Low cost microcontroller based optimal control on photovoltaic energy optimization

To , Shu Zi (2014) Low cost microcontroller based optimal control on photovoltaic energy optimization. Project Report. UTeM. (Submitted)

Text LOW COST MICROCONTROLLER BASED OPTIMAL CONTROL ON PHOTOVOLTAIC ENERGY OPTIMIZATION 24pages.pdf Download (562kB)

Abstract

The energy consumption in the world was increasing due to the increase of residents and high factory development. Solar energy has becoming a potential resource to generate energy because it is renewable energy. This research is about the modeling and simulation of optimal control on solar photovoltaic to optimize the power output. During the high irradiance of the sun, the temperature of the photovoltaic panel will be increase and the output power generated by the photovoltaic system will be decreased. Thus, the control system is applied to find an economic optimum to control the temperature of the solar photovoltaic and optimize the energy generated by the system. To overcome the problem, a fan was installed on the solar photovoltaic for the cooling on surface of solar photovoltaic. However, the used of the fan is also consumed energy from the system. Hence, the optimum operating point which is used to control the switching of fan is found to produce optimal power. Microcontroller PcDuino is used in designing the control system of this project. The algorithm of optimization, numeric integration and input-output will be exploited toward the success of the optimal control system. The data from the simulation and program are obtained for comparison and analysis. The results show that the output power with using optimal control is higher than the conventional condition. The percentage of improvement in output power is about 9% to 13%

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