Comparative performance of dynamic voltage restorer using adaptive control algorithms with optimized error regulator gains. (12th November 2020)
- Record Type:
- Journal Article
- Title:
- Comparative performance of dynamic voltage restorer using adaptive control algorithms with optimized error regulator gains. (12th November 2020)
- Main Title:
- Comparative performance of dynamic voltage restorer using adaptive control algorithms with optimized error regulator gains
- Authors:
- Naidu, Talada Appala
Arya, Sabha Raj
Al‐Durra, Ahmed
El‐Fouly, Tarek H. M. - Abstract:
- Summary: This paper describes the performance of a dynamic voltage restorer (DVR) using various adaptive controls. The implemented control algorithms are; the amplitude adaptive notch filter (AANF), the quasi newton (QN), and the sliding mode observer (SMO) based control algorithms equipped with optimized PI tuning for three leg voltage sources converter‐based topology. These control algorithms are assessed and compared using key factors including computational parameters complexity, system response, dynamic and steady state performance etc. The control of a DVR is mainly dependent on the error minimization of the DC voltage and the load terminal voltages, respectively, which directly affects the generation reference load voltage for a DVR. Accordingly, optimization algorithms have been implemented for estimating the PI controllers' gains along with the control algorithms under investigation. The optimization method Harris Hawks Optimization algorithm (HOA) has been implemented for PI tuning for all aforementioned control algorithms. The estimation technique of the PI controller gains using the aforementioned optimization algorithm is elaborated mathematically and pictorially described. A comparative analysis of the performance of the HOA optimization method in estimating the gains of PI controllers of the adaptive control algorithms for three phase DVR are simulated using MATLAB. Moreover, all control algorithms have been developed and tested on the Micro Lab Box basedSummary: This paper describes the performance of a dynamic voltage restorer (DVR) using various adaptive controls. The implemented control algorithms are; the amplitude adaptive notch filter (AANF), the quasi newton (QN), and the sliding mode observer (SMO) based control algorithms equipped with optimized PI tuning for three leg voltage sources converter‐based topology. These control algorithms are assessed and compared using key factors including computational parameters complexity, system response, dynamic and steady state performance etc. The control of a DVR is mainly dependent on the error minimization of the DC voltage and the load terminal voltages, respectively, which directly affects the generation reference load voltage for a DVR. Accordingly, optimization algorithms have been implemented for estimating the PI controllers' gains along with the control algorithms under investigation. The optimization method Harris Hawks Optimization algorithm (HOA) has been implemented for PI tuning for all aforementioned control algorithms. The estimation technique of the PI controller gains using the aforementioned optimization algorithm is elaborated mathematically and pictorially described. A comparative analysis of the performance of the HOA optimization method in estimating the gains of PI controllers of the adaptive control algorithms for three phase DVR are simulated using MATLAB. Moreover, all control algorithms have been developed and tested on the Micro Lab Box based experimental setup of DVR in the laboratory and their performance were compared while considering unbalance for compensation and satisfactory results were obtained. Abstract : Graphical abstract of the paper. … (more)
- Is Part Of:
- International transactions on electrical energy systems. Volume 31:Number 10(2021)
- Journal:
- International transactions on electrical energy systems
- Issue:
- Volume 31:Number 10(2021)
- Issue Display:
- Volume 31, Issue 10 (2021)
- Year:
- 2021
- Volume:
- 31
- Issue:
- 10
- Issue Sort Value:
- 2021-0031-0010-0000
- Page Start:
- n/a
- Page End:
- n/a
- Publication Date:
- 2020-11-12
- Subjects:
- computational burden -- DC link -- hessian matrix -- notch filter -- optimization method -- PI controller -- sag -- unbalance
Electric power -- Periodicals
Electric power systems -- Periodicals
Electrical engineering -- Periodicals
621.3 - Journal URLs:
- http://www3.interscience.wiley.com/cgi-bin/jtoc/106562716/all ↗
http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)2050-7038 ↗
https://www.hindawi.com/journals/itees/ ↗
http://onlinelibrary.wiley.com/ ↗ - DOI:
- 10.1002/2050-7038.12696 ↗
- Languages:
- English
- ISSNs:
- 2050-7038
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 19959.xml