"reference":[{"issue":"5","key":"14_CR1","doi-asserted-by":"publisher","first-page":"99","DOI":"10.1109\/TSG.2021.3071871","volume":"12","author":"C Wang","year":"2021","unstructured":"Wang, C., Pang, K., Shahidehpour, M., Wen, F.: MILP-based fault diagnosis model in active power distribution networks. IEEE Trans. Smart Grid. 12(5), 99\u2013107 (2021)","journal-title":"IEEE Trans. Smart Grid."},{"key":"14_CR2","doi-asserted-by":"crossref","unstructured":"Das, T.K., Chattopadhyay, S., Das, A.: Harmonics assessment based symmetrical fault diagnosis in PV array based microgrid system. In: Chattopadhyay, S., Roy, T., Sengupta, S., Berger-Vachon, C. (eds.) Modelling and Simulation in Science, Technology and Engineering Mathematics. MS-17 2017. Advances in Intelligent Systems and Computing, vol. 749. Springer, Cham (2019). https:\/\/doi.org\/10.1007\/978-3-319-74808-5_9","DOI":"10.1007\/978-3-319-74808-5_9"},{"key":"14_CR3","doi-asserted-by":"crossref","unstructured":"Bangash, K.N., Farrag, M.E.A., Osman, A.H.: Manage reverse power flow and fault current level in LV network with high penetration of small scale solar and wind power generation. In: International Universities Power Engineering Conference (UPEC). IEEE Proceedings (2018)","DOI":"10.1109\/UPEC.2018.8541923"},{"issue":"6","key":"14_CR4","doi-asserted-by":"publisher","first-page":"115","DOI":"10.1109\/TIA.2013.2265252","volume":"49","author":"L Hadjidemetriou","year":"2013","unstructured":"Hadjidemetriou, L., Kyriakides, E., Blaabjerg, F.: A new hybrid PLL for interconnecting renewable energy systems to the grid. IEEE Trans. Ind. Appl. 49(6), 115\u2013123 (2013)","journal-title":"IEEE Trans. Ind. Appl."},{"issue":"2","key":"14_CR5","doi-asserted-by":"publisher","first-page":"953","DOI":"10.1109\/TSG.2020.3027051","volume":"12","author":"B Long","year":"2021","unstructured":"Long, B., Liao, Y., Chong, K.T., Rodr\u00edguez, J., Guerrero, J.M.: MPC-controlled virtual synchronous generator to enhance frequency and voltage dynamic performance in islanded microgrids. IEEE Trans. Smart Grid 12(2), 953\u2013964 (2021)","journal-title":"IEEE Trans. Smart Grid"},{"key":"14_CR6","doi-asserted-by":"crossref","unstructured":"Liu, B., Tang, J., Wu, X., Wang, J., Yang, C.: Analysis of Arc model and its application in single-phase grounding fault simulation in distribution networks. In: China International Conference on Electricity Distribution. IEEE (2018)","DOI":"10.1109\/CICED.2018.8592164"},{"key":"14_CR7","doi-asserted-by":"crossref","unstructured":"Guo, X., et al.: A novel current differential protection scheme for active distribution networks. In: IEEE 3rd Student Conference on Electrical Machines and Systems (SCEMS) (2020)","DOI":"10.1109\/SCEMS48876.2020.9352338"},{"key":"14_CR8","doi-asserted-by":"crossref","unstructured":"Zaabi, W., Bensalem, Y., Trabelsi, H.: Fault analysis of induction machine using finite element method (FEM). In: 15th International Conference on Sciences and Techniques of Automatic Control and Computer Engineering (STA) (2014)","DOI":"10.1109\/STA.2014.7086711"},{"key":"14_CR9","doi-asserted-by":"crossref","unstructured":"Coban, M., Tezcan, S.S.: Artificial neural network based fault location on 230 kV transmission line using voltage and current signals. In: 4th International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT) (2020)","DOI":"10.1109\/ISMSIT50672.2020.9255337"},{"key":"14_CR10","unstructured":"Hagh, M.T., Razi, K., Taghizadeh, H.: Fault classification and location of power transmission lines using artificial neural network. In: IEEE International Power Engineering Conference (2007)"},{"key":"14_CR11","doi-asserted-by":"crossref","unstructured":"Das, S., Adhikari, S.: Fuzzy logic based fault detection and classification in Unified Power Quality Conditioner (UPQC)-compensated distribution line. In: IEEE International Conference on Power Electronics, Drives and Energy Systems (PEDES) (2020)","DOI":"10.1109\/PEDES49360.2020.9379334"},{"key":"14_CR12","doi-asserted-by":"crossref","unstructured":"Chine, W., Mellit, A.: ANN-based fault diagnosis technique for photovoltaic stings. In: 5th International Conference on Electrical Engineering - Boumerdes (ICEE-B) (2017)","DOI":"10.1109\/ICEE-B.2017.8192078"},{"key":"14_CR13","doi-asserted-by":"crossref","unstructured":"Shafiei, M., Pezeshki, H., Ledwich, G., Nourbakhsh, G.: Fault detection in LV distribution networks based on augmented complex Kalman filter. In: Australasian