dc.contributor.author | Samiyah Umill Hakim, Hasan | |
dc.date.accessioned | 2015-07-24T07:41:33Z | |
dc.date.available | 2015-07-24T07:41:33Z | |
dc.date.issued | 2011-05 | |
dc.identifier.uri | http://dspace.unimap.edu.my:80/xmlui/handle/123456789/40336 | |
dc.description | Access is limited to UniMAP community. | en_US |
dc.description.abstract | Hybrid power systems, which utilize different renewable resources such as wind,
solar, biomass, micro hydro, with fossil fuel powered diesel generator to provide electric
power, are well suited for remote rural areas. This project present to Optimization of
renewable energy hybrid system looks into the process of selecting the best components
and its sizing with appropriate operation strategy to provide cheap efficient, reliable and
cost effective. This project is formed on the basis of cost effective modeling for remote
rural area that is minimization of energy production cost. This thesis shows the way to
design the aspects of a hybrid power system that will target remote users. The hybrid of
solar, wind and battery as back-up is the basis of assessment. The system configuration of
the hybrid is derived based on a theoretical domestic load at a remote location and local
solar radiation and wind speed. The main power of the hybrid system comes from the
photovoltaic panels and wind turbine, while the batteries are used as backup units. The
optimization software used for this project is HOMER. HOMER is a design model that
determines the optimal architecture and control strategy of the hybrid system. The
simulation results indicate that the proposed hybrid system would be a feasible solution for
distributed generation of electric power for stand-alone applications at remote locations. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Universiti Malaysia Perlis (UniMAP) | en_US |
dc.subject | Hybrid power system | en_US |
dc.subject | Alternative electrical energy | en_US |
dc.subject | Home appliance | en_US |
dc.subject | Renewable energy | en_US |
dc.title | Design and optimization of hybrid power system for remote residential area | en_US |
dc.type | Learning Object | en_US |
dc.contributor.advisor | Tunku Muhammad Nizar Tunku Mansur | en_US |
dc.publisher.department | School of Electrical Systems Engineering | en_US |