The smart building campus is still being studied by researchers until now. Given the importance of meeting key performance indicators on smart campuses. Medan Area University is a campus that uses a smart grid system to solve energy management problems. With the position of the Medan Area University being in an area that has the potential to utilize photovoltaic (PV) solar renewable energy sources. With the designation of Google Earth data, the average sunlight intensity in the campus area is 4,528 KWh/m2. The design of the smart grid system is carried out by making solar PV solar as the main source and 4 computers as loads. The fuzzy method was chosen in the smart grid system simulation that has been designed because the fuzzy method can provide decisions in the intersection area. To facilitate analysis The MATLAB program is used to assist in the simulation. So that the output can show results that are close to real conditions. Based on 144 hours of data that has been entered into the fuzzy method, the output shows the results are appropriate to be implemented.
The power generation system with hybrid system grid connected (HSGC) technology is an energy-saving technology that is able to compensate for electricity loads in an energy-efficient manner in today's technological advances. Electrical transient analyzer power (ETAP) simulation software is implemented so that the modeling will have an impact on the development of hybrid systems. Testing the reliability of the system is simulated at the load of school buildings, laboratories, mosques, and kindergarten schools. parameters obtained by evaluating the ratio of the voltage drop before and after the addition of photovoltaic. The value of the voltage drops decreases with the integration of hybrid photovoltaic. The school building panels experienced a voltage drop of 0.15%, reduced after the addition of photovoltaics and wind turbines. Then on the Laboratory panel, a voltage drops of 0.05% was obtained, on the mosque panel the voltage drop reached 0.11%, and on the kindergarten building panel the voltage drop reached 0.09% after the addition of photovoltaic hybrid. From this comparison it can be said that PV and wind turbines can affect the voltage drop and reduce the consumption of electricity loads from the grid caused by adding power from the hybrid photovoltaic hybrid to each load.
This paper tells about a smart grid system. The system uses electrical energy sources through the National Electricity Company, PV Solar Systems and Batteries as a backup. For the load, the rector building, lecture building, hostel and mosque are used. The method of calculating efficiency values uses conventional methods. In the analysis of the efficiency of the use of electrical energy found the highest efficiency value when there is excess energy from the National Electricity Company and as an additional load used batteries to store the excess energy. Demonstrate that the efficiency of electrical energy in smart grid is not only influenced by dynamic loads but also by the addition of other sources of electrical energy. The fluctuations in the use of electric power it will cause variations in efficiency in the system. The highest average value of efficiency is obtained in the third condition of 98.582% where the system experiences excess energy on Saturdays and Sundays and the excess energy is stored on the battery. The addition of the network may be done to anticipate the excess and lack of electrical energy from one network.
The use of smart grid systems is a good opportunity for the future of electric energy resilience in the future. The design of smart grid systems that use electrical energy sources through the PLN (National Power Plant), PV Solar System and Battery as a backup can improve efficiency in the electricity grid. To ensure that the system is feasible, it is necessary to analyze the power flow in the system. The analysis is performed on each case contained in the network with Gauss-Seidel Method. The analysis shows that case 1 is the most optimal power supply from PLN and RE (Renewable Energy).
The utilization of well-managed electrical energy sources will result in high energy efficiency and reliability. Smart grid uses electricity management with 2-way communication that allows loads and sources to corporate each other. Campus is a place that requires priority in the availability of energy and it requires smart grid management. This research will contain smart grid management systems on campus that use multisource to fulfil dynamic loads conditions so as to produce optimal smart grid management. The method that use to analysis the system is conventional method. The optimal smart grid achieved by analysis the sources and loads energy needed and then create a management system that have substantial impact on campus electrical system. The results of this research that smart grid system ensures electrical conditions for the needs of these dynamic loads can be fulfilled which is without a smart grid there is lack of energy for 3 days, whereas with a smart grid there is no lack of energy in the campus building.
The application of mineral oil in transformer is prominently act as and insulator and a coolant liquid. More often, petroleum based oil is used because most its elements are good to act as insulator such as excellent heat transfer and low in viscosity. Anyhow, the usage of mineral oil in transformer is possibly hazardous to the environment considering that it is poor biodegradable liquid where when a spill or leakage happens, it could pollute the environment surroundings. Moreover, it is known as a non-renewable energy sources, the world will be out of it someday near future. For this reason, a new option of transformer insulation liquid is studied. Vegetable oil is a fully biodegradable insulating liquid and for this paper, coconut oil is used as the insulator. In this paper, it concentrates on the performance of the transformer before and after virgin coconut oil is applied in a single-phase step down transformer that use the 220 V supply and 50 Hz frequency. Transformer is connected to 110V induction motor as load and has been test in two conditions, dry and after virgin coconut oil is applied. Comparison is made from both results and clearly shown a good improvement when virgin coconut oil is used as insulation oil.
Medan Area University is one of the private universities in North Sumatra that is also involved in the development of renewable energy technology. This technological development has initiated the University's efforts to develop an electrical system by developing a smart grid system in order to reduce the University's operational costs. However, in its realization, it has its own challenges, such as power flow stability and transient stability. Both problems can be analyzed using ETAP 12.6 software. In one of the cases analyzed, the smart grid system can reduce the use of the active power of the transformer by 11 kW and a current of 19.7 Amp. Meanwhile, in the Indonesian State Electricity Company (PLN) off condition, the smart grid system has not been able to supply the load because the availability of renewable energy sources is not sufficient for the load requirement. As well as the results of the voltage and frequency analysis, the highest voltage is 376.4 Volts, the lowest is 375.9 Volts, which is still in the stable category of 380 Volt voltage deviation because it is not +5% and -10%, and the overall frequency of the cases discussed is consistent stable at nominal 50 Hz.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.