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International Conference on Information Systems and Computer Aided Education (ICISCAE)

作者： Wang Peiyi Pang Zhenjiang Liu Jiayi Yuan Yanfang Zhang Yanjie State Grid Key Laboratory of Power Industrial Chip Design and Analysis Technology Beijing Smart-Chip Microelectronics Technology Co. Ltd. Beijing China Beijing Engineering Research Center of High-reliability IC with Power Industrial Grade Beijing Smart-Chip Microelectronics Technology Co. Ltd. Beijing China State Grid Shanxi Marketing Service Center Taiyuan China

ISBN: (数字)9781728183046

ISBN: (纸本)9781728194608

Identity-Based Cryptograph (IBC) takes the user's identity (such as email address, mobile phone number, personal name, etc.) as the public key, which reduces the process of exchanging digital certificates and public keys, effectively reduces the complexity of key and certificate management in the public-key system, and makes the security system easy to deploy and manage. It is very suitable for end-to-end offline secure communication, cloud data encryption, attribute-based encryption, policy-based encryption of various occasions. In order to improve the safety level of end-to-end off-line safety communication in electric vehicle pile sharing application and reduce the system complexity, this paper proposes an identity authentication system solution based on identification algorithm.

关键词： Authentication Electric vehicles Public key cryptography Mobile handsets Encryption Safety Complexity theory

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Dynamic Response of a Cat Head Type transmission Tower-line System under Strong Wind

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Journal of Physics: Conference Series 2021年第1期1986卷

作者： Chuan Wu Xiaohui Yang Bo Zhang Zehui Liu Yang Zhao State Grid Henan Electric Power Research Institute & State Grid Key Laboratory of Power Transmission Line Galloping Prevention and Control Technology Zhengzhou 450052 China School of Advanced Manufacturing Engineering Chongqing University of Posts and Telecommunications Chongqing 400065 China

transmission tower plays important role in the power system and it is security sensitive in various working conditions, such as wind and ice. In this paper, a method to obtain the dynamic response of a cat head type transmission tower under strong fluctuating wind was proposed. The coupled tower-lines finite element model was established in ABAQUS, and the equivalent acceleration of fluctuating wind was simulated by MATLAB. Then the displacements and stresses time histories were obtained. The method introduced in this paper can be used to assess the safety of tower under different fluctuating wind with different directions and provide a reference of the tower in the design stage.

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Research on locating and sizing of concentrating solar power plant with electric heater 3

Research on locating and sizing of concentrating solar power...

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3rd IEEE International Conference on Energy Internet, ICEI 2019

作者： Yao, Shangrun Zhou, Ming Sha, Yun Liu, Siwei Liu, Jianqin Qi, Qingru State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources North China Electric Power University Beijing China Transmission Network Planning Center State Grid Economic Technology Research Institute Co. Ltd. Beijing China

ISBN: (纸本)9781728114934

As a new form of renewable energy generation, concentrating solar power (CSP) is more competitive owing to its generation stability and excellent dispatch-ability. As the Delingha project in Qinghai is successfully connected to the grid, the capacity of CSP will grow rapidly in the future, an effective method is essential to guide its planning. In this paper, the locating and sizing of CSP plant with electric heater (EH) is studied. Firstly, the data-driven K-means multi-scenario clustering method is used to characterize the uncertainty of wind power, photovoltaics and load. With the goal of achieving a trade-off between the total investment and benefits, a planning model based on the realistic operation situation is established. IEEE RTS-24 bus system is selected as an example for analysis and verification. The results show that the proposed method can lead to a tradeoff between economical profit and new energy consumption. Furthermore, the configuration of EH and the increase of TES capacity significantly reduce the energy curtailment. © 2019 IEEE.

关键词： Wind power

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Optimal Operation of Active Distribution Network Involving the Unbalance and Harmonic Compensation of Converter

Optimal Operation of Active Distribution Network Involving t...

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IEEE General Meeting power& Energy Society

作者： Jian Wang Niancheng Zhou Yunhao Ran Qianggang Wang State Key Laboratory of Power Transmission Equipment and System Security and New Technology Chongqing University Bishan State Grid Power Company State Grid of China

The massive accessing of unbalance and nonlinear loads to a power distribution network may cause serious problems on power quality and result in additional power loss and safety risks. Distributed generation (DG) with a converter interface has a flexible adjusting ability and can provide certain unbalance and harmonic compensations to power distribution networks. In this study, an optimal operation method of an active distribution network (ADN) involving the unbalance and harmonic compensation of a converter was proposed. First, the power regulating characteristics of DG were analyzed. Second, an optimization model was constructed to minimize ADN power loss, sum of harmonic voltage squares, and total unbalance of the negative sequence voltage, and multiple constraints, such as converters and network, were considered in the model. Third, the optimization model was transformed into a semidefinite programming model based on the characteristics of the nonconvex and nonlinear original model, thus assuring global convergence and decreasing difficulties in problem solving. Finally, the validity of the proposed algorithm was verified by using IEEE 33-node and 123-node test systems.

