This paper presents a fuzzy logic based algorithm developed to bring smart functionality to an ordinary PV-battery system in order to maintain the grid voltage stability of the 22 kV distribution system in Thailand. This research focuses on minimizing grid voltage fluctuations by converting a typical PV system into a smart PV-battery system (SPVs-BSS). A SPVs-BSS will be able to control the electrical power from a PV system to maintain the grid voltage in case of unexpected events or emergencies. Grid support functions such as a variable reactive power control and active power control will be discussed, leading to strategies for charging and discharging the battery system in response to the status of grid voltage. Fuzzy Logic was used to develop this control algorithm, which is named the Voltage Stability Fuzzy Logic Algorithm (VSFL Algorithm). The methodology of this research consists of three parts. First, testing the grid inverter operated on grid support functions. Second, the VSFL algorithm was developed to manage both the grid inverter and the battery system. Third, a SPVs-BSS equipped with the VSFL algorithm was simulated by using DIgsilent PowerFactory software. Results showed that the SPVs-BSS equipped with the VSFL Algorithm successfully maintained grid voltage in target range.
Photovoltaic (PV) system experience challenges from module temperature (Tmod) increasing particularly due to stagnation of thermal energy (TE) on its surface. Efforts to reduce the Tmod is widely experimented in many ways, like incorporating latent heat storage material (PCM) with PV module to reduce the Tmod through radiation and convection heat transfer. This paper focuses on selecting of an effective thermal absorption material for the fabrication of PCM matrix and optimization of the critical spacing between the PV module and PCM matrix. The thermal absorptivity of Aluminum (Al) and Copper (Cu) were analyzed with and without coated absorber at different spacing conditions. It was observed that Al tube matrix with coated absorber was absorbed 3.0 °C more than copper at 6 mm distance from module. Hence further studies on the Tmod reduction will be effective with the use of Al as PCM matrix tube.
This paper focuses on to evaluate technical performance of PV roof top system. This system totally consists of 168 polycrystalline modules in which 14 are connected in series and 12 are connected in parallel. The total capacity of the system is 50 kWp, in which each module has the rated power capacity of 305 Watt. This system is connected to three 20kW inverters and which intern is connected to grid. Tilt angle and orientation is obtained by MATLAB 7.10 and PVsyst software for each 150 change in tilt angle, the variation in solar irradiance absorbed by the PV modules, variation in energy produced by the modules and the variation in the final yield are observed. MATLAB software is also used to find the curve fitting by using surface fitting tool. The result showed that at 150 tilt and 450 azimuth angles, the maximum yield and effective energy were obtained as 4.65 h/day and 1394 kWh/kWp/year respectively.
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