Application of Wavelet Transform for Recognizing Overvoltages in Power Systems

2010 ◽  
Author(s):  
Chuong Ho Van Nhat
Keyword(s):  
Wavelet Transform ◽  
Power Systems

On the use of continuous-wavelet transform for fault location in distribution power systems

2006 ◽  
Vol 28 (9) ◽  
pp. 608-617 ◽  
Author(s):  
A. Borghetti ◽  
S. Corsi ◽  
C.A. Nucci ◽  
M. Paolone ◽  
L. Peretto ◽  
...  
Keyword(s):  
Wavelet Transform ◽  
Power Systems ◽  
Continuous Wavelet Transform ◽  
Fault Location ◽  
Continuous Wavelet

scholarly journals Wavelet Transform - A New Tool for Analysis of Harmonics in Power Systems

2016 ◽  
Vol 70 ◽  
pp. 10009 ◽  
Author(s):  
D. S. Osipov ◽  
V. N. Gorunov ◽  
A. A. Bubenchikov ◽  
P. V. Katerov
Keyword(s):  
Wavelet Transform ◽  
Power Systems

scholarly journals A Power Sharing Methodology Considering Wavelet Transform in a Residential Prosumer with a Hybrid Storage System

2020 ◽  
Vol 25 (1) ◽  
pp. 23-29
Author(s):  
Andrés Escobar Mejía ◽  
Valentina Triviño Castañeda ◽  
Mauricio Holguin Londoño
Keyword(s):  
Wavelet Transform ◽  
Energy Storage ◽  
Power Systems ◽  
Storage System ◽  
Low Frequency ◽  
Energy Storage System ◽  
Power Sharing ◽  
Low Frequencies ◽  
Hybrid Energy ◽  
Hybrid Energy Storage

Power systems have faced significant changes in recent years due to the integration of renewable energies in the power grid. Thanks to its multiple advantages, the so-called clean energies play an important role in the development of the electrical system, allowing the active participation of end users in energy markets. However, the intermittent nature of these sources has delayed their full integration into power systems; unless operated in conjunction with energy storage systems (e.g. batteries, ultracapacitors, etc.) to smooth out the generation and match the demand. This article presents a power sharing methodology for the exchange of energy between batteries and ultracapacitors in a photovoltaic installation. The case study comprises a hybrid energy storage system, on-site generation and a residential user, where both the load and generation profiles are analyzed using wavelet transform. The high- and low-frequency components of both profiles are used to calculate the energy that is injected into the energy storage system. Results show that by separating the components of the signal in high and low frequencies it is possible to take advantage of the characteristics of each storage technology, extending its life cycle.

Electricity Peak Load Demand using De-noising Wavelet Transform integrated with Neural Network Methods

2016 ◽  
Vol 6 (1) ◽  
pp. 12
Author(s):  
Pituk Bunnoon
Keyword(s):  
Neural Network ◽  
Wavelet Transform ◽  
Power Systems ◽  
Peak Load ◽  
Electric Power System ◽  
Load Demand ◽  
The Neural Network ◽  
Forecasting Method ◽  
Neural Network Algorithm ◽  
The One

One of most important elements in electric power system planning is load forecasts. So, in this paper proposes the load demand forecasts using de-noising wavelet transform (DNWT) integrated with neural network (NN) methods. This research, the case study uses peak load demand of Thailand (Electricity Generating Authority of Thailand: EGAT). The data of demand will be analyzed with many influencing variables for selecting and classifying factors. In the research, the de-noising wavelet transform uses for decomposing the peak load signal into 2 components these are detail and trend components. The forecasting method using the neural network algorithm is used. The work results are shown a good performance of the model proposed. The result may be taken to the one of decision in the power systems operation.

A new real-time algorithm of wavelet transform for detection of sudden-changing signals of power systems

1999 ◽  
Vol 42 (6) ◽  
pp. 609-615 ◽  
Author(s):  
Jianjun He ◽  
Zhen Ren ◽  
Wenying Huang ◽  
Hong Zhou ◽  
Tao Lin
Keyword(s):  
Wavelet Transform ◽  
Power Systems ◽  
Real Time ◽  
Time Algorithm
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