A Virtual Resistance Based Reactive Power Sharing Strategy for Networked Microgrid

Yixin Zhu,Baoquan Liu,Feng Wang,Fang Zhuo,Yangjie Zhao 전력전자학회 2015 ICPE(ISPE)논문집 Vol.2015 No.6

Different from the traditional microgrid with a common ac bus, networked microgrid always suffers more serious reactive power sharing problems due to its complex inner configurations. In such a situation, the reactive power sharing errors among distributed generation (DG) units can’t be eliminated effectively. Thus, an advanced reactive power sharing strategy that employs communication and virtual resistance control is hereby proposed for networked microgrid. First of all, the relation between reactive power output and virtual impedance regulation (VRR) is discussed. After that, communication is introduced to assign reactive power reference to each DG unit for their respective VRR, which is able to compensate the mismatch in network. The method is immune to the load change during the regulation stage, and also to the time delay in communication channels. From the small signal analysis, it also can be seen that in the designed regulation range, VRR has no significant effect on the system stability. The feasibility and effectiveness of the proposed strategy are validated by the simulation and real time digital simulator (RTDS) test results from a 50 kVA networked microgrid system.

Hepatotoxic mechanism of diclofenac sodium on broiler chicken revealed by iTRAQ-based proteomics analysis

Sun, Chuanxi,Zhu, Tianyi,Zhu, Yuwei,Li, Bing,Zhang, Jiaming,Liu, Yixin,Juan, Changning,Yang, Shifa,Zhao, Zengcheng,Wan, Renzhong,Lin, Shuqian,Yin, Bin 대한수의학회 2022 Journal of Veterinary Science Vol.23 No.3

Background: At the therapeutic doses, diclofenac sodium (DFS) has few toxic side effects on mammals. On the other hand, DFS exhibits potent toxicity against birds and the mechanisms remain ambiguous. Objectives: This paper was designed to probe the toxicity of DFS exposure on the hepatic proteome of broiler chickens. Methods: Twenty 30-day-old broiler chickens were randomized evenly into two groups (n = 10). DFS was administered orally at 10mg/kg body weight in group A, while the chickens in group B were perfused with saline as a control. Histopathological observations, serum biochemical examinations, and quantitative real-time polymerase chain reaction were performed to assess the liver injury induced by DFS. Proteomics analysis of the liver samples was conducted using isobaric tags for relative and absolute quantification (iTRAQ) technology. Results: Ultimately, 201 differentially expressed proteins (DEPs) were obtained, of which 47 were up regulated, and 154 were down regulated. The Gene Ontology classification and Kyoto Encyclopedia of Genes and Genomes pathway analysis were conducted to screen target DEPs associated with DFS hepatotoxicity. The regulatory relationships between DEPs and signaling pathways were embodied via a protein-protein interaction network. The results showed that the DEPs enriched in multiple pathways, which might be related to the hepatotoxicity of DFS, were "protein processing in endoplasmic reticulum," "retinol metabolism," and "glycine, serine, and threonine metabolism." Conclusions: The hepatotoxicity of DFS on broiler chickens might be achieved by inducing the apoptosis of hepatocytes and affecting the metabolism of retinol and purine. The present study could provide molecular insights into the hepatotoxicity of DFS on broiler chickens.

Rational Design and Molecular Engineering of Peptide Aptamers to Target Human Pancreatic Trypsin in Acute Pancreatitis

Weiyi Shao,Wenxian Zhu,Yanhua Wang,Jingwei Lu,Ge Jin,Yixin Wang,Wenli Su 한국생물공학회 2016 Biotechnology and Bioprocess Engineering Vol.21 No.1

