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008 201017s2021 si | s |||| 0|eng d
020 _a9789811584657
_9978-981-15-8465-7
024 7 _a10.1007/978-981-15-8465-7
_2doi
050 4 _aTK5101-5105.9
072 7 _aTJK
_2bicssc
072 7 _aTEC041000
_2bisacsh
072 7 _aTJK
_2thema
082 0 4 _a621.382
_223
100 1 _aPatel, Ujjaval.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_947343
245 1 0 _aFuturistic Trends in Numerical Relaying for Transmission Line Protections
_h[electronic resource] /
_cby Ujjaval Patel, Praghnesh Bhatt, Nilesh Chothani.
250 _a1st ed. 2021.
264 1 _aSingapore :
_bSpringer Nature Singapore :
_bImprint: Springer,
_c2021.
300 _aXXI, 146 p. 60 illus., 48 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aEnergy Systems in Electrical Engineering,
_x2199-8590
505 0 _aChapter 1: Transmission Line Protection Philosophy -- Chapter 2: Transmission Line Protection: Issues & Research Needs -- Chapter 3: Adaptive Numerical Distance Relaying Scheme -- Chapter 4: Discrimination Between Power Swing and Line Fault Based on Voltage and Reactive Power Sensitivity -- Chapter 5: Sequence-space Aided Disturbance Classifier Scheme Based on Support Vector Machine -- Chapter 6: Auto-reclosure Scheme with Adaptive Dead Time Control Based on Synchro-check Principle -- Chapter 7: Summary.
520 _aThis book presents the state-of-the-art approach for transmission line protection schemes for smart power grid. It provides a comprehensive solution for real-time development of numerical relaying schemes for future power grids which can minimize cascade tripping and widespread blackout problems prevailing all around the world. The book also includes the traditional approach for transmission line protection along with issues and challenges in protection philosophy. It highlights the issues for sheltering power grid from unwanted hazards with very fundamental approach. The book follows a step-by-step approach for resolving critical issues like high impedance faults, power swing detection and auto-reclosing schemes with adaptive protection process. The book also covers the topic of hardware solution for real-time implementation of auto-reclosing scheme for transmission line protection schemes along with comparative analysis with the recently developed analytical approach such as Artificial Neural Network (ANN), Support Vector Machine (SVM) and other machine learning algorithms. It will be useful to researchers and industry professionals and students in the fields of power system protection.
650 0 _aTelecommunication.
_910437
650 0 _aElectronic circuits.
_919581
650 1 4 _aCommunications Engineering, Networks.
_931570
650 2 4 _aElectronic Circuits and Systems.
_947344
700 1 _aBhatt, Praghnesh.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_947345
700 1 _aChothani, Nilesh.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_947346
710 2 _aSpringerLink (Online service)
_947347
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9789811584640
776 0 8 _iPrinted edition:
_z9789811584664
776 0 8 _iPrinted edition:
_z9789811584671
830 0 _aEnergy Systems in Electrical Engineering,
_x2199-8590
_947348
856 4 0 _uhttps://doi.org/10.1007/978-981-15-8465-7
912 _aZDB-2-ENG
912 _aZDB-2-SXE
942 _cEBK
999 _c78019
_d78019