Universities Power Engineering Conference (AUPEC) (2019)","DOI":"10.1109\/AUPEC48547.2019.211930"},{"key":"14_CR14","doi-asserted-by":"crossref","unstructured":"Sun, B., Zhang, H., Shi, F.: Machine learning based fault type identification in the active distribution network. In: IEEE 3rd Information Technology, Networking, Electronic and Automation Control Conference (ITNEC) (2019)","DOI":"10.1109\/ITNEC.2019.8729054"},{"issue":"4","key":"14_CR15","first-page":"56","volume":"56","author":"N Rezaei","year":"2020","unstructured":"Rezaei, N., Uddin, M.N., Amin, I.K., Othman, M.L., Marsadek, M.B., Hasan, M.D.: A novel hybrid machine learning classifier-based digital differential protection scheme for intertie zone of large-scale centralized DFIG-based wind farms. IEEE Trans. Ind. Appl. 56(4), 56\u201367 (2020)","journal-title":"IEEE Trans. Ind. Appl."},{"key":"14_CR16","doi-asserted-by":"crossref","unstructured":"Chen, T.: Fault Diagnosis and Fault Tolerance. Springer, Heidelberg (1992). https:\/\/doi.org\/10.1007\/978-3-642-77179-8","DOI":"10.1007\/978-3-642-77179-8"},{"key":"14_CR17","volume-title":"Power System Analysis and Design","author":"JD Glover","year":"2002","unstructured":"Glover, J.D., Sarma, M.S., Overbye, T.J.: Power System Analysis and Design, 5th edn. Cengage Learning Publishers, USA (2002)","edition":"5"},{"key":"14_CR18","doi-asserted-by":"publisher","DOI":"10.1002\/9780470512517","volume-title":"Computational Intelligence: An Introduction","author":"AP Engelbrecht","year":"2007","unstructured":"Engelbrecht, A.P.: Computational Intelligence: An Introduction, 2nd edn. Wiley, Hoboken (2007)","edition":"2"},{"key":"14_CR19","series-title":"Studies in Computational Intelligence","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-70542-8","volume-title":"Metaheuristics in Machine Learning: Theory and Applications","year":"2021","unstructured":"Oliva, D., Houssein, E.H., Hinojosa, S. (eds.): Metaheuristics in Machine Learning: Theory and Applications. SCI, vol. 967. Springer, Cham (2021). https:\/\/doi.org\/10.1007\/978-3-030-70542-8"},{"key":"14_CR20","unstructured":"Shoaib, A.S., Kundan, K., Asif, R.S., Shubash, K., Aizaz, A.S.: IEEE-9 short circuit analysis & over current relaying coordination of IEEE 9-bus system. In: International Multi-Topic ICT Conference (IMTIC). IEEE (2018)"},{"key":"14_CR21","unstructured":"Ahmed, E., Khairy, S., Mohamed, B.: Artificial neural network based fault classification and location for transmission lines. In: Conference on Power Electronics and Renewable Energy (CPERE). IEEE (2019)"}],"container-title":["Communications in Computer and Information Science","Computational Intelligence in Communications and Business Analytics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-10766-5_14","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,11,16]],"date-time":"2022-11-16T17:12:26Z","timestamp":1668618746000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-10766-5_14"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"ISBN":["9783031107658","9783031107665"],"references-count":21,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-10766-5_14","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"type":"print","value":"1865-0929"},{"type":"electronic","value":"1865-0937"}],"subject":[],"published":{"date-parts":[[2022]]},"assertion":[{"value":"22 July 2022","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"CICBA","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Computational Intelligence in Communications and Business Analytics","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Silchar","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"India","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2022","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"7 January 2022","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"8 January 2022","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"4","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"cicba2022","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.cicba.in","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"CMT","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"107","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"21","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"13","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"20% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"2.5","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}