Human pancreatic trypsin (hPT) is an established target for acute pancreatitis (AP) therapeutics. Here, a bioinformatics protocol of protein docking, peptide refinement, dynamics simulation and affinity analysis was described to perform rational design and molecular engineering of hPT peptide aptamers. Protein docking was employed to model the intermolecular interactions between hPT and its cognate inhibitory protein, the human pancreatic trypsin inhibitor (hTI). A number of peptide fragments were cut out from the interaction sites of docked hPT–hTI complexes, from which a decapeptide fragment 13LNGCTLEYRP22 was found to exhibit potent inhibition against hPT (Ki = 5.3 ± 0.8 μM). We also carried out alanine scanning and virtual mutagenesis to systematically examine the independent contribution of peptide residues to binding affinity, and the harvested knowledge were then used to guide modification and optimization of the decapeptide fragment. Subsequently, inhibition studies of nine promising candidates against recombinant hPT were conducted, from which four samples were successfully identified to have high or moderate potency (Ki < 10 μM). In particular, the peptides LQVCTLEYCN and LQICTLEYCT were found to inhibit hPT activity significantly (Ki = 0.23 ± 0.04 and 0.85 ± 0.18 μM, respectively). Structural analysis of hPT– peptide complex systems unraveled diverse chemical interactions such as hydrogen bonds, salt bridges and hydrophobic forces across the complex interfaces.

Hepatotoxic mechanism of diclofenac sodium on broiler chicken revealed by iTRAQ-based proteomics analysis

Chuanxi Sun,Tianyi Zhu,Yuwei Zhu,Bing Li,Jiaming Zhang,Yixin Liu,Changning Juan,Shifa Yang,Zengcheng Zhao,Renzhong Wan,Shuqian Lin,Bin Yin 대한수의학회 2022 Journal of Veterinary Science Vol.23 No.4

Background: At the therapeutic doses, diclofenac sodium (DFS) has few toxic side effects on mammals. On the other hand, DFS exhibits potent toxicity against birds and the mechanisms remain ambiguous. Objectives: This paper was designed to probe the toxicity of DFS exposure on the hepatic proteome of broiler chickens. Methods: Twenty 30-day-old broiler chickens were randomized evenly into two groups (n = 10). DFS was administered orally at 10 mg/kg body weight in group A, while the chickens in group B were perfused with saline as a control. Histopathological observations, serum biochemical examinations, and quantitative real-time polymerase chain reaction were performed to assess the liver injury induced by DFS. Proteomics analysis of the liver samples was conducted using isobaric tags for relative and absolute quantification (iTRAQ) technology. Results: Ultimately, 201 differentially expressed proteins (DEPs) were obtained, of which 47 were up regulated, and 154 were down regulated. The Gene Ontology classification and Kyoto Encyclopedia of Genes and Genomes pathway analysis were conducted to screen target DEPs associated with DFS hepatotoxicity. The regulatory relationships between DEPs and signaling pathways were embodied via a protein-protein interaction network. The results showed that the DEPs enriched in multiple pathways, which might be related to the hepatotoxicity of DFS, were “protein processing in endoplasmic reticulum,” “retinol metabolism,” and “glycine, serine, and threonine metabolism.” Conclusions: The hepatotoxicity of DFS on broiler chickens might be achieved by inducing the apoptosis of hepatocytes and affecting the metabolism of retinol and purine. The present study could provide molecular insights into the hepatotoxicity of DFS on broiler chickens.

A novel bio-inspired approach with multi-resolution mapping for the path planning of multi-robot system in complex environments

Yi Xin,Zhu Anmin,Li Chaofan,Yang Simon X 한국CDE학회 2022 Journal of computational design and engineering Vol.9 No.6

For multi-robot systems (MRSs), conventional path planning with single resolution mapping is challenging to balance information and computation. Regarding path planning of MRS, the previous research lacked systematic definition, quantitative evaluation, and the consideration of complex environmental factors. In this paper, a new systematic formulation is proposed to redefine the multi-robot path planning problem in complex environments, and evaluate the related solutions of this problem. To solve this problem, a novel bio-inspired approach based on reaction-diffusion system is given to deal with the path planning of MRS in complex environments, such as electromagnetic interference, ocean currents, and so on. Furthermore, a multi-layer neural dynamic network is proposed to describe environments with multiple resolutions, which can improve time performance while ensuring the integrity of environmental information. Comparative experimental results indicate that the proposed approach shows the excellent path planning performance of MRS in complex environments. The stability of the proposed method is determined by the mathematical basis.