Sequence‐space‐aided SVM classifier for disturbance detection in series compensated transmission line

Patel, Ujjaval; Chothani, Nilesh; Bhatt, Praghnesh

doi:10.1049/iet-smt.2018.5196

Cited by 29 publications

(7 citation statements)

References 17 publications

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“…are being integrated with electrical network or grids for different applications such as Substation Automation (SA), transmission/distribution line monitoring, outage management, wide-area situational awareness (WASA), demand response, Advanced Metering Infrastructure (AMI), home energy management (HEM), PHEV, distributed energy resource (DER), power storage system, Blockchains and Asset management (AM) [25]. In this regard, several major objectives toward energy issues can be addressed such as energy saving, green [42], [43], [44], [45], [46], [47], [48], [49], [50], [51], [52], [53].…”

Section: B Concept and Perspectives Of Electrical Utility Industry 40mentioning

confidence: 99%

Intelligent Computing in Electrical Utility Industry 4.0: Concept, Key Technologies, Applications and Future Directions

et al. 2022

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Industry 4.0 (I-4.0) is referred to as 'fourth industrial revolution' towards incorporation of artificial intelligence and digitalization of industrial systems. It is meticulously associated with the development and advancement of evolving technologies such as: Internet of Things, Cyber-Physical System, Information and Communications Technology, Enterprise Architecture, and Enterprise Integration. Power systems of today face several challenges that need to be addressed and application of these technologies can make the modern power systems become more effective, reliable, secure, and cost-effective. Therefore, a widespread analysis of I-4.0 is performed in this paper and a summary of the outcomes, future scope, and real-world application of I-4.0 on the electrical utility industry (EUI) is reported by reviewing the existing literature. This report will be helpful to the investigators interested in the area of I-4.0 and for application in EUI. INDEX TERMSDigitalization, electrical utility industry, Industry 4.0, smart grid, the Internet of Things, communication infrastructure, cyber physical system. NOMENCLATURE 13 AI Artificial Intelligence. AM Asset Management. AMI Advanced Metering Infrastructure. BAN Building Area Network. CC Cloud Computing. CPPS Cyber-Physical Power System. CPS Cyber Physical System. DL Deep Learning. DMC Data Matrix Codes. Electrical industry has no relation with the first industrial18 revolution (Industry-1.0 or I-1.0). However, the second indus-19 trial revolution (I-2.0) was initiated in the 19th century after 20 the developments in the domain of electricity. The third 21 industrial revolution (I-3.0) started in the 1970's via limited 22 automation using memory-programmable controls and com-23 puters. Recently, the fourth industrial revolution (Industry-24 4.0 or I-4.0) is taking place. I-4.0 is generally characterized 25 by the application of Information and Communication Tech-26 nologies (ICTs), Internet of Things (IoT) and Cyber-Physical 27 Systems (CPS) to the industry. Several key components of 28 I-4.0 are shown in Fig. 1. 29 Proper integration of the traditional electric power system 30 with advanced information, communication, protection and 31 control technologies is one of the important developments 32 in making the modern power systems smarter. These tech-33 nologies help in providing effective solution to the challenges 34 of automation, monitoring, optimizing, and managing each 35 component of the power system [1], [2], [3]. The environ-36 mental concerns about generating electricity using fossil fuels 37 and global warming have motivated the Electrical Utility 38 Industry (EUI) towards renewable energy sources (RES).39 The main purpose of incorporating new technologies is to 40 achieve cost-effective performance of power systems with 41 good efficiency, high reliability, better flexibility, improved 42 resiliency, and high security in the presence of demand 43 response, demand-side management, plug-in hybrid electric 44 vehicles (PHEVs), RES, and plug-in electric vehicles (...

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Section: B Concept and Perspectives Of Electrical Utility Industry 40mentioning

confidence: 99%

Intelligent Computing in Electrical Utility Industry 4.0: Concept, Key Technologies, Applications and Future Directions

et al. 2022

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show abstract

“…Further, the said threshold limit is not suitable for prevention of the maloperation of distance relay during LE and VI conditions. Later on, the SVM-based discrimination technique is presented in [49] for SCTL. Though this algorithm accurately distinguishes between fault and power swing condition it requires more training data to train the SVM classifier and it will not provide satisfactory results beyond 40% compensation level of the series capacitor.…”

Section: Comparative Analysismentioning

confidence: 99%

Prevention of maloperation of distance relay under severe stressed conditions for series compensated transmission line considering optimal placement of phasor measurement units

Rao¹,

Bhalja²

2020

IET Generation, Transmission & Distribution

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“…Using admittance swing characteristic for fault detection in a unified power flow controller network has been examined in [20]. In [21], fault features are extracted using modified full-cycle DFT and classification is performed by support-vector machine (SVM) in a series capacitor compensated line. Fault detection using a new adaptive protection scheme method based on data-mining models such as decision tree and random forests for compensated transmission lines has been introduced in [22].…”

Section: Introductionmentioning

confidence: 99%

Fault detection and faulty phase(s) identification in TCSC compensated transmission lines

Fasihipour

Seyedtabaii

2020

IET Generation, Transmission & Distribution

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Sequence‐space‐aided SVM classifier for disturbance detection in series compensated transmission line

Cited by 29 publications

References 17 publications

Intelligent Computing in Electrical Utility Industry 4.0: Concept, Key Technologies, Applications and Future Directions

Intelligent Computing in Electrical Utility Industry 4.0: Concept, Key Technologies, Applications and Future Directions

Prevention of maloperation of distance relay under severe stressed conditions for series compensated transmission line considering optimal placement of phasor measurement units

Fault detection and faulty phase(s) identification in TCSC compensated transmission lines

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