|
|
|
题名
|
作者
|
年代
|
出处
|
被引量
|
| 1 | Short-term local prediction of wind speed and wind power based on singular spectrum analysis and locality-sensitive hashing显示文摘With the growing penetration of wind power in power systems, more accurate prediction of wind speed and wind power is required for real-time scheduling and operation. In this paper, a novel forecast model for shortterm prediction of wind speed and wind power is proposed,which is based on singular spectrum analysis(SSA) and locality-sensitive hashing(LSH). To deal with the impact of high volatility of the original time series, SSA is applied to decompose it into two components: the mean trend,which represents the mean tendency of the original time series, and the fluctuation component, which reveals the stochastic characteristics. Both components are reconstructed in a phase space to obtain mean trend segments and fluctuation component segments. After that, LSH is utilized to select similar segments of the mean trend segments, which are then employed in local forecasting, so that the accuracy and efficiency of prediction can be enhanced. Finally, support vector regression is adopted forprediction, where the training input is the synthesis of the similar mean trend segments and the corresponding fluctuation component segments. Simulation studies are conducted on wind speed and wind power time series from four databases, and the final results demonstrate that the proposed model is more accurate and stable in comparison with other models. | Ling LIU Tianyao JI Mengshi LI Ziming CHEN Qinghua WU | 2018 | Journal of Modern Power Systems and Clean Energy2018，6，2： | 10 |
| 2 | Optimal Operation of Integrated Energy Systems Subject to Coupled Demand Constraints of Electricity and Natural Gas显示文摘This paper proposes a hybrid multi-objective optimization and game-theoretic approach(HMOGTA)to achieve the optimal operation of integrated energy systems(IESs)consisting of electricity and natural gas(E&G)utility networks,multiple distributed energy stations(DESs),and multiple energy users(EUs).The HMOGTA aims to solve the coordinated operation strategy of the electricity and natural gas networks considering the demand characteristics of DESs and EUs.In the HMOGTA,a hierarchical Stackelberg game model is developed for generating equilibrium strategies of DESs and EUs in each district energy network(DEN).Based on the game results,we obtain the coupling demand constraints of electricity and natural gas(CDCENs)which reflect the relationship between the amounts and prices of electricity and cooling(E&C)that DESs purchase from utility networks.Furthermore,the minimization of conflicting costs of E&G networks considering the CDCENs are solved by a multi-objective optimization method.A case study is conducted on a test IES composed of a 20-node natural gas network,a modified IEEE 30-bus system,and 3 DENs,which verifies the effectiveness of the proposed HMOGTA to realize fair treatment for all participants in the IES. | Yingjie Qin Lilan Wu Jiehui Zheng Mengshi Li Zhaoxia Jing Q.H.Wu Xiaoxin Zhou Feng Wei | 2020 | CSEE Journal of Power and Energy Systems2020，6，2： | 7 |
| 3 | Optimal reactive power dispatch with wind power integrated using group search optimizer with intraspecific competition and le´vy walk显示文摘This paper presents the mean–variance(MV)model to solve power system reactive power dispatch problems with wind power integrated.The MV model considers the profit and risk simultaneously under the uncertain wind power(speed)environment.To describe this uncertain environment,the Latin hypercube sampling with Cholesky decomposition simulation method is used to sample uncertain wind speeds.An improved optimization algorithm,group search optimizer with intraspecific competition and le´vy walk,is then used to optimize the MV model by introducing the risk tolerance parameter.The simulation is conducted based on the IEEE 30-bus power system,and the results demonstrate the effectiveness and validity of the proposed model and the optimization algorithm. | Yuanzheng LI Mengshi LI Qinghua WU | 2014 | Journal of Modern Power Systems and Clean Energy2014，2，4： | 6 |
