Universiti Teknologi Malaysia Institutional Repository

Energy management of multiple alternative energy resources

Nik Abdullah, Nik Ahmad Faiz (2016) Energy management of multiple alternative energy resources. Masters thesis, Universiti Teknologi Malaysia, Faculty of Electrical Engineering.

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Abstract

Alternative energy resources have gain popularity as replacement to the conventional power generation as one of the effort to reduce green gasses emission to the atmosphere. The problem with alternative energy resources is the characteristic which is non-linear and single source of renewable energy cannot meet demand from end user. Multiple energies required to compensate the non-linearity to ensure steady energies to meet demand. In this project, simulation is done using MATLAB/Simulink. Each block set of alternative energy has been model and modify based on previous research and journal. Energy Management of Multiple Alternative energy has been modelled into two types of microgrid which is DC microgrid and AC microgrid. For AC microgrid, power converters that consists of inverter are designed. DC energy inputs from photovoltaics, fuel cell and battery converted to the required value of AC microgrid voltage. This multiple input then integrated into single microgrid which is connected to local grid. For DC microgrid more complex power converters are required, DC -DC Converter are required to regulate the voltage from DC energy resources. AC energy input from wind turbine converted into DC Voltage and the voltage regulated using DC-DC Converter. Similar to AC microgrid, multiple energy resources then integrated into single DC microgrid which connected to the local grid. Simulation for both system has been done via various input of the alternative energy resources system while load set to maximum demand. System also simulated in grid connected mode and standalone mode. Result for both microgrid simulation show that energy management in multiple alternative energies shall delivered steady power flow to the load. Each configuration has its own analysis from simulation output.

Item Type:Thesis (Masters)
Additional Information:Thesis (Sarjana Kejuruteraan (Elektrik - Kuasa)) - Universiti Teknologi Malaysia, 2016; Supervisor : Dr. Tan Chee Wei
Subjects:T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions:Electrical Engineering
ID Code:77775
Deposited By: Fazli Masari
Deposited On:04 Jul 2018 11:44
Last Modified:04 Jul 2018 11:44

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