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An operating state estimation model for integrated energy systems based on distributed solution

Dengji ZHOU, Shixi MA, Dawen HUANG, Huisheng ZHANG, Shilie WENG

Frontiers in Energy 2020, Volume 14, Issue 4,   Pages 801-816 doi: 10.1007/s11708-020-0687-y

Abstract: estimation method are studied.Finally, a distributed state estimation framework is formed by combining the synchronous alternatingdirection multiplier method to achieve an efficient estimation of the state of the integrated energyestimation method proposed in this paper.estimation method are only 0.0132% and 0.0864%, much lower than the estimation error by using the Lagrangian

Keywords： integrated energy system     state estimation     electricity-gas coupling energy system     nonlinear coupling     distributed    

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The estimation for state of cable based on improved Weibull distribution model

Zhang Tieyan,Wang Chengmin,Sun Qiuye,Zhang Huaguang

Strategic Study of CAE 2008, Volume 10, Issue 10,   Pages 42-46

Abstract:

The estimation for state of cable is significant to state of cable managementThe famous methods for state estimation of cable are Weibull distribution model and Arrhenius method.And the Weibull distribution model is used for state estimation of cable.

Keywords： cable     state estimation     Arrhenius model     Weibull distribution    

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Intelligent algorithm for optimal meter placement and bus voltage estimation in ring main distribution

L. RAMESH, N. CHAKRABORTY, S. P. CHOWDHURY

Frontiers in Energy 2012, Volume 6, Issue 1,   Pages 47-56 doi: 10.1007/s11708-011-0159-5

Abstract: system poses a great challenge to power engineering researchers on how to best monitor and estimate the stateresults proves that the swarm tuned artificial neural network (ANN) estimator is best suited for accurate estimation

Keywords： artificial intelligence     power distribution control     state estimation    

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Real-time immune-inspired optimum state-of-charge trajectory estimation using upcoming route information

Ahmad MOZAFFARI,Mahyar VAJEDI,Nasser L. AZAD

Frontiers of Mechanical Engineering 2015, Volume 10, Issue 2,   Pages 154-167 doi: 10.1007/s11465-015-0336-z

Abstract: investigation is to develop a computational intelligence-based framework which can be used for the real-time estimationof optimum battery state-of-charge (SOC) trajectory in plug-in hybrid electric vehicles (PHEVs).

Keywords： trip information preview     intelligent transportation     state-of-charge trajectory builder     immune systems    

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Distribution system state estimation: an overview of recent developments Review Article

Gang WANG, Georgios B. GIANNAKIS, Jie CHEN, Jian SUN

Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 1,   Pages 4-17 doi: 10.1631/FITEE.1800590

Abstract: manipulation of smart meter readings, all highlight the need for accurate, fast, and robust power system stateestimation (PSSE).In this study, we provide a contemporary overview of PSSE and describe the current state of the art inFinally, distribution system state estimation is discussed along with its current challenges.

Keywords： State estimation     Cramér-Rao bound     Feasible point pursuit     Semidefinite relaxation     Proximal linear algorithm    

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Co-Estimation of State of Charge and Capacity for Lithium-Ion Batteries with Multi-Stage Model Fusion Article

Rui Xiong, Ju Wang, Weixiang Shen, Jinpeng Tian, Hao Mu

Engineering 2021, Volume 7, Issue 10,   Pages 1471-1484 doi: 10.1016/j.eng.2020.10.022

Abstract: management of LIBs in electric transports for all-climate and long-life operation requires the accurate estimationof state of charge (SOC) and capacity in real-time.over a wide range of temperature show that the presented fusion algorithm can realize a high-accuracy estimation

Keywords： State of charge     Capacity estimation     Model fusion     Proportional–integral–differential observer     Hardware-in-the-loop    

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A survey of photon mapping state-of-the-art research and future challenges

Chun-meng KANG,Lu WAN,Yan-ning XU,Xiang-xu MENG

Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 3,   Pages 185-199 doi: 10.1631/FITEE.1500251

Abstract: This report reviews recent work and classifies it into a set of categories including radiance estimation

Keywords： Global illumination     Photon mapping     Radiance estimation     Photon relaxation     Progressive photon mapping    

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Super Resolution Perception for Improving Data Completeness in Smart Grid State Estimation Article

Gaoqi Liang, Guolong Liu, Junhua Zhao, Yanli Liu, Jinjin Gu, Guangzhong Sun, Zhaoyang Dong

Engineering 2020, Volume 6, Issue 7,   Pages 789-800 doi: 10.1016/j.eng.2020.06.006

Abstract: estimation, which serves as a basic tool for understanding the true states of a smart grid, should beMore complete system state data are needed to support high-frequency state estimation.The data completeness problem for smart grid state estimation is therefore studied in this paper.The proposed method, namely the Super Resolution Perception Net for State Estimation (SRPNSE), consistsestimation.

