Wunna Swe
Mandalay Technological University, Myanmar

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FCS-MPC Strategy with Region-Based Voltage Vector Selection and Kalman Filtering in Shunt Active Power Filters for Power Quality Enhancement Hnin Ei Phyu; Wunna Swe
The Indonesian Journal of Computer Science Vol. 15 No. 2 (2026): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v15i2.5095

Abstract

Power quality issues caused by nonlinear and unbalanced loads, such as harmonics, reactive power demand, and current imbalance, pose significant challenges in modern distribution networks. Shunt Active Power Filters (SAPFs) provide an effective solution, but their performance depends on advanced control strategies. This study proposes a hybrid approach that integrates Finite Control Set Model Predictive Control (FCS-MPC) with region-based voltage vector selection to achieve fast dynamic response and reduced switching losses. The grid voltage cycle is divided into six regions, with only four candidate vectors evaluated per region, minimizing computational complexity. A Kalman filter further enhances prediction accuracy by mitigating measurement noise and control delays. MATLAB/Simulink implementation on a low-voltage distribution network demonstrates effective harmonic suppression, balanced source currents, and robust performance under sudden load variations. Results confirm IEEE 519 compliance, ensuring practical and reliable power quality improvement in smart grids.
Energy Management of Grid Connected PV-Wind-Battery Hybrid Power Supply System Using Model Predictive Control Hnin Nwe; Wunna Swe
The Indonesian Journal of Computer Science Vol. 15 No. 3 (2026): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v15i3.5097

Abstract

The increasing integration of renewable energy sources into modern power systems presents significant challenges in energy management due to their intermittent and uncertain nature. This paper proposes an energy management strategy for a grid connected photovoltaic (PV), wind and battery hybrid system based on Model Predictive Control (MPC). The main objectives are to enhance system efficiency, minimize grid power exchange and extend battery lifetime while ensuring reliable load supply. The proposed MPC-based EMS employs short-term forecasts of renewable generation and load demand to optimize power dispatch under system constraints. Its performance is evaluated and compared with a conventional rule-based EMS using MATLAB/Simulink. The results indicate that the MPC-based approach achieves smoother battery operation, improved state-of-charge regulation, enhanced renewable energy utilization and reduced grid dependency. Therefore, the proposed strategy provides on effective solution for advanced hybrid renewable energy systems.
Comparative Analysis of Fluidized Bed and Plasma Gasifier for Industrial Power Supply System Thet Aung; Wunna Swe
The Indonesian Journal of Computer Science Vol. 15 No. 2 (2026): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v15i1.5098

Abstract

The increasing demand for reliable industrial power generation has driven interest in gasification-based waste-to-energy technologies. This study compares fluidized bed and plasma gasifiers with a focus on electrical power performance. A steady-state energy analysis was conducted to evaluate syngas quality, cold gas efficiency, net electrical output, and overall electrical efficiency under similar operating conditions. Results indicate that fluidized bed gasification achieves higher net electrical efficiency and lower auxiliary power consumption, while plasma gasification provides greater feedstock flexibility. The study supports technology selection for industrial power applications. The power that can be generated from a fluidized bed gasifier and a plasma gasifier has been compared and presented using MATLAB