Resource Aware Smart Power Supply Decision Making for Multi-Input Power System

Siva Raja, Sindiramutty (2019) Resource Aware Smart Power Supply Decision Making for Multi-Input Power System. PhD thesis, Universiti Malaysia Sarawak (UNIMAS).

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Improvement of energy efficiency is very much crucial for off grid renewable energy power source in rural areas. Owning to the nature of renewable energy such as sporadic energy producing and inclination in escalation of overall power consumption in rural home appliances (HA), resulted in increasing risks of losing appliances operation sustainability. Smart power management system is very much needed to optimize the power usage from the multi input off-grid renewable energy power supply which be able to deployed in off grid remote areas. Therefore, this thesis proposes the ideas on resource aware smart power supply decision making for multi input power system. This thesis also presents an analogy of “proposed hybrid system which contains solar power, micro hydropower and diesel power generator” to “standalone renewable energy system” on provision power-based load profile. The percentage of power conserved using smart system has been up to 37.5% over conventional standalone micro hydropower system and the amount of diesel consumed is 71.9% less than the conventional diesel power generator system under critical situation. The percentage of power waste of the smart system can be as low as 10%. The power waste is only caused by the allocation power for the buffer system. Average potential battery life span using the smart system has been extended to 13.12 years which is a 105% improvement over the conventional solar system. The power decision making takes control of the hybrid system in which finding the best power fitness for the load power demand by choosing the best single or combination of renewable energy power source to achieve optimum power usage and hence increase the load power sustainability and minimize the overall power waste

Item Type: Thesis (PhD)
Additional Information: Thesis (PhD.) - Universiti Malaysia Sarawak , 2020.
Uncontrolled Keywords: Load demand, power decision making, smart system, multi input, hybrid system, unimas, university, universiti, Borneo, Malaysia, Sarawak, Kuching, Samarahan, ipta, education , Postgraduate, research, Universiti Malaysia Sarawak.
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Academic Faculties, Institutes and Centres > Faculty of Computer Science and Information Technology
Date Deposited: 07 Sep 2020 07:51
Last Modified: 07 Sep 2020 08:03

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