A Classification Approach Using Support Vector Machines to Prevent Distance Relay Maloperation Under Power Swing and Voltage Instability

Seethalekshmi, K.; Singh, S. N.; Srivastava, Suresh C.

doi:10.1109/tpwrd.2011.2174808

Cited by 127 publications

(80 citation statements)

References 15 publications

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“…IEEE-39 bus system (400 kV) is opted for case study, as shown in Fig. 11 [15]. All ten conventional generators (G1 to G10) generators and transmission lines are modelled in the similar way as in case-I.…”

Section: Resultsmentioning

confidence: 99%

“…2. WSCC-9 bus system with three load buses modeled as constant power has been taken for case study [15]. The transmission lines parameters are taken as presented in reference [22].…”

Section: Proposed Fault Monitoring Methodology Based On Epfamentioning

confidence: 99%

“…Backup monitoring systems based on PMUs are being developed and tested across the globe. Major functionalities of such remote backup monitoring system are detecting and classifying the transmission line faults occurred in a power grid [12][13][14][15].…”

Section: Introductionmentioning

confidence: 99%

“…Major research works are enumerated here. Fault classification scheme based on SVMs for preventing incorrect operation of conventional distance relays was presented in reference [15]. However, the paper does not discuss about discrimination of faulty phases.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Remote monitoring system for real time detection and classification of transmission line faults in a power grid using PMU measurements

Gopakumar

Mallikarjuna

Reddy

et al. 2018

Prot Control Mod Power Syst

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Remote monitoring of transmission lines of a power system is significant for improved reliability and stability during fault conditions and protection system breakdowns. This paper proposes a smart backup monitoring system for detecting and classifying the type of transmission line fault occurred in a power grid. In contradiction to conventional methods, transmission line fault occurred at any locality within power grid can be identified and classified using measurements from phasor measurement unit (PMU) at one of the generator buses. This minimal requirement makes the proposed methodology ideal for providing backup protection. Spectral analysis of equivalent power factor angle (EPFA) variation has been adopted for detecting the occurrence of fault that occurred anywhere in the grid. Classification of the type of fault occurred is achieved from the spectral coefficients with the aid of artificial intelligence. The proposed system can considerably assist system protection center (SPC) in fault localization and to restore the line at the earliest. Effectiveness of proposed system has been validated using case studies conducted on standard power system networks.

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Section: Resultsmentioning

confidence: 99%

“…2. WSCC-9 bus system with three load buses modeled as constant power has been taken for case study [15]. The transmission lines parameters are taken as presented in reference [22].…”

Section: Proposed Fault Monitoring Methodology Based On Epfamentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Remote monitoring system for real time detection and classification of transmission line faults in a power grid using PMU measurements

Gopakumar

Mallikarjuna

Reddy

et al. 2018

Prot Control Mod Power Syst

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“…Phasor-assisted state estimation (Sodhi et al, 2010b) Dynamic phasor estimation (Banerjee and Srivastava, 2012) Machine rotor angle estimation using phasor measurements for transient stability prediction (Tripathy et al, 2010) WAMS-based critical mode identification for small signal stability assessment and control (Tripathy et al, 2011) Synchrophasor-based voltage stability assessment (Sodhi et al, 2012) Optimal frequency and voltage stability based load shedding (Seethalekshmi et al, 2011a) Wide area measurement based adaptive distance protection (Seethalekshmi et al, 2011b;Seethalekshmi et al, 2012) Model validation and wide area control (Padhy et al, 2012) Some of the above analytics are being developed in-house for implementation in the URTDSM system in India.…”

Section: Smart Transmission Grid Using Synchro-phasor Technologymentioning

confidence: 99%

Electrical power transmission and energy management system

Sen¹

2015

Proceedings of the Indian National Science Academy

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Electrical power transmission system forms an important part of the electricity network required to transfer bulk amount of power produced at remotely located generating stations to the load centres. In most of the countries, including India, the electricity sector has a vast interconnected system of generation, transmission and distribution network, which requires modern computer-aided operation and control system. Such a system is called 'Energy Management System (EMS)', conventionally based on Supervisory Control and Data Acquisition (SCADA) features. With the recent development of dielectric as well as conducting materials, power electronic devices, information technology and automation system, a new class of transmission and control equipment is being used and the energy management system is also being modernized. Recent blackouts in India and other countries have prompted the use of Wide Area Monitoring Control and Protection System (WAMCPS) based on synchrophasor technology for real time monitoring of dynamic states and security of the system. This paper describes the present status and future developments in the electrical power transmission, energy management system, and emerging technologies, specifically in the Indian context.

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A real‐time fault detection and classification algorithm for transmission line faults based on MODWT during power swing

Ashok

Yadav

2019

Int Trans Electr Energ Syst

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Summary An exploration of the faulty signal of three‐phase overhead transmission lines can provide versatile information about the presence of fault during power swing (PS) and its type in a specific time domain to accustom protective relaying scheme for real‐time application. In this paper, an illustrative feature extraction technique, maximal overlap discrete wavelet transform (MODWT), has been used to extract the attributes from the faulty signals during PS condition. The standard deviated values of the MODWT coefficients of the current signals only have been used as input features for fault detection and classification in an Indian power transmission network. The proposed scheme is based on a fault triangle with different fault planes. The performance of the proposed scheme has been assessed with real‐time field fault data using “Wavewin” software environment and further appraised with other existing schemes too. Moreover, the proposed scheme is not affected by zero sequence mutual impedance between the two inductively coupled parallel circuits and independent of communication latency affect because it employs one terminal data only.

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A Classification Approach Using Support Vector Machines to Prevent Distance Relay Maloperation Under Power Swing and Voltage Instability

Cited by 127 publications

References 15 publications

Remote monitoring system for real time detection and classification of transmission line faults in a power grid using PMU measurements

Remote monitoring system for real time detection and classification of transmission line faults in a power grid using PMU measurements

Electrical power transmission and energy management system

A real‐time fault detection and classification algorithm for transmission line faults based on MODWT during power swing

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