Time-Domain Differential Protection Method Applied to Transmission Lines

Dantas, Daniel Texidor; Pellini, Eduardo Lorenzetti; Manassero, Giovanni

doi:10.1109/tpwrd.2018.2841342

Cited by 26 publications

(13 citation statements)

References 14 publications

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“…The local protection methods, including time-overcurrent protection, device (recloser-fuse or relay) coordination protection [11], adaptive device coordination protection [12,13], adaptive distance protection [14], time-domain differential protection [15], are the currently mainstream and effective ones because they can provide rapid and reliable protection solution by using local information, especially for radial distribution system. However, these conventional local protection methods used in radial distribution systems, are prone to miscoordination in distribution system with DGs or in flexible distribution network (FDN) because of the change in the magnitude and direction of currents during the fault period [2].…”

Section: B Previous Researchmentioning

confidence: 99%

A Fully Decentralized Multi-Agent Fault Location and Isolation for Distribution Networks With DGs

Zhang

et al. 2021

IEEE Access

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The modern distribution automation suggests to enable decentralized self-healing of distribution networks using advance metering and controlling infrastructure. Decentralized fault location and isolation, as an essential and vital component of self-healing, has attracted considerable attention over the years. In this paper, an integrated fault location and isolation strategy based on fully decentralized multiagents system (FDMAS) is presented for distribution system with distributed generators (DGs) by combining the primary protection with device failure protection (i.e., backup protection). The proposed FDMAS strategy can locate and isolate electrical fault rapidly even under device failures with minimum fault clearance time and range by using expert logical rules, meanwhile can detect and identify device failure adaptively. Furthermore, a unified programming framework is developed for generalization and application of the proposed strategy. The simulation studies are carried out on 22-bus distribution system by using dynamic model test platform. The test results show that the proposed strategy has an excellent performance on fault clearance time, fault isolation range and device failure detection. INDEX TERMS Multi-agents, device failure protection, device failure detection, distribution networks.

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Section: B Previous Researchmentioning

confidence: 99%

A Fully Decentralized Multi-Agent Fault Location and Isolation for Distribution Networks With DGs

Zhang

et al. 2021

IEEE Access

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“…Mixing of negative and positive sequence currents in (8) and (9) has made another criterion. Next criterion value can be gained by mixing zero, negative and positive sequence currents in (10) and (11). 012s 2 p 2s 1g 0s 1s…”

Section: The Proposed Algorithmmentioning

confidence: 99%

“…It is notable from (8) and (9) that in the case of a symmetric fault or transformer inrush current, positive sequence current is decreased by a proper factor and negative sequence current contribution will get bold. Equations (10) and (11) are very similar to (8) and (9), except that they are combined with zero sequence current in order to improve the detection of ground faults. The block 3 outputs are considered as inputs for block 4 in Fig.…”

Section: The Proposed Algorithmmentioning

confidence: 99%

“…Reference [9] proposes a current differential relay which uses distributed line model to consider line charging current. A time-domain protection solution based on integrated quantities is presented in [10]. The algorithm works by integrating time-domain measurements and generated signals in order to achieve stable quantities that are afterwards used for protection.…”

Section: Introductionmentioning

confidence: 99%

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A Novel Fuzzy Theory-Based Differential Protection Scheme for Transmission Lines

Abasi

Farsani

Rohani³

et al. 2020

IJIE

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Ever-increasing consumption of electrical energy has forced extension of power networks to large areas. This would raise reliability and stability problems of power networks. Hence, there is a serious need to work on protection arrangements and relays behavior for solving these problems. By suitable configuration of protection systems and using correct protection functions, negative effects of undesirable faults in power system will be decreased. In this paper, an algorithm is proposed to enhance the performance of differential relays based on the fuzzy logic systems. The algorithm is employed for the protection of short transmission lines against internal faults with/without resistance. By selecting the best stability characteristics based on fuzzy logic systems, the possibility of protection relays' malfunction will be negligible. In this algorithm, sensitivity, reliability and speed of the relay performance are preserved at suitable levels. Considerable external faults which can saturate current transformers (CTs) have been taken to account in this algorithm. This study purpose is to present an algorithm based on the fuzzy logic, which can select the best slopes for stability characteristics of a differential relay during various conditions. The presented algorithm performance has been analyzed by PSCAD/EMTDC software and compared to conventional methods. The results of fuzzy adaptive protection performance testing prove that the proposed algorithm remains fully immune to current transformer saturation during external faults. The other advantage of this algorithm bases on the fact that the scheme does not need to detect CT saturation, it processes the proposed criteria signals independently of the situation.

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“…Moreover, in the above distance or over-current backup protection, the stepped setting rules will result in ultra-long acting delay, usually 0.5s to 1.5s in practice, which seriously threatens the equipment even the system stability. Time-domain differential protection (TDP) method [18] is able to provide a secure and dependable solution with fast tripping. However, it is only applied to the primary protection of transmission lines.…”

Section: A Previous Researchmentioning

confidence: 99%

A New Differential Backup Protection Strategy for Smart Distribution Networks: A Fast and Reliable Approach

Tan

et al. 2019

IEEE Access

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The integration of distributed generations (DGs) is transforming the traditional radial single-source distribution system into a complex multi-source one which requires its related protection is able to maintain proper coordination under bidirectional power flow conditions. Although the conventional backup protection methods are effective up to a certain level of DG penetration, they are incompetent for higher service demands such as high DG penetration and protective rapidity. To deal with such a problem, a fast and reliable backup protection strategy is presented on the basis of a proposed device detection method. In the proposed backup strategy, the device failure-related backup protection is started in advance to accelerate the fault isolation by locking the failed primary protection which can be predicted by the proposed device detection method. The presented strategy possesses an excellent performance on rapidity and stability. Particularly, the fault isolation area is only expanded to the upper level circuit breaker via our protection strategy. The performance of the proposed backup strategy has been validated by the realistic system and the real-time digital simulator (RTDS) system. INDEX TERMS Backup protection, differential protection, device detection, distribution networks.

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Time-Domain Differential Protection Method Applied to Transmission Lines

Cited by 26 publications

References 14 publications

A Fully Decentralized Multi-Agent Fault Location and Isolation for Distribution Networks With DGs

A Fully Decentralized Multi-Agent Fault Location and Isolation for Distribution Networks With DGs

A Novel Fuzzy Theory-Based Differential Protection Scheme for Transmission Lines

A New Differential Backup Protection Strategy for Smart Distribution Networks: A Fast and Reliable Approach

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