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Modified particle swarm optimization algorithm based power flow controller for grid-connected microgrids

Due to the fast depletion of fossil fuels and environmental concerns, the Microgrids (MGs) have emerged as an alternate source of electrical power generation. Renewable power sources like wind turbines, microturbines, solar Photo-voltaic (PV) and fuel cells connected together in a local grid to form...

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Main Author: Khan, Ismail Akbar
Format: Thesis
Language:English
Published: 2018
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://eprints.utm.my/id/eprint/79325/1/IsmailAkbarKhanMFKE2018.pdf
http://eprints.utm.my/id/eprint/79325/
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spelling my.utm.793252018-10-14T08:44:23Z http://eprints.utm.my/id/eprint/79325/ Modified particle swarm optimization algorithm based power flow controller for grid-connected microgrids Khan, Ismail Akbar TK Electrical engineering. Electronics Nuclear engineering Due to the fast depletion of fossil fuels and environmental concerns, the Microgrids (MGs) have emerged as an alternate source of electrical power generation. Renewable power sources like wind turbines, microturbines, solar Photo-voltaic (PV) and fuel cells connected together in a local grid to form a MG system and provide energy to communities living too far from the utility grid. In spite of the vast benefits of employing MGs in islanding or connecting them with the existing utility grids, they create some serious power quality issues. This is mainly due to the “plug and play” capability of connected DGs and loads within MGs and the use of a non-linear power electronic interface like voltage source inverter or converter used to integrate DGs with the MG. These power quality issues like high harmonic distortion, increased voltage and frequency flickers, high current transients and ineffective active and reactive power regulation limits the wide applicability of these small scale distributed MGs. Therefore, an optimal power control strategy is required to smoothly integrate these DGs within MG and into the main grid with desired active and reactive power sharing ratio and minimized harmonic distortion. This research work is carried out to develop an optimal power controller for the grid connected MGs in order to regulate the active and reactive power flow between the MG and the utility grid according to the desired setpoint with enhanced power quality. Furthermore, in order to improve the performance of the proposed controller under different operating conditions, its gain parameters (Kp and Ki) are optimally selected by using Modified Particle Swarm Optimisation (MPSO) algorithm. Moreover, to validate the effectiveness of the proposed MPSO based controller, its performance is compared with that of the conventional PSO based controller for the same operating conditions. As a result, MPSO provided improvement of 21.6% in overshoot, in 24.8% rise time and 15% in settling time has been obtained. Furthermore, the proposed controller provides an excellent response in regulating active and reactive power along with good power quality, in particular when the high DG penetration is required. 2018 Thesis NonPeerReviewed application/pdf en http://eprints.utm.my/id/eprint/79325/1/IsmailAkbarKhanMFKE2018.pdf Khan, Ismail Akbar (2018) Modified particle swarm optimization algorithm based power flow controller for grid-connected microgrids. Masters thesis, Universiti Teknologi Malaysia, Faculty of Electrical Engineering.
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
language English
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Khan, Ismail Akbar
Modified particle swarm optimization algorithm based power flow controller for grid-connected microgrids
description Due to the fast depletion of fossil fuels and environmental concerns, the Microgrids (MGs) have emerged as an alternate source of electrical power generation. Renewable power sources like wind turbines, microturbines, solar Photo-voltaic (PV) and fuel cells connected together in a local grid to form a MG system and provide energy to communities living too far from the utility grid. In spite of the vast benefits of employing MGs in islanding or connecting them with the existing utility grids, they create some serious power quality issues. This is mainly due to the “plug and play” capability of connected DGs and loads within MGs and the use of a non-linear power electronic interface like voltage source inverter or converter used to integrate DGs with the MG. These power quality issues like high harmonic distortion, increased voltage and frequency flickers, high current transients and ineffective active and reactive power regulation limits the wide applicability of these small scale distributed MGs. Therefore, an optimal power control strategy is required to smoothly integrate these DGs within MG and into the main grid with desired active and reactive power sharing ratio and minimized harmonic distortion. This research work is carried out to develop an optimal power controller for the grid connected MGs in order to regulate the active and reactive power flow between the MG and the utility grid according to the desired setpoint with enhanced power quality. Furthermore, in order to improve the performance of the proposed controller under different operating conditions, its gain parameters (Kp and Ki) are optimally selected by using Modified Particle Swarm Optimisation (MPSO) algorithm. Moreover, to validate the effectiveness of the proposed MPSO based controller, its performance is compared with that of the conventional PSO based controller for the same operating conditions. As a result, MPSO provided improvement of 21.6% in overshoot, in 24.8% rise time and 15% in settling time has been obtained. Furthermore, the proposed controller provides an excellent response in regulating active and reactive power along with good power quality, in particular when the high DG penetration is required.
format Thesis
author Khan, Ismail Akbar
author_facet Khan, Ismail Akbar
author_sort Khan, Ismail Akbar
title Modified particle swarm optimization algorithm based power flow controller for grid-connected microgrids
title_short Modified particle swarm optimization algorithm based power flow controller for grid-connected microgrids
title_full Modified particle swarm optimization algorithm based power flow controller for grid-connected microgrids
title_fullStr Modified particle swarm optimization algorithm based power flow controller for grid-connected microgrids
title_full_unstemmed Modified particle swarm optimization algorithm based power flow controller for grid-connected microgrids
title_sort modified particle swarm optimization algorithm based power flow controller for grid-connected microgrids
publishDate 2018
url http://eprints.utm.my/id/eprint/79325/1/IsmailAkbarKhanMFKE2018.pdf
http://eprints.utm.my/id/eprint/79325/
_version_ 1643658163021414400
score 13.211869

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