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Parinya, Panom,Sangswang, Anawach,Kirtikara, Krissanapong,Chenvidhya, Dhirayut The Korean Institute of Electrical Engineers 2018 Journal of Electrical Engineering & Technology Vol.13 No.3
This paper proposes an alternative method to evaluate the effect of wind power to the power system stability with small disturbance. Alternatively, available techniques for stability analysis of a power system based on deterministic methods are less accurate for high penetration of wind power. Numerical simulations of random behaviors are computationally expensive. A stochastic stability index (SSI) is proposed for the power system stability evaluation based on the theory of stochastic stability and energy function, specifically the stochastic derivative of the relative well-defined energy function and the critical energy. The SSI is implemented on the modified nine-bus system including wind turbines under different conditions. A doubly-fed induction generator (DFIG) wind turbine is characterized and modeled using measured wind data from several sites in Thailand. Each of the obtained wind power data is analyzed. The wind power effect is modeled considering the aggregated effect of wind turbines. With the proposed method, the system behavior is properly predicted and the stability is quantitatively evaluated with less computational effort compared with conventional numerical simulation methods.
Nopporn Patcharaprakiti,Krissanapong Kirtikara,Veerapol Monyakul,Dhirayut Chenvidhya,Jatturit Thongpron,Anawach Sangswang,Ballang Muenpinij 한국물리학회 2010 Current Applied Physics Vol.10 No.3
This paper proposes a new method to modeling a power inverter of grid-connected photovoltaic system by using a nonlinear system identification technique based on the Hammerstein–Weiner model. In this method, the system is considered as a black box of which it is not necessary to know structures and parameters inside. A nonlinear system identification, which is composed of nonlinear blocks and linear blocks, has been processed and synthesized yielding the modeling from only measured inputs and outputs of the system. An inverter of a grid-connected photovoltaic system has been tested and its model determined. Results on modeling the voltage, current and power waveforms have accuracies of 98.13%,95.02% and 91.05% respectively. The mathematical model being the representation of the system can be analyzed and provide characteristics on controllability, stability, power quality, power flow.
PLDs Implementation of Islanding Detection for Grid Connected Inverter
Khanchai Tunlasakun,Krissanapong Kirtikara,Sirichai Thepa,Veerapol Monyakul 제어로봇시스템학회 2008 제어로봇시스템학회 국제학술대회 논문집 Vol.2008 No.10
This paper presents the programmable logic devices implementation of islanding detection for grid connected inverter with under/over voltage and under/over frequency islanding detection algorithms. The design are based on the field programmable gate array (FPGA) and the complex programmable logic device (CPLD). The logic circuits inside PLDs chip are design, implementation, testing and debugging by software development without hardware modification. The prototypes of PLDs for islanding detection are monitor the grid voltage and grid frequency at the point of common coupling (PCC) between the grid connected inverter, the local load and the distribution transformer and processed the value of voltage and frequency for turned on ?off relay between grid connected inverter and utility grid. The results of study, the prototypes can turn off relay when the voltage is change under 200V or over 240V and frequency is change under 48Hz or over 52Hz. The FPGA-based is operated faster and high capacity than CPLD-based but the cost of design is higher.
Panom Parinya,Anawach Sangswang,Krissanapong Kirtikara,Dhirayut Chenvidhya 대한전기학회 2018 Journal of Electrical Engineering & Technology Vol.13 No.3
This paper proposes an alternative method to evaluate the effect of wind power to the power system stability with small disturbance. Alternatively, available techniques for stability analysis of a power system based on deterministic methods are less accurate for high penetration of wind power. Numerical simulations of random behaviors are computationally expensive. A stochastic stability index (SSI) is proposed for the power system stability evaluation based on the theory of stochastic stability and energy function, specifically the stochastic derivative of the relative well-defined energy function and the critical energy. The SSI is implemented on the modified nine-bus system including wind turbines under different conditions. A doubly-fed induction generator (DFIG) wind turbine is characterized and modeled using measured wind data from several sites in Thailand. Each of the obtained wind power data is analyzed. The wind power effect is modeled considering the aggregated effect of wind turbines. With the proposed method, the system behavior is properly predicted and the stability is quantitatively evaluated with less computational effort compared with conventional numerical simulation methods.
Krisana, Asano,Rutchadaporng, Sriprang,Jarupan, Gobsuk,Lily, Eurwilaichitr,Sutipa, Tanapongpipat,Kanyawim, Kirtikara Korean Society for Biochemistry and Molecular Biol 2005 Journal of biochemistry and molecular biology Vol.38 No.1
During the screening of xylanolytic enzymes from locally isolated fungi, one strain BCC14405, exhibited high enzyme activity with thermostability. This fugal strain was identified as Aspergillus cf. niger based on its morphological characteristics and internal transcribed spacer (ITS) sequences. An enzyme with xylanolytic activity from BCC14405 was later purified and characterized. It was found to have a molecular mass of ca. 21 kDa, an optimal pH of 5.0, and an optimal temperature of $55^{\circ}C$. When tested using xylan from birchwood, it showed $K_m$ and $V_{max}$ values of 8.9 mg/ml and 11,100 U/mg, respectively. The enzyme was inhibited by $CuSO_4$, EDTA, and by $FeSO_4$. The homology of the 20-residue N-terminal protein sequence showed that the enzyme was an endo-1,4-$\beta$-xylanase. The full-length gene encoding endo-1,4-$\beta$-xylanase from BCC14405 was obtained by PCR amplification of its cDNA. The gene contained an open reading frame of 678 bp, encoding a 225 amino acid protein, which was identical to the endo-1,4-$\^{a}$-xylanase B previously identified in A. niger.
( Asano Krisana ),( Sriprang Rutchadaporn ),( Gobsuk Jarupan ),( Eurwilaichitr Lily ),( Tanapongpipat Sutipa ),( Kirtikara Kanyawim ) 생화학분자생물학회 2005 BMB Reports Vol.38 No.1
During the screening of xylanolytic enzymes from locally isolated fungi, one strain BCC14405, exhibited high enzyme activity with thermostability. This fugal strain was identified as Aspergillus cf. niger based on its morphological characteristics and internal transcribed spacer (ITS) sequences. An enzyme with xylanolytic activity from BCC14405 was later purified and characterized. It was found to have a molecular mass of ca. 21 kDa, an optimal pH of 5.0, and an optimal temperature of 55℃. When tested using xylan from birchwood, it showed K_(m) and V_(max) values of 8.9 mg/ml and 11,100 U/mg, respectively. The enzyme was inhibited by CuSO₄, EDTA, and by FeSO₄. The homology of the 20-residue N-terminal protein sequence showed that the enzyme was an endo-1,4-β-xylanase. The full-length gene encoding endo-1,4-β-xylanase from BCC14405 was obtained by PCR amplification of its cDNA. The gene contained an open reading frame of 678 bp, encoding a 225 amino acid protein, which was identical to the endo-1,4-a^-xylanase B previously identified in A. niger.