JEEE-U (Journal of Electrical and Electronic Engineering-UMSIDA)

Optimization of Harmony Improvement in Led Lights Using The MQPSO Method

2024-11-11T11:03:13+00:00

Currently, there are many types of lighting used in the lighting field, one of which is LED lighting. Harmonics is a phenomenon in the electrical system that causes quality disturbances because the current waveform or voltage of the power source is distorted and can cause disturbances in the electrical system. In this research, mathlab was used with the MQPSO method to optimize LED lamp harmonics and reduce the THD value. This method uses a series of LED lighting components to optimize harmonic values. The components that make up the LED light circuit in question are resistors, capacitors and inductors. The optimization results show the best R, L, and C values in the 53rd swarm (particle), and convergence values are achieved in the 17th iteration with a fitness value of 0.5 and an R1 value of 550 Ω, and R2 530 Ω, R3 220 Ω, C1 1.0409 μF, C2 1.0117 μF, C3 1.0221 μF, L1 4.9984 H. The resulting THD and C-RMS values are 1.4901% and 61.674%.

Analysis of The Impact of Temperature and Discharge Current on The Efficiency of LiFePO4 Batteries in Solar Charging Stations

2024-11-11T11:03:14+00:00

The demand for electrical energy is increasing, along with technological advancements and population growth. Many countries still rely on petroleum, coal, and aerosol gasoline, exacerbating global warming. Electric vehicles offer a promising solution to reduce greenhouse gas emissions and dependence on fossil fuels, although their primary challenge is the availability of charging infrastructure. Solar-powered electric motor charging stations can help reduce electricity demand and global warming. An efficient charging system is needed to analyse the impact of temperature and discharge current on the energy produced to achieve this. Several load tests and temperature measurements over 5 days were conducted to cluster temperatures occurring throughout a full day. The tests using data acquisition showed energy losses caused by the effect of temperature on the charging station's storage battery. Energy efficiency graphs for each test case indicated a varied decrease in energy efficiency, with higher efficiency at lower temperatures and smaller energy losses compared to other temperatures. The load amount also affects the magnitude of energy losses. At a 500W load, the average energy loss was 46Wh, while at a 1000W load, the average energy loss was 52Wh per hour of testing the storage battery discharge. In summary, temperature and load amount can affect energy efficiency and the resulting losses.

Performance Analysis of the 1 MW Rooftop Solar Power Generation System at the Karawang

2024-11-11T11:03:11+00:00

Electric energy is crucial for development, with Indonesia's projected electricity demand reaching 120 GW by 2025. The National Energy Policy emphasizes the development of renewable energy, particularly Solar Power Plants (PLTS), which have rapidly advanced with increased efficiency and reduced production costs. PLTS has become an attractive option, especially in areas with high solar intensity, for applications such as home lighting and vaccine storage. The target PLTS capacity is 400 MW by 2024. Despite growing popularity, challenges such as high initial costs and efficiency in unstable weather conditions remain. Research shows that environmental factors and shading can affect PLTS performance. This study analyzes the performance of a 1 MW PLTS system at a ceramic factory in Karawang using Global Solar Atlas and PVsyst for simulation and comparison with field data. Simulation results indicate optimal power production >90% with a performance ratio between 81.90% and 84.70%. The built PLTS shows a stable performance ratio above 79%, with power production differing by <10% compared to PVsyst simulation, demonstrating system reliability in actual operational conditions. This research underscores the importance of environmental factors in PLTS design and operation to achieve maximum efficiency.

Electric Bicycle Battery Charging System Design Using Solar Panel

2024-11-11T11:03:12+00:00

This solar-powered electric bicycle charging system design and development uses solar panels as a renewable energy source to charge the battery, which drives the electric motor. The system consists of four main components: solar panel, solar charge controller, battery, and electric motor. The solar panels are connected in parallel to generate 36V, which is then stored in the battery. The system is designed to optimize energy harvesting and reduce dependence on fossil fuels. Testing was conducted with research stages, including system design, hardware implementation, and testing. The results show that the system can charge the battery efficiently, with a charging time of 3 hours. The system was also tested under different conditions, including morning, afternoon, and night, to evaluate its performance. It can be concluded that the solar-powered electric bicycle charging system is a viable alternative to traditional fossil fuel-based systems. The system is environmentally friendly, reduces energy dependence, and provides a sustainable solution for transportation. The results of this research can be used to develop a more efficient and sustainable transportation system.

DC Motor Speed Control using Particle Swarm Optimization based on Labview

2024-11-11T11:03:15+00:00

In Industrial applications, DC motors are commonly applied because of high reliability, ease of control and ability to provide accurate speed. However, to get accurate speed control under several operation conditions such as disturbances and changes in the load is significant challenge. This research explores the implementation of particle swarm optimization (PSO) to tune parameters of proportional-integral (PI) controller. PSO that is a population-based optimization technique, is inspired by the social behavior of swarms. It is a population-based optimization technique. By automation process in the algorithm. Using the tuning process of PSO, it can effectively obtain the parameters of PI controller. experimental hardware using DIGIAC 1750 is used to assess the performance of the proposed method. The parameters of and are 0.7492 and 0.2007, respectively. The results show that the performance of the DC motor using PSO tuned by PI for , , and are 0.3687 s, 0.5106 s, and 0.6051 s, respectively. Furthermore, when the system is given a disturbance, the response can come back again following the setpoint and when the setpoint is changed, the response can follow the setpoint quickly as well. The proposed method can address the challenges associated with DC motor speed control.