Impact of high levels of series compensation on line distance protection

Hoq, Tanbhir; Taylor, Nathaniel

doi:10.1049/cp.2020.0037

Cited by 8 publications

(3 citation statements)

References 3 publications

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“…First, delay associated with relay operation results in uncertainty in voltage protection. Second, to ensure quick tripping from both ends, it is necessary to employ a communication link between the relays at the two ends of the line [5]. Relay communication links provide a cyber threat when relays are connected to substation local area networks (LANs).…”

Section: Introductionmentioning

confidence: 99%

Advanced Fault Detection, Classification, and Localization in Transmission Lines: A Comparative Study of ANFIS, Neural Networks, and Hybrid Methods

Kanwal,

Jiriwibhakorn

2024

IEEE Access

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Electric systems are getting more complex with time, and primitive protection methods such as traveling wave and impedance-based methods face limitations and shortcomings. This paper incorporates and presents the applications of an adaptive neuro-fuzzy inference system and compares it with a back propagation neural network, self-organizing map, and hybrid method of discrete wavelet with adaptive neuro-fuzzy inference system for fault detections, classification, and localization in transmission lines. These methods, in comparison with primitive methods, could be capable of detecting, identifying, and predicting the location of the faults more accurately. The IEEE 9-bus system is utilized to obtain data from one end of the transmission line to develop an ANFIS-based model. This system is simulated in MATLAB/Simulink for different fault cases at various locations. The three-phase voltage and current at one end of IEEE 9-bus number seven are taken for training. Three ANFIS models are developed for fault detection, classification, and localization and compared with other models. For verification of the models, mean square error, mean absolute error, and regression analysis have been computed and compared for all the models. All four techniques have performed well for fault classification, detection, and location. However, the percentage error for the ANFIS-based fault model is less compared to backpropagation, self-organizing map, and discrete wavelet transform with ANFIS. Therefore, the proposed ANFIS models can be implemented for deploying in real-time-based protection systems.

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Section: Introductionmentioning

confidence: 99%

Advanced Fault Detection, Classification, and Localization in Transmission Lines: A Comparative Study of ANFIS, Neural Networks, and Hybrid Methods

Kanwal,

Jiriwibhakorn

2024

IEEE Access

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“…However, the presence of series capacitors inhibits the capabilities of distance relays [3], [4]. Series capacitors reduce the dependability and reliability of distance protection relays [5], [6]. Higher levels of compensation make these problems even more severe [7].…”

Section: Introductionmentioning

confidence: 99%

An incremental quantity based protection with capacitor voltage estimation for mid-line series compensation

2022

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Series capacitors are installed in transmission lines to increase power transfer capacity. However, their addition creates challenges for the line protection. Security and speed of phasor based protection sc hemes that work with local measurements (communication independent) are severely affected in the presence of series capacitors. Therefore, time -domain based protection methods may be considered as a potential solution for communication independent protection of series compensated lines. In this paper, an incremental quantity based protection scheme is presented for series compensated lines with the capacitor in the middle of the line. The method involves estimating the voltage across the capacitor bank, based on the current in the capacitor bank and metal oxide varistor during faults . Then this capacitor voltage estimation is used to implement the incremental quantity protection. The incremental quantity method consists of fault detection, phase selection, directional discrimination and distance estimation. A PSCAD model of a 500 kV, 200 km transmission line is used to simulate fault cases for evaluating the method. The proposed method is tested with different compensation levels, fault types, fault positions, inception angles, fault resistances and source impedance ratios. The results show that the proposed method can meet the dependability and security demands for the protection of series compensated lines.

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“…Distance protection is used extensively in transmission systems. Series capacitors reduce the security and reliability of distance protection and create delays in relay operation [4]. Differential protection is also used in series compensated lines, but the need for fast reliable communication between the line terminals creates some challenges as transmission lines are usually long.…”

Section: Introductionmentioning

confidence: 99%

An Incremental Quantity Based Distance Protection With Capacitor Voltage Estimation for Series Compensated Transmission Lines

2021

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Series capacitors increase the power transfer limit of transmission lines. However, the protection of series compensated lines using only local measurement is challenging. Phasor based distance protection experiences delay and directional problems in the presence of a series capacitor. This paper presents an incremental quantity based distance protection algorithm for series compensated lines. The algorithm uses instantaneous voltage and current measurement from the local bus. It consists of capacitor voltage estimation, fault detection, phase selection, directional discrimination and distance estimation. The algorithm is extensively tested based on simulations with a line-end series capacitor, considering different source impedance ratios, fault inception angle, compensation levels, and fault resistance, location and type. This time-domain method is shown to work well, with fast decision time.

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Impact of high levels of series compensation on line distance protection

Cited by 8 publications

References 3 publications

Advanced Fault Detection, Classification, and Localization in Transmission Lines: A Comparative Study of ANFIS, Neural Networks, and Hybrid Methods

Advanced Fault Detection, Classification, and Localization in Transmission Lines: A Comparative Study of ANFIS, Neural Networks, and Hybrid Methods

An incremental quantity based protection with capacitor voltage estimation for mid-line series compensation

An Incremental Quantity Based Distance Protection With Capacitor Voltage Estimation for Series Compensated Transmission Lines

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