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Robust Forecasting-Aided State Estimation Considering Uncertainty in Distribution System

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CSEE Journal of Power and Energy Systems 2024年第4期10卷 1632-1641页

作者： Dongchen Hou Yonghui Sun linchuang zhang Sen Wang College of Energy and Electrical Engineering Hohai UniversityNanjing 210098China

With the development of the smart grid,the distribution system operation conditions become more complex and ***,due to the influence of observation outliers and uncertain noise statistics,it is more difficult to grasp the dynamic operation characteristics of distribution *** order to address these problems,by using projection statistics and the noise covariance updating technology based on the Sage-Husa noise estimator,for distribution power system with outliers and uncertain noise statistics,a robust adaptive cubature Kalman filter forecasting-aided state estimation method is proposed based on generalized-maximum likelihood type ***,an adaptive strategy,which can enhance the filtering accuracy under normal conditions,is *** the simulation part,the branch parameters and node load parameters of the test system are appropriately modified to simulate the asymmetry of the three-phase branch parameters and the asymmetry of the three-phase ***,through simulation experiments on the improved test system,it is verified that the robust forecasting-aided state estimation method,presented in this paper,can effectively perceive the actual operating state of the distribution network in different simulation scenarios.

关键词： Cubature Kalman filter distribution power system forecasting-aided state estimation projection statistics

Dynamic State Estimation of Power Systems with Uncertainties Based on Robust Adaptive Unscented Kalman Filter

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Journal of Modern Power Systems and Clean Energy 2023年第4期11卷 1065-1074页

作者： Dongchen Hou Yonghui Sun Jianxi Wang linchuang zhang Sen Wang College of Energy and Electrical Engineering Hohai UniversityNanjing210098China

In this paper,a robust adaptive unscented Kalman filter(RAUKF)is developed to mitigate the unfavorable effects derived from uncertainties in noise and in the *** address these issues,a robust M-estimator is first utilized to update the measurement noise ***,to deal with the effects of model parameter errors while considering the computational complexity and real-time requirements of dynamic state estimation,an adaptive update method is *** proposed method is integrated with spherical simplex unscented transformation technology,and then a novel derivative-free filter is proposed to dynamically track the states of the power system against ***,the effectiveness and robustness of the proposed method are demonstrated through extensive simulation experiments on an IEEE 39-bus test *** with other methods,the proposed method can capture the dynamic characteristics of a synchronous generator more reliably.

关键词： Dynamic state estimation Kalman filter synchronous generator unscented transformation robust estimation

Ultra-short-term Interval Prediction of Wind Farm Cluster Power Based on LASSO

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Ultra-short-term Interval Prediction of Wind Farm Cluster Po...

Fault Detection for Continuous-Time semi-Markovian Jump Systems

第三十九届中国控制会议

作者： Yan Zhou Yonghui Sun Sen Wang Dognchen Hou linchuang zhang College of Energy and Electrical Engineering Hohai University

Efficient and accurate power prediction of wind farm cluster is an effective method to improve the safety and reliability of power system for large-scale wind *** this paper,the probabilistic prediction model of regional wind power is *** nonparametric method based on least absolute shrinkage and selection operator（LASSO） is used for the ultra-short-term probabilistic *** this paper,the prediction model of nonlinear quantile regression（NQR） model based on quantile regression（QR） and extreme learning machine（ELM） is ***,LASSO is utilized to shrink the output weights for the *** penalty of LASSO can prevent the overfitting and improve the performance of prediction intervals（PIs）,without the reduction of computational *** the actual dataset of the wind farms in northeast China,the PIs performance is verified,compared with other well-established benchmarks.

关键词： Power prediction of wind farm cluster Least absolute shrinkage and selection operator Nonparametric probabilistic prediction Quantile regression

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Fault Detection for Continuous-Time semi-Markovian Jump Syst...