Keywords： State estimation     Low-frequency data     High-frequency data     Super resolution perception     Data completeness    

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A framework for stochastic estimation of electric vehicle charging behavior for risk assessment of distribution

Salman HABIB, Muhammad Mansoor KHAN, Farukh ABBAS, Muhammad NUMAN, Yaqoob ALI, Houjun TANG, Xuhui YAN

Frontiers in Energy 2020, Volume 14, Issue 2,   Pages 298-317 doi: 10.1007/s11708-019-0648-5

Abstract: developed to account several realistic aspects comprising charging time, battery capacity, driving mileage, state-of-charge

Keywords： electric vehicles (EVs)     residential distribution networks (RDNs)     voltage unbalance factor (VUF)     state-of    

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A brief review on key technologies in the battery management system of electric vehicles

Kailong LIU, Kang LI, Qiao PENG, Cheng ZHANG

Frontiers of Mechanical Engineering 2019, Volume 14, Issue 1,   Pages 47-64 doi: 10.1007/s11465-018-0516-8

Abstract: paper aims to give a brief review on several key technologies of BMS, including battery modelling, stateestimation and battery charging.Then, battery state estimations for the state of charge, state of health and internal temperature are

Keywords： battery management system     battery modelling     battery state estimation     battery charging    

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A multi-functional dynamic state estimator for error validation: measurement and parameter errors and Article

Mehdi AHMADI JIRDEHI,Reza HEMMATI,Vahid ABBASI,Hedayat SABOORI

Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 11,   Pages 1218-1227 doi: 10.1631/FITEE.1500301

Abstract: A dynamic state estimation algorithm is used based on the Kalman filter theory.

Keywords： Dynamic state estimation     Kalman filter     Measurement errors     Branch parameter errors     Sudden load changes    

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Bayes estimation of residual life by fusing multisource information

Qian ZHAO, Xiang JIA, Zhi-jun CHENG, Bo GUO

Frontiers of Engineering Management 2018, Volume 5, Issue 4,   Pages 524-532 doi: 10.15302/J-FEM-2018034

Abstract:

Residual life estimation is essential for reliability engineering.effectiveness and practicability of the proposed method are validated by comparing it with residual life estimation

Keywords： residual life estimation     Bayes model     linear Wiener process    

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Thermal degradation kinetics and lifetime estimation for polycarbonate/polymethylphenylsilsesquioxane

Jiangbo WANG, Zhong XIN

Frontiers of Chemical Science and Engineering 2009, Volume 3, Issue 2,   Pages 167-171 doi: 10.1007/s11705-009-0006-y

Abstract: The thermal degradation behaviors of polycarbonate/polymethylphenylsilsesquioxane (FRPC) composites were investigated by thermogravimetric analysis (TGA) under isothermal conditions in nitrogen atmosphere. The isothermal kinetics equation was used to describe the thermal degradation process. The results showed that activation energy ( ), in the case of isothermal degradation, was a quick increasing function of conversion (α) for polycarbonate (PC) but was a strong and decreasing function of conversion for FRPC. Under the isothermal condition, the addition of polymethylphenylsilsesquioxane (PMPSQ) retardanted the thermal degradation and enhanced the thermal stability of PC during the early and middle stages of thermal degradation. It also indicated a possible existence of a difference in nucleation, nuclei growth, and gas diffusion mechanism in the thermal degradation process between PC and FRPC. Meanwhile, the addition of PMPSQ influenced the lifetime of PC, but the composite still met the demand in manufacturing and application.

Keywords： polycarbonate     polymethylphenylsilsesquioxane     thermal degradation kinetics     activation energy     lifetime    

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Hierarchical parameter estimation of DFIG and drive train system in a wind turbine generator

Xueping PAN, Ping JU, Feng WU, Yuqing JIN

Frontiers of Mechanical Engineering 2017, Volume 12, Issue 3,   Pages 367-376 doi: 10.1007/s11465-017-0429-y

Abstract:

A new hierarchical parameter estimation method for doubly fed induction generator (DFIG) and driveSecondly, a coordination estimation method is further applied to identify the parameters of the DFIGand the drive train simultaneously with the purpose of attaining the global optimal estimation resultsThe main benefit of the proposed scheme is the improved estimation accuracy.Estimation results confirm the applicability of the proposed estimation technique.

