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Conference Record of the IEEE Industry Applications Society Annual Meeting (IAS)

作者： Seung-mook Baek Jung-wook Park Ganesh K. Venayagamoorthy Power IT and System Laboratory School of Electrical and Electronic Engineering YONSEI University Seoul South Korea Real-Time Power and Intelligent Systems Laboratory Department of Electrical and Computer Engineering University of Missouri Rolla MO USA

The output limits of the power system stabilizer (PSS) can improve the system damping performance immediately following a large disturbance. Due to non-smooth nonlinearities from the saturation limits, these values cannot be determined by the conventional tuning methods based on linear analysis. Only ad hoc tuning procedures can be used. A feedforward neural network (FFNN) (with a structure of multilayer perceptron neural network) is applied to identify the dynamics of an objective function formed by the states, and thereafter to compute the gradients required in the nonlinear parameter optimization. Moreover, its derivative information is used to replace that obtained from the trajectory sensitivities based on the hybrid system model with the differential-algebraic-impulsive-switched (DAIS) structure. The optimal output limits of the PSS tuned by the proposed method are evaluated by time-domain simulation in both a single machine infinite bus system (SMIB) and a multi-machine power system (MMPS)

关键词： power system control Neural networks Hybrid power systems power system modeling Multi-layer neural network Feedforward neural networks power system simulation power system analysis computing Damping Multilayer perceptrons

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Model Identification for Spinning Reserve Management

Model Identification for Spinning Reserve Management

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Canadian Conference on electrical and computer engineering (CCECE)

作者： Ch. Roethlisberger A.M. Gole U.D. Annakkage G. Andersson Department of Information Technology and Electrical Engineering ETH Zurich Zurich Zurich Switzerland Department of Electrical and Computer Engineering University of Manitoba Winnipeg Canada ETH Zurich Power System Laboratory Zurich Zurich Switzerland

This paper presents a model which facilitates the allocation of spinning reserve in a power network which includes a large HVDC infeed. The basic area control model of the power system is developed and subsequently fine-tuned using a non-linear optimization procedure. The model is then used to evaluate the frequency control performance in the face of a known load forecast considering NERC performance standards

关键词： Spinning power system modeling power system management HVDC transmission Nonlinear control systems power system control power systems Predictive models Frequency control Load forecasting

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Time-varying failure rate extraction in electric power distribution equipment

Time-varying failure rate extraction in electric power distr...

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International Conference on Probabilistic Methods Applied to power systems (PMAPS)

作者： Jong-Fil Moon Jea-Chul Kim Hee-Tae Lee Sang-Seung Lee Yong Tae Yoon Kyung-Bin Song Power System Laboratory Korea Electrical Engineering and Science Research Institute Seoul South Korea Department of Electrical Engineering Soongsil University Seoul South Korea School of Electrical Engineering and Computer Sciences Seoul National University Seoul South Korea

Reliability evaluation of power distribution system is very important to both power utilities and customers. It presents the probabilistic number and duration of interruption such as failure rate, SAIDI, SAIFI, and CAIDI. However, it has a fatal weakness at reliability index because of accuracy of failure rate. In this paper, the time-varying failure rate (TFR) of power distribution system equipment is extracted from the recorded failure data of Korea Electric power Corporation (KEPCO) in Korea. For TFR extraction, it is used that the fault data accumulated by KEPCO during 10 years. The TFR is approximated to bathtub curve using the exponential (random failure) and Weibull (aging failure) distribution function. In addition, Kaplan-Meier estimation is applied to TFR extraction because of incomplete failure data of KEPCO. Finally, probability plot and regression analysis is applied. It is presented that the extracted TFR is more effective and useful than mean failure rate (MFR) through the comparison between TFR and MFR

关键词： power system reliability Data mining Weibull distribution power distribution Failure analysis power systems Time varying systems Moon Switches Hazards

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Fast Prediction of Loadability Margins by Constructing a Small-Signal Stability Boundary Based on Neural Networks

Fast Prediction of Loadability Margins by Constructing a Sma...

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International Conference on power system Technology (powerCON)

作者： Xueping Gu Claudio A. Canizares Key Laboratory of Power System Protection and Dynamic Security Monitoring and Control under Ministry of Education North China Electric Power University Baoding Hebei China Department of Electrical and Computer Engineering University of Waterloo Waterloo ONT Canada

Determining loadability margins to various security limits is of great importance for the secure operation of a power system. A novel approach is proposed in this paper for fast prediction of loadability margins with respect to small-signal stability based on neural networks. Small-signal stability boundaries are constructed by means of loading the power system until the stability limits are reached from a base operating point along various loading directions. Back-propagation neural networks (BPNN) for different contingencies are trained to approximate these stability boundaries. A search algorithm is then proposed to predict the loadability margins from any stable operating point along arbitrary loading directions through an iterative technique based on the trained BPNNs. The simulation results for the IEEE two-area benchmark system demonstrate the effectiveness of the proposed method for on-line prediction of loadability margins.

