Automatic Transfer Switch (ATS) is a device that can move the main power source to a backup power source automatically and quickly when the main power source is interrupted or the supply cuts to the load. In this study, ATS was designed based on the Arduino Nano microcontroller as an automatic control that works based on voltage readings. Using the Arduino Nano microcontroller can facilitate the process of making tools and minimize the use of components. This ATS uses the PZEM-004T voltage sensor module. The voltage sensor module functions to detect and measure the value of the PLN voltage. From the test results, it was found that the time lag between the PLN supply being cut off until the battery was supplying and ready to be loaded was an average of 2.79 seconds. Meanwhile, the time lag when the PLN supply turns on again until the battery supply is cut off and the load supply is again served by PLN is 3.07 seconds on average. Other tests found that in measuring battery resistance with a load of 20 watts, the current obtained is 1.66 amperes with a usage resistance of 27 hours, while when the load is 200 watts the current is 16.66 amperes while the resistance to use is 2.7 hours. The length of battery life is affected by the magnitude of the load.
This study was conducted to obtain the angle of elevation of solar panels (PV) to harvest photon light energy sources from LED bulbs that are often used in residential homes or buildings. The PV tilt angles tested are 0, 15, 30 and 90º by placing a constant bulb in its position. The results of the observations show that a slope of 0º produces the highest PV electrical power, although it is not significant compared to the other 3 slope angles. The decrease in PV output power occurs when the slope angle increases. Optimum power of 16.93 Watt is obtained by using a Hannochs bulb at a power of 15 Watt with an angle of elevation of 0º. Furthermore, the power decreased to 16.33, 12.92, and 12.91 Watts at angles of 15, 30 and 90º, respectively. Further research is still needed by increasing the variation of bulb power above 15 Watts to validate the position of the PV panels on the walls of the building according to light source.
Heat transfer is the transfer of energy from one area to another due to the temperature difference between these areas. Wasted heat energy can be converted into electricity using (TEG) between the hot and cold sides. If the temperature difference is more significant, the efficiency may increase along with the operating temperature of the TEG-type material. So in this study, the author will calculate the heat transfer that occurs in Photovoltaic (PV), Thermoelectric Generator (TEG), and Hot Mirrors by utilizing thermal energy light produced from Muxindo LED bulbs with 10 Watt, 15 Watt, and 20 Watt power. The results of this study indicate that by using 10, 15, and 20 Watt LED bulbs for free convection heat transfer, the power generated from each point increases because it passes through several obstacles from objects that experience a decrease in temperature to PV and TEG, with the characteristics of the displacement. The movement of molecules from the medium importance follows convection heat at every point of transfer in the intermediate substance. The most significant power generated from radiant heat transfer is about 0.1873 Watt. It occurs on the surface of the fresnel lens using a 20 Watt LED bulb with the characteristic that the radiation propagates in a straight line and does not require an intermediate medium to transfer heat from one substance to another. The most significant conduction heat transfer power, 0.2453 Watt, occurs in Fresnel Lens using a 20 Watt LED bulb with heat transfer characteristics in solid objects.
Related to environmental issues resulting from the use of traditional energy sources, drive usage of renewable energy is increasing. Changes in the structure of the network will certainly affect the changes in voltage stability. In this paper, discuss the impact of the stability after distributed generation penetration whose its output intermittent relatively. The simulation based PSAT software and tested into IEEE 30 bus system. Observation of voltage deviation and SVSI-index on some load buses in conditions before and after integration of wind generation. Load condition is a very determining factor of bus voltage stability index. This relates to the active power and reactive power needs that must be injected by DG penetration.
This study aims to design a control system with fuzzy logic on a system of cooling the storage of soft drinks with thermoelectric coolers. This storage can be carried in a vehicle using a DC electric power from a photovoltaic solar cell mounted on the roof of the car. Under certain conditions the energy source of cigarette lighter in a car can replace the solar cells. The test results show that a temperature of 15oC can be reached within 30 minutes with fuzzy control, while without fuzzy control the time needed in 63 minutes, 30 minutes longer.
This article describes the hybrid approach of the Firefly Algorithm and power-voltage curve method in optimal placement of Distributed Generation while considering the actual load model. The actual load model is represented by six models. The six load models are a composite of industrial, residential, and commercial loads with dissimilar percentages. The Institute of Electrical and Electronics Engineers 30 Bus is selected as the testing object for the proposed method. The optimal Distributed Generation placement process was performed using the Firefly Algorithm, while evaluation of optimal Distributed Generation on the loading and stability index is continued using the power-voltage curve method. The results show that commercial loads contribute to high power loss values. The optimal Distributed Generation integration results in an increase the stability index from 53.83% at initial conditions to 90.84% at maximum load level when increasing the maximum loading limit to 95%.
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