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A comparative study of control theories for realizing APFs in distribution power systems
Published in Institute of Electrical and Electronics Engineers Inc.
2017
Abstract
Concerns of power quality problems, especially for sensitive loads are well known. The integration of microgrid and renewable energy sources with power converters is propounding this problem. This challenges us to know more about their control techniques so as to optimize their performance, both in terms of time and memory. This paper is concerned to analyze the formulation of three control theories (ISC, IRP, SRF) in terms of computational time and memory, used in control of Active Power Filters to mitigate these problems. This assists in optimizing a given DSP algorithm for APFs and also reducing the overall operational time. A comparative analysis is presented with their Big-O polynomial to comment upon their efficiency in time and memory space. © 2016 IEEE.
About the journal
JournalData powered by Typeset2016 National Power Systems Conference, NPSC 2016
PublisherData powered by TypesetInstitute of Electrical and Electronics Engineers Inc.
Open AccessNo
Concepts (11)
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    Control theory
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    Renewable energy resources
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    Active power filter
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    Comparative analysis
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    Comparative studies
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    COMPUTATIONAL TIME AND MEMORY
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    Control techniques
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    DISTRIBUTION POWER SYSTEMS
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    POWER QUALITY PROBLEM
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    Renewable energy source
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    Computation theory