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A Reactive power Coordination Control Scheme for Hybrid Multi-Infeed HVDC System

A Reactive Power Coordination Control Scheme for Hybrid Mult...

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Sustainable power and Energy Conference (iSPEC)

作者： Jia Li Yongjun Xia Cai Yan Wei Yao Bing Yao Jinyu Wen State Key Laboratory of Advanced Electromagnetic Engineering and Technology Huazhong University of Science and Technology Wuhan China State Grid Hubei Electric Power Research Institute Wuhan China Hubei DC Transport and Inspection Company Yichang China

ISBN: (数字)9781728191645

ISBN: (纸本)9781728191652

This paper proposes a reactive power coordination control scheme between voltage source converter based HVDC (VSC-HVDC) system and filter switching of line commutated converter based HVDC (LCC-HVDC) system for a hybrid multi-infeed VSC/LCC HVDC system. The conventional reactive power control strategies of filter switching of LCC-HVDC system and VSC-HVDC system are analyzed, and the limitations of them are pointed out. To reduce the filter switching, a control module is designed for the coordination control scheme. A hybrid multi-infeed system model was built in PSCAD/EMTDC for simulation verification. The simulation results showed that the performance of the reactive power coordinated control is better than that of the reactive power independent control between VSC-HVDC system and LCC-HVDC system.

关键词： Reactive power Reactive power control HVDC transmission Switches Control systems Hybrid power systems power conversion

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Research on Feature Extraction Method of Converter Transformer Vibration Signal Based on Markov Transition Field

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IOP Conference Series: Earth and Environmental Science 2021年第1期647卷

作者： Pengfei Wang Gang Yu Huafeng Wu Zhanlong Zhang Rui Xiao Dali Bureau of EHV Power Transmission Company China Southern Power Grid State Key Laboratory of Transmission and Distribution Equipment and System Safety and New Technology Chongqing University

In view of the high complexity of the vibration signal of the converter transformer and the large amount of data, the construction of the feature extraction model of the converter transformer based on the vibration signal is difficult and the accuracy is not high. This paper proposes a feature extraction model of commutation vibratiob signals based on Markov transition field and residual convolutional neural network. This paper first divides the interval according to the signal amplitude and calculates its Markov transition field matrix, and then obtains the two-dimensional representation of the one-dimensional vibration signal by calculating the Markov transition field matrix through the transition matrix. Finally, the feature extraction of the vibration map is performed through the residual convolutional neural network. Analysis of the actual measured data at the converter station shows that the average working condition recognition accuracy of the model in this paper reaches 93.1%. It is better than classic time series processing networks such as long and short-term memory networks and one-dimensional convolutional neural networks. It solves the problem of difficulty in building and training long vector deep learning networks by constructing two-dimensional representations of one-dimensional vectors. It is based on commutation The research on fault detection methods of variable vibration signals provides the basis.

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A load management optimization strategy for smart distribution network considering Time-Of-Use electricity price and load control

A load management optimization strategy for smart distributi...

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2019 IEEE Sustainable power and Energy Conference, iSPEC 2019

作者： Xu, Weihan Ge, Leijiao Bai, Xingzhen Zhang, Shuai Liang, Yanhe Ge, Xianjun Shandong University of Science and Technology College of Electrical Engineering and Automation Qingdao China Tianjin University Key Laboratory of Ministry of Education of Smart Grid Tianjin China State Grid Heilongjiang Electric Power Company Electric Power Research Institute Harbin China Tsinghua University Beijing China

ISBN: (纸本)9781728149301

The Time-of-use electricity price can guide the users to use electricity orderly, and load control can quickly coordinate the peak-valley load difference of the smart distribution network. A load management optimization strategy for smart distribution network is proposed, which combines the time-of-use electricity price and the interruptible load control. Firstly, the characteristics of flexible load is analyzed. Secondly, the demand response model of smart distribution network is constructed, which considering time-of -use electricity price and direct load control, and the particle swarm algorithm is used to solve the model. Finally, a typical smart distribution network case verifies the superiority of the demand response strategy. © 2019 IEEE.

关键词： Particle swarm optimization (PSO)

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Stage-wise Weak Orthogonal Matching Pursuit Reconstruction of power System Disturbance Signal

Stage-wise Weak Orthogonal Matching Pursuit Reconstruction o...

