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| 1 | FABP4 secreted by M1-polarized macrophages promotes synovitis and angiogenesis to exacerbate rheumatoid arthritis显示文摘Increasing evidence shows that adipokines play a vital role in the development of rheumatoid arthritis(RA).Fatty acid-binding protein 4(FABP4),a novel adipokine that regulates inflammation and angiogenesis,has been extensively studied in a variety of organs and diseases.However,the effect of FABP4 on RA remains unclear.Here,we found that FABP4 expression was upregulated in synovial M1-polarized macrophages in RA.The increase in FABP4 promoted synovitis,angiogenesis,and cartilage degradation to exacerbate RA progression in vivo and in vitro,whereas BMS309403(a FABP4 inhibitor)and anagliptin(dipeptidyl peptidase 4 inhibitor)inhibited FABP4 expression in serum and synovial M1-polarized macrophages in mice to alleviate RA progression.Further studies showed that constitutive activation of mammalian target of rapamycin complex 1(mTORC1)by TSC1 deletion specifically in the myeloid lineage regulated FABP4 expression in macrophages to exacerbate RA progression in mice.In contrast,inhibition of mTORC1 by ras homolog enriched in brain(Rheb1)disruption specifically in the myeloid lineage reduced FABP4 expression in macrophages to attenuate RA development in mice.Our findings established an essential role of FABP4 that is secreted by M1-polarized macrophages in synovitis,angiogenesis,and cartilage degradation in RA.BMS309403 and anagliptin inhibited FABP4 expression in synovial M1-polarized macrophages to alleviate RA development.Hence,FABP4 may represent a potential target for RA therapy. | Dong Guo Chuangxin Lin Yuheng Lu Hong Guan Weizhong Qi Hongbo Zhang Yan Shao Chun Zeng Rongkai Zhang Haiyan Zhang Xiaochun Bai Daozhang Cai | 2022 | Bone Research2022，10，4： | 5 |
| 2 | Modeling cascading failures and mitigation strategies in PMU based cyber-physical power systems显示文摘This paper presents a model of cascading failures in cyber-physical power systems(CPPSs) based on an improved percolation theory, and then proposes failure mitigation strategies. In this model, the dynamic development of cascading failures is divided into several iteration stages. The power flow in the power grid, along with the data transmission and delay in the cyber layer, is considered in the improved percolation theory. The interaction mechanism between two layers is interpreted as the observability and controllability analysis and data update analysis influencing the node state transformation and security command execution. The resilience indices of the failures reflect the influence of cascading failures on both topological integrity and operational state. The efficacy of the proposed mitigation strategies is validated, including strategies to convert some cyber layer nodes into autonomous nodes and embed unified power flow controller(UPFC) into the physical layer. The results obtained from simulations of cascading failures in a CPPS with increasing initial failure sizes are compared for various scenarios.Dynamic cascading failures can be separated into rapid and slow processes. The interdependencies and gap between the observable and controllable parts of the physical layer with the actual physical network are two fundamental reasons for first-order transition failures. Due to the complexity of the coupled topological and operational relations between the two layers, mitigation strategies should be simultaneously applied in both layers. | Yuqi HAN Chuangxin GUO Shiying MA Dunwen SONG | 2018 | Journal of Modern Power Systems and Clean Energy2018，6，5： | 5 |
| 3 | System resilience enhancement: Smart grid and beyond显示文摘Boosting the resilience of power systems is a core requirement of smart grids. In fact, resilience enhancement is crucial to all critical infrastructure systems.In this study, we review the current research on system resilience enhancement within and beyond smart grids. In addition, we elaborate on resilience definition and resilience quantification and discuss several challenges and opportunities for system resilience enhancement. This study aims to deepen our understanding of the concept of resilience and develop a wide perspective on enhancing the system resilience for critical infrastructures. | Gang HUANG Jianhui WANG Chen CHEN Chuangxin GUO Bingquan ZHU | 2017 | Frontiers of Engineering Management2017，4，3： | 2 |
| 4 | Impact analysis of human factors on power system operation reliability显示文摘Along with the improvement of electrical equipment reliability,people’s unsafe behaviors and human errors have become one of main sources of risks in power systems.However,there is no comprehensive study on human factors and human reliability analysis in power systems.In allusion to this situation,this paper attempts to analyze the impact of human factors on power system reliability.First,this paper introduces current situation of human factors in power systems and the latest research progress in this field.Several analysis methods are proposed according to specified situations,and these methods are verified by some power system practical cases.On this base,this paper illustrates how human factors affect power system operation reliability from 2 typical aspects:imperfect maintenance caused by human errors,and impact of human factors on emergency dispatch operation and power system cascading failure.Finally,based on information decision and action in crew(IDAC),a novel dispatcher training evaluation simulation system(DTESS)is established,which can incorporate all influencing factors.Once fully developed,DTESS can be used to simulate dispatchers’response when encountering an initial event,and improve power system dispatching reliability. | Yingkai BAO Chuangxin GUO Jinjiang ZHANG Jiaxin WU Suhong PANG Zhiping ZHANG | 2018 | Journal of Modern Power Systems and Clean Energy2018，6，1： | 1 |
| 5 | Short - term Load Forecasting Using a New Fuzzy Modeling Strategy显示文摘 | BIN YE CHUANGXIN GUO YIJIA CAO | 2004 | Fifth World Congress on Intelligent Control and Automation(WCICA 2004)2004，6，6： | 1 |
