Performance of Power Differential Relay With Adaptive Setting for Line Protection

Taalab, A.-M.I.; Darwish, H.A.; Ahmed, Eman S.

doi:10.1109/tpwrd.2006.877101

Cited by 43 publications

(19 citation statements)

References 7 publications

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“…2) Dependability (D): Ratio between total numbers of fault cases predicted to total numbers of actual fault cases. Table III shows the dependability comparison between the proposed scheme and power differential scheme [19] with variations in wind speed for the studied system, including UPFC and wind farm (for 4000 test cases). Here, line to ground (L-G), line to line (L-L), double line to ground (L-L-G), and three phase faults (L-L-L) are taken in to consideration.…”

Section: Performance Assessment and Discussionmentioning

confidence: 99%

“…Furthermore, the fault current contribution of wind turbines with crowbar protected DFIG affects the performance of existing current differential and pilot protection schemes as reported in [6] and [7]. 2) Other types of differential protection schemes available in literature are the power differential protection schemes [18], [19]. In case of wind farm, the wind speed variation results in real power (P) output fluctuation throughout a day [5].…”

Section: Drawbacks Of Conventional Differentialmentioning

confidence: 99%

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Data-Mining-Based Intelligent Differential Relaying for Transmission Lines Including UPFC and Wind Farms

Jena

Samantaray

2016

IEEE Trans. Neural Netw. Learning Syst.

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This paper presents a data-mining-based intelligent differential relaying scheme for transmission lines, including flexible ac transmission system device, such as unified power flow controller (UPFC) and wind farms. Initially, the current and voltage signals are processed through extended Kalman filter phasor measurement unit for phasor estimation, and 21 potential features are computed at both ends of the line. Once the features are extracted at both ends, the corresponding differential features are derived. These differential features are fed to a data-mining model known as decision tree (DT) to provide the final relaying decision. The proposed technique has been extensively tested for single-circuit transmission line, including UPFC and wind farms with in-feed, double-circuit line with UPFC on one line and wind farm as one of the substations with wide variations in operating parameters. The test results obtained from simulation as well as in real-time digital simulator testing indicate that the DT-based intelligent differential relaying scheme is highly reliable and accurate with a response time of 2.25 cycles from the fault inception.

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Section: Performance Assessment and Discussionmentioning

confidence: 99%

Section: Drawbacks Of Conventional Differentialmentioning

confidence: 99%

Data-Mining-Based Intelligent Differential Relaying for Transmission Lines Including UPFC and Wind Farms

Jena

Samantaray

2016

IEEE Trans. Neural Netw. Learning Syst.

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“…Power Differential Protection (PDP) [17] signals a new era for protection schemes, which successfully ensure wide area protection with large contingencies. The PDP based transmission line [18] protection is also well-known among the researchers. On the other hand, Current Differential Protection (CDP) scheme requires phase compensation [19].…”

Section: Introductionmentioning

confidence: 99%

Real-Time Monitoring & Adaptive Protection of Power Transformer to Enhance Smart Grid Reliability

Raichura

Chothani

Patel

2019

Electrical, Control and Communication Engineering

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Power transformer is one of the most important pieces of equipment in the grid to reliably and efficiently transmit power to the consumers. Asset management and protection are the best concepts for prolongation of transformer lifespan as well as for the increase of grid reliability. This article presents electrical and non-electrical parameter-based power transformer monitoring and protection. Various data such as core flux, age of asset, heat generation, current harmonics and temperature are monitored in real time and processed accordingly to enhance the working capability of the transformer. The proposed scheme is successfully tested on 15 kVA laboratory transformer using Arm CORTEX-M4 processor. A Fitness Function (Ff) is estimated from the collected data to examine the working condition of the transformer. Moreover, voltage, current and power-based inrush detection as well as Adaptive Power Differential Protection (APDP) are applied to protect the transformer against fault. The hardware implementation and result validation prove the effectiveness of the proposed scheme in enhancing reliability of the distribution grid.

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“…Sensitivity, selectivity and reliability of the conventional current differential protection are affected and limited by the presence of distributed capacitances along transmission lines, especially in high-voltage long transmission lines [5,6]. These problems are resolved by a newer version of differential protection based on the active and reactive powers measured at the both line ends [7][8][9][10][11]. Power differential protection is a pilot protection scheme introduced to prevent the disadvantages of current differential protection in the presence of capacitive charging current.…”

Section: Introductionmentioning

confidence: 99%

Protection of transmission lines using fault component integrated power

Bolandi

Seyedi

Hashemi

2014

IET Generation, Transmission & Distribution

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In this study, a novel scheme is proposed for pilot protection of transmission line based on the fault component integrated power (FCIP). An appropriate definition is proposed for FCIP. The proposed scheme is able to quickly discriminate the normal condition, internal fault and external fault situations, even in severe operating and emergency conditions. This FCIP-based scheme is not affected by the line charging capacitive and, therefore it does not need to be compensated for the capacitive current. Hence, this novel pilot protection scheme, based on FCIP, can be used for long distance high-voltage transmission lines. The faulty phase/phases can also be detected by the proposed scheme. Moreover, compared with a newlyintroduced protective scheme which is based on the fault component integrated impedance, the proposed FCIP-based scheme has faster operation speed. The efficiency of the proposed protective scheme is evaluated and approved over extensive simulation studies.

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Performance of Power Differential Relay With Adaptive Setting for Line Protection

Cited by 43 publications

References 7 publications

Data-Mining-Based Intelligent Differential Relaying for Transmission Lines Including UPFC and Wind Farms

Data-Mining-Based Intelligent Differential Relaying for Transmission Lines Including UPFC and Wind Farms

Real-Time Monitoring & Adaptive Protection of Power Transformer to Enhance Smart Grid Reliability

Protection of transmission lines using fault component integrated power

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