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Journal : Andalas Journal of Electrical and Electronic Engineering Technology

The Study of the Effect of Capacity Increase and Photovoltaic Placement on Power Loss, Voltage Profile by Considering THDv Syukri Yunus; R.H. Sukma
Andalas Journal of Electrical and Electronic Engineering Technology Vol. 1 No. 2 (2021): November 2021
Publisher : Electrical Engineering Dept, Engineering Faculty, Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (329.381 KB) | DOI: 10.25077/ajeeet.v1i2.13

Abstract

The application of Photovoltaic (PV) is one solution to the increasing demand for electrical energy. However, the application of photovoltaic (PV) must be in the right location and capacity so that the power loss you want to reduce is large and the voltage profile is good. Photovoltaic (PV) generates DC voltage which is then required by an inverter to convert it to AC. The inverter is a non-linear load that produces harmonics. Harmonics in an electric power system can be known from Total Harmonic Distortion (THD). The purpose of this study is to determine the optimal location of placement (PV) and its maximum capacity so that the power loss is smaller. The resulting voltage and THD profile conform to the permitted standards. The methods used in determining the optimal location of photovoltaic (PV) are Loss Sensitivity Factor (LSF) and Voltage Sensitivity Index (VSI). ETAP 16 software is used for power and harmonic flow simulation. From this research, the most optimal photovoltaic (PV) placement is on bus 10 (bus 283 T) with a maximum capacity of 3255 kVA. This placement location provides minimal power loss and a good voltage profile taking into account the permitted standard THDv.
Optimal PV Placement to Reduce Power Loss and Improve Voltage in Distribution Network System Using K-means Clustering Method Syukri Yunus; Melda Latif; Darwison Darwison
Andalas Journal of Electrical and Electronic Engineering Technology Vol. 2 No. 1 (2022): May 2022
Publisher : Electrical Engineering Dept, Engineering Faculty, Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (475.686 KB) | DOI: 10.25077/ajeeet.v2i1.19

Abstract

Placing the PV in the right location will maintain the utility voltage, but if the placement of PV in the wrong location will cause the stability of the system to be affected. In this study, optimization of PV placement uses the K-means Clustering method. This method will group each node in the system from the point of view of operating characteristics LSF (loss sensitivity factor) and dV (voltage deviation). The results of grouping each bus with the K-means Clustering method will be the basis for determining the location of PV placement in the IEEE 37 and 69 bus distribution systems. In this method, grouping results are used based on the size of the proximity and have the same characteristics with each other. In determining the optimal location for PV placement, the addition of PV will reduce power losses and improve voltage. Optimal PV location placement in the IEEE 37 bus distribution system is placed on 3 buses with a power capacity of 60% where the value of power losses drops to 176.2 kW and the voltage profile is the best but there are some buses that are still under voltage and overvoltage. Meanwhile, the most optimal PV location for the IEEE 69 bus distribution system is placed on a 6 bus with a power capacity of 60% where the value of power losses drops to 149.5 kW and the voltage profile of each bus is in normal condition..
Analyzing Tensile Testing and Humidity Effects on Polyvinyl Alcohol, Polypyrrole Composites for Strain Sensing Syukri Yunus; Rifqi Rafif; Aulia; Mohammad Hafizi Ahmad
Andalas Journal of Electrical and Electronic Engineering Technology Vol. 4 No. 1 (2024): May 2024
Publisher : Electrical Engineering Dept, Engineering Faculty, Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/ajeeet.v4i1.91

Abstract

Biocomposite strain sensors must enhance their electrical properties and understand the impact of humidity on these properties. This study aimed to enhance the current density and specific capacitance of polyvinyl alcohol (PVA) and polypyrrole (Ppy) composite materials for strain sensors. The materials were prepared by blending polyvinyl alcohol and polypyrrole, followed by magnetic stirring, drying, and stretching. Current density and specific capacitance measurements were taken before and after the stretching process and at three distinct relative humidity levels (50%, 75%, and 93%). After the tensile test, the results indicated a significant increase in current density by 128.46% and a corresponding rise in specific capacitance by 112.57%. Furthermore, with an increase in relative humidity from 50% to 75%, current density and specific capacitance exhibited remarkable growth of 445.95% and 899.44%, respectively. The subsequent shift from 75% to 93% relative humidity resulted in a comparatively lower percentage increase in current density and specific capacitance at 22.59% and 10.29%, respectively, due to a decrease in hydroxyl bonds. These findings align with the material's characteristic tests, confirming that the improved electrical properties can be attributed to a more uniform distribution of polypyrrole during the stretching process and increased hydroxyl bonds associated with higher humidity levels. As electrical properties increase, the sensor's sensitivity will also rise.