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7th International Forum on Electrical Engineering and Automation, IFEEA 2020

作者： Han, Bo Liu, Shiming Nan, Tianqi Key Laboratory of Intelligent Power Dispatching and Control of Ministry of Education Shandong University Jinan China

ISBN: (纸本)9781728196275

Problems related to DC bias of HVDC transmission affect the reliability of transformer differential protection. By expressing the newly defined 'pseudo-flux characteristic' in terms of exponential function, a new method is proposed to discriminate fault under DC bias. Pseudo-flux characteristics are obtained through inrush current, the parameters of which are determined by differential evolution algorithm (DE). The test of the pseudo-flux characteristics acquisition method is completed on the single-phase transformer in the laboratory. The method of acquiring pseudo-flux characteristics is simple and has high accuracy in the saturation interval. In addition, a simulation of DC bias magnetism was built in PSCAD, and the magnetic flux characteristics of inrush current, DC bias and faults were compared. It illustrates the feasibility of using the transformer pseudo-flux characteristic model to protect in such scenarios and the superiority compared with the second harmonic restraint method. © 2020 IEEE.

关键词： Exponential functions

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Line Pilot Protection for DFIG Wind Farm Transmission Lines Based on Wasserstein Distance

Line Pilot Protection for DFIG Wind Farm Transmission Lines ...

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

作者： Ziyuan Zhao Guibin Zou Shuo Zhang Xiangyu Lin Xuanren Meng School of Electrical Engineering Shandong University Jinan China Guangxi Key Laboratory of Intelligent Control and Maintenance of Power Equipment Electric Power Research Institute of Guangxi Power Grid Co. Ltd Nanning China

When faults occur in the transmission lines of wind farms, the fault characteristics on the wind farm side exhibit significant differences from those on the AC grid side due to the control actions of the doubly-fed induction generator (DFIG) converters and crowbar protection. This leads to a substantial deterioration in the effectiveness of conventional protection methods relying on power frequency parameters, and even giving rise to occurrences of erroneous tripping. To address this issue, a pilot protection scheme based on the Wasserstein distance is proposed, taking advantage of the waveform shape differences of fault currents on both sides of the transmission lines. Extensive simulation analysis reveals that the proposed pilot protection scheme, based on the Wasserstein distance, remains unaffected by the fault location, fault type, and transitional resistance at the fault point. It reliably operates in various fault scenarios and offers a high level of sensitivity.

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New Automatic Reclosing Scheme on Substation Lines for Renewable Energy Source Access

New Automatic Reclosing Scheme on Substation Lines for Renew...

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power and Energy Engineering (ICPEE), International Conference on

作者： Qiu Yutao Qian Zhengxu Pan Wulue Wang Song Xu Feng Zhang Zanzan Wen Minghao State Grid Zhejiang Power Dispatching Control Center Hangzhou China State Grid Zhejiang Electric Power Co. Ltd. Research Institute Hangzhou China State Key Laboratory of Advanced Electromagnetic Engineering and Technology Huazhong University of Science and Technology Wuhan China

In order to avoid the adverse effects of the access of renewable energy sources on automatic reclosing, reclosing is usually done by cutting out renewable energy power supply after the fault occurs and extending the reclosing setting time. But this will lead to the interruption of power supply to a large number of local loads, which is not conducive to the efficient use of renewable energy sources. In this paper, a new reclosing method for substation lines with inverter-type renewable energy source access is proposed. This method can keep the inverter-type renewable energy source running continuously during reclosing, and ensure the continuity of power supply of important loads. Firstly, it is pointed out that the control strategy of renewable energy source must be switched during reclosing, to make it have the basic island operation capability. Then, to maintain the power balance between renewable energy source and load, the method of using load shedding cooperating with unloading resistors during reclosing is proposed. Finally, the reclosing operation will be performed when the synchronization conditions are met. And simulation under different working conditions is carried out on PSCAD/EMTDC platform, which verified the feasibility of the proposed reclosing strategy.

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Research on Prediction and Identification Method of Latent Fault Characteristic Gas in High Voltage Switchgear Based on Neural Network

Research on Prediction and Identification Method of Latent F...