| 4 | On the State-dependent Switched Energy Functions of DFIG-based Wind Power Generation Systems显示文摘This paper proposes a novel state-dependent switched energy function(SdSEF)for general nonlinear autonomous systems,and constructs an SdSEF for doubly-fed induction generator(DFIG)-based wind power generation systems(WPGSs).Different from the conventional energy function,SdSEF is a piece-wise continuous function,and it satisfies the conditions of conventional energy functions on each of its continuous segments.SdSEF is designed to bridge the gap between the well-developed energy function theory and the description of system energy of complex nonlinear systems,such as power electronics converter systems.The stability criterion of nonlinear autonomous systems is investigated with SdSEF,and mathematical proof is presented.The SdSEF of a typical DFIGbased WPGS is simulated in the whole processes of a grid fault and fault recovery.Simulation results verify the negativeness of the derivative of each continuous segment of the SdSEF. | Yang Liu Zehui Lin Kaishun Xiahou Mengshi Li Q.H.Wu | 2020 | CSEE Journal of Power and Energy Systems2020，6，2： | 4 |
| 5 | A new approach to measure melamine, cyanuric acid, and melamine cyanurate using surface enhanced Raman spectroscopy coupled with gold nanosubstrates显示文摘 | Lili He Yang Liu Mengshi Lin Joseph Awika David R. Ledoux Hao Li Azlin Mustapha | 2008 | Sensing and Instrumentation for Food Quality and Safety2008，，1： | 3 |
| 6 | Ultra-short Term Wind Speed Prediction Using Mathematical Morphology Decomposition and Long Short-term Memory显示文摘This paper proposes a new model,which consists of a mathematical morphology(MM)decomposer and two long short term memory(LSTM)networks,to perform ultra-short term wind speed forecast.The MM decomposer is developed in order to improve the forecast accuracy,which separates the wind speed into two parts:a stationary long-term baseline and a nonstationary short-term residue.Afterwards,two LSTM networks are implemented to forecast the baseline and residue,respectively.Besides,this paper makes an integrated forecast that takes into account multiple climate factors,such as temperature and air pressure.The baseline,temperature and air pressure are used as the inputs of baseline network for training and prediction,and the baseline,residue,temperature and air pressure are used as the inputs of residue network for training and prediction.The performance of the proposed model has been validated using data collected from the Australian Meteorological Station,which is compared with least squares-support vector machine(LS-SVM),back-propagation artificial neural network(BPNN),LSTM,MM-LS-SVM,and MM-BPNN.The results demonstrate that the proposed model is more suitable to solve non-stationary time-series forecast,and achieves higher accuracy than the other models under various conditions. | Mengshi Li Zhiyuan Zhang Tianyao Ji Q.H.Wu | 2020 | CSEE Journal of Power and Energy Systems2020，6，4： | 3 |
| 7 | A cabazitaxel liposome for increased solubility, enhanced antitumor effect and reduced systemic toxicity显示文摘The potential side effects of cabazitaxel(CBZ)in the field of cancer treatment have become a great limitation to its further clinical application.Liposomal delivery is a well-established approach to increase the therapeutic index of hydrophobic drugs.In this study,a PEGmodified liposome was developed for efficiently encapsulating CBZ,thus enhancing its specific tumor inhibition effect and reducing the systemic toxicity.It was found that the loading efficiency of CBZ into the liposome could be improved with the increase of lipophilic materials,as it could be over 80%under the weight ratio of 20:1(total lipid:CBZ).The diameter of CBZ loaded liposome(CBZ@Lipo)was^100 nm.And the liposome suspending in aqueous medium was stable at 4°C for at least one month,according to the change of its size distribution.The killing ability of CBZ@Lipo to cancer cells was significantly lower comparing to that of CBZ solution,which could be attributed to the slow release of CBZ from the liposomes.However,CBZ@Lipo could induce an obvious apoptosis of the cancer cells at low concentration.Furthermore,CBZ@Lipo exhibited an expressively enhanced tumor growth inhibition effect comparing to CBZ solution.More importantly,CBZ@Lipo showed an obviously higher biosafety proved by lower hemolysis probability,stable body weight of mice during the whole experiment and no obvious lesion in histology analysis.Our work provided a useful reference of the formulation of CBZ,which had potential for greater clinical application. | Xiaoyi Yin Lihua Luo Wei Li Jie Yang Chunqi Zhu Mengshi Jiang Bing qin Xiaoling Yuan Hang Yin Yichao Lu Yongzhong Du Dawei Chen Jian You | 2019 | Asian Journal of Pharmaceutical Sciences2019，14，6： | 3 |
