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Annual Meeting of the IEEE-Industry-Applications-Society

作者： Liang, Yongliang Li, Ke-Jun Niu, Lin Zhao, Jianguo Lee, Wei-Jen Ding, Zhaohao Ren, Jingguo Gao, Hongxia Shandong Univ Minist Educ Key Lab Power Syst Intelligent Dispatch & Control Jinan 250061 Peoples R China State Grid China Technol Col Jinan 250002 Peoples R China Univ Texas Arlington Energy Syst Res Arlington TX 76019 USA

ISBN: (纸本)9781467352031

This paper proposes a three-level transformer condition assessment model based on matter-element cloud theory and evidential reasoning decision-making theory. Both quantitative and qualitative factors are considered in the model. Matter-element cloud model is utilized to integrate the quantitative indices with their optimal weights to assess the condition of items, including Dissolved Gas Analysis(DGA), electrical testing and oil testing in the first level in the form of association degrees with state grades to generate the original basic probability assignments for the second-level model. D-S evidential reasoning decision-making model is utilized in the second level to assess the condition of systems including quantitative system and qualitative system and in the third level to assess condition of the overall transformer. Both fuzziness and randomness are taken into consideration in this model. Experimental cases confirm that the assessing model is capable of offering an overall assessment of the observed transformer condition and assisting the maintenance strategy development.

关键词： terms matter-element cloud optimal weight D-S evidential reasoning three-level model condition assessment

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One parametric approach for short-term JPDF forecast of wind generation

One parametric approach for short-term JPDF forecast of wind...

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

作者： Simeng Zhu Ming Yang Meng Liu Wei-Jen Lee Key Laboratory of Power System Intelligent Dispatch and Control Shandong University Jinan China Energy Systems Research Center University of Texas at Arlington Arlington USA

The time domain correlation information of wind generation is important for wind power utilization. This paper proposes a parametric approach for short-term multi-period joint probability density function (JPDF) forecast of wind generation, which contains such correlation information. The approach makes a spot forecast of wind generation by using Support Vector Machine (SVM), and the probability distribution of SVM forecast errors are estimated using Sparse Bayesian Learning (SBL), which assumes the forecast errors follow Gaussian distribution. Then, the SVM forecast results are corrected by the expectation of the forecast errors. The correlation coefficient matrix of wind generation forecast errors during forecast periods is estimated from historical SVM forecast errors. By combining the variance information obtained by SBL and the correlation coefficient matrix, the covariance matrix of the forecast errors within multiple successive forecast periods is formed. Thereby, the JPDF of wind generation is obtained. Data from an actual wind farm are used for the study. The spot and distribution forecast accuracy of the proposed approach is assessed by quantitative indices. The study results illustrate the effectiveness of the proposed approach. Furthermore, the justification of the Gaussian distribution assumption of SBL is also explained in this paper.

关键词： Time-domain analysis Wind power generation power systems planning Support vector machines Bayes methods

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Maximizing restorable load amount for specific substation during system restoration

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INTERNATIONAL JOURNAL OF ELECTRICAL power & ENERGY systemS 2012年第1期43卷 1213-1220页

作者： Qu, Hanbing Liu, Yutian Shandong Univ Key Lab Power Syst Intelligent Dispatch & Control Minist Educ Jinan 250061 Peoples R China

During power system restoration, the maximum load amount that a substation can pick up at one time is a critical parameter to be determined. Many factors should be considered, such as frequency constraint, transient voltage-dip constraint, steady-state voltage constraint and cold load pickup. This paper proposes a mathematical model for calculating the maximum restorable load amount, in which proper checking methods are presented to deal with these constraints. Frequency deviation is calculated by the average system frequency model. The transient voltage-dip constraint is dealt with by a fast estimation. Cold load pickup characteristics are addressed according to a simple guideline. And a modified bisection algorithm is proposed to solve the complex problem efficiently. The effectiveness is demonstrated by case studies performed on the IEEE 14-bus system and a practical power system. (C) 2012 Elsevier Ltd. All rights reserved.

