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IEEE Conference on Energy Internet and Energy system Integration (EI2)

作者： Lifan Mao Dongxu Chang Ruicai Liu Yihua Zhu Hengdao Guo MingKang Wu Power Dispatching and Control Center Hainan Power Grid Co.Ltd Haikou China State Key Laboratory of HVDC Electric Power Research Institute China Southern Power Grid Guangzhou China Guangdong Provincial Key Laboratory of Intelligent Operation and Control for New Energy Power System Guangzhou China CSG Key Laboratory for Power System Simulation Electric Power Research Institute China Southern Power Grid Guangzhou China

ISBN: (数字)9781728196060

ISBN: (纸本)9781728196077

In order to study the action characteristics of wide area out-of-step system in CSG, the real-time simulation study based on RTDS is carried out. In this paper, a test system based on the actual devices and the settings are constructed, and the modeling methods of the important measurement such as the power angle of tie line, Ucos φ oscillation curve and the voltage at the installation point of device are studied. The operation characteristics of wide area out-of-step system are fully verified by several serious single or multiple fault cases. The analysis of the simulation results shows that the wide area out-of-step system can meet the design requirements of splitting speediness, simultaneity and selectivity, and can solve the problems of late splitting in the south channel of Guangdong and Guangxi section, as well as the problem that the system cannot recover stability after splitting Guangdong and Guangxi, Guizhou and Guangxi section simultaneously.

关键词： Voltage measurement Stability criteria power system stability Real-time systems Data models Transient analysis Oscillators

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Wind farm active voltage regulation strategy of transient support improvement 8

Wind farm active voltage regulation strategy of transient su...

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8th Renewable power Generation Conference, RPG 2019

作者： Yang, Cui Peng, Song Xuekun, Cheng Ying, Qiao Xiaosheng, Wang Jingbo, Liu State Grid Jibei Electric Power Co.Ltd. Research Institute North China Electric Power Research Institute Co. Ltd. Xicheng District Beijing China Grid-connected Operation Technology Wind-Solar-Storage Hybrid System State Grid Corporation Key Laboratory Xicheng District Beijing China State Key Lab of Control and Simulation of Power Systems and Generation Equipment Dept. of Electrical Engineering Tsinghua University Haidian District Beijing China

ISBN: (纸本)9781839531255

The cumulative installed capacity of wind power worldwide has grown rapidly in recent years. Fixed reactive power control is adopted by wind turbines (WTs) to receive cycle instruction of wind farm (WF) automatic voltage control system (AVCS). It does not have active voltage regulation (AVR) capability, which reduces the reliability of power system operation. Firstly, two ways of WTs AVR which QV droop control and Vac control mode are introduced in this paper. On the basis, the problems of reactive power circulation and control points inconsistency during multiWTs voltage regulation are discussed. The problems are solved by coordination of WTs of WF AVR strategy. WF voltage transient support capability is promoted by the strategy. Effectiveness is verified by simulation case of the proposed method. © 2019 Institution of Engineering and Technology. All rights reserved.

关键词： Reactive power

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Algorithm of DFT Phasor Measurement based on Frequency Tracking 2

Algorithm of DFT Phasor Measurement based on Frequency Track...

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2nd IEEE International Electrical and Energy Conference, CIEEC 2018

作者： Guo, Hehong Yan, Xiaohong Guo, Zun Zhao, Qingsheng Zhang, Jie Wang, Xuping Lvliang Electric Power Company Lvliang033000 China School of Electrical and Electronic Engineering North China Electric Power University Beijing102206 China Shanxi Key Laboratory of Power System Operation and Control College of Electrical and Power Engineering Taiyuan University of Technology Taiyuan030024 China

ISBN: (纸本)9781538653913

In the case of power signal frequency deviation, traditional discrete Fourier transform (discrete Fourier transformation, DFT) is used to realize synchronous phasor measurement, which will cause fence effect and spectrum leakage, and seriously reduce the accuracy of the calculation. For this reason, an improved modified DFT algorithm for phasor measurement is proposed in this paper. Firstly, the frequency tracking algorithm is introduced, which is used to calculate fundamental frequency. Then the DFT error mechanism in the non-synchronous sampling is analyzed. The functional relation between the amplitude and phase errors and frequency deviation is obtained. A method of reducing spectrum leakage is proposed and the amplitude and phase errors expressions are improved. Finally the performance of the algorithm is tested by different signal models and actual data. The simulation results show that the proposed algorithm meets the accuracy requirements of synchronized phasor measurement. © 2018 IEEE.

关键词： Phasor measurement units

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Wind farm active voltage regulation strategy of transient support improvement

Wind farm active voltage regulation strategy of transient su...