Robust H∞ Filtering for Uncertain Semi-Markov Jump Systems and Its Application

第30届中国控制与决策会议

作者： linchuang zhang Hui Ma Hongjing Liang Qi Zhou Hongyi Li College of Information Sciences and Technology Bohai University School of Mathematics and Physics Bohai University College of Engineering Bohai University

This paper investigates the fault detection problem of continuous-time semi-Markovian jump systems(SMJSs).The fault detection problem is studied for S-MJSs by using a conventional *** decoupling method is used to handle the fault detection *** to Lyapunov functional stability,the filter is designed such that the fault detection system is stochastically stable with an H performance,and its parameters can be solved by convex optimization *** results are given to illustrate the feasibility of the proposed method.

关键词： Semi-Markovian jump systems(S-MJSs) Fault detection Filter design Convex optimization method

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Robust H∞ Filtering for Uncertain Semi-Markov Jump Systems ...

第三十九届中国控制会议

作者： linchuang zhang Yonghui Sun Dongchen Hou Jianxi Wang Mouquan Shen College of Energy and Electrical Engineering Hohai University College of Electrical Engineering and Control Science Nanjing Technology University

This paper studies the robust H filtering problem for a class of continuous-time uncertain semi-Markov jump systems. Considering that the filter modes can be obtained via observing system modes, a semi-Markov mode-dependent filter is designed. Based on the constructed filter, the robust H filtering performance analysis is proposed by minimizing the H∞level for uncertain semi-Markov jump systems. Meanwhile, the sufficient conditions for existence of the designed filter are given with the help of linear matrix inequality method. The simulation results for a possible application are presented to ensure the effectiveness of the proposed method.

关键词： Uncertain semi-Markov jump systems H∞ filtering Robust control Linear matrix inequality

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《六韬》的作者及其流传考

文献 1998年第3期 80-93页

作者：张林川湖北大学古籍研究所

《六韬》是我国古代的一部奇书。它的"奇",首先表现在书的内容方面,它是一部讲韬略的书。韬者,它又作"弢",原意是"弓袋",引申之则有"锦囊妙计"的意思。其次,据文献记载,这部书与历史上两位传奇的智人有关。有文献记载,《六韬》的作者就... 详细信息

《六韬》是我国古代的一部奇书。它的"奇",首先表现在书的内容方面,它是一部讲韬略的书。韬者,它又作"弢",原意是"弓袋",引申之则有"锦囊妙计"的意思。其次,据文献记载,这部书与历史上两位传奇的智人有关。有文献记载,《六韬》的作者就是周文王的老师姜太公;又有文献记载,张良曾习《六韬》助刘邦除暴秦、败项羽。

关键词：汉书·艺文志著录我国古代文献记载庄子姜太公四库全书总目提要流传儒家作者

计及误差时间相依性的风电功率超短期条件概率预测

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电力自动化设备 2022年第11期42卷 40-46页

作者：王森孙永辉周衍王建喜侯栋宸张林闯河海大学能源与电气学院江苏南京210098

针对单一参数化建模误差集粗糙的问题,基于风电功率历史特征进行建模,集成深度置信网络的特征提取和粒子群优化算法的寻优能力,分析预测误差时间相依性,实现误差修正。分析误差样本集,建立计及误差时间相依性的风电功率超短期条件概率... 详细信息

针对单一参数化建模误差集粗糙的问题,基于风电功率历史特征进行建模,集成深度置信网络的特征提取和粒子群优化算法的寻优能力,分析预测误差时间相依性,实现误差修正。分析误差样本集,建立计及误差时间相依性的风电功率超短期条件概率预测模型。基于我国吉林省某风电场实际数据进行算例分析,结果表明所提模型可有效提高预测质量。

关键词：深度置信网络风电功率预测超短期误差修正条件概率预测

Diatomic Pd catalyst with conjugated backbone for synergistic electrochemical CO_(2)reduction

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Nano Research 2024年第6期17卷 4850-4855页

作者： Wenxuan zhang Mengran zhang Hongjuan Wang Wen zhang Min zhang MOE International Joint Laboratory of Materials Microstructure Institute for New Energy Materials and Low Carbon TechnologiesSchool of Materials Science and EngineeringTianjin University of TechnologyTianjin 300384China Tianjin Key Laboratory of Organic Solar Cells and Photochemical Conversion School of Chemistry and Chemical EngineeringTianjin University of TechnologyTianjin 300384China