Keywords： wind turbine generator     DFIG     drive train system     hierarchical parameter estimation method     trajectory sensitivity    

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Penetrance estimation of variants in paroxysmal kinesigenic dyskinesia and infantile convulsions

Frontiers of Medicine 2021, Volume 15, Issue 6,   Pages 877-886 doi: 10.1007/s11684-021-0863-4

Abstract: Proline-rich transmembrane protein 2 (PRRT2) is the leading cause of paroxysmal kinesigenic dyskinesia (PKD), benign familial infantile epilepsy (BFIE), and infantile convulsions with choreoathetosis (ICCA). Reduced penetrance of PRRT2 has been observed in previous studies, whereas the exact penetrance has not been evaluated well. The objective of this study was to estimate the penetrance of PRRT2 and determine its influencing factors. We screened 222 PKD index patients and their available relatives, identified 39 families with pathogenic or likely pathogenic (P/LP) PRRT2 variants via Sanger sequencing, and obtained 184 PKD/BFIE/ICCA families with P/LP PRRT2 variants from the literature. Penetrance was estimated as the proportion of affected variant carriers. PRRT2 penetrance estimate was 77.6% (95% confidence interval (CI) 74.5%–80.7%) in relatives and 74.5% (95% CI 70.2%–78.8%) in obligate carriers. In addition, we first observed that penetrance was higher in truncated than in non-truncated variants (75.8% versus 50.0%, P = 0.01), higher in Asian than in Caucasian carriers (81.5% versus 68.5%, P = 0.004), and exhibited no difference in gender or parental transmission. Our results are meaningful for genetic counseling, implying that approximately three-quarters of PRRT2 variant carriers will develop PRRT2-related disorders, with patients from Asia or carrying truncated variants at a higher risk.

Keywords： penetrance     PRRT2     paroxysmal kinesigenic dyskinesia     infantile convulsions    

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Title Author Date Type Operation

An operating state estimation model for integrated energy systems based on distributed solution

Dengji ZHOU, Shixi MA, Dawen HUANG, Huisheng ZHANG, Shilie WENG

Journal Article

The estimation for state of cable based on improved Weibull distribution model

Zhang Tieyan,Wang Chengmin,Sun Qiuye,Zhang Huaguang

Journal Article

Intelligent algorithm for optimal meter placement and bus voltage estimation in ring main distribution

L. RAMESH, N. CHAKRABORTY, S. P. CHOWDHURY

Journal Article

Real-time immune-inspired optimum state-of-charge trajectory estimation using upcoming route information

Ahmad MOZAFFARI,Mahyar VAJEDI,Nasser L. AZAD

Journal Article

Distribution system state estimation: an overview of recent developments

Gang WANG, Georgios B. GIANNAKIS, Jie CHEN, Jian SUN

Journal Article

Co-Estimation of State of Charge and Capacity for Lithium-Ion Batteries with Multi-Stage Model Fusion

Rui Xiong, Ju Wang, Weixiang Shen, Jinpeng Tian, Hao Mu

Journal Article

A survey of photon mapping state-of-the-art research and future challenges

Chun-meng KANG,Lu WAN,Yan-ning XU,Xiang-xu MENG

Journal Article

Super Resolution Perception for Improving Data Completeness in Smart Grid State Estimation

Gaoqi Liang, Guolong Liu, Junhua Zhao, Yanli Liu, Jinjin Gu, Guangzhong Sun, Zhaoyang Dong

Journal Article

A framework for stochastic estimation of electric vehicle charging behavior for risk assessment of distribution

Salman HABIB, Muhammad Mansoor KHAN, Farukh ABBAS, Muhammad NUMAN, Yaqoob ALI, Houjun TANG, Xuhui YAN

Journal Article

A brief review on key technologies in the battery management system of electric vehicles

Kailong LIU, Kang LI, Qiao PENG, Cheng ZHANG

Journal Article

A multi-functional dynamic state estimator for error validation: measurement and parameter errors and

Mehdi AHMADI JIRDEHI,Reza HEMMATI,Vahid ABBASI,Hedayat SABOORI

Journal Article

Bayes estimation of residual life by fusing multisource information

Qian ZHAO, Xiang JIA, Zhi-jun CHENG, Bo GUO

Journal Article

Thermal degradation kinetics and lifetime estimation for polycarbonate/polymethylphenylsilsesquioxane

Jiangbo WANG, Zhong XIN

Journal Article

Hierarchical parameter estimation of DFIG and drive train system in a wind turbine generator

Xueping PAN, Ping JU, Feng WU, Yuqing JIN

Journal Article

Penetrance estimation of variants in paroxysmal kinesigenic dyskinesia and infantile convulsions

Journal Article