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检索条件"机构=State Key Lab of Control and Simulation of Power System and Generation Equipment"

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Circuit breaker arc fault detection based on fault recording data in HVDC converter station 15

Circuit breaker arc fault detection based on fault recording...

引用

15th International Conference on Developments in power system Protection, DPSP 2020

作者： Wang, Bin Dong, Xinzhou Yu, Bin Xie, Min Wang, Haigang State Key Lab of Control and Simulation of Power Systems and Generation Equipments Department of Electrical Engineering Tsinghua University Beijing10084 China Anhui Electric Power Company Dispatching Center Anhui Hefei230061 China

ISBN: (纸本)9781713827894

Arc fault occurs easily when circuit breakers (CB) cut the AC filters circuits in HVDC substation frequently. A transient arc model and online detection method are proposed in this paper. The proposed arc model is based on the conventional three stages arc model and Mayr arc model, the simulation results coincide with the actual recorded data well. and also, by utilizing the zero sequence arc current, the online arc detection method based on first order accumulation is introduced. simulation results and actual arc fault data proved the correctness and accuracy of proposed arc fault detection algorithm. © 2020 IET Conference Publications.

关键词： Electric circuit breakers

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The Correlation Mechanism that Micro-Structure Parameters of ZnO Varistor to the Macroscopic Electrical Characteristics 4

The Correlation Mechanism that Micro-Structure Parameters of...

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4th IEEE International Conference on Electrical Materials and power equipment, ICEMPE 2023

作者： Meng, Pengfei Guo, Jingke Zhao, Long Lu, Wenhao Liu, Zheng Li, Shan Zhou, Kai Hu, Jun Sichuan University College of Electrical Engineering Chengdu China State Grid Corporatio of China State Grid Linyi Power Supply Company Linyi China Extra High Voltage Power Transmission Company of Csg High Voltage Technology Department Guangzhou China Northwest Institute of Nuclear Technology State Key Laboratory of Intense Pulsed Radiatio Simulation and Effect Xi'an China Tsinghua University State Key Laboratory of Control and Simulation of Power System and Generation Equipment Beijing China

ISBN: (纸本)9798350334678

As the core part of metal oxide arresters, ZnO varistor plays an important part in suppressing the overvoltage of power systems. With the development of UHV technology, the residual voltage and energy capacity of ZnO varistors have put forward higher requirements. The research is carried out from the perspective of material calculation, studied the correlation mechanism between micro-structure parameters and various macroscopic electrical characteristics of ZnO varistor based on Voronoi network. And the microstructure parameters such as grain size and size inhomogeneity were calculated and studied. The study simplified the optimization problem with multiple variates and objectives, into the one with two categories of variates and two categories of objectives. And then proposed specific strategies. The research provides important theoretical basis for improving the performance of ZnO varistors, and witch is of great significance for the design and manufacture of high-performance lightning arresters. © 2023 IEEE.

关键词： Microstructure

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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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Analysis and Suppression of Subsynchronous Oscillation of RuDong Wind power Through MMC-HVDC system

Analysis and Suppression of Subsynchronous Oscillation of Ru...

引用

2021 Annual Meeting of CSEE Study Committee of HVDC and power Electronics, HVDC 2021

作者： Li, Jingyi Xie, Xiaorong Yang, Jianjun Li, Haozhi Shi, Zhaohui Wang, Ke Fu, Chunxiang Yang, Wenbin Key Laboratory of Far-shore Wind Power Technology of Zhejiang Province Huadong Engineering Corporation Limited Power China Zhejiang Province Hangzhou310014 China Dept. of Electrical Engineering Tsinghua University State Key Lab of Control and Simulation of Power Systems and Generation Equipment Haidian District Beijing100084 China

ISBN: (纸本)9781839537035

There may be complex interaction between the converter control systems of wind power and MMC-HVDC, which will lead to sub-/super-synchronous oscillation and threaten the safe and stable operation of the system. The relevant events have been reported in Guangdong Nan'ao, Shanghai Nanhui and Zhangbei projects. Rudong offshore wind power project is the first offshore wind power transmission system in China, and it is still under construction. Therefore, it is of great significance to carry out the research on the risk analysis and suppression measures of sub-synchronous oscillation in Rudong wind power MMC-HVDC system. First, the time-domain simulation model of Rudong wind power MMC-HVDC system is built in the PSCAD/EMTDC simulation model. Then, the effects of the number of wind turbine generators, wind power output and the parameters of MMC-HVDC controller on the sub-/supersynchronous oscillation characteristics of the system are further analyzed. Finally, the suppression measures based on supplementary frequency dependent gain control are proposed, the application position of the controller is discussed, and the parameter optimization method of the controller is given. The research content provides a certain guiding significance for the operation and control of Rudong wind power MMC-HVDC. © 2021 IET Conference Proceedings. All rights reserved.