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8th Renewable power Generation Conference (RPG 2019)

作者： Cui Yang Song Peng Cheng Xuekun Qiao Ying Wang Xiaosheng Liu Jingbo State Grid Jibei Electric Power Co. Ltd. Research Institute North China Electric Power Research Institute Co. Ltd. Xicheng District Beijing China Grid-connected Operation Technology For Wind-Solar-Storage Hybrid System State Grid Corporation Key Laboratory Xicheng District Beijing China State Key Lab of Control and Simulation of Power Systems and Generation Equipment Dept. of Electrical Engineering Tsinghua University Haidian District Beijing China

ISBN: (数字)9781839531248

ISBN: (纸本)9781839531255

The cumulative installed capacity of wind power worldwide has grown rapidly in recent years. Fixed reactive power control is adopted by wind turbines (WTs) to receive cycle instruction of wind farm (WF) automatic voltage control system (AVCS). It does not have active voltage regulation (AVR) capability, which reduces the reliability of power system operation. Firstly, two ways of WTs AVR which QV droop control and Vac control mode are introduced in this paper. On the basis, the problems of reactive power circulation and control points inconsistency during multi-WTs voltage regulation are discussed. The problems are solved by coordination of WTs of WF AVR strategy. WF voltage transient support capability is promoted by the strategy. Effectiveness is verified by simulation case of the proposed method.

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Design and Its Application of power Time Synchronization Management system Based on TMU and IEC61850 Protocol

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IOP Conference Series: Earth and Environmental Science 2019年第3期252卷

作者： Shengchao Yan Jing Yang Jin Li Nari Group Corporation / State Grid Electric Power Research Institute Nanjing 210003 China Dept. System Operation / Dispatch Control Center China Southern Power Grid Company Limited Guangzhou China

By deploying the TMU device at stations and power plants, the time synchronization measurement of the station clock device and secondary device are performed. The automatic discovery of the device status and the real-time upload of the time difference data are realized based on the IEC61850 protocol. The time synchronization network configuration, alarm and performance datas are unified maintained, managed and monitored, to enhance the plant station time synchronization precision control ability, which has a good operability, scalability and compatibility.

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Vulnerability analysis for open phase condition in electric power system of Korea's nuclear power generating station

Vulnerability analysis for open phase condition in electric ...

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International Conference on Circuits, system and Simulation (ICCSS)

作者： Soon-Hyun Hwang Bal-Ho H. Kim Geun-Joon Lee Jae-Won Lee Hong-Seok Jang Sang-Houn Joung Power Economics Lab Hongik University Seoul Republic of Korea Electrical Engineering Dept Chungbuk Provincial College Okchon Republic of Korea Electric Power Network Economics Lab Seoul National University Seoul Republic of Korea Control & Electrical System Korea Institute of Nuclear Safety (KINS) Daejeon Republic of Korea

ISBN: (纸本)9781538603932

Open Phase Condition (OPC) on nuclear power system has been reported from various countries of the world, so it is necessary to analyze the design suitability of protection system for OPC in Korean nuclear plant also. In this thesis, the OPC for Korean new nuclear plants is conspired using Electrical power system Analysis & operation Software (ETAP) and the operation possibility of protecting relay for each case is analyzed.

关键词： power transformer insulation power generation Relays Transformer cores Windings Circuit faults

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Fault Line Identification of Single Line to Ground Fault for Non-Effectively Grounded Distribution Networks with Double-Circuit Lines

Fault Line Identification of Single Line to Ground Fault for...

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IEEE power and Energy Society General Meeting

作者： Bo Jiang Xinzhou Dong Shenxing Shi Bin Wang State Key Lab. Of Control and Simulation of Power System and Generation Equipment Dept. of Electrical Engineering Tsinghua University Beijing 100084 China

ISBN: (纸本)9781467380416

Single Line to Ground (SLG) faults in non-effectively grounded networks are difficult to detect. Immune to neutral point grounding type, load conditions and system operation conditions, traveling-wave based method is an effective fault line identification method. However, due to the strong coupling between the double-circuit lines, the wavefront magnitude of them are the same, and the polarity of them are opposite. Thus, the mal-identification will be resulted under such condition. This paper analyzed the traveling wave characteristics of double-circuit lines, and proposed an improved fault line identification method based on the initial process of zero sequence currents and voltage traveling waves. Tests show that, the proposed method has high effectiveness in fault line identification of double-circuit lines in distribution networks.

关键词： distribution networks double-circuit fault line identification non-effectively grounded traveling wave Double circuit power grids line down Earth faults traveling waves single line

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Partial discharge classification using principal component analysis combined with self-organizing map

Partial discharge classification using principal component a...

