PQ data compression algorithm with modified quantizer and adaptive band logic using DTCWT

• Autorzy: Prathibha E. , Manjunatha A. , Raj C. P.

Identyfikatory

DOI

10.24425/119002

• Języki publikacji: EN

Abstrakty

EN

Abstract:With growing demand for energy, power generated in renewable sources at various locations are distributed throughout the power grid. The power grid known as the smart grid needs to monitor power generation and its smart distribution. Smart meters provide solutions for monitoring power over smart grids. Smart meters need to continuously log data and at every source there is a large amount of data generated that needs to be compressed for both storage and transmission over the smart grid. In this paper, a novel algorithm for PQ data compression is proposed that uses the Dual Tree Complex Wavelet Transform (DTCWT) for sub-band computation and a modified quantizer is designed to reduce subband coefficient limits to less than 4 bits. The Run Length Encoding (RLC) and Huffman Coding algorithm encode the data further to achieve compression. The performance metrics such as a peak-signal-to-noise ratio (PSNR) and compression ratio (CR) are used for evaluation and it is found that the modified DTCWT (MDTCWT) improves PSNR by a factor of 3% and the mean squared error (MSE) by a factor of 16% as compared with the DTCWT based PQ compression algorithm.

Słowa kluczowe

EN

complex wavelets; data compression; power quality disturbances; smart grid

• Wydawca: Polish Academy of Sciences, Committee on Electrical Engineering
• Czasopismo: Archives of Electrical Engineering
• Rocznik: 2018
• Tom: Vol. 67, nr 1
• Strony: 207--223
• Opis fizyczny: Bibliogr. 15 poz., rys., tab., wz.

Twórcy

autor

Prathibha E.

• Sri krishna Institute of Technology No 29, Chimney hills Chikkabanavara post, Bangalore-560090, Karnataka, India

autor

Manjunatha A.

• Sri krishna Institute of Technology No 29, Chimney hills Chikkabanavara post, Bangalore-560090, Karnataka, India

autor

Raj C. P.

• MS Engineering College Navarathna Agrahara Sadahalli Post, Bengaluru - 562 110, Karnataka, India

Bibliografia

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Uwagi

Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2018).