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IEEE PES Asia-Pacific Power and Energy engineering Conference (APPEEC)

作者： Pairoj Kajoijilertsakul Santi Asawasripongtorn Peerayot Sanposh Jittiwut Suwatthikul Hideaki Fujita Department of Electrical Engineering Faculty of Engineering Kasetsart University Bangkok Thailand Industrial Control and Automation Laboratory National Electronics and Computer Technology Center Bangkok Thailand Department of Electrical and ElectronicEngineering Tokyo Institute of Technology Tokyo Japan

This paper presents modeling of the 500 kV transmission line located between Bang-Saphan 2 (BSP2) and Chom-Bung (CBG) substations, Thailand. The network is modeled based on the transient simulation program- PSCAD/EMTDC. The equivalent circuit of BSP2 and CBG is obtained from the actual parameters. The initial condition parameters are verified by PSS/E, an electrical simulation program. After the modeling has been established, a fault analysis is done by using PSCAD/EMTDC in order to study the system response when fault constrains are applied. This paper has illustrated that how the information on the sampled voltage and current waveforms derived from PSCAD/EMDTC modeling and simulation can be used for fault detection, classification and location.

关键词： Integrated circuit modeling Circuit faults PSCAD EMTDC Protective relaying Power transmission lines RLC circuits

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Wavelet based fault detection, classification and location in existing 500 kV transmission line

Wavelet based fault detection, classification and location i...

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International Conference on Electrical engineering/Electronics, Computer, Telecommunications and Information technology, ECTI-CON

This paper describes the implementation of Wavelet Transform and Spectral Energy analysis on samples of simulated voltage and current waveforms obtained from PSCAD/EMTDC for each of the all possible fault scenarios in a modeled 500 kV transmission network. The fault detection and classification of each fault scenarios is determined based on results of the voltage and current waveforms analysis in time and wavelet domains. The analysis is carried out including variation in fault types, inception angles and locations with a practically arbitrarily assumed fault duration. The analytical results shows that the described technique is highly dependable and is able to detect and classify different kinds of faults along a transmission line whatever is the fault type, inception angle and location.

关键词： Entropy PSCAD EMTDC Power measurement TV Tin Surges

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On the Polyhedral Set-Invariance Conditions for Time-Delay systems

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IFAC Proceedings Volumes 2011年第1期44卷 308-313页

作者： Warody Lombardi Sorin Olaru Mircea Lazar Georges Bitsoris Silviu-Iulian Niculescu SUPELEC Systems Sciences (E3S) – Automatic Control Department France LSS – Laboratory of Signals and Systems SUPELEC-CNRS Gif-sur-Yvette France Department of Electrical and Computer Engineering – University of Patras Patras Greece Department of Electrical Engineering Eindhoven University of Technology Eindhoven The Netherlands

Abstract In this paper the concept of set invariance for time-delay systems is introduced with a specific attention to the linear discrete-time case. We are interested in the definition of a D(elay) -invariant set with respect to a bounded polyhedral subset of the state-space. D -invariance conditions are derived based on the Minkowski addition in a first stage, and subsequently translated in feasibility-based tests in order to obtain an efficient computation time

关键词： Set Invariance Constrained systems Time-Delay systems

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A Energy Balanced Deployment for Linear Wireless Sensor Networks

A Energy Balanced Deployment for Linear Wireless Sensor Netw...

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2011 International Conference on Computer Science and Network technology(2011计算机科学与网络技术国际会议 ICCSNT 2011)

作者： Zhengjie Wang Xiaoguang Zhao Xu Qian College of Information and Electrical Engineering Shandong University of Science and Technology Qi State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese School of Mechanical Electronic & Info. Engineering China University of Mining & Technology (Beijin

ISBN: (纸本)9781457715860

Linear wireless sensor networks are characterized by a linear topology and multihop forwarding patterns. Sensors closer to the base station are usually required to forward a large amount of traffic for sensors farther from the base station, leading to the environment cannot be effectively monitored. The energy consumption balance is achieved in the paper by adjusting the distance between nodes. The distance of nodes near the base station become short because they have to forward the more traffic. The node deployment is converted to optimization problems of distance distribution between nodes. The network lifetime under different number of forwarding region is discussed. Simulation results show that this deployment strategy obtains the energy consumption balance.