关键词： power system restoration Load restoration Transient voltage-dip constraint Average system frequency model Bisection algorithm

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Wireless remote monitoring system for the AGC svibration fault of rolling mill

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Journal of Applied Sciences 2013年第21期13卷 4875-4880页

作者： Gao, Yan Jin, Baoquan Zhang, Hongjuan College of Electrical and Power Engineering Taiyuan University of Technology 030024 Taiyuan China Key Lab of Advanced Transducers and Intelligent Control System Ministry of Education Taiyuan University of Technology 030024 Taiyuan China

The rolling mill screw down AGC system sets several subsystems of machinery, electronics, hydraulics, controls in one. Under the action of responding extreme frequency or external disturbances, the non design objective coupling between the subsystems may be excited, and causing the most serious vibration, seriously impact product quality or even cause great destruction. Aiming at the defects in fault diagnosis and control system of the traditional rolling mill, the wireless remote monitoring system for the rolling mill AGC system vibration fault is designed in this paper. Using the advanced sensor technology, PLC and configuration software, GPRS network technology, the parallel distributed data acquisition and data processing for the key servo element and the hydraulic parameters which can characterize the fault characteristics of the system can be done. The monitoring software system platform on line of the hydraulic AGC system based on Kingview is set up for centralized real-time monitoring. According to the collected multidisciplinary parameter the fault identification and location is done by using the fault diagnosis expert system based on Web, thus to make the preliminary evaluation for the operation and fault of hydraulic AGC system and provide advanced prediction and exclude strategy. © 2013 Asian Network for Scientific Information.

关键词： Failure analysis

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The vibration mechanism caused by external disturbance and suppression method of the rolling mill system

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Energy Education Science and Technology Part A: Energy Science and Research 2013年第4期31卷 2623-2626页

作者： Gao, Yan Jin, Baoquan Zhang, Hongjuan Taiyuan University of Technology College of Electrical and Power Engineering Taiyuan 030024 China Taiyuan University of Technology Key Lab of Advanced Transducers and Intelligent Control System Ministry of Education Taiyuan 030024 China

The rolling mill screw down system has complex control, large loading force, more disturbance factors, and complex disturbance relationships. The action of responding extreme frequency or external disturbances can cause the mill vibrating seriously, affect the quality of products or even cause great destruction. Based on the study of the external disturbance induced vibration mechanism of rolling mill, PID control based on low pass filter is used to suppress the vibration, and achieved content results in the united simulation of AMESim-MATlab/Simulink. © Sila Science. All Rights Reserved.

关键词： Low pass filters

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Design of water source well and pipe network monitoring system of mine based on configuration software

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Energy Education Science and Technology Part A: Energy Science and Research 2013年第2期31卷 1019-1024页

作者： Gao, Yan Jin, Baoquan Zhang, Hongjuan College of Electrical and Power Engineering Taiyuan University of Technology Taiyuan 030024 China Key Lab of Advanced Transducers and Intelligent Control System Ministry of Education Taiyuan University of Technology Taiyuan 030024 China

Aiming at the status that the water source well has large quantity, far distance, complex pipe network distribution, monitoring and leak detection and location is not timely, the water source well and pipe network monitoring system based on configuration software is designed. Working conditions of the water source well and the pipe network in mine can be monitored by using distributed substation acquisition and master station centralized monitoring. Field data collected from sub-station is transmitted to the master station through wireless data transceiver. The communication is realized between the master station and the remote monitoring center by using fiber Ethernet technology. The field data and alarm information can be real-time displayed and processed in the remote monitoring center by using KingView configuration software, which can realize manual and automatic control, local and remote monitoring. © Sila Science.

关键词： Monitoring

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Padé Approximation Based Method for Computation of Eigenvalues for Time Delay power system

Padé Approximation Based Method for Computation of Eigenval...

