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Estimation of distribution algorithm enhanced particle swarm optimization for water distribution network

Xuewei QI,Ke LI,Walter D. POTTER

Frontiers of Environmental Science & Engineering 2016, Volume 10, Issue 2,   Pages 341-351 doi: 10.1007/s11783-015-0776-z

Abstract: The optimization of a water distribution network (WDN) is a highly nonlinear, multi-modal, and constrainedParticle swarm optimization (PSO) has been shown to be a fast converging algorithm for WDN optimizationAn improved estimation of distribution algorithm (EDA) using historic best positions to construct a sampleTwo water distribution network benchmark examples from the literature are adopted to evaluate the performanceThe track record suggests that constructing an EDA sample space with historic best positions can improve

Keywords： particle swarm optimization (PSO)     diversity control     estimation of distribution algorithm (EDA)     waterdistribution network (WDN)     premature convergence     hybrid strategy    

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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: The advancement in power distribution system poses a great challenge to power engineering researcherson how to best monitor and estimate the state of the distribution network.conducted and measured through identified meter location which is more essential for decision making in distributionresults 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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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: stochastic charging model of electric vehicles (EVs).Large-scale integration of EVs into residential distribution

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

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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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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 state estimationNonetheless, most real-time data available in the current and upcoming transmission/distribution systemsFinally, 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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A modified neural learning algorithm for online rotor resistance estimation in vector controlled induction

A. CHITRA,S. HIMAVATHI

Frontiers in Energy 2015, Volume 9, Issue 1,   Pages 22-30 doi: 10.1007/s11708-014-0339-1

Abstract: In this paper, a novel modified neural algorithm has been identified for the online estimation of rotorThe training algorithm of the neural network determines its learning speed, stability, weight convergence, accuracy of estimation, speed of tracking and ease of implementation.The study is conducted extensively for estimation and tracking.The proposed learning algorithm is found to exhibit good estimation and tracking capabilities.

Keywords： neural networks     back propagation (BP)     rotor resistance estimators     vector control     induction motor    

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A novel power system reconfiguration for a distribution system with minimum load balancing index usingbacterial foraging optimization algorithm

K. Sathish KUMAR, T. JAYABARATHI

Frontiers in Energy 2012, Volume 6, Issue 3,   Pages 260-265 doi: 10.1007/s11708-012-0196-8

Abstract: In this paper, the objective of minimum load balancing index (LBI) for the 16-bus distribution systemis achieved using bacterial foraging optimization algorithm (BFOA).With the proposed reconfiguration method, the radial structure of the distribution system is retained

Keywords： bacterial foraging optimization algorithm (BFOA)     distribution system     network reconfiguration     load balancing    

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Astatistical distribution texton feature for synthetic aperture radar image classification Article

Chu HE, Ya-ping YE, Ling TIAN, Guo-peng YANG, Dong CHEN

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 10,   Pages 1614-1623 doi: 10.1631/FITEE.1601051

Abstract: We propose a novel statistical distribution texton (s-texton) feature for synthetic aperture radar (SARthe traditional texton feature, the framework of texture analysis, and the importance of statistical distributionin SAR images, the s-texton feature is developed based on the idea that parameter estimation of thestatistical distribution can replace the filtering operation in the traditional texture analysis of SARs-texton feature, several strategies are adopted, including pre-processing, spatial gridding, parameter estimation

Keywords： Synthetic aperture radar     Statistical distribution     Parameter estimation     Image classification    

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Obtain the optimum of logistics delivery network with annealing algorithm

Duan Jingmin,Chang Yuejun,Li Zanxiang,Cui Jianming

Strategic Study of CAE 2012, Volume 14, Issue 7,   Pages 109-112

Abstract:

Simulated annealing algorithm is a heuristic algorithm, proposed oneapproximation algorithm of solving optimization combinatorial problems inspired by objects in the annealingThe algorithm is superior to the traditional greedy algorithm,which avoids falling into local optimumThere are often some problems to find the shortest path, etc., in the logistics and we distribution network, and we need optimization for logistics and distribution path in order to achieve the shortest, best

Keywords： simulated annealing algorithm     global optimum     network of logistics and distribution network    

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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: the mathematical model of the electricity-gas interconnected integrated energy system and its state estimationFinally, 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 energymethod are only 0.0132% and 0.0864%, much lower than the estimation error by using the Lagrangian relaxationBesides, compared with the centralized estimation method, the proposed distributed method saves 5.42

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

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Estimation of load and resistance factors using the third-moment method based on the 3P-lognormal distribution

Yan-Gang ZHAO, Zhao-Hui LU

Frontiers of Structural and Civil Engineering 2011, Volume 5, Issue 3,   Pages 315-322 doi: 10.1007/s11709-011-0117-7

Abstract: article, the third-moment reliability index, based on the three-parameter lognormal (3P-lognormal) distribution

Keywords： load and resistance factors     third-moment method     three-parameter lognormal (3P-lognormal) distribution    

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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.process is used to model degradation data, whereas lifetime data are described via the inverse Gaussian distributionMethods for determining prior distribution by using the aforementioned three types of data are presentedestimate the residual life of products due to the complexity of the joint ML function and the posterior distributioneffectiveness 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

Estimation of distribution algorithm enhanced particle swarm optimization for water distribution network

Xuewei QI,Ke LI,Walter D. POTTER

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

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

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

Zhang Tieyan,Wang Chengmin,Sun Qiuye,Zhang Huaguang

Journal Article

Distribution system state estimation: an overview of recent developments

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

Journal Article

A modified neural learning algorithm for online rotor resistance estimation in vector controlled induction

A. CHITRA,S. HIMAVATHI

Journal Article

A novel power system reconfiguration for a distribution system with minimum load balancing index usingbacterial foraging optimization algorithm

K. Sathish KUMAR, T. JAYABARATHI

Journal Article

Astatistical distribution texton feature for synthetic aperture radar image classification

Chu HE, Ya-ping YE, Ling TIAN, Guo-peng YANG, Dong CHEN

Journal Article

Obtain the optimum of logistics delivery network with annealing algorithm

Duan Jingmin,Chang Yuejun,Li Zanxiang,Cui Jianming

Journal Article

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

Estimation of load and resistance factors using the third-moment method based on the 3P-lognormal distribution

Yan-Gang ZHAO, Zhao-Hui LU

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