关键词： Wind power

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Short-term prediction model of module temperature for photovoltaic power forcasting based on support vector machine

Short-term prediction model of module temperature for photov...

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International Conference on Renewable power generation, RPG 2015

作者： Sun, Yujing Wang, Fei Mi, Zengaiang Sun, Hongbin Liu, Chun Wang, Bo Lu, Jing Zhen, Zhao Li, Kangping State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources North China Electric Power University Baoding Hebei Province071003 China State Key Laboratory of Control and Simulation of Power Systems and Generation Equipment Department of Electrical Engineering Tsinghua University Haidian District Beijing100084 China China Electric Power Research Institute Haidian District Beijing100192 China

ISBN: (纸本)9781785610400

To improve the prediction accuracy of photovoltaic (PV) power generation, the temperature of PV modules and its prediction is very important. A short-term step-wise temperature prediction model for PV module based on Support Vector Machine (SVM) is proposed in this paper. Firstly, the primary impact factors of PV module temperature are determined in terms of the PV module physical characteristics and the correlation coefficient between each factor and module temperature. Secondly, two kinds of prediction models, direct and step-wise models, are built to predict module temperature respectively. For direct model, the prediction model is based on SVM using the historical data. For step-wise one, the prediction models of the primary impact factors are built at the first step and then the mapping models between module temperature and the impact factors are established. In the end, the deviations of two different kinds of prediction models are analyzed and discussed based on actual operation data. The results indicate that the stepwise prediction model has better accuracy than the direct prediction model if other things are equal.

关键词： Forecasting

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Capacitor Voltage Balancing Strategy Based on Zero-Sequence Voltage Injection for Half-Wave Commutated Modular Multilevel Converter 10

Capacitor Voltage Balancing Strategy Based on Zero-Sequence ...

引用

10th IEEE International power Electronics and Motion control Conference, IPEMC 2024 ECCE Asia

作者： Fu, Nan Liu, Bao Xu, Yunfei Zhu, Sitong Wang, Kui Li, Yongdong Tsinghua University State Key Laboratory of Control and Simulation of Power System and Generation Equipment Department of Electrical Engineering Beijing100084 China State Grid Smart Grid Research Institute Co. Ltd State Key Laboratory of Advanced Power Transmission Technology Changping Beijing China Electric Power Research Institute of State Grid Liaoning Electric Power Co. Ltd. Shenyang110000 China

ISBN: (纸本)9798350351330

Half-wave commutated modular multilevel converter (HWC-MMC) is suitable for high-voltage large-capacity AC-AC conversion, and an appropriate capacitor voltage balancing strategy is essential. This paper analyzes the condition of capacitor voltage balancing and proposes a capacitor voltage balancing strategy based on optimal zero-sequence voltage injection using the model predictive control. Finally, the simulation is carried out to verify the proposed strategy. © 2024 IEEE.

关键词： Model predictive control

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Photovoltaic plant Operating Statuses Identification model based on support vector machine using loss quantity of electricity feature parameters

Photovoltaic plant Operating Statuses Identification model b...

引用

International Conference on Renewable power generation, RPG 2015

作者： Li, Kangping Wang, Fei Zhen, Zhao Sun, Yujing Mi, Zengqiang Sun, Hongbin Liu, Chun Wang, Bo Lu, Jing State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources North China Electric Power University Baoding Hebei Province071003 China State Key Laboratory of Control and Simulation of Power Systems and Generation Equipment Department of Electrical Engineering Tsinghua University Haidian District Beijing100084 China China Electric Power Research Institute Haidian District Beijing100192 China

ISBN: (纸本)9781785610400

Operating Statuses Identification (OSI) can help operators to find fault timely and minimize the loss. So it is of great significance for optimal operation of photovoltaic (PV) plants. The loss quantity of electricity (LQOE) is defined as that should have been generated but actually not, which is caused by inverter fault, PV modules fault, dust stratification or combinations of them. Firstly, mathematical models of PV cells are proposed to figure out the LQOE of each PV module. Secondly, after analysing the relation between LQOE and operating statuses, an index set of LQOE describing the distinction of different operating statuses are defined including four statistical feature parameters and a user-defined index. Thirdly, Support Vector Classification models for OSI (OSI-SVC) are built with input features extracted from the index set. Lastly, simulations are carried out to verify the effectiveness and evaluate the performance of the OSI-SVC models. The results indicated that the operating statuses can be effectively recognized by the proposed model.

