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- 저자 : Baojin Liu (검색결과 2 건)
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Load Power Estimation Based Secondary Control for Microgrids
Teng Wu,Jinjun Liu,Zeng Liu,Shike Wang,Baojin Liu 전력전자학회 2015 ICPE(ISPE)논문집 Vol.2015 No.6
The well-known active power-frequency and reactive power-voltage amplitude droop control is widely used in the coordinative control of parallel inverters in microgrids. However, this conventional droop method may cause frequency and voltage deviation, which affects the accuracy of power supply. This paper proposes a novel secondary control strategy to compensate this deviation. This strategy mimics the Master-Slave control but requires no communication lines among the parallel inverters. The master inverter adopts conventional droop method (using power to control frequency and voltage amplitude) and is controlled as a voltage source while the slave inverters adopt reversed droop method (using frequency and voltage amplitude to control power) and are controlled as current sources. The droop characteristic bias of slave inverters is designed online based on the estimation of load power demand. Through this method, frequency and voltage deviation can be eliminated and power sharing can be realized among all the slave inverters. Simulation and experimental results are provided to prove the effectiveness of the proposed control strategy.
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Meichen Liu,Yu Zhao,Baojin Yao,Hui Zhang,Huanyu Guo,Dongyang Hu,Qun Wang 한국유전학회 2014 Genes & Genomics Vol.36 No.5
The most commonly used normalization strategyfor quantitative real-time reverse transcription-polymerasechain reaction (RT-qPCR) is to select a stablereference gene. However, to date, no suitable referencegenes have been identified in sika deer antler tissues. Thus,the aim of this study was to identify the most stable gene ora set of genes to be used as reference genes for RT-qPCRanalysis in sika deer antler tissues. We first selected candidatereference genes using sika deer antler gene expressiondata from an Illumina sequencing platform (Hiseq2000); twenty-one reference genes from the antler tips ofChinese sika deer were selected to test for the normalizationof expression levels during different growth stages. These genes were tested by RT-qPCR and ranked accordingto the stability of their expression using two differentmethods (implemented in geNorm and NormFinder). Based on different algorithms and analytical procedures,our results clearly indicate RPL40 and Gpx as the moststable reference genes of our pool.
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