Digital Signal Processing Filters for Enhanced Operation within Smart Grid

  • Zahid Ullah
  • , Taha Mujahid
  • , Fazale Wahab
  • , Waqar Uddin
  • , Nauman Ali
  • , Sahibzada Muhammad Ali
  • , Bilal Khan
  • , Chaudhry Arshad Mehmood
  • , Aun Haider

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

The complex power system accommodating massive penetrations of distributed renewable energy sources is known as Smart Grid (SG). The SG allows bidirectional energy and power flow due to the deployment of communication technologies and generates massive digital data that need to be efficiently processed. Therefore, to process the massive data, Digital Signal Processing (DSP) filters are employed to filter the required data and these filters play a key role in SG development and solve major complex challenges. This paper emphasis DSP filters deployed for enhanced operation of SG. A filter allows one band of amplifiers or transistors. Filters can isolate desired signals from undesired signals and block interfering signals. Further, the frequency response is the most important factor and is used to categorize filters. Moreover, our work presents a detailed study of various filters using pictorial and tabular descriptions. Finally, adaptive filters are thoroughly explained in this paper.

Original languageEnglish
Title of host publicationProceedings - 2020 23rd IEEE International Multi-Topic Conference, INMIC 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728198934
DOIs
StatePublished - 5 Nov 2020
Externally publishedYes

Publication series

NameProceedings - 2020 23rd IEEE International Multi-Topic Conference, INMIC 2020

Bibliographical note

Publisher Copyright:
© 2020 IEEE.

Keywords

  • Adaptive Filters
  • Digital Filters
  • Digital Signal Processing
  • Finite Impulse Response Filters
  • Smart Grid

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Information Systems and Management
  • Energy Engineering and Power Technology
  • Renewable Energy, Sustainability and the Environment
  • Electrical and Electronic Engineering
  • Control and Optimization
  • Health Informatics

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