Design of a PV system including its SCADA for a house in Iran

Abstract

Solar Radiation in the Middle East is relatively high and is one of the most sustainable renewable sources. However, Iran has not utilized it as one of the most significant sources of energy yet. Considering the mentioned concern, in this Thesis, a PV system is designed using BEopt and Homer software for a house in Golpayegan, Iran. Thermal modeling of the house is done using BEopt software to determine the hourly load consumption profile. The meteorological data and the generated hourly load data are used by Homer software to size the system based on the optimum net present cost. The cost analysis results demonstrate that the PV/grid is the most optimal solution for the under-consideration house. Then a control strategy is proposed to connect the suggested PV system to the electric distribution grid. The proposed control strategy aims to design the Maximum Power Point Tracking (MPPT) algorithm and control the injected active and reactive PV arrays power. The reactive power control provides the PV system with Power Factor Correction (PFC) capability, improving the system's overall performance. Finally, in the last phase of research, a secure, reliable, low-cost, and open-source SCADA system is developed using the most recent SCADA architecture, the Internet of Things. The proposed SCADA system prototype is implemented and tested to measure the temperature, humidity, pressure, and light intensity of a house and control smart home appliances. The results show that the developed open-source SCADA system performs optimally and accurately and could serve as a viable control and monitoring system for PV applications by minor changes.