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power and Electrical Engineering (ACPEE), 5th Asia Conference on

作者： Wenjun Cao Wei Xi Hao Yao Wei Chen School of Electrical and Electronic Engineering State Key Laboratory of Advanced Electromagnetic Engineering and Technology Huazhong University of Science and Technology Wuhan China Electric Power Research Institute of China Southern Power Grid Company Limited Guangzhou China

ISBN: (数字)9781728152813

ISBN: (纸本)9781728152820

Energy Internet has put forward higher requirements for the safety and stability of the power system. power system disturbance analysis is an important content of monitoring system operation. It was recently shown that the compressed sensing theory can be applied in power system disturbance signal to handle with mass data problem which was caused by the demand of high sampling rate in power system. In this paper, we extend this approach and propose a stage-wise weak orthogonal matching pursuit algorithm that greatly improves compression rate of disturbance signal and reduces the demand of transmission and storage. To this end, power system disturbance signals are represented by sparse vectors and projected by measurement matrix at first. The reconstruction algorithm uses weak selection of atoms to improve the reconstruction speed and cope with signals of different sparsity. Meanwhile, the threshold of selection is designed as the correlation function of atoms and residual, which reduces the requirement of measurement matrix and improves the reconstruction accuracy. Simulations on different kinds of power system disturbance signals show that this algorithm can improve compression ratio greatly with low error.

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LightGBM-Based Prediction of Remaining Useful Life for Electric Vehicle Battery under Driving Conditions

LightGBM-Based Prediction of Remaining Useful Life for Elect...

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Sustainable power and Energy Conference (iSPEC)

作者： Huiqiao Liu Qian Xiao Zhipeng Jiao Jinhao Meng Yunfei Mu Kai Hou Xiaodan Yu Shiqi Guo Hongjie Jia Zhonghuan Information College Tianjin University of Technology Tianjin China Key Laboratory of Smart Grid of Ministry of Education Tianjin University Tianjin China State Key Laboratory of Reliability and Intelligence of Electrical Equipment Hebei University of Technology Tianjin China College of Electrical Engineering Sichuan University Chengdu China State Grid Tianjin Binhai Electric Power Supply Company Tianjin China

ISBN: (数字)9781728191645

ISBN: (纸本)9781728191652

Remaining useful life (RUL) prediction for electric vehicle battery (EV battery) is of great significance for the early replacement and regular maintenance of batteries with potential safety hazards in driving conditions. This paper proposes a novel method based on light gradient boosting machine (LightGBM) to predict the RUL of the battery under driving conditions. LightGBM uses the histogram optimization strategy to reduce the number of traversal of the data sample set and improve the robustness of the method; the depth-first splitting (leaf-wise) strategy reduces the risk of overfitting; the gradient-based one-sided sampling strategy (GOSS), reduce the data dimension; use the exclusive feature bundling strategy (EFB) to reduce the feature dimension. However, the LightGBM method has the difficulty of parameter setting. Therefore, this paper uses Hyperopt based on distributed asynchronous algorithm configuration/hyperparameter optimization to optimize its complicated hyperparameters. Subsequently, the method was applied to the prediction of battery RUL under simulated driving conditions. Based on the comparative cases, the results show that this method can guarantee the rapidity, accuracy and robustness of RUL prediction under the condition of low memory usage.

关键词： Electric potential Maintenance engineering Electric vehicles Robustness Hazards Batteries Optimization

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Data-driven Optimal power Flow: A Physics-Informed Machine Learning Approach

arXiv

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arXiv 2020年

作者： Lei, Xingyu Yang, Zhifang Yu, Juan Zhao, Junbo Gao, Qian Yu, Hongxin State Key Laboratory of Power Transmission Equipment & System Security and New Technology Chongqing University Chongqing400030 China Department of Electrical and Computer Engineering Mississippi State University StarkvilleMS39762 United States State Grid Chongqing Electric Power Company Electric Power Research Institute Chongqing401123 China

This paper proposes a data-driven approach for optimal power flow (OPF) based on the stacked extreme learning machine (SELM) framework. SELM has a fast training speed and does not require the time-consuming parameter tuning process compared with the deep learning algorithms. However, the direct application of SELM for OPF is not tractable due to the complicated relationship between the system operating status and the OPF solutions. To this end, a data-driven OPF regression framework is developed that decomposes the OPF model features into three stages. This not only reduces the learning complexity but also helps correct the learning bias. A sample pre-classification strategy based on active constraint identification is also developed to achieve enhanced feature attractions. Numerical results carried out on IEEE and Polish benchmark systems demonstrate that the proposed method outperforms other alternatives. It is also shown that the proposed method can be easily extended to address different test systems by adjusting only a few hyperparameters. Copyright © 2020, The Authors. All rights reserved.

关键词： Acoustic generators

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