A backup wide‐area protection technique for power transmission network

Elghazaly, Hany; Emam, Ahmed; Saber, Ahmed

doi:10.1002/tee.22456

Cited by 8 publications

(3 citation statements)

References 33 publications

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“…Authors in [23] exhibited a method for the back-up protection of transmission lines by utilizing synchro phasor estimations with a smaller number of PMUs contrasted with conventional wide-area protection methods [23]. Various techniques to discriminate stressed events from fault occasions and avoid zone-3 maloperation by using PMUs are presented in [24][25][26][27][28][29][30][31][32].…”

Section: Imentioning

confidence: 99%

“…Based on parameters like voltage, angle, frequency, and damping data from WAMS, fuzzy logic and ground-breaking techniques have been presented for avoiding relay malfunctions at the time of a power swing [31][32][33][34][35]. However, the drawback of the fuzzy logic based method is that it utilizes explicit knowledge base fuzzy rules and gives insufficient details about the fault-symptom relationship.…”

Section: Imentioning

confidence: 99%

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Classification of Electrical Power System Conditions with Convolutional Neural Networks

Kiruthika¹,

Bindu²

2020

Eng. Technol. Appl. Sci. Res.

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Undesirable operation of a distant relay at the occurrence of stressed conditions is a reason for blackouts. There are a few computational intelligent methods available in the literature for avoiding relay maloperations. However, because of variations in the system parameters and expansions of the network, the performance of these techniques can be degraded. To solve this issue, data mining approaches have been introduced. The existing data mining approaches need improvement in terms of accuracy and error rate while discriminating fault and stressed conditions. In this paper, a Convolutional Neural Network (CNN) based classifier is proposed for identifying various faults and differentiating fault and power swing situations. The data are collected from the IEEE-9 bus system by Phasor Measurement Units (PMU) and the proposed CNN classifier model classifies system conditions like normal, fault, and power swing. The outcome shows that the classifier has high accuracy and low error rate compared to other classification models such as Naïve Bayes, Decision Tree, and K-Nearest Neighbor. Furthermore, the proposed CNN model is validated with the use of TensorFlow framework to demonstrate its superior performance.

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Section: Imentioning

confidence: 99%

Section: Imentioning

confidence: 99%

Classification of Electrical Power System Conditions with Convolutional Neural Networks

Kiruthika¹,

Bindu²

2020

Eng. Technol. Appl. Sci. Res.

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“…These methods include monitoring the suitability of relay characteristics [93]. Elghazaly et al [94] propose a wide‐area backup protection technique for transmission lines using a limited number of PMUs.…”

Section: Protection Schemes Using Wamsmentioning

confidence: 99%

Challenges and novel solution for wide‐area protection due to renewable sources integration into smart grid: an extensive review

Eissa

2018

IET Renewable Power Generation

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Wide-area protection and control (WAPAC) is a new technology in the smart grid system. The high penetration of wind farms in power systems is likely to have an adverse impact on the relay operation even if the short-circuit current in such systems decays rapidly due to crowbar resistance. By including various renewable sources, and information and communication technology components, the power grid will become more complex. Approaches based on wide-area monitoring system (WAMS) are developed to solve the current challenges of the future of high renewable resources penetration. This study provides the latest main components of the WAMS architecture and the innovation in WAPAC research development using phasor measurement units (PMUs). As the extensive article review in this area is given that show no solution until now for widearea protection in case of high wind farm penetration. A new wide-area protection based on PMUs is deployed. The main concept is based on describing by differential equations the dynamic operation of the transmission lines. In case of faults, the equations become non-linear and become difficult to be solved. This is the first time to develop such an idea to identify the protected faulted zone and guarantees sustainability for the power flow.

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