Thailand Electrical Engineering Journal (TEEJ)

Investigation of charge-recharge optimization in battery energy storge system for minimizing electric bill using particle swarm technique

2025-12-22T11:23:55+07:00

Battery energy storage systems (BESS) are an important part of reducing the level of daily unstable solar fluctuations for photovoltaic (PV) cells and can also reduce the maximum level of power demand. This paper examines the optimal adjustment of BESS charging and discharging behavior by the particle swarm optimization (PSO) technique for reducing the electricity bills of student dormitories at Suranaree University of Technology (SUT). To achieve the lowest electricity cost for the dormitory load, we considered the characteristics of the BESS G-cell 100kW/200kWh. According to the simulation results after BESS behavior, BESS can help store energy from PV during times when PV produces 89% more power than the dormitory needs and reduce the dormitory's electricity bill by 54% compared to the case before the behavior adjustment.

Comparative Study of Switching Techniques Performance for Cascaded H-bridge Multilevel Inverters

2025-12-22T11:28:31+07:00

Phase-shifted and level-shifted switching methods are commonly employed in cascaded H-bridge multilevel inverters. The level-shifted method can also be classified into 3 types, i.e., IPD, APOD, and POD, based on the arrangement of the carrier waveforms. However, each switching method might provide different levels of output voltage and total harmonic distortion, especially in the case of modulation index is modified. Therefore, those switching methods based on SVPWM are investigated and compared in this paper. The effectiveness of switching methods for multilevel inverters is clearly demonstrated by simulation.

Control of a Matrix Converter for Renewable Energy Sources

2025-12-22T11:38:00+07:00

This paper presents the simulation of vector control of a matrix converter fed induction generator for renewable energy sources. Operating principle, indirect space vector PWM of a matrix converter, and vector control of induction generators are presented and discussed. A matrix converter prototype 3 kW, 230V, 50Hz is developed and digitally controlled by using 32-bit microcontrollers TMS320F28069. The experimental results confirm effectiveness of the proposed method.

Moving Target Tracking System for UAV

2025-12-22T12:30:27+07:00

This paper presents the development of the flight capability of unmanned aerial vehicles (UAVs) to track moving targets. Tracking moving targets is a crucial task that requires precision and efficiency to ensure the success of UAV missions. To achieve this, an automatic camera control system is implemented to command the camera's gimbal unit, enabling it to pan and tilt in response to the target's movement. The objective is to capture the moving target within the camera's view, ensuring it remains within the monitor's frame. The camera control system is purposed to keep the image centered on the monitor at all times. The system's effectiveness is evaluated through flight tests, where UAVs track moving targets. The results demonstrate the system's ability to effectively control the camera, preventing the image from going off the monitor and ensuring consistent performance tracking of the target and highlighting its ability to keep the target within the monitor's view throughout the mission.

Low-cost Microcontroller-based Reconfigurable High-complex Chaotic Generator

2025-12-22T12:38:48+07:00

This paper proposed a microcontroller-based high-complex chaotic generator. The proposed chaotic system can generate three different attractors, including 2-scroll, 3-scroll, and high-complex chaotic 4-scroll. The low-cost components include a microcontroller, R2R Ladder, and switches. In chaotic generator uses the modified jerk-based algorithm, which can independently reconfigure the parameters of the nonlinear functions. The experimental and numerical MATLAB simulation results are exhibited and compared, which are agreeable performances. Finally, the proposed system is conveniently applied in many engineering areas, such as cryptography, random robotics, etc.

Analysis of Adaptive Step-size Normalised Least Mean Fourth Algorithm for Spline Adaptive Filtering

2025-12-22T12:44:59+07:00

This paper presents the spline adaptive filtering which the least mean fourth algorithm is used for cost function. Structure of spline adaptive filtering is described shortly. Normalised least mean fourth algorithm for minimised cost function can converge to optimum values with the fast convergence rate. Adaptive step-size algorithm is derived with an adaptive averaging algorithm. Experimental results depict that the proposed spline adaptive filtering based on normalized least mean fourth algorithm with adaptive step-size parameter can reduce the estimated error rate compared with the traditional least mean square algorithm that can dramatically converge to the steady-state.