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An efficient modeling and simulation platform to assess autonomous power systems
Moniruzzaman, Md
Moniruzzaman, Md
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t15023_Moniruzzaman.pdf
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2015-05
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Abstract
Autonomous power system (APS) that exploits local renewable energy sources has
potential to provide useful energy at lower costs when compared with conventional energy.
Modern APS involves the control of renewable energy systems with intermittent power
production; interaction with conventional energy generation; and management of energy storage
and consumption. The system configuration of an APS is often complex due to the mix of energy
generations and desire to optimize the utilization of the renewable energy. The fact that a large
amount of data must be processed within a very short period of time makes the APS very
challenging. In this work, we introduce a modeling and simulation methodology to analyze
autonomous power systems. We develop a simulation platform using VisualSim software
package to create simulation programs. We model an APS for hybrid electrical vehicle (HEV)
with solar energy, thermoelectricity, fuel energy, and various buses. Simulation results suggest
that controller area network (CAN) bus outperforms FlexRay and Bluetooth; this is because
CAN bus optimizes the communication required by the vehicular system to use the renewable
energy sources. The proposed modeling and simulation platform is easy, fast, and reliable to
assess the components required in any autonomous power systems.
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Thesis (M.S.)--Wichita State University, College of Engineering, Dept. of Electrical Engineering and Computer Science
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Wichita State University
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Copyright 2015 Md Moniruzzaman