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Advances in Electrical Engineering and Computer Applications( AEECA), 2020 IEEE International Conference on

作者： Fangyuan Han Min Yu Bin Tang Qinqin Liang Zongchang Luo Longfei Zhang Chuansheng Luo Mengzhu Hu Jialin Wang Liping Zhu Guangxi Key Laboratory of Intelligent Control and Maintenance of Power Equipment Electric Power Research Institute of Guangxi Power Grid Co. Ltd Nanning Guangxi China Nanning Power Supply Bureau of Guangxi Power Grid Co. Ltd Nanning Guangxi China Guangxi Power Grid Co. Ltd Nanning Guangxi China

With the development of uHV projects in China, the construction scale of power grid is gradually increasing. High voltage switchgear has been widely used in substations and power industry, which has gradually become a key part of the power system. In order to effectively identify the latent fault in the switchgear, a latent fault test model based on machine learning is designed. Get training samples to establish a BP neural network with machine learning ability, and the network is optimized through genetic algorithm to establish the mapping relationship between the characteristic gas and the latent fault in the switchgear. The test results show that the optimized network can accurately identify the potential faults in the switchgear, which plays a very important role in improving the safe operation level of the high-voltage switchgear.

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Research on Dead-Time Compensation Method for Low Voltage Delta Connected Induction Motor 1

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17th Annual Conference of China Electrotechnical Society, CES 2022

作者： Yong, Tao Liu, Jing Liu, Yechun Tang, Mengyang Qiao, Hui Miao, Yiru Key Laboratory of Smart Grid and Intelligent Control of Nanchong Southwest Petroleum University Nanchong637001 China State Grid Jiangsu Electric Power Co. LTD. Extra-High Voltage Branch Company Nanjing211002 China College of Electrical and Information Engineering in Hunan University Changsha410082 China The Sixth Design Institute of Machinery Industry Co. Ltd. Zhengzhou450007 China

ISBN: (数字)9789819904082

ISBN: (纸本)9789819904075

Low voltage as 48 V and large power induction motor will be largely used in hybrid and pure electric vehicle (EV) because of its very high safety. But the winding cables are so thick that assembly of neutral point is very inconvenient and delta connection has to be applied. However, some new problems such as loop current, harmonics, dead-time arise with delta connection. Aiming at the dead-time problem of this induction motor, the characteristics of dead time effect were analyzed in detail, and the two phases average voltage compensation method was derived. Analysis indicate that voltage error caused by snubber circuit under small current leads to the current to be clamped in the vicinity of zero, and presents a compensation method for this error. The earlier crossing zero compensation and a simple method to determine the direction of current are presented to solve zero current clamping effect and the complicate algorithms are avoided. The simulation and experiment results verify the validity and feasibility of these methods. © 2023, Beijing Paike Culture Commu. Co., Ltd.

关键词： Induction motors

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Economic dispatch of power system based on neural network algorithm

Economic dispatch of power system based on neural network al...

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Information Technology,Big Data and Artificial Intelligence (ICIBA), International Conference on IEEE International Conference on

作者： Cheng Zhu Xiong Wan Wei Gu Fulin Li Jiantao Liu Kaifeng Zhang Kun Yuan Key Laboratory of Measurement and Control of CSE Southeast University Nanjing China National Electric Power Dispatching and Control Center of State Grid Corporation of China Beijing China State Grid Zhejiang Electric Power Company Hangzhou China State Grid Zhejiang Electric Power Co. Ltd. Jinhua Power Supply Company Jinhua China China Electric Power Research Institute (Nanjing) Nanjing China

In order to improve the absorption of new energy and quickly solve the economic dispatching problem of the power system, this paper uses neural network algorithm to build a neural network model framework to solve the unit power generation plan, cluster the load forecasting data and photovoltaic power generation data, use the improved six-node system to construct a data set, train the neural network algorithm, and finally verify the accuracy of the algorithm, providing a basis for the framework requirements in the actual project.

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The 110kV Live-Maintaining Robot control System Design for Substation Equipment in Complex Working Conditions 42

The 110kV Live-Maintaining Robot Control System Design for S...

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42nd Chinese control Conference, CCC 2023

作者： Hu, Chenyu Chen, Xin Li, Chengyu Huang, Guangxian Zhou, Cheng Jian, Xu School of Automation China University of Geosciences Wuhan430074 China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan430074 China School of Future Technology China University of Geosciences Wuhan430074 China State Grid Hubei Electric Power Co. Ltd. Xianning Power Supply Company Distribution Department Xianning437000 China State Grid Hubei Electric Power Co. Ltd Operations and Maintenance Department Xianning xian'An District Power Supply Company Xianning437000 China Equipment Technology Center State Grid Hubei Electric Power Co. Ltd. Electric Power Science Research Institute Wuhan430077 China Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education Wuhan430074 China

ISBN: (纸本)9789887581543

Live-maintaining work is essential for continuous power supply to the substation. To improve the safety and efficiency of live-maintaining work, this paper proposes an equipotential live-maintaining robot system suitable for 110kV voltage levels. Considering the narrow space, complex working conditions and strong electromagnetic interference in substations, binocular vision technology, manipulator trajectory planning algorithm based on time-energy optimization, high voltage electromagnetic shielding technology are utilized to develop the system, and the live-maintaining robot is successfully applied in actual substation. By accurately identifying and locating the joint bolts and insulator, the robot system can achieve equipotential live-disassemble, live-assemble the joint bolts within 18 minutes and live-clean insulator within 5 minutes, demonstrating its the effectiveness and practicability. © 2023 Technical Committee on control Theory, Chinese Association of Automation.