关键词： Neural networks power system stability power system security Voltage power system simulation Monitoring National security Control systems Operating systems Bifurcation

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A Study of real-time EMG-driven Arm Wrestling Robot

A Study of real-time EMG-driven Arm Wrestling Robot

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IEEE International Conference on Robotics and Biomimetics

作者： Quanjun Song Huanghuan Shen Shuangwei Xie Zhen Gao Ming Liu Yu Yong Yunjian Ge Department of Automation University of Science and Technology Hefei Anhui China Laboratory of Robot Sensing System Institute ofIntelligent Machines Chinese Academy and Sciences Hefei Anhui China Department of Electrical and Computer Systems Engineering Monash University Melbourne VIC Australia

An EMG-driven arm wrestling robot (AWR) is being developed in our laboratories for the purposes of studying neuromuscular control of arm movements. The AWR arm have 2-DOF, integrated with mechanical arm, elbow/wrist force sensors, servo motor, encoder, 3-D MEMS accelerometer, and USB camera, is used to estimate tension developed by individual muscles based on recorded electromyograms (EMGs). The surface electromyographic signal form the upper limb is sampled from a real player in same conditions. By using the method of wavelet packet transformation (WPT) and auto regressive model (AR), the characteristics of EMG signals can be extracted. Artificial neural network is adopted to estimate the elbow joint torque. The effectiveness of the humanoid algorithm using torque control estimated via WRT and neural network is confirmed by experiments. The purpose of this paper is to describe the design objectives, fundamental components and implementation of our real-time, EMG-driven AWR arm.

关键词： Robot sensing systems Elbow Electromyography Artificial neural networks Laboratories Neuromuscular Wrist Force sensors Servomechanisms Servomotors

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Theoretical analysis of current density distribution in superconducting plate of flat type superconducting fault current limiter

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Journal of Physics: Conference Series 2006年第1期43卷 933-936页

作者： Shimizu, H. Sannomiya, K. Watanabe, N. Yokomizu, Y. Matsumura, T. Shibuya, M. Ichikawa, M. Kado, H. Department of Electrical System Engineering Polytechnic University Sagamihara Kanagawa 229-1196 4-1-1 Hashimotodai Japan Department of Electrical Engineering and Computer Science Nagoya University Chikusa-ku Nagoya 464-8603 Furo-cho Japan Electric Power Engineering Research Laboratory Central Research Institute of Electrical Power Industry Yokosuka Kanagawa 240-0196 2-6-1 Nagasaka Japan

We have proposed an inductive (magnetic shielding) type of superconducting fault current limiter which consists of a high Tc superconducting plate in doughnut shape and spiral coil as the primary winding. In this pape...

We have proposed an inductive (magnetic shielding) type of superconducting fault current limiter which consists of a high T_c superconducting plate in doughnut shape and spiral coil as the primary winding. In this paper, the current density distribution in the superconducting plate was theoretically investigated to understand the fundamental performance of this type of current limiter. For the analysis, we developed the calculation method for the current density. The current density is distributed almost uniformly in the superconducting plate. The impedance of the current limiter changes every moment not only in current limiting operation but also normal operation. That is because the resistance in the superconducting plate and magnetic coupling condition in the current limiter also change with time. Relatively large impedance rapidly appears in the current limiter when the current density in all the area of the superconducting plate attain to the critical current density. © 2006 IOP Publishing Ltd.

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Optimal control parameters for a UPFC in a multimachine using PSO

Optimal control parameters for a UPFC in a multimachine usin...

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13th International Conference on Intelligent systems Application to power systems, ISAP'05

作者： Venayagamoorthy, Ganesh K. IEEE Real-Time Power and Intelligent System Laboratory Department of Electrical and Computer Engineering University of Missouri Rolla MO 65409 United States

ISBN: (纸本)1599750287

The crucial factor affecting the modern power systems today is load flow control. The Unified power Flow Controller (UPFC) is an effective means for controlling the power flow and can provide damping capability during transient conditions. The UPFC is controlled conventionally using PI controllers. The optimal design of the PI controllers for a UPFC is a challenging task and time consuming using the conventional techniques. This paper presents an approach using Particle Swarm Optimization (PSO) for the design of optimal conventional controllers for a UPFC in a multimachine power system. Simulation results are presented to show the effectiveness of the proposed PSO based approach for the design of optimal conventional controllers for a UPFC in a multimachine power system. © 2005 ISAP.