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IEEE Region 10 International Conference TENCON

作者： Norasage Pattanadech Phethai Nimsanong Electrical Engineering Dept King Mongkut's Institute of Technology Ladkrabang Bangkok Thailand Power System Operation and Control Section Power System Control Dept Metropolitan Electricity Authority Bangkok Thailand

This document proposes a statistical classification model using principal component analysis (PCA) for a data reduction approach combined with self-organizing map (SOM) for a classification purpose, so called, PCA-SOM model compared with SOM model to classify partial discharge pattern (PD) into four categories listed as corona at high voltage side, corona at low voltage side, surface discharge, and internal discharge. PD signals were investigated by using ultra high frequency (UHF) measurement technique. 12 independent parameters, skewness and kurtosis of each period of the measured electromagnetic signal, were calculated. 80 experiments in total were performed. PCA-SOM PD classification model was constructed. Then, 60% of the experimented data was used as a training data for the PD classification model. Another 40% experimented data was utilized to evaluate the performance of the designed PD classification model. Besides, noise signals were generated with a computer program and trained into the PD classification model as well. The peak of noise signal was set up at 10%, 20% and 30% of the peak value of the PD signal. These noise signals were added with the PD signals to generate a mixed noise - PD signal. Then, the mixed noise - PD signals were used to evaluate the performance of the PD classification models. It was found that the designed SOM model and PCA-SOM model can predict PD patterns without noise signal with the accuracy 100% of classification. The prediction ability of SOM for PD classification models decreased sharply when this model was tested by the mixed-PD signals with the noise level of 30% of the peak value of the PD signal. Whereas the PCA-SOM provided some degree accuracy reducing for PD pattern classification when it was verified with such data.

关键词： Partial discharges Noise Discharges (electric) Corona Mathematical model Data models Vectors

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Partial discharge classification using learning vector quantization network model

Partial discharge classification using learning vector quant...

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IEEE Region 10 International Conference TENCON

This paper represents a partial discharge (PD) classification technique by using learning vector quantization (LVQ) network model. LVQ model was not only implemented with the PD test data but also combined with the principal component analysis (PCA), so called, PCA-LVQ for a data reduction. In this research work, both LVQ model and PCA-LVQ model were investigated. PD phenomena, corona at high voltage side in air (CHV), corona at low voltage side in air (CLV), surface discharge (SF), and internal discharge (IN) were simulated in the shielding room. Electromagnetic wave due to PD phenomena was detected using a log-periodic antenna and recorded employing a spectrum analyzer. 80 experiments in total were performed for CHV, CLV, SF and IN. The original independent variables for each classification model, skewness and kurtosis of each period of the captured signals, were calculated. Then, 60% of the experimented data was used as a training data for the PD classification models. Another 40% experimented data was used to evaluate the performance of the designed PD classification models both LVQ and PCA-LVQ models. Besides, noise signals were generated with computer program for testing the efficiency of these models. The peak of noise signal was set up at 10%, 20% and 30% of the peak value of the PD signal. These noise signals were added with the PD signals to generated a mixed noise - PD signal. Then, the mixed noise - PD signals were used to evaluate the performance of the PD classification models. It was found that the designed LVQ model can predict PD patterns without noise signal with the accuracy 100% whereas the PCA-LVQ model provided more than 87.5% accuracy of PD classification. The prediction ability of LVQ PD classification models decreased sharply especially for CHV when this model was tested by the mixed noise-PD signals. Whereas the prediction accuracy of PCA-LVQ model was more robust to the noise signals than LVQ model.

关键词： Partial discharges Mathematical model Noise Discharges (electric) Predictive models Data models Corona

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Effect of training methods on the accuracy of PCA-KNN partial discharge classification model

Effect of training methods on the accuracy of PCA-KNN partia...

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IEEE Region 10 International Conference TENCON

作者： Norasage Pattanadech Phethai Nimsanong Electrical Engineering Dept King Mongkut's Institute of Technology Ladkrabang Bangkok Thailand Power System Operation and Control Section 2 Metropolitan Electricity Authority Bangkok Thailand

The aim of this paper is to describe the effect of training methods on the accuracy of PCA-KNN partial discharge (PD) classification model. This model used principal component analysis (PCA) combined with k-nearest neighbor (KNN) model, so called, PCA-KNN PD classification model for PD pattern classification. PD phenomena, corona at high voltage side in air (CHV), corona at low voltage side in air (CLV), surface discharge (SF), and internal discharge (IN) were experimented in the shielding room. Electromagnetic wave due to PD phenomena was detected using a log-periodic antenna and recorded employing a spectrum analyzer. 80 PD experiments in total were performed. The original independent variables for the classification model, skewness and kurtosis of each period of the captured signals, were calculated. To study the effect of training methods: two patterns for data training, odd/even and block training methods were investigated. In case of the block training method, the effect of training data number can be examined as well. Besides, noise signals were generated with the computer program and trained into the PD classification models. The peak of noise signal was set up at 30% of the peak value of the PD signal. These noise signals were added with the PD signals to generated a mixed noise - PD signal. Then, the mixed noise - PD signals were used to evaluate the performance of the PCA-KNN PD classification model. It was found that the block data training method provided the higher accuracy PD classification compared with the odd/event data training method. The block training method with 80% training data/20% testing data gave the highest accuracy (95% correction) for PD classification without noise signal. However, this training technique provided the lowest accuracy (56.25% correction) for PD classification with the mixed noise-PD signals.

关键词： Partial discharges Training Noise Accuracy Discharges (electric) Training data Testing

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