Power management and control for solar-wind-diesel stand-alone hybrid energy systems

Show simple item record

dc.contributor.advisor Merabet, Adel, 1975-
dc.creator Islam, Md. Aminul
dc.date.accessioned 2014-08-06T19:04:15Z
dc.date.available 2014-08-06T19:04:15Z
dc.date.issued 2014
dc.identifier.other TK1007 I85 2014
dc.identifier.uri http://library2.smu.ca/xmlui/handle/01/25851
dc.description xiv, 88 leaves : ill. ; 29 cm.
dc.description Includes abstract and appendix.
dc.description Includes bibliographical references (leaves 81-86).
dc.description.abstract A simulation based research on developing a power management and control system for stand-alone solar-wind-diesel hybrid energy systems is presented in this dissertation. The simulation model of stand-alone system is developed from mathematical models of solar photovoltaic system, wind turbines and diesel generators. A multi-variable control system is developed and implemented into the simulation models in order to achieve optimum performance. The model of solar photovoltaic energy conversion system is constructed with maximum power point tracking control to extract maximum power from the solar photovoltaic system. An improved control system is developed for wind energy conversion system to optimize the operation of wind turbine through speed regulation and maximum power point tracking control. In addition, a governor control system is developed for the diesel generation system. The frequency regulation system consist conventional phase locked loop system and a voltage regulator in order to regulate the load voltage. A power management strategy is introduced to share the generated power and to improve the power quality where priority is given to the wind energy conversion system. The power management algorithm controls the sharing of generated power and optimizes the hybrid operation. The complete model of stand-alone solar-wind-diesel hybrid energy system is simulated in Matlab®/Simulink® interface. Results obtained from the simulation are presented to validate the control algorithms developed in this work. en_CA
dc.description.provenance Submitted by Trish Grelot (trish.grelot@smu.ca) on 2014-08-06T19:04:15Z No. of bitstreams: 1 islam_md_aminul_masters_2014.pdf: 1840605 bytes, checksum: ef582b4121eee4f6f49be34fd799aca4 (MD5) en
dc.description.provenance Made available in DSpace on 2014-08-06T19:04:15Z (GMT). No. of bitstreams: 1 islam_md_aminul_masters_2014.pdf: 1840605 bytes, checksum: ef582b4121eee4f6f49be34fd799aca4 (MD5) en
dc.language.iso en en_CA
dc.publisher Halifax, N.S. : Saint Mary's University
dc.subject.lcc TK1007
dc.subject.lcsh Electric power systems -- Control
dc.subject.lcsh Electric power systems -- Management
dc.subject.lcsh Electric power systems -- Computer simulation
dc.subject.lcsh Hybrid power systems
dc.title Power management and control for solar-wind-diesel stand-alone hybrid energy systems en_CA
dc.type Text en_CA
thesis.degree.name Master of Science in Applied Science
thesis.degree.level Masters
thesis.degree.discipline Engineering
thesis.degree.grantor Saint Mary's University (Halifax, N.S.)
 Find Full text

Files in this item

 
 

This item appears in the following Collection(s)

Show simple item record