Kongpol Areerak’s research while affiliated with Suranaree University of Technology and other places

The distorted supply voltage degrades the control performance of a unified power quality conditioner (UPQC). This problem causes incorrect calculations in the harmonic identification and reference signal generation processes. This paper proposes a modified harmonic identification of the UPQC. The reference compensating current calculation for the shunt active power filter (shunt APF) is developed using the sliding window with the Fourier analysis (SWFA) method. In addition, the variable power angle control (PAC) is applied to operate the reference signal generation of the series APF and the shunt APF of the UPQC. Under the distorted voltage and nonlinear load conditions, the proposed approach can provide accurate reference compensating signals and successfully share the load reactive power compensation between the shunt APF and the series APF. In this work, a three-phase, three-wire power system with linear and nonlinear loads was implemented. The proposed method was validated using the processor-in-the-loop technique on an eZdsp™ F28335 board and the MATLAB/Simulink program. The testing results indicated that SWFA has excellent filtering performance and enhances harmonic identification compared to the operation without any filter or with low pass filters (LPF). With the proposed approach, the percentage of total harmonic distortion of voltage and current could be maintained within the IEEE519-2022 standard, and the magnitude of the RMS voltage across the load was in the recommended range specified by ANSI C84.1-2016.

In this paper, the online estimation of three-phase induction motor parameters using an extended Kalman filter for energy saving is proposed. The optimal value of the stator current on the d-axis is calculated to obtain the minimum power loss. Accurate motor parameters are required to calculate the optimal stator current value for energy saving. Hence, to estimate motor parameters in real time, an online estimator known as the extended Kalman filter is applied. The energy consumption results for the motor using the proposed approach (estimated parameters with extended Kalman filter) are compared with those obtained using the conventional approach and energy saving (fixed parameters without parameter estimation) approach. As revealed by the comparison results from implementation in a laboratory, the proposed approach can provide minimum power losses for the three-phase induction motor drive, and the maximum energy-saving percentage is 60.18% compared with using the conventional drive approach.

This paper presents the mathematical model of DCMGs with PV arrays for traction substation in heavy rail systems. The considered power system consists of many power converters in which the dynamic model is time-varying due to the switching actions inside the power converters. The time-varying model is not useable for the system analysis and design. Hence, this paper describes the way how to derive the time-invariant model using the combination between DQ and GSSA methods. The simulation results using the SimPowerSystem® block set on MATLAB are used to validate the proposed model. The results show that the proposed model can provide the accurate transient and steady-state responses. Moreover, simulations using the proposed model can reduce the simulation time by 72% in comparison with the exact topological model of MATLAB. The resulting averaged models are also very useful for studies of dynamic behavior of complex power systems

An important reflection of the overall efficiency, reliability, and passenger safety of a more electric aircraft (MEA) is the output performance of its electrical power system (EPS) controller. This output performance encompasses the rise time, setting time, and percent undershoot of the voltage across the capacitor bank. Therefore, this article presents an optimal controller design using an artificial intelligence method called the adaptive tabu search (ATS) algorithm. The state-variables-averaging model is applied with the ATS algorithm to reduce computational time. Moreover, stability analysis based on the eigenvalue theorem is used as the penalty condition during the searching process to avoid unstable operation. The output performance of the proposed controller design is superior to that of the conventional controller design. All design results are verified by good agreement with MATLAB and hardware-in-the-loop (HIL) simulations.

Power converters with tightly regulations are known to behave as constant power loads, which can degrade the stability of the system. Therefore, system stabilization using the pole placement technique, in which the feedback gains are optimized by the adaptive Tabu search (ATS) algorithm, is introduced in this paper. Additionally, the averaging model of the power converter is used to compute the system response and eigenvalues during the searching process. Therefore, better output responses can be provided by the resulting feedback gains than those designed by the conventional method. Moreover, the application of the pole placement technique designed by the ATS algorithm confirms the operation of the system under stable conditions. The effectiveness of the proposed design technique is verified using simulation and experimental results.