关键词： wireless sensor networks optimal communication distance energy consumption balance distance optimal

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Robust Filtering for Networked systems with Random Transmission Delays and Packet Dropouts

Robust Filtering for Networked Systems with Random Transmiss...

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2011 American control Conference (ACC)

作者： Yunze Cai Hua O. Wang Kazuo Tanaka Xiaoming Xu Department of Mechanical Engineering Boston University Boston MA USA Department of Automation and Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai Jiaotong University Shanghai China Department of Mechanical Systems and Intelligent Systems University of Electro-Communications Tokyo Japan Department of Automation Shanghai Jiaotong University Shanghai China University of Shanghai for Science and Technology Shanghai China

This paper addresses a robust H_(infinity) filtering problem for networked systems that are subject to both random transmission delays and packet dropouts. To start with, a data transmission model is established by employing random series with Bernoulli distributions. A sufficient condition for robust stability with H_(infinity) constraints is derived for the filtering error system. The robust filter is designed in terms of the feasibility of a linear matrix inequality (LMI). The numerical examples are provided to show the effectiveness of the data transmission model and the proposed filtering method.

关键词： Delay Filtering Robustness Data models Symmetric matrices Hidden Markov models Markov processes

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Topic model with constrainted word burstiness intensities

Topic model with constrainted word burstiness intensities

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International Joint Conference on Neural Networks (IJCNN)

作者： Shaoze Lei JianWen Zhang Shifeng Weng Changshui Zhang State Key Laboratory of Intelligent Technology and Systems Tsinghua National Laboratory for Information Science and Technology(TNList) Department of Automation Engineering Tsinghua University Beijing China School of Electronics and Information Zhejiang Wanli University China

Word burstiness phenomenon, which means that if a word occurs once in a document it is likely to occur repeatedly, has interested the text analysis field recently. Dirichlet Compound Multinomial Latent Dirichlet Allocation (DCMLDA) introduces this word burstiness mechanism into Latent Dirichlet Allocation (LDA). However, in DCMLDA, there is no restriction on the word burstiness intensity of each topic. Consequently, as shown in this paper, the burstiness intensities of words in major topics will become extremely low and the topics' ability to represent different semantic meanings will be impaired. In order to get topics that represent semantic meanings of documents well, we introduce constraints on topics' word burstiness intensities. Experiments demonstrate that DCMLDA with constrained word burstiness intensities achieves better performance than the original one without constraints. Besides, these additional constraints help to reveal the relationship between two key properties inherited from DCM and LDA respectively. These two properties have a great influence on the combined model's performance and their relationship revealed by this paper is an important guidance for further study of topic models.

关键词： Semantics Optimization Monte Carlo methods Resource management Compounds Inference algorithms Educational institutions

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A novel type of trigonometric neural network trained by Extended Kalman Filter

A novel type of trigonometric neural network trained by Exte...

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International Workshop on Advanced Computational Intelligence (IWACI)

作者： M. Norouzi M. Mansouri M. Teshnehlab M. Aliyari Shoorehdeli Faculty of Engineering Department of Computer Engineering Science and Research Branch Islamic Azad University Iran Intelligent System Laboratory (ISLAB) Faculty of Electrical Engineering Control Department K.N. Toosi University of Technology Tehran Iran Faculty of Electrical Engineering Department of Mechatronics Engineering Advanced Process Automation &Control Laboratory (APAC) K.N. Toosi University of Technology Tehran Iran

In this study, a new type of trigonometric neural network is presented by adding frequency and phase to trigonometric activation functions. The proposed trigonometric neural network has more flexibility in comparison with conventional trigonometric neural networks and even other types of neural networks. Due to the low convergence rate and high posibility of trapping in a local minimum of backpropagation algorithm, Extended Kalman Filter algorithm is used to train the neural network's parameters which they appear in a nonlinear form. The Simulation of the suggested neural network based on the prediction of Mackey-Glass time series and identification of a nonlinear dynamic ystem reveals the efficiency of the proposed network. To show the efficiency of this method, the results are compared with the results of the others.

