Control of energy conversion in a hybrid wind and ultracapacitor energy system

In this thesis the design and implementation of a control strategy for interfacing a hybrid wind and ultracapacitor energy system is presented. The proposed system consists of a Permanent Magnet Synchronous Generator (PMSG)-based wind turbine and an ultracapacitor storage element. The PMSG-based win...

Full description

Saved in:

Bibliographic Details
Main Author:	Abdullah, Majid Abdullateef
Format:	Thesis
Language:	English
Published:	2015
Subjects:	TK Electrical engineering Electronics Nuclear engineering
Online Access:	http://eprints.utm.my/id/eprint/54882/1/MajidAbdullateefAbdullahPFKE2015.pdf
Tags:	Add Tag No Tags, Be the first to tag this record!

id	my-utm-ep.54882
record_format	uketd_dc
spelling	my-utm-ep.548822020-11-11T07:12:26Z Control of energy conversion in a hybrid wind and ultracapacitor energy system 2015-06 Abdullah, Majid Abdullateef TK Electrical engineering. Electronics Nuclear engineering In this thesis the design and implementation of a control strategy for interfacing a hybrid wind and ultracapacitor energy system is presented. The proposed system consists of a Permanent Magnet Synchronous Generator (PMSG)-based wind turbine and an ultracapacitor storage element. The PMSG-based wind turbine is connected to a DC (direct current) bus through an uncontrolled rectifier and a DC-DC boost converter; the ultracapacitor is interfaced to the DC-bus using a bidirectional DC-DC converter. In a wind energy system, because of the unpredictable nature of wind speed, a Maximum Power Point Tracking (MPPT) algorithm is essential for determining the optimal operating point of the wind turbine. This work proposes a new and simple MPPT algorithm based on hybridization of the Optimum Relation Based (ORB) and Particle Swarm Optimization (PSO) methods. The proposed MPPT is advantageous in being sensorless, converging quickly and requiring no prior knowledge of system parameters. In addition, a Linear Quadratic Regulator (LQR) strategy has been applied in designing the DC-DC converter controllers because of its systematic procedure and stability advantages and simplicity. Two controllers based on the LQR method have been designed and implemented. One controller forces input current of the boost converter to track the optimal reference current generated by the proposed MPPT algorithm. The other regulates the DC-bus voltage at a desired level. The regulation is accomplished by controlling the bidirectional converter interfacing the ultracapacitor and the DC-bus. The proposed energy system and its controllers have been simulated in MATLAB/Simulink and implemented using a TMS320F2812 eZdsp board. Simulation results indicate that the proposed PSO-ORB MPPT algorithm average efficiency is 99.4%, with harvested electrical energy 1.9% higher than the conventional OTC and ORB MPPT algorithms. The simulation results also demonstrate the effectiveness of the proposed LQR controllers in obtaining good tracking and their ability to quickly restore the system to its nominal operating point when it is exposed to a disturbance. The simulation results are highly comparable with the experimental results that have successfully verified the functionality of the proposed control techniques. 2015-06 Thesis http://eprints.utm.my/id/eprint/54882/ http://eprints.utm.my/id/eprint/54882/1/MajidAbdullateefAbdullahPFKE2015.pdf application/pdf en public http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:97165 phd doctoral Universiti Teknologi Malaysia, Faculty of Electrical Engineering Faculty of Electrical Engineering
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
language	English
topic	TK Electrical engineering Electronics Nuclear engineering
spellingShingle	TK Electrical engineering Electronics Nuclear engineering Abdullah, Majid Abdullateef Control of energy conversion in a hybrid wind and ultracapacitor energy system
description	In this thesis the design and implementation of a control strategy for interfacing a hybrid wind and ultracapacitor energy system is presented. The proposed system consists of a Permanent Magnet Synchronous Generator (PMSG)-based wind turbine and an ultracapacitor storage element. The PMSG-based wind turbine is connected to a DC (direct current) bus through an uncontrolled rectifier and a DC-DC boost converter; the ultracapacitor is interfaced to the DC-bus using a bidirectional DC-DC converter. In a wind energy system, because of the unpredictable nature of wind speed, a Maximum Power Point Tracking (MPPT) algorithm is essential for determining the optimal operating point of the wind turbine. This work proposes a new and simple MPPT algorithm based on hybridization of the Optimum Relation Based (ORB) and Particle Swarm Optimization (PSO) methods. The proposed MPPT is advantageous in being sensorless, converging quickly and requiring no prior knowledge of system parameters. In addition, a Linear Quadratic Regulator (LQR) strategy has been applied in designing the DC-DC converter controllers because of its systematic procedure and stability advantages and simplicity. Two controllers based on the LQR method have been designed and implemented. One controller forces input current of the boost converter to track the optimal reference current generated by the proposed MPPT algorithm. The other regulates the DC-bus voltage at a desired level. The regulation is accomplished by controlling the bidirectional converter interfacing the ultracapacitor and the DC-bus. The proposed energy system and its controllers have been simulated in MATLAB/Simulink and implemented using a TMS320F2812 eZdsp board. Simulation results indicate that the proposed PSO-ORB MPPT algorithm average efficiency is 99.4%, with harvested electrical energy 1.9% higher than the conventional OTC and ORB MPPT algorithms. The simulation results also demonstrate the effectiveness of the proposed LQR controllers in obtaining good tracking and their ability to quickly restore the system to its nominal operating point when it is exposed to a disturbance. The simulation results are highly comparable with the experimental results that have successfully verified the functionality of the proposed control techniques.
format	Thesis
qualification_name	Doctor of Philosophy (PhD.)
qualification_level	Doctorate
author	Abdullah, Majid Abdullateef
author_facet	Abdullah, Majid Abdullateef
author_sort	Abdullah, Majid Abdullateef
title	Control of energy conversion in a hybrid wind and ultracapacitor energy system
title_short	Control of energy conversion in a hybrid wind and ultracapacitor energy system
title_full	Control of energy conversion in a hybrid wind and ultracapacitor energy system
title_fullStr	Control of energy conversion in a hybrid wind and ultracapacitor energy system
title_full_unstemmed	Control of energy conversion in a hybrid wind and ultracapacitor energy system
title_sort	control of energy conversion in a hybrid wind and ultracapacitor energy system
granting_institution	Universiti Teknologi Malaysia, Faculty of Electrical Engineering
granting_department	Faculty of Electrical Engineering
publishDate	2015
url	http://eprints.utm.my/id/eprint/54882/1/MajidAbdullateefAbdullahPFKE2015.pdf
_version_	1747817746644598784

Control of energy conversion in a hybrid wind and ultracapacitor energy system

Similar Items