关键词： Support vector machines

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Cloud identification model for sky images based on Otsu

Cloud identification model for sky images based on Otsu

引用

International Conference on Renewable power generation, RPG 2015

作者： Li, Hongping Wang, Fei Ren, Hui Sun, Hongbin Liu, Chun Wang, Bo Lu, Jing Zhen, Zhao State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources North China Electric Power University Baoding Hebei Province071003 China State Key Laboratory of Control and Simulation of Power Systems and Generation Equipment Department of Electrical Engineering Tsinghua University Haidian District Beijing100084 China China Electric Power Research Institute Haidian District Beijing100192 China

ISBN: (纸本)9781785610400

Irradiance changes caused by clouds movement are the mam factors, which lead to mutation of photovoltaic power. In order to increase the accuracy of the ultra-short-term photovoltaic power prediction, based on of clouds images, the cloud identification for sky images is one of the primary aspects for improving photovoltaic power accuracy. A cloud identification model for sky images is established based on Otsu. Firstly, a series of sky images are collected by Total Sky Imager (TSI) with the regions of clouds and sky are distinguished. Secondly, the color features (based on RGB values) of pixels in sample images and the spectral and texture features of the whole image are extracted;Finally, we established a cloud identification model for sky images based on Otsu according to the clouds' and sky areas' division and the general characteristics featured by pixels and images. The simulated results show that the model in this paper can identify the clouds in a sky images effectively.

关键词： Pixels

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The parameter design method of smoothing inductance based on MMC-MTDC with R-type superconducting fault current limiter 16

The parameter design method of smoothing inductance based on...

引用

16th IET International Conference on AC and DC power Transmission, ACDC 2020

作者： Guo, Peiqian Yuan, Zhichang Liu, Guowei Zhao, Yuming Shi, Zinan State Key Laboratory of Control and Simulation of Power Systems and Generation Equipment Department of Electrical Engineering Tsinghua University Beijing China Shenzhen Power Supply Corporation Shenzhen China Sichuan Energy Internet Research Institute Tsinghua University Chengdu China

ISBN: (纸本)9781839533914

The rapid increase of voltage sourced converter brings the great development of the multi-terminal DC technology, both in the DC transmission and DC distribution fields. However, because of the weak impedance characteristic of the VSC-HVDC system, how to suppress and clear DC fault currents becomes a challenge. Considering the stability, the response speed and the system structure, it is not possible to apply excessive inductance at the DC side, hence, the current limiting effectiveness is relatively restricted. On the one hand, with the effective properties, Resistive type Superconducting Fault Current Limiter (R-SFCL) becomes an effective device to solve the problem of VSC-HVDC system under DC faults. On the other hand, because of dynamic energy-impedance characteristics of R-SFCL, the fixed impedance selection method at a certain time to carry out dynamic current limiting analysis is no longer applicable. Therefore, the DC fault current research and R-SFCL characteristic are comprehensively analyzed firstly in this paper. Based on that, a smoothing inductance determination method is proposed to cut off the DC fault current by DC breaker and ensure the continuous operation of remaining parts. Finally, based on a multi-terminal DC system simulation, the improvement and effectiveness of the proposed method are validated. © 2020 Institution of Engineering and Technology. All rights reserved.

关键词： Inductance

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Stability analysis of wide-area damping control system with stochastic communication time delay

Stability analysis of wide-area damping control system with ...

引用

Innovative Smart Grid Technologies (ISGT)

作者： Xinran Zhang Chao Lu Yingduo Han State Key Laboratory of Control and Simulation of Power System and Generation Equipments Tsinghua University Beijing

ISBN: (纸本)9781479917860

Stochastic time delay is a new challenge brought out by communication network in wide-area damping control system. Uncertainty introduced by stochastic time delay increases the difficulty of modeling and stability analysis. In this paper, a new approach of stability analysis through expectation model is proposed to solve the problem of uncertainty in wide-area controlled power systems considering the effect of stochastic time delay. In the proposed method, expectation model considering detailed stochastic time delay distribution is derived to accurately model the impact of communication network on wide-area control performance. Then, through matrix transformation of expectation model, eigenvalue of wide-area damping control system considering time delay can be calculated, which can be used for analyzing the system stability. Finally, the effectiveness of this method is verified through the simulation of a power system with 8 generators and 36 nodes with different types of time delay distribution.

关键词： Delay effects power system stability Stability analysis Eigenvalues and eigenfunctions Stochastic processes Damping Analytical models

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