Double-site catalysts have attracted widespread attention in the field of electrocatalysis due to their high metal loading,adjustable active centres,and electronic valence ***,the development of bimetallic sites catalysts that coordinate with definite atoms is still in the exploratory ***,we designed and synthesized a bimetallic palladium complex(BPB-Pd_(2))with conjugated *** supported BPB-Pd_(2)was applied to electrochemical CO_(2)reduction reaction(CO_(2)RR)for the first *** as-obtained BPB-Pd_(2)gives an exceptional Faradaic efficiency of CO(FECO)of 94.4%at−0.80 V *** hydrogen electrode(RHE),which is significantly superior to monoatomic palladium catalyst(BPB-Pd1).The density functional theory(DFT)calculations revealed that the essential reason for the outstanding activity of BPB-Pd_(2)toward CO_(2)RR was that the electronic effect between diatomic palladium reduces the free energy change for CO_(2)RR ***,BPB-Pd_(2)exhibits moderate free energy change to form COOH*intermediate,which was beneficial for the generation of CO in CO_(2)RR.

关键词： synthesis electrocatalysis CO_(2)reduction bimetallic palladium complex synergistic catalysis

N-doped graphene quantum dot-decorated N-TiO2/P-doped porous hollow g-C_(3)N_(4) nanotube composite photocatalysts for antibiotic photodegradation and H2 production

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International Journal of Minerals,Metallurgy and Materials 2024年第1期31卷 165-178页

作者： Jingshu Yuan Yao zhang Xiaoyan zhang Junjie zhang Shen’gen zhang Institute for Advanced Materials and Technology University of Science and Technology BeijingBeijing 100083China Xi’an Fanyi University Xi’an 710105China Shunde Graduate School of University of Science and Technology Beijing Foshan 528399China State Key Laboratory of Lunar and Planetary Sciences Macao University of Science and TechnologyMacao SAR 820000China

Exclusive responsiveness to ultraviolet light (~3.2 eV) and high photogenerated charge recombination rate are the two primary drawbacks of pure TiO_(2). We combined N-doped graphene quantum dots (N-GQDs), morphology regulation, and heterojunction construction strategies to synthesize N-GQD/N-doped TiO_(2)/P-doped porous hollow g-C_(3)N_(4) nanotube (PCN) composite photocatalysts (denoted as G-TPCN). The optimal sample (G-TPCN doped with 0.1wt% N-GQD, denoted as 0.1% G-TPCN) exhibits significantly enhanced photoabsorption, which is attributed to the change in bandgap caused by elemental doping (P and N), the improved light-harvesting resulting from the tube structure, and the upconversion effect of N-GQDs. In addition, the internal charge separation and transfer capability of0.1% G-TPCN are dramatically boosted, and its carrier concentration is 3.7, 2.3, and 1.9 times that of N-TiO_(2), PCN, and N-TiO_(2)/PCN(TPCN-1), respectively. This phenomenon is attributed to the formation of Z-scheme heterojunction between N-TiO_(2) and PCNs, the excellent electron conduction ability of N-GQDs, and the short transfer distance caused by the porous nanotube structure. Compared with those of N-TiO_(2), PCNs, and TPCN-1, the H2 production activity of 0.1%G-TPCN under visible light is enhanced by 12.4, 2.3, and 1.4times, respectively, and its ciprofloxacin (CIP) degradation rate is increased by 7.9, 5.7, and 2.9 times, respectively. The optimized performance benefits from excellent photoresponsiveness and improved carrier separation and migration efficiencies. Finally, the photocatalytic mechanism of 0.1% G-TPCN and five possible degradation pathways of CIP are proposed. This study clarifies the mechanism of multiple modification strategies to synergistically improve the photocatalytic performance of 0.1% G-TPCN and provides a potential strategy for rationally designing novel photocatalysts for environmental remediation and solar energy conversion.

关键词： N-doped TiO_(2) N-doped graphene quantum dots P-doped g-C_(3)N_(4) porous hollow nanotube heterojunction photocatalysis