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International Universities power Engineering Conference

作者： Xinsheng Niu Hua Ye Yutian Liu Xiaoming Liu Power Economic Research Institute Shandong Electric Power Company China Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Shandong University China

ISBN: (纸本)9781479932559

Transcendental terms appear in the characteristic equation of a power system and results in an infinite number of eigenvalues, when time delays in the feedback signals of power system wide-area damping controllers are considered. This makes it very difficult to obtain system eigenvalues via direct solution of the equation. In this paper, a method for computing a reduced set of eigenvalues of a time delay power system is proposed by using Padé rational polynomials to approximate the delays. The Padé polynomials are firstly transformed into their equivalent state space representations. By interconnecting the models of the open-loop power system, wide-area damping controllers and the state space representations of time delays, the linearized model for the closed-loop power system is then established and a reduced set of eignevalues of the system can be computed. The method has been tested on the New England 10-machine 39-bus test systems and compared with the eigenvalue computation method in the software package DDE-BIFTOOL. It shows that the proposed Padé approximation-based method can accurately obtain nearly all of the eigenvalues relating to system dynamic devices. The number of eigenvalues relating to time delays that can be correctly computed and their accuracy strongly relates to the orders of the Padé rational polynomials.

关键词： wide area measurement system wide area damping control time delay small disturbance stability eigenvalue analysis Padé approximation

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Comparative research on total transfer capability calculation using load model

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Telkomnika - Indonesian Journal of Electrical Engineering 2013年第4期11卷 1776-1780页

作者： Shi, Guoping Liang, Jun Gu, Peng School of Electrical Engineering Shandong University Shandong 250061 China School of information and electrical engineering Shandong Jianzhu University Shandong 250061 China Key laboratory of power system intelligent dispatch and control of ministry of education Shandong University Shandong 250061 China Shandong Electric Power Construction No.1 Company Jinan Shandong 250061 China

This paper proposes a method calculating total transfer capability(TTC) and critical voltage using static power model based on real-time recording data, traditional power system dispatching calculation doesn't consider load model, which does not agree with the real, this paper compares TTC and critical voltage under different load model and P-V curves, on which load model has a strong influence, so load modeling is necessary based on real-time data and is significant for improving system stability. The simulations show necessity and suitability of the method ©2013 Universitas Ahmad Dahlan.

关键词： system stability

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THE IMPROVEMENT OF THE CHARACTERISTICS OF INTEGRATED DFIG BY BATTERY ENERGY STORAGE system

THE IMPROVEMENT OF THE CHARACTERISTICS OF INTEGRATED DFIG BY...

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China International Conference on Electricity Distribution (CICED)

作者： Xia, Xue Liu, Yutian Shandong Univ Minist Educ Key Lab Power Syst Intelligent Dispatch & Control Jinan Peoples R China

ISBN: (纸本)9781467360654

With higher penetration of the wind power generation, the influence on power system is significant. Characterized as instable and discontinuous, wind power will produce certain impact when integrated into local power grid, leading to power quality deterioration, frequency and voltage instability. This study investigated the influence of the battery energy storage system (BESS) on the characteristics of Doubly-fed induction generator (DFIG), and has shown promising improvement of DFIG by BESS. The modeling and simulation are based on the PSCADlEMTDC software.

关键词： Doubly-fed induction generator energy storage system grid converter DC bus

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Risk-based Optimization Model for system Maintenance Scheduling

Risk-based Optimization Model for System Maintenance Schedul...

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IEEE International Conference on power system Technology (powerCON)

作者： Xu, Bo Han, Xueshan Wang, Yong Sun, Donglei Shandong Univ Minist Educ Key Lab Power Syst Intelligent Dispatch & Control Jinan 250061 Peoples R China

ISBN: (纸本)9781467328685

In the context of Condition Based Maintenance (CBM), this paper presents a risk-based optimization model for system maintenance scheduling problem. It consists on optimizing availability and cost of the system by balancing between system maintenance risk and failure risk. In this paper, system reliability constraint is considered. Reliability of system components is characterized by their failure rate functions. Possible maintenance actions are performed to improve the reliability of the system. Genetic algorithm is used to obtain the sequence of maintenance actions providing desired level of reliability with minimum system risk. Numeral results demonstrate effectiveness of the proposed model.

关键词： Condition based maintenance maintenance scheduling system reliability genetic algorithm

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