| 8 | Modulation of evening complex activity enables north-to-south adaptation of soybean显示文摘Soybean,a typical short-day crop,is sensitive to photoperiod,which is a major limiting factor defining its north-to-south cultivation range.The long-juvenile(LJ)trait is controlled primarily by the J locus which has been used for decades by soybean breeders to delay flowering and improve grain yield in tropical regions.The J gene encodes an ortholog of the Arabidopsis Evening Complex(EC)component EARLY FLOWERING 3(ELF3).To identify modifiers of J,we conducted a forward genetic screen and isolated a mutant(eoj57)that in combination with j has longer flowering delay compared with j single mutant plants.Map-based cloning and genome re-sequencing identified eoj57(designated as GmLUX2)as an ortholog of the Arabidopsis EC component LUX ARRHYTHMO(LUX).To validate that GmLUX2 is a modifier of J,we used trans-complementation and identified a natural variant allele with a similar phenotype.We also show that GmLUX2 physically interacts with GmELF3a/b and binds DNA,whereas the mutant and natural variant are attenuated in both activities.Transcriptome analysis shows that the GmLUX2-GmELF3a complex co-regulates the expression of several circadian clock-associated genes and directly represses E1 expression.These results provide mechanistic insight into how GmLUX2-GmELF3 controls flowering time via synergistic regulation of gene expression.These novel insights expand our understanding of the regulation of the EC complex,and facilitate the development of soybean varieties adapted for growth at lower latitudes. | Xiaolong Fang Yapeng Han Mengshi Liu Jiacan Jiang Xiang Li Qichao Lian Xianrong Xie Yian Huang Qibin Ma Hai Nian Ji Qi Cunyi Yang Yingxiang Wang | 2021 | Science China(Life Sciences)2021，64，2： | 3 |
| 9 | Fault Location in Distribution System Using Convolutional Neural Network Based on Domain Transformation显示文摘Distribution lines are integral parts of the modern power system,which can affect the security and stability of power supply directly.An effective power system protection scheme should be able to detect all occurring faults as soon as possible.There are two tasks in fault diagnosis.One is the fault classification,where high accuracy rates have already achieved.Thus,this paper focuses on the other task,i.e.fault location.Enlightened by Fourier transform,this paper proposes an online data-driven method,which transforms signals from time domain to image domain through signal-to-image(SIG)algorithm and then process the transformed images with framework based on convolutional neural network(CNN).On the one hand,we can extract more crucial characteristic and information from image domain.On the other hand,the CNN-based structure is much smaller than others.It needs less memory space and would be easier to be transplanted to hardware platform.Moreover,the proposed algorithm does not require synchronous devices.The numerical comparison shows that the proposed SIG-CNN fault location model achieves robust and accurate results compared with other data-driven algorithms. | Yang Yu Mengshi Li Tianyao Ji Q.H.Wu | 2021 | CSEE Journal of Power and Energy Systems2021，7，3： | 2 |
| 10 | Application of Morphological Max-Lifting Scheme for Identification of Induction Motor Stator Inter-turn Short Circuit显示文摘The harmonic components of stator winding current in induction motor will change under the condition of stator inter-turn short circuit.According to these characteristics,in this paper,a novel technique based on morphological maxlifting scheme is proposed for identification of induction motor stator inter-turn short circuit.A max-lifting scheme is applied to process stator winding currents to extract these characteristics.An indicator,r,is computed to identify the short circuit.The transient model of induction motor is employed to simulate oneturn to six-turn stator inter-turn short circuits in an induction motor.Extensive simulation work has been conducted under normal conditions,abnormal conditions(voltage imbalance and varying load),stator inter-turn short circuit conditions,and conditions of any combinations of the above.The results have shown that the scheme proposed in this paper has a high identification rate for induction motor stator inter-turn short circuit. | Yin Zhang Tianyao Ji Mengshi Li Q.H.Wu | 2015 | CSEE Journal of Power and Energy Systems2015，1，4： | 2 |
| 11 | Detection of Pesticides in Fruits by Surface-Enhanced Raman Spectroscopy Coupled with Gold Nanostructures显示文摘 | Bin Liu Peng Zhou Xiaoming Liu Xin Sun Hao Li Mengshi Lin | 2013 | Food and Bioprocess Technology2013，，3： | 1 |