关键词： Electromagnetic pulse

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Method for Identifying Symmetrical Inrush Current of UHV Converter Transformer Based on Matrix Pencil 7

Method for Identifying Symmetrical Inrush Current of UHV Con...

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7th International Forum on Electrical Engineering and Automation, IFEEA 2020

作者： Nan, TianQi Liu, Shiming Han, Bo Sun, YunYun Key Laboratory of Intelligent Power Dispatching and Control of Ministry of Education Shandong University Jinan China

ISBN: (纸本)9781728196275

UHV converters are equipped with large-difference protection and small-difference protection. When transformer is switched on under no load condition. The differential current of the large-difference protection is symmetrical magnetizing inrush current, and the second harmonic content of this inrush current is low, which makes the large-difference protection easy to malfunction. Because the symmetrical inrush current is not easy to identify from the waveform, but the matrix pencil can identify the amplitude and decay time constant of each harmonic component of the signal, this feature of the matrix pencil can distinguish fault current, inrush current and symmetric inrush current. In this paper, the formation mechanism of symmetrical inrush current is analyzed, and a UHV converter station model is established. The simulation test results verify the effectiveness of the matrix pencil method. © 2020 IEEE.

关键词： power converters

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Intrusion Detection of Integrated Energy System Based on Whitening PCA

Intrusion Detection of Integrated Energy System Based on Whi...

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power Science and Technology (ICPST), IEEE International Conference on

作者： Yi Xia Hongxia Ma Xijuan Yu Yanhua Wu Xunfa Yang Liang Xue Hong Zhu Peiqing Zhang State Grid Gansu Electric Power Company Linxia Power Supply Company Linxia China Key Laboratory of Optoelectronic Technology and Intelligent Control of Ministry of Education Lanzhou Jiaotong University Lanzhou China

Due to the diversity of intelligent measuring equipment and the risk of subsystem communication, the integrated energy system is vulnerable to network attacks. Aiming at the security problem of integrated energy system, an intrusion detection method based on whitening PCA is proposed in this paper,based on the analysis of the structure of the integrated energy system and the characteristics of the integrated energy information physical system. Firstly, the dataset is preprocessed based on the normalization method, using whitening algorithm and PCA algorithm to extract the features and reduce the dimension of the *** principal component value is obtained after data dimensionality reduction. Then support vector machine is used to classify and train the dimensionality reduction data *** classification decision function is obtained for *** the analysis of numerical example, the effectiveness is verified of the proposed method in intrusion *** detection rate is higher and the detection time is shorter.

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Optimal operation of multi-micro energy grids under distribution network in Southwest China

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APPLIED ENERGY 2022年 309卷 118461-118461页

作者： An, Su Wang, Honglei Leng, Xiaoxia Univ Guizhou Dept Management Guiyang 550025 Peoples R China Guizhou Power Grid Co Ltd Power Dispatching Control Ctr Guiyang 550001 Peoples R China Key Lab Internet Collaborat Intelligent Mfg Guiyang 550025 Peoples R China

The rapid growth of distributed photovoltaic and wind power installed capacity in Southwest China has reduced the operation safety margin of the power grid. power grid dispatchers face the dilemma of ensuring security of the power grid and the output curtailment of renewable energy. To achieve the full consumption of renewable energy, it is an effective way to make use of the space-time complementary characteristics of different energies by forming micro energy grids. By connecting to the distribution network, the energy among the micro energy grids can be transferred and distributed in the form of electricity. Therefore, this study builds collaborative operation optimisation models of distribution networks with multi-micro energy grids and proposes an adaptive dynamic real-time optimisation algorithm based on pre-training and online deep learning techniques for the joint system. A test system was constructed based on the actual equipment parameters and data from the Guizhou power grid. Through the calculation and simulation in the test system, the overload of the distribution network equipment and the network loss were effectively reduced while ensuring the full consumption of wind and photovoltaic power. In addition, the accuracy and effectiveness of the model and algorithm were verified. The results obtained in the case studies suggest that the method proposed in this paper can be applied to southwest China and similar regions.

关键词： Micro energy grid Online deep learning Adaptive dynamic optimization

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