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

Thumbnail Image

Files

CIRED 2019 - 86.pdf (591.58 KB)

Paper number

86

Working Group Number

Conference name

CIRED 2019

Conference date

3-6 June 2019

Conference location

Madrid, Spain

Peer-reviewed

Yes

Short title

Convener

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.

Table of content

Keywords

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