scholarly journals A novel fast power swing blocking strategy for distance relay based on ADALINE and moving window averaging technique

2020 ◽  
Vol 15 (1) ◽  
pp. 97-107
Author(s):  
Mohsen Jannati ◽  
Mohammad Mohammadi
Keyword(s):  
Moving Window ◽  
Distance Relay ◽  
Averaging Technique ◽  
Power Swing ◽  
Fast Power

Distance Relaying with Power Swing Detection based on Voltage and Reactive Power Sensitivity

2016 ◽  
Vol 17 (1) ◽  
pp. 27-38 ◽  
Author(s):  
Ujjaval J. Patel ◽  
Nilesh G. Chothani ◽  
Praghnesh J. Bhatt
Keyword(s):  
Reactive Power ◽  
Synchronous Generator ◽  
Power Input ◽  
Parallel Line ◽  
Rate Of Change ◽  
Electrical Network ◽  
Distance Relay ◽  
Heavy Load ◽  
Power Swing ◽  
Distance Relaying

Abstract Sudden changes in loading or configuration of an electrical network causes power swing which may result in an unwanted tripping of the distance relay. Hence, it becomes utmost necessary to rapidly and reliably discriminate between actual fault and power swing conditions in order to prevent instability in power network due to mal operation of distance relay. This paper proposes a novel method for the discrimination between fault and power swing based on rate of change of voltage and reactive power measured at relay location. The effectiveness of the proposed algorithm is evaluated by simulating series of power swing conditions in PSCAD/EMTDC® software for different disturbances such as change in mechanical power input to synchronous generator, tripping of parallel line due to fault and sudden application of heavy load. It is revealed that the distance relay gives successful tripping in case of different fault conditions and remains inoperative for power swing with the implementation of the proposed algorithm. Moreover, the proposed scheme has ability to distinguish the symmetrical and asymmetrical fault occurrence during power swing condition.

Intelligent Power Swing Detection Scheme to Prevent False Relay Tripping Using S-Transform

2014 ◽  
Vol 15 (3) ◽  
pp. 291-298 ◽  
Author(s):  
Nor Z. Mohamad ◽  
Ahmad F. Abidin ◽  
Ismail Musirin
Keyword(s):  
Signal Processing ◽  
Wavelet Transform ◽  
Active Power ◽  
Measurement Point ◽  
Distance Relay ◽  
Detection Scheme ◽  
Power Swing ◽  
S Transform ◽  
Unstable Part ◽  
Intelligent Approach

Abstract Distance relay design is equipped with out-of-step tripping scheme to ensure correct distance relay operation during power swing. The out-of-step condition is a consequence result from unstable power swing. It requires proper detection of power swing to initiate a tripping signal followed by separation of unstable part from the entire power system. The distinguishing process of unstable swing from stable swing poses a challenging task. This paper presents an intelligent approach to detect power swing based on S-Transform signal processing tool. The proposed scheme is based on the use of S-Transform feature of active power at the distance relay measurement point. It is demonstrated that the proposed scheme is able to detect and discriminate the unstable swing from stable swing occurring in the system. To ascertain validity of the proposed scheme, simulations were carried out with the IEEE 39 bus system and its performance has been compared with the wavelet transform–based power swing detection scheme.

scholarly journals Secured protection of transmission line by distance relay using data mining approach

2021 ◽  
Vol 23 (1) ◽  
pp. 1
Author(s):  
M. Kiruthika ◽  
Bindu S.
Keyword(s):  
Data Mining ◽  
Transmission Line ◽  
Normal Fault ◽  
Distance Relay ◽  
Good Efficiency ◽  
Protection Scheme ◽  
Power Swing ◽  
Data Mining Approach ◽  
Two Phases ◽  
Using Data

Distance relay is one of the most important protection element of a transmission line used in protection schemes. Relay may malfunction if it is not able to distinguish faults from system stressed conditions. This work mainly focusses on enhancing the performance of the distance relay in a secured manner based on data mining approach which uses two phases of classification. Level 1 classifier identifies the system conditions like normal, fault, and power swing and level 2 classifier gets initiated when there is a power swing and distinguishes between the persistence of power swing condition and a three-phase fault. In both the phases, the protection scheme in the respective zone where the fault occurred gets activated. The proposed methodology is tested for an IEEE 9-bus system wherein the data is collected from phasor measurement units placed in optimal locations. Optimal PMU placement is economical since it overcomes issues like cost, communication infrastructure issues, maintenance and complexity. The results proved that the proposed method is effective with good efficiency and higher accuracy with less number of PMUs.

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