关键词： Electric control equipment

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A characterization methodology for distribution system abnormalities using wavelet packets and self-organizing map neural networks

A characterization methodology for distribution system abnor...

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13th International Conference on Intelligent systems Application to power systems, ISAP'05

作者： Mousavi, Mirrasoul J. Butler-Purry, Karen L. IEEE ABB Inc. Power Technology Department Raleigh NC 27606 Texas A and M University Department of Electrical Engineering Power System Automation Laboratory College Station TX 77843-3128

ISBN: (纸本)1599750287

Automatic data processing and information retrieval is a desirable approach in dealing with the curse of the large volume of data recorded for the condition assessment of equipment in power systems. This approach involves developing a methodology that utilizes the inherent relationships of the data to automate the characterization of system behavior. This paper discusses a practical approach to process incipient abnormality data in an underground distribution system to detect failing equipment. The core components of the proposed approach consist of feature extraction, data mapping, clustering, and rule extraction. Wavelet packet analysis was used to extract the informative features from high frequency current signals and the self-organizing map was utilized to model the data and produce prototype vectors. Descriptive rules for the identified patterns were extracted from the k-means clustering results. The results can be employed in rule-based classifiers to automatically characterize the data in an unsupervised fashion. © 2005 ISAP.

关键词： Electric power distribution

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Optimal control parameters for a UPFC in a multimachine using PSO

Optimal control parameters for a UPFC in a multimachine usin...

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International Conference on Intelligent systems Applications to power systems (ISAP)

作者： G.K. Venayagamoorthy Real-Time Power and Intelligent System Laboratory Department of Electrical and Computer Engineering University of Missouri Rolla MO USA

The crucial factor affecting the modern power systems today is load flow control. The unified power flow controller (UPFC) is an effective means for controlling the power flow and can provide damping capability during transient conditions. The UPFC is controlled conventionally using PI controllers. The optimal design of the PI controllers for a UPFC is a challenging task and time consuming using the conventional techniques. This paper presents an approach using particle swarm optimization (PSO) for the design of optimal conventional controllers for a UPFC in a multimachine power system. Simulation results are presented to show the effectiveness of the proposed PSO based approach for the design of optimal conventional controllers for a UPFC in a multimachine power system

关键词： Optimal control power system simulation power system transients Load flow power system control power systems Load flow control Damping Particle swarm optimization Control systems

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An improved investment priority decision method for the electrical facilities considering reliability of distribution networks

An improved investment priority decision method for the elec...

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2005 IEEE power engineering Society General Meeting

作者： Choi, J.H. Park, C.H. Chae, W.K. Jang, S.I. Kim, K.H. Park, K. IEEE Korea Republic of Power System Laboratory Korea Electric Power Research Institute Korea Electric Power Corporation Taejeon 103-16 Korea Republic of BK21 Research Division for Information Technology Seoul National University Seoul 151-742 Korea Republic of Department of Electrical and Computer Engineering Kangwon National University Chuncheon 200-701 Korea Republic of Next-Generation Power Technology Center Korea Republic of School of Electrical Engineering Seoul National University Seoul 151-742 Korea Republic of Power System Laboratory Korea Electric Power Research Institute Korea Electric Power Corporation Korea Republic of KIEF United States KIIEE Korea Republic of BK21 Research Division for Information Technology Seoul National University Korea Republic of Department of Electrical and Computer Engineering Kangwon National University Korea Republic of School of Electrical Engineering Seoul National University Korea Republic of

ISBN: (纸本)078039156X

This paper proposes an improved investment priority decision method of the facilities considering the reliability of distribution networks. The proposed method decides an investment order of the facilities combining, by fuzzy rules, the investment priority decision by KEPCO and it by reliability evaluation indices. Where reliability evaluation indices are SAIFI(system Average Interruption Frequency Index) and SAIDI(system Average Interruption Duration Index). The reliability analysis method of distribution networks applied in this paper utilizes analytic method, where the used reliability data is historical data of KEPCO. Particularly, we assumed that the failure rate increased as the equipment ages. To verify the performance of the proposed method, we applied it with the planned projects to reinforce the weak facility electrical facilities in KEPCO in 2004. The evaluation result showed that, under a limited budget, the reliability of the KEPCO in the Busan region using the proposed method could be enhanced than using the conventional KEPCO's method. Therefore, the results verify the proposed method can be efficiently used in the actual priorities method for investing the electrical facilities. © 2005 IEEE.

关键词： Electric utilities

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