An extended ANN-based high speed accurate distance protection algorithm

Sanaye‐Pasand, M.; Khorashadi-Zadeh, H.

doi:10.1016/j.ijepes.2006.01.003

Cited by 44 publications

(17 citation statements)

References 11 publications

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“…Multi-layer perceptron (MLPs) neural networks were also used for determination of faults in the distribution networks. Applications of neural network for protection of distribution networks in DER connected scenario were also discussed in the [64].…”

Section: Fuzzy and Neural Network Based Methodsmentioning

confidence: 99%

“…In these papers, a novel adaptive non-pilot over current protection scheme is presented, which utilizes the steady state fault currents for maintain the sable protection coordination. In [83], a non-adaptive relaying scheme is discussed, which utilised the fault current limiter (FCL) to locally limit the DER fault current during fault conditions and Intelligent distance to over current relay coordination [62,64] Performs the coordination operation of distance and over current relays…”

Section: General Protection Schemesmentioning

confidence: 99%

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Protection coordination in distribution systems with and without distributed energy resources- a review

Singh

2017

Prot Control Mod Power Syst

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Emission of greenhouse gases and depletion of fossil fuel reserves are two key drivers, which are forcing the mankind to generate the future energy demand from the renewable energy resources. These resources are generally distributed in nature and are directly integrated at distribution levels. Increasing penetration of the distributed energy resources in distribution power networks creates additional operational and control issues. These are mostly regulatory, economical load dispatching, power quality and protection issues. Generally power distribution systems are protected with the help of dedicated over current based protection schemes. But increasing share of distributed energy resources penetration in electric utilities poses a serious threat to the existing protection coordination schemes of the distribution systems. Distributed energy resources connected distribution networks become interconnected in nature and protection coordination schemes, which are designed for unidirectional flow of fault currents become ineffective/non-functional. Therefore, new protection coordination schemes are required for providing the adequate protection coordination for distributed energy resources connected electric power networks. In the available literature, the protection coordination schemes for radial distribution systems and developments in the area of protection coordination are discussed in detail. A thorough review for all these protection coordination schemes for distribution systems with and without distributed energy resources is done in this review article. It includes the analytical and artificial intelligence based techniques application for coordination of protective relays in the distribution systems. The limitations and research gaps in the area of protection coordination schemes are also presented in this review article. The aim of this research paper is to bring all the available research in the area of relay coordination on one platform, so that it will help the emerging researcher to identify the future scope of relay coordination application for distributed energy resources connected distribution systems.

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Section: Fuzzy and Neural Network Based Methodsmentioning

confidence: 99%

Section: General Protection Schemesmentioning

confidence: 99%

Protection coordination in distribution systems with and without distributed energy resources- a review

Singh

2017

Prot Control Mod Power Syst

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“…Fast and high accurate classification of occurred faults with high reliability is necessary for these techniques because recent fault distance protection schemes utilize the results obtained from fault classification. For example, in ANN-based fault location [1]-[4] and distance protection [5]- [7], the fault classifier performs an important role for enabling the corresponding ANN. Also, the accuracy of fuzzy and fuzzy neural-network-based fault location approaches is highly dependent on the fault classifier operation [8]- [11].…”

Section: Imentioning

confidence: 99%

Fuzzy Logic Based Fault Classification Scheme for Digital Distance Protection

Sahu¹

2017

IJRASET

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Abstract-In this paper, a fuzzy logic-based fault classification scheme for transmission lines is proposed. The classification procedure is carried out by only post fault current phasor of three phases of the transmission line. The proposed technique is able to classify all the possible types of faults including single-phase to ground, two-phases, two-phases to ground and threephase faults with high accuracy. In addition, this method can identify the faulted phase(s) from non-faulted phase ( I.INTRODUCTION Along with other electrical components, the transmission line suffers from the unexpected failures due to various faults. Protecting of transmission lines is most important task to safeguard electric power systems. For safe operation of transmission line systems, the protection systems should be able to detect, classify, locate accurately and clear the fault as fast as possible to maintain stability in the network. The protective systems are required to prevent the propagation of these faults in the system. The occurrence of any transmission line faults gives rise to the transient condition which may lead to the instability of the system. The purpose of a protective relaying system is to detect all theabnormal signals indicating faults on a transmission system. After detection of the fault, the faulted part should be isolated from the rest of the system to prevent the fault propagation into healthy parts.Transmission line relaying involves three major tasks: fault detection, fault classification and fault location. Fast detection of a transmission line fault enables quick isolation of the faulty line from service and protects it from the transient effects of the fault. Recent protection schemes are based on artificial intelligence (AI) based systems such as artificial neural network (ANN), neurofuzzy and fuzzy logic approaches. Fast and high accurate classification of occurred faults with high reliability is necessary for these techniques because recent fault distance protection schemes utilize the results obtained from fault classification. For example, in ANN-based fault location [1]-[4] and distance protection [5]- [7], the fault classifier performs an important role for enabling the corresponding ANN. Also, the accuracy of fuzzy and fuzzy neural-network-based fault location approaches is highly dependent on the fault classifier operation [8]- [11]. In addition to fault distance location, the ANN and Fuzzy Logic based schemes are also usable in fault classification successfully. The ANN-based approaches are quite accurate in estimating the correct fault type, however, the entire fault and operating conditions such as fault resistance (Rf), fault inception angle (FIA), fault location, system pre-fault load, etc. must be trained for a good performance. Also, ANN has the shortcoming of implicit knowledge representation. On the other hand, the key benefit of fuzzy logic is that the representation of its knowledge is explicit, using simple "If-Then" relations. Also, the fuzzy logic systems are subjective and he...

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“…Because of the nonlinear behaviour of activation function, a numerical method is required to solve these nonlinearities. The back propagation method is based on steepest descent approach and is extensively used for training known as Levenberg-Marquardt algorithm with trainlm command [12]. .…”

Section: Feed Forward Networkmentioning

confidence: 99%

Fault Identification and Classification in Transmission Line by Ann Technique Using Levenberg-Marquardt Algorithms

2017

IJAERD

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An extended ANN-based high speed accurate distance protection algorithm

Cited by 44 publications

References 11 publications

Protection coordination in distribution systems with and without distributed energy resources- a review

Protection coordination in distribution systems with and without distributed energy resources- a review

Fuzzy Logic Based Fault Classification Scheme for Digital Distance Protection

Fault Identification and Classification in Transmission Line by Ann Technique Using Levenberg-Marquardt Algorithms

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