| 12 | Detection of Pesticides in Fruits by Surface-Enhanced Raman Spectroscopy Coupled with Gold Nanostructures显示文摘 | Bin Liu Peng Zhou Xiaoming Liu Xin Sun Hao Li Mengshi Lin | 2013 | Food and Bioprocess Technology2013，，3： | 1 |
| 13 | Comparison and Error Analysis of Off-design and Design Models of Energy Hubs显示文摘The accuracy of the simulation model has a pro-found impact on the optimal operation of the energy hubs(EHs).However,in many articles,the constant model of the efficiency of equipment is adopted to formulate the operation system,which would probably lead to a simplification of the simulation models.But,EHs are typically operated under off-design condition due to the fluctuations in cooling,heating,electricity requirement.More-over,even though the off-design characteristics are considered,few studies have suggested comparing the differences between those two models by considering the operation cost.In order to assess the effect of the off-design characteristics of EH on the optimal operation accuracy in this paper,two test cases are performed on the fixed and variable load conditions,respectively.In addition,the individual effect of off-design characteristics of each equipment on the optimal operation cost of the EH is also investigated through four optimization runs.It is worth mentioning that the optimal operation problem of the EH considering the off-design characteristics and on-off status of the equipment is a mixed integer non-linear programming problem(MINLP).By testing the design and off-design models on the two cases,the results of simulation demonstrate that the optimal operation cost for the off-design model is larger than that for the design model.Nonetheless,in the aspect of the authenticity of the system operation strategy,the off-design model performs better than the design model.Furthermore,a larger relative error of the system operation cost between the two models can be observed when the EH is operated under a relatively lower load condition,revealing that the influence of off-design characteristic on the optimal operation of EHs is too significant to be neglected. | J.H.Zheng Jun Huang Shan Deng Q.H.Wu Mengshi Li Xiaoxin Zhou Zhaoxia Jing | 2019 | CSEE Journal of Power and Energy Systems2019，5，4： | 1 |
| 14 | A new approach to measure melamine, cyanuric acid, and melamine cyanurate using surface enhanced Raman spectroscopy coupled with gold nanosubstrates显示文摘 | Lili He Yang Liu Mengshi Lin Joseph Awika David R. Ledoux Hao Li Azlin Mustapha | 2008 | Sensing and Instrumentation for Food Quality and Safety2008，，1： | 1 |
| 15 | Detection of Pesticides in Fruits by Surface-Enhanced Raman Spectroscopy Coupled with Gold Nanostructures显示文摘 | Bin Liu Peng Zhou Xiaoming Liu Xin Sun Hao Li Mengshi Lin | 2013 | Food and Bioprocess Technology2013，，3： | 1 |
| 16 | Fault Identification in Power Network Based on Deep Reinforcement Learning显示文摘With the integration of alternative energy and renewables,the issue of stability and resilience of the power network has received considerable attention.The basic necessity for fault diagnosis and isolation is fault identification and location.The conventional intelligent fault identification method needs supervision,manual labelling of characteristics,and requires large amounts of labelled data.To enhance the ability of intelligent methods and get rid of the dependence on a large amount of labelled data,a novel fault identification method based on deep reinforcement learning(DRL),which has not received enough attention in the field of fault identification,is investigated in this paper.The proposed method uses different faults as parameters of the model to expand the scope of fault identification.In addition,the DRL algorithm can intelligently modify the fault parameters according to the observations obtained from the power network environment,rather than requiring manual and mechanical tuning of parameters.The methodology was tested on the IEEE 14 bus for several scenarios and the performance of the proposed method was compared with that of population-based optimization methods and supervised learning methods.The obtained results have confirmed the feasibility and effectiveness of the proposed method. | Mengshi Li Huanming Zhang Tianyao Ji Q.H.Wu | 2022 | CSEE Journal of Power and Energy Systems2022，8，3： | 1 |
