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    Optimal Harmonic Passive Filters for Power Factor Correction, Harmonic Mitigation and Electricity Bill Reduction Using Dragonfly Algorithm

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    CIRED 2019 - 86.pdf (591.5Kb)
    Paper number
    86
    Conference name
    CIRED 2019
    Conference date
    3-6 June 2019
    Conference location
    Madrid, Spain
    Peer-reviewed
    Yes
    Metadata
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    Authors
    Ismael, Sherif, Engineering for the Petroleum and Process Industries (Enppi), Egypt
    H. E. Abdel Aleem, Shady, 15th of May Higher Institute of Engineering Mathematical and Physical Sciences, Egypt
    Abdelaziz, Almoataz, Faculty of Engineering and Technology Future University in Egypt, Egypt
    Bendary, Fahmy, Faculty of Engineering Shoubra Benha University, Egypt
    Abstract
    One of the common techniques for harmonics mitigation in heavy industrial applications is the use of C-type passive filters. Besides, their applicability in power distribution systems is growing. Although single-tuned passive filters are more dominant in industrial applications, their usage is declining in front of C-type filters, particularly from the perspective of utilities or operators. The main reasons are the resonance damping capabilities offered by the C-type filters and the reduced voltage distortion and power losses they can guarantee. In this paper, an optimal design of C–type filter is presented based on maximization of the total saved cash to recoup the filter investment funds to reduce the annual electricity bill, improve the power factor and mitigate harmonic distortion in distribution systems supplying nonlinear loads. A recent swarming search algorithm based on the behavior of dragonflies, known as Dragonfly Algorithm is used for solving the problem. The economic assessment is based on the latest Egyptian energy tariff. The results show that the proposed filter considerably enhances the power quality performance of the system and reduces the annual electricity bill.
    Publisher
    AIM
    Date
    2019-06-03
    Published in
    • CIRED 2019 Conference
    Permanent link to this record
    https://cired-repository.org/handle/20.500.12455/249
    http://dx.doi.org/10.34890/479
    ISSN
    2032-9644
    ISBN
    978-2-9602415-0-1

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