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检索条件"机构=Laboratory of Smart Grid Protection and Control"

共 374 条记录，以下是71-80 订阅

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Design and control Method of Power Conversion System for Emergency Power Supply 6

Design and Control Method of Power Conversion System for Eme...

引用

6th IEEE Information Technology and Mechatronics Engineering Conference, ITOEC 2022

作者： Chen, Jinyu Li, Zhicheng Fan, Yuanliang Li, Chao State Grid Fujian Electric Power Research Institute Fuzhou350007 China Fujian Key Laboratory of Protection and Operation Control for Smart Grid Fuzhou350007 China

ISBN: (纸本)9781665431859

Power conversion system is the key equipment to realize two-way energy transfer between energy storage battery and AC power grid. This paper introduces a design and control method of power conversion system for emergency power supply. The power conversion system can select grid connected operation or independent on load operation to meet the multi scenario application requirements of emergency power supply site. During grid connected operation, the input power is controlled by controlling the input current, and then the output voltage at the DC side is controlled. During independent load operation, the load voltage and frequency are controlled by controlling the output voltage amplitude and frequency of the converter. The proposed constant voltage current limiting control strategy can maintain the DC bus voltage near the reference value and improve the reliability of battery charge and discharge. © 2022 IEEE.

关键词： Electric power supplies to apparatus

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Short-term operation planning of power grid flexibility regulation under uncertain risk scenario

Short-term operation planning of power grid flexibility regu...

引用

2021 IEEE Sustainable Power and Energy Conference, iSPEC 2021

作者： Xie, Dongliang Wang, Cai Xue, Yusheng Lai, Yening Zhang, Zheng Cai, Linjun Song, Xiaofang Zhang, Huilin Yu, Chen State Key Laboratory of Smart Grid Protection and Control Nanjing China

ISBN: (纸本)9781665414395

Traditional power grids for volatility, uncertainty, usually set a pro rata sufficient spare margin, but when the new energy grid capacity increases, if the volatility is so great, this 'one size fits all' decision is often expensive, too high thermal power start-up and even result in waste of resources. Therefore, based on the study of the multi-scale flexibility control measures of source network load storage, this paper puts forward the operation planning algorithm to reduce the total operation control risk effectively by coordinating and lowering the backup measures. Synergy with the value of various flexible resources in short-term operation planning to prevent and control the risk of wind, light and power outages in power systems, to achieve flexible operation planning. Finally, through the study, the algorithm proposed in this paper is verified that the algorithm can solve the problem of risk prevention and control in operation planning more economically and safely under the condition of large-scale grid-connected new energy. © 2021 IEEE.

关键词： Electric power transmission networks

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Multi-Objective Optimization of Magnetic Parameters in Wireless Charging Coupler Based on Deep Belief Network 26

Multi-Objective Optimization of Magnetic Parameters in Wirel...

引用

26th International Conference on Electrical Machines and Systems, ICEMS 2023

作者： Lan, Yu Jiang, Jinhai Song, Kai Yang, Fengshuo Sang, Lin Wang, Ke Zhang, Zhenjun Zhang, Xuan Li, Xuling Harbin Institute of Technology School of Electrical Energineering and Automation Harbin China Nari Technology CO. LTD. State Key Laboratory of Smart Grid Protection and Operation Control Nanjing China

ISBN: (纸本)9798350317589

The magnetic coupler is the core component of the wireless charging system. Its magnetic parameters have a significant effect on transmission performance. However, the current analytical models used for multi-objective optimization design are inadequate with poor calculation accuracy, leading to challenges in achieving comprehensive multi-objective optimal. This paper proposes an efficient fitness function modeling method for multi-objective optimization based on the deep belief network (DBN), enhancing both the design accuracy and optimization speed. Firstly, a three-dimensional magnetic circuit model is developed to consider the coil, magnetic core, and aluminum plate. Secondly, a loss correlation model of the magnetic coupler is established. Thirdly, the deep belief network (DBN) regression is utilized to obtain an accurate fitness characterization function. Finally, the fractional particle swarm optimization (FPSO) is applied to achieve the Pareto optimal solution of the magnetic coupler's design parameters. In this work, the WPTI rectangular coil is taken as an illustrative example. An optimized design with a coupling coefficient of 0.23, transmission efficiency of 97.5%, and a weight of 9.6 kg is selected for experimental verification. The results demonstrate that the predicted values match the measurements with an error less than 5%. © 2023 IEEE.

关键词： Multiobjective optimization

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DC operating circuit anomaly detection based on node voltage unsupervised time series 2

DC operating circuit anomaly detection based on node voltage...

引用

2nd International Conference on New Energy and Power Engineering, ICNEPE 2022

作者： Zhang, Shen Qi Yuan, Wei Yi, Ran Chen, Li State Grid NanTongPower Supply Company Jiangsu NanTong226000 China NARI Technology Nanjing Control Systems Co. Ltd Jiangsu