| 17 | Surface-enhanced Raman spectroscopy coupled with dendritic silver nanosubstrate for detection of restricted antibiotics显示文摘 | He Lili Lin Mengshi Li Hao | 2010 | J Raman Spectrosc2010，41，： | 1 |
| 18 | Electron-ion collider in China显示文摘Lepton scattering is an established ideal tool for studying inner structure of small particles such as nucleons as well as nuclei.As a future high energy nuclear physics project,an Electron-ion collider in China(EicC)has been proposed.It will be constructed based on an upgraded heavy-ion accelerator,High Intensity heavy-ion Accelerator Facility(HIAF)which is currently under construction,together with a new electron ring.The proposed collider will provide highly polarized electrons(with a po-larization of 80%)and protons(with a polarization of 70%)with variable center of mass energies from 15 to 20 GeV and the luminosity of(2–3)×1033 cm^(−2)·s^(−1).Polarized deuterons and Helium-3,as well as unpolarized ion beams from Carbon to Uranium,will be also available at the EicC.The main foci of the EicC will be precision measurements of the structure of the nucleon in the sea quark region,including 3D tomography of nucleon;the partonic structure of nuclei and the parton interaction with the nuclear environment;the exotic states,especially those with heavy flavor quark contents.In addition,issues fundamental to understanding the origin of mass could be addressed by measurements of heavy quarkonia near-threshold production at the EicC.In order to achieve the above-mentioned physics goals,a hermetical detector system will be constructed with cutting-edge technologies.This document is the result of collective contributions and valuable inputs from experts across the globe.The EicC physics program complements the ongoing scientific programs at the Jefferson Laboratory and the future EIC project in the United States.The success of this project will also advance both nuclear and particle physics as well as accelerator and detector technology in China. | Daniele PAnderle Valerio Bertone Xu Cao Lei Chang Ningbo Chang Gu Chen Xurong Chen Zhuojun Chen Zhufang Cui Lingyun Dai Weitian Deng Minghui Ding Xu Feng Chang Gong Longcheng Gui Feng-Kun Guo Chengdong Han Jun He Tie-Jiun Hou Hongxia Huang Yin Huang KrešImir KumeričKi LPKaptari Demin Li Hengne Li Minxiang Li Xueqian Li Yutie Liang Zuotang Liang Chen Liu Chuan Liu Guoming Liu Jie Liu Liuming Liu Xiang Liu Tianbo Liu Xiaofeng Luo Zhun Lyu Boqiang Ma Fu Ma Jianping Ma Yugang Ma Lijun Mao Cédric Mezrag HervéMoutarde Jialun Ping Sixue Qin Hang Ren Craig DRoberts Juan Rojo Guodong Shen Chao Shi Qintao Song Hao Sun PawełSznajder Enke Wang Fan Wang Qian Wang Rong Wang Ruiru Wang Taofeng Wang Wei Wang Xiaoyu Wang Xiaoyun Wang Jiajun Wu Xinggang Wu Lei Xia Bowen Xiao Guoqing Xiao Ju-Jun Xie Yaping Xie Hongxi Xing Hushan Xu Nu Xu Shusheng Xu Mengshi Yan Wenbiao Yan Wencheng Yan Xinhu Yan Jiancheng Yang Yi-Bo Yang Zhi Yang Deliang Yao Zhihong Ye Peilin Yin C-PYuan Wenlong Zhan Jianhui Zhang Jinlong Zhang Pengming Zhang Yifei Zhang Chao-Hsi Chang Zhenyu Zhang Hongwei Zhao Kuang-Ta Chao Qiang Zhao Yuxiang Zhao Zhengguo Zhao Liang Zheng Jian Zhou Xiang Zhou Xiaorong Zhou Bingsong Zou Liping Zou | 2021 | Frontiers of physics2021，16，6： | 1 |
| 19 | A new approach to measure melamine, cyanuric acid, and melamine cyanurate using surface enhanced Raman spectroscopy coupled with gold nanosubstrates显示文摘 | Lili He Yang Liu Mengshi Lin Joseph Awika David R. Ledoux Hao Li Azlin Mustapha | 2008 | Sensing and Instrumentation for Food Quality and Safety2008，，1： | 1 |
| 20 | Reversible acetylation modulates dishevelled-2 puncta formation in canonical Wnt signaling activation显示文摘Dear Editor,Dishevelled-2(DVL2)is a central adaptor protein that propagates signals from upstream receptors to downstream effectorβ-catenin in canonical Wnt signaling.At high local concentration,DVL2 assembles into signalosomes through DIX domain-mediated homo-polymerization to provide a docking platform for the recruitment of signaling components,which is critical for Wnt signaling transduction and activation;1 however,the exact underlying mechanism remains inconclusive.Although the roles of phosphorylation and ubiquitination in DVL2-puncta formation have been discussed before,2 the impact of lysine acetylation of DVL2 on this process remains elusive.Here we investigated the effect of acetylation on DVL2-puncta formation. | Jinhong Shen Lin Hu Li Yang Mengshi Zhang Weihong Sun Xiaomei Lu Gufa Lin Chao Huang Xiaoren Zhang Y.Eugene Chin | 2020 | Signal Transduction and Targeted Therapy2020，5，1： | 1 |
您所在的机构暂未开通此部分的功能，请联系管理员