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Fast Decoupled Multi-energy Flow Calculation for Integrated Energy System

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Journal of Modern Power Systems and Clean Energy 2020年第5期8卷 951-960页

作者： Yanbo Chen Junyuan Zhao jin ma School of Electrical and Electronic Engineering North China Electric Power UniversityBeijingChina School of Electrical and Information Engineering University of SydneySydneyAustralia

In recent years,as a promising option to improve the overall efficiency of energy utilization and absorptive capacity of renewable energies,the integrated energy system(IES)has raised great interest in academies and ***-energy flow(MF)calculation,which differs from the traditional power flow calculation,plays a basic role in analyzing *** calculation based on Newton-Raphson method has been proposed in literature,but its calculation efficiency is not *** this paper,a fast decoupled MF(FDMF)calculation method for IES is *** main idea is to replace the original Jacobian matrix of MF calculation based on Newton-Raphson method with a diagonal and constant Jacobian matrix by the *** simulations demonstrate that the proposed FDMF method can increase the calculation efficiency by at least 4 times with high calculation accuracy.

关键词： Integrated energy system(IES) multi-energy flow(MF) fast decoupled solution methodology combined electricity-heat-natural gas system flow calculation

A mixed-integer linear programming approach for robust state estimation

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Journal of Modern Power Systems and Clean Energy 2014年第4期2卷 366-373页

作者： Yanbo CHEN jin ma State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources North China Electric Power UniversityBeijing 102206China School of Electrical and Information Engineering University of SydneySydneyNSW 2006Australia

In this paper,a mixed integer linear programming(MILP)formulation for robust state estimation(RSE)is *** using the exactly linearized measurement equations instead of the original nonlinear ones,the existingmixed integer nonlinear programming formulation for RSE is converted to a MILP *** proposed approach not only guarantees to find the global optimum,but also does not have convergence *** results on a rudimentary 3-bus system and several IEEE standard test systems fully illustrate that the proposed methodology is effective with high efficiency.

关键词： State estimation Robustness Leverage point mathematical programming Mixed integer linear programming(MILP)

Large Deviations for 2D Primitive Equations Driven by Multiplicative Lévy Noises

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Acta mathematicae Applicatae Sinica 2021年第4期37卷 773-799页

作者： jin ma Rang-rang ZHANG School of mathematical Sciences Beihang UniversityBeijing102206China School of mathematics and Statistics Beijing Institute of TechnologyBeijing100081China

In this paper,we establish a large deviation principle for two-dimensional primitive equations driven by multiplicative Lévy *** proof is based on the weak convergence approach.

关键词： 2D primitive equation Ldvy noise large deviation principle

Dependence Rayleigh competing risks model with generalized censored data

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Journal of Systems Engineering and Electronics 2020年第4期31卷 852-858页

作者： WANG Liang ma jin’ge SHI Yimin School of mathematics and Statistics Xi’an Jiaotong UniversityXi’an 710049China School of mathematics Yunnan Normal UniversityKunming 650500China School of mathematics and Statistics Xidian UniversityXi’an 710071China Department of Applied mathematics Northwestern Polytechnical UniversityXi’an 710072China

The inference for the dependent competing risks model is studied and the dependent structure of failure causes is modeled by a marshall-Olkin bivariate Rayleigh distribution. Under generalized progressive hybrid censoring(GPHC), maximum likelihood estimates are established and the confidence intervals are constructed based on the asymptotic theory. Bayesian estimates and the highest posterior density credible intervals are obtained by using Gibbs sampling. Simulation and a real life electrical appliances data set are used for practical illustration.

关键词： dependence competing risks bivariate distribution generalized progressive hybrid censoring(GPHC) likelihood estimation Bayesian analysis

Dust-Acoustic Soliton in a Streaming Plasma

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Chinese Physics Letters 1997年第6期14卷 432-435页

作者： LIU jin-yuan ma jin-xiu Department of Modern Physics University of Science and Technology of ChinaHefei 230027

Large amplitude dust-acoustic solitons in a plasma with ion streaming are investigated on a very slow time scale of dust motion with variable grain *** is found that both compressional and rarefactive solitons can coe... 详细信息

关键词： solitons soliton rare

Distributed anonymous data perturbation method for privacy-preserving data mining

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Journal of Zhejiang University-Science A(Applied Physics & Engineering) 2009年第7期10卷 952-963页

作者： Feng LI jin ma Jian-hua LI School of Electronic Information and Electrieal Engineering Shanghai Jiao Tong University Shanghai 200030 China

Privacy is a critical requirement in distributed data mining. Cryptography-based secure multiparty computation is a main approach for privacy preserving. However, it shows poor performance in large scale distributed systems. Meanwhile, data perturbation techniques are comparatively efficient but are mainly used in centralized privacy-preserving data mining (PPDM). In this paper, we propose a light-weight anonymous data perturbation method for efficient privacy preserving in distributed data mining. We first define the privacy constraints for data perturbation based PPDM in a semi-honest distributed environment. Two protocols are proposed to address these constraints and protect data statistics and the randomization process against collusion attacks: the adaptive privacy-preserving summary protocol and the anonymous exchange protocol. Finally, a distributed data perturbation framework based on these protocols is proposed to realize distributed PPDM. Experiment results show that our approach achieves a high security level and is very efficient in a large scale distributed environment.

关键词： Privacy-preserving data mining (PPDM) Distributed data mining Data perturbation

Inference for dependence competing risks from bivariate exponential model under generalized progressive hybrid censoring with partially observed failure causes

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Journal of Systems Engineering and Electronics 2019年第1期30卷 201-208页

作者： WANG Liang LI Huanyu ma jin'ge School of mathematics and Statistics Xidian University

Inference are considered for the dependence competing risks model by using the marshal-Olkin bivariate exponential distribution. Under generalized progressively hybrid censoring with partially observed failure causes, the maximum likelihood estimators are established, and the approximate confidence intervals are also constructed via the observed Fisher information ***, Bayes estimates and highest probability density credible intervals are presented and the importance sampling technique is used to compute corresponding results. Finally, the numerical analysis is proposed for illustration.

关键词： dependence competing risk generalized progressive hybrid censoring bivariate exponential distribution Bayesian inference.

A method of autonomous orbit determination for satellite using star sensor

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Science China(Physics,Mechanics & Astronomy) 2005年第3期48卷 268-281页

作者： ma Jianbo XU jin CAO Zhibin Purple Mountain Observatory Chinese Academy of Sciences Nanjing 210008 China Purple Mountain Observatory Chinese Academy of Sciences Nanjing 210008 China Purple Mountain Observatory Chinese Academy of Sciences Nanjing 210008 China

In this paper a method of autonomous orbit determination using star sensor is studied. By building relatively consummate dynamical models which simulate attitude motion of satellite and observation from satellite to background stars, the simulant computation of this method is executed, and it is shown that the method of autonomous orbit determination is feasible. Academic and calculation analyses have been done for the relation between the direction of star sensor with respect to satellite-body coordinate system and the accuracy of autonomous orbit determination.

关键词： autonomous orbit determination of satellite, star sensor, attitude of satellite.

Renewed investigation on Power System Stabilizer design

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Science China(Technological Sciences) 2011年第10期54卷 2687-2693页

作者： ma jin WANG Haojing ZHANG Pu School of Electrical and Electronic Engineering North China Electric Power University Beijing 102206 China Beijing Power Company Beijing 100031 China

Power System Stabilizer (PSS) was proposed during 1960s to solve the low frequency oscillation problem raised by the wide application of the high-gain fast-response exciters. The fundamentals of PSS design lie in the angle compensation to increase the damping torque, which, since then, has become an important principle in designing the various power system dampers, such as SVC, TCSC, UPFC. Although many papers have been dedicated to the application of this principle, it is interesting to note that in the real industry applications PSS parameters have to be carefully tuned on site in spite of its mature design theory. So does the classical PSS design theory really meet the PSS design demand? By combining the frequency domain and the time domain analysis, this paper reinvestigates the basic idea behind the classical PSS design theory. The paper clarifies the con-cepts of the synchronous torque as well as the damping torque and proves that the classical PSS design principles based on these concepts are not theoretically sound. Then the paper discusses the Linear Optimal Controller Design method and ana-lyzes its relations with the conventional PID design. By doing so the paper reveals the real mechanism of the PSS and proposes to use more systematic and advanced control tools to enhance the controller performance.

关键词： power system stabilizer low frequency oscillation power system dynamics