| 6 | A fault diagnosis method for transformer integrating rough set with fuzzy rules显示文摘 | Wang Zhiyong Guo Chuangxin Jiang Quanyuan | 2006 | Transaction of the Insitute of Measurement and Control2006，28，3： | 1 |
| 7 | Economic dispatch with non-smooth objectives,part I:local minimum analysis显示文摘 | Junpeng Zhan Wu Q H Chuangxin Guo | 2015 | IEEE Transactions on Power Systems2015，30，2： | 1 |
| 8 | Fast l-iteration method for economic dispatch with prohibited operating zones显示文摘 | Zhan Junpeng Wu Qinghua Guo Chuangxin | 2014 | IEEE Transactions on Power Systems2014，29，2： | 1 |
| 9 | Economic dispatch with non-smooth objectives,part II:dimensional steepest decline method显示文摘 | Junpeng Zhan Wu Q H Chuangxin Guo | 2015 | IEEE Transactions on Power Systems2015，30，2： | 1 |
| 10 | Enhanced security-constrained OPF with distributed battery energy storage显示文摘 | Yun Fengwen Chuangxin Guo Daniel S K | | IEEE Transactions on Power Systems0，，： | 1 |
| 11 | A Fault Diagnosis Method for Transformer Integrating Rough Set with Fuzzy Rules 显示文摘 | Wang Zhiyong Guo Chuangxin Jiang Quanyuan | 2006 | Transaetions of the Iustitute of Measurement and Control2006，28，3： | 1 |
| 12 | An efficient implementation of automatic differentiation in interior point optimal power flow显示文摘 | JIANG Quanyuan GENG Guangchao GUO Chuangxin | 2010 | IEEE Transactions on Power Systems2010，25，1： | 1 |
| 13 | A fault diagnosis method for transformer integrating rough set with fuzzy rules显示文摘 | Wang Zhiyong Guo Chuangxin Jiang Quanyuan | 2006 | Transaction of the Institute of Measurement and Control2006，28，3： | 1 |
| 14 | Optimal power flow using particle swarm optimization and nonstationary multi-stage assignment penalty function显示文摘 | Zhao Bo Guo Chuangxin Cao Yijia | 2005 | Transactions of China Eleetrotechnical Society2005，20，5： | 1 |
| 15 | An efficient implementation of automatic differentiation in interior point optimal power flow显示文摘 | Jiang Quanyuan Geng Guangchao Guo Chuangxin et a | 2010 | IEEE Trans on Power Systems2010，25，1： | 1 |
| 16 | A fault diagnosis method for transformer integrating rough set with fuzzy rules 显示文摘 | Wang Zhiyong Guo Chuangxin Jiang Quanyuan | 2006 | Transaction of the Institute of Measurement and Control2006，，28： | 1 |
| 17 | Fully Distributed Risk-based Robust Reserve Scheduling for Bulk Hybrid AC-DC Systems显示文摘To enhance the cost-effectiveness of bulk hybrid AC-DC power systems and promote wind consumption,this paper proposes a two-stage risk-based robust reserve scheduling(RRRS)model.Different from traditional robust optimization,the proposed model applies an adjustable uncertainty set rather than a fixed one.Thereby,the operational risk is optimized together with the dispatch schedules,with a reasonable admissible region of wind power obtained correspondingly.In addition,both the operational base point and adjustment capacity of tielines are optimized in the RRRS model,which enables reserve sharing among the connected areas to handle the significant wind uncertainties.Based on the alternating direction method of multipliers(ADMM),a fully distributed framework is presented to solve the RRRS model in a distributed way.A dynamic penalty factor adjustment strategy(DPA)is also developed and applied to enhance its convergence properties.Since only limited information needs to be exchanged during the solution process,the communication burden is reduced and regional information is protected.Case studies on the 2-area 12-bus system and 3-area 354-bus system illustrate the effectiveness of the proposed model and approach. | Zhe Chen Shufeng Dong Chuangxin Guo Yi Ding Hangyin Mao | 2023 | CSEE Journal of Power and Energy Systems2023，9，2： | 0 |
| 18 | Smart grid dispatch powered by deep learning:a survey显示文摘Power dispatch is a core problem for smart grid operations.It aims to provide optimal operating points within a transmission network while power demands are changing over space and time.This function needs to be run every few minutes throughout the day;thus,a fast,accurate solution is of vital importance.However,due to the complexity of the problem,reliable and computationally efficient solutions are still under development.This issue will become more urgent and complicated as the integration of intermittent renewable energies increases and the severity of uncertain disasters gets worse.With the recent success of artificial intelligence in various industries,deep learning becomes a promising direction for power engineering as well,and the research community begins to rethink the problem of power dispatch.This paper reviews the recent progress in smart grid dispatch from a deep learning perspective.Through this paper,we hope to advance not only the development of smart grids but also the ecosystem of artificial intelligence. | Gang HUANG Fei WU Chuangxin GUO | 2022 | Frontiers of Information Technology & Electronic Engineering2022，23，5： | 0 |
| 19 | Method to Quantifying the Logical Node Importance for IEC 61850 Based Substation Automation Systems显示文摘The problem of logical node(LN)importance quantification in an IEC 61850 based substation automation system(SAS)is investigated in this paper.First,a weighted and directed static complex network model is established by analyzing the characteristics of SAS,according to IEC 61850.Then,we propose a method,which combines topology value and information adjunction value by introducing a first-order linear feedback controller to quantify the value of LNs.On this basis,some definitions for equivalent network conversion are proposed to greatly reduce the complexity of the original network topology.Also,the absolute value and relative value are introduced to quantify LN importance from the perspective of the node’s necessity and influence,respectively.Finally,simulation results of the case study demonstrate that the proposed method is effective and provides a broader and clearer perspective for viewing the logical node importance for IEC61850 based SAS. | Jie Yang Yihao Guo Chuangxin Guo Zhe Chen Shenghan Wang | 2023 | CSEE Journal of Power and Energy Systems2023，9，1： | 0 |
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