A Modified CNN for Detection of Faults During Power Swing in Transmission Lines

2020 ◽  
Author(s):  
Aparnna A ◽  
Sabeena Beevi K ◽  
Serene Benson ◽  
Asif Ali A ◽  
Ahamad Dilshad ◽  
...  
Keyword(s):  
Transmission Lines ◽  
Power Swing

scholarly journals A Study on an Out-of-Step Detection Algorithm Using the Time Variation of Complex Power: Part I, Mathematical Modeling

Energies ◽  
2020 ◽  
Vol 13 (16) ◽  
pp. 4065
Author(s):  
You-Jin Lee ◽  
Jeong-Yong Heo ◽  
O-Sang Kwon ◽  
Chul-Hwan Kim
Keyword(s):  
Transmission Lines ◽  
Smart Grids ◽  
Detection Algorithm ◽  
Grid System ◽  
Step Detection ◽  
Power Swing ◽  
Complex Power ◽  
Power Part ◽  
Micro Grid ◽  
The Stability

Power quality and stability have become the most important issues in power system operations, Micro Grids, and Smart Grids. Sensitive equipment can be seriously damaged when exposed to unstable power swing conditions. An unstable system may cause serious damage to Micro Grid System elements such as generators, transformers, transmission lines, and so forth. Therefore, out-of-step detection is essential for the safe operation of a Micro Grid system. In general, Equal Area Criterion (EAC) is a method for evaluating the stability of Smart Grid systems. However, EAC can be performed only if it is possible to analyze the active power and generator angle. This paper presents an analysis of the trajectory of complex power using a mathematical model. The variation of complex power is analyzed using a mathematical method, and then the relationship between complex power and EAC is presented, and a simulation performed. Later, in part II, a novel out-of-step detection algorithm based on part I will be presented and tested.

Accurate fault detection during power swing: compensated line study

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Hamed Fasihi Pour Parizi ◽  
Saeed Seyedtabaii ◽  
Mahdi Akhbari
Keyword(s):  
New England ◽  
Transmission Lines ◽  
Large Scale ◽  
Power Transmission ◽  
Second Harmonic ◽  
Phase Detection ◽  
Power Transmission Lines ◽  
Content Type ◽  
Power Swing ◽  
Bus Networks

Purpose The purpose of this study is to develop an algorithm to accurately detect faults in series capacitor compensated (SCC) power transmission lines. The line fault must be distinguished from stable power swing, compensating unit malfunction and defects on other lines sharing the same bus (external faults). Design/methodology/approach In this regard, an effective fault feature extractor based on the cumulative sum (CUSUM) of the amplified second harmonic of the phase currents is suggested. The features are then applied to an artificial neural network for classification. No-fault cases include stable power swing and several disturbances. Due to the independent analysis of each phase, faulty phase detection is also a by-product. Findings Various fault scenarios are defined, and the algorithm success rate is compared with some newly published methods. Extensive simulations performed over a single-machine infinite bus, a 3-machine, 9-bus and the large-scale New England IEEE 39-Bus networks all indicate that the proposed algorithm can trip the faulty line more quickly and accurately than the contestant algorithms. Originality/value Suggestion of a new algorithm based on the CUSUM of the amplified second harmonic of the phase current for the fault feature extraction that is able to isolate the transmission line internal faults from stable poser swing, line compensating unit malfunction and faults on the adjacent lines connected to the same bus.

scholarly journals An Efficient Perspective of Neuro Fuzzy on Fog Network for Latency-Driven View Point

2020 ◽  
Vol 9 (5) ◽  
pp. 1757-1761
Keyword(s):  
Transmission Line ◽  
Transmission Lines ◽  
View Point ◽  
Power Swing ◽  
Neuro Fuzzy ◽  
Fog Network

In the present milieu, changes in guidelines and the opening of intensity markets have showed as enormous measure of intensity move across transmission lines with visit changes in stacking conditions dependent on advertise cost. Since ordinary separation transfers may consider power swing as a shortcoming, stumbling in view of such breaking down would prompt genuine ramifications for power framework strength. A recurrence area approach for advanced handing-off of transmission line flaws relieving the unfriendly impacts of intensity swing on customary separation handing-off is introduced. A wavelet-neuro-fluffy consolidated methodology for deficiency area is likewise exhibited. It is not the same as customary calculations that depend on deterministic calculations on a well-characterized model for transmission line security. The wavelet change catches the dynamic qualities of flaw signals utilizing wavelet multi goals examination coefficients. The fluffy surmising framework and the versatile neuro fluffy derivation frameworkare both used to extricate significant highlights from wavelet MRA coefficients and in this manner to arrive at resolutions with respect to blame location.The results contained here approve the prevalence of the methodology over the for deficiency area

Sign in / Sign up

Export Citation Format

Share Document