关键词： Biological neural networks Kalman filters Equations Neurons Vectors Covariance matrix Mathematical model

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Training ANFIS system with DE algorithm

Training ANFIS system with DE algorithm

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International Workshop on Advanced Computational Intelligence (IWACI)

作者： Allahyar Z. Zangeneh Mohammad Mansouri Mohammad Teshnehlab Ali K. Sedigh Computer Engineering Department Science and Research Branch Islamic Azad university of Tehran Iran Intelligent System laboratory (ISLAB) Control Department K. N. Toosi University of Technology Tehran Iran Advanced Process Automation & Control laboratory (APAC) Control Department K. N. Toosi University of Technology Tehran Iran

In this study, a new type of training the adaptive network-based fuzzy inference system (ANFIS) is presented by applying different types of the Differential Evolution branches. The TSK-type consequent part is a linear model of exogenous inputs. The consequent part parameters are learned by a gradient descent algorithm. The antecedent fuzzy sets are learned by basic differential evolution (DE/rand/1/bin) and then with some modifications in it. This method is applied to identification of the nonlinear dynamic system, prediction of the chaotic signal under both noise-free and noisy conditions and simulation of the two-dimensional function. Instead of DE/rand/1/bin, this paper suggests the complex type (DE/current-to-best/1+1/bin & DE/rand/1/bin) on predicting of Mackey-glass time series and identification of a nonlinear dynamic system revealing the efficiency of proposed structure. Finally, the method is compared with pure ANFIS to show the efficiency of this method.

关键词： Vectors Adaptive systems Input variables Training Mathematical model Equations Firing

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Introduction

Communications and Control Engineering

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Communications and control engineering 2011年第9780857292551期 1-15页

作者： Sun, Zhendong Ge, Shuzhi Sam College Automation Science & Engineering Center for Control and Optimization South China University of Technology Guangzhou510640 China Department of Electrical and Computer Engineering The National University of Singapore Singapore Singapore Robotics Institue and Institute of Intelligent Systems and Information Technology University of Electronic Science and Technology of China Chengdu China

Chapter 1 briefly introduces the problem formations and the organization of the book. In particular, given a feasible set of switching signals, the concepts of stability and stabilizability are introduced, and the related problems of stability and stabilization are briefly formulated and discussed. Examples and simulations are provided to exhibit the primary features of the problems with various switching mechanisms. © 2011, Springer-Verlag London Limited.

关键词： Stabilization

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Planning and Dispatching of Hybrid Renewable Power System Based on Portfolio Theory

Planning and Dispatching of Hybrid Renewable Power System Ba...

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2011 2nd International Conference on Advances in Energy engineering(ICAEE)

作者： HU Zhi YAN Zheng JIANG Wen Key Laboratory of Control of Power Transmission and Transformation Ministry of EducationDepartment of Electrical EngineeringShanghai Jiao Tong University School of Industrialand Systems EngineeringGeorgia Institute of Technology

Renewable energies are growing fast and have occupied great percentage in power ***,one major drawback of most renewable energies is the variability due to the stochastic nature of wind speed,solar irradiation,and *** is important to integrate the risk of wind power's uncertainty into profitability assessments for *** this paper,certain effective ideas from portfolio theory in financial engineering field are exploited to deal with renewable energies as risky assets to be ***'s a systematic way to neutralize risks as well as maximize return *** adjust these financial tools used to solve renewable energy's problem,some other financial models and concepts are *** Series models,ARMA(autoregressive moving average),GARCH(generalized autoregressive conditional heteroscedasticity) and PSO(particle swarm optimization) algorithm are utilized to modify data to be real-time *** function is introduced to evaluate different energy *** paper is abundant with interdisciplinary ideas using advanced risk management methods on renewable energy *** proposed approach is also applied in real world problem to provide consulting evidence for power system planning and dispatching in Gansu province,northwest of China.

关键词： Portfolio Theory Renewable Energy Risk Management Utility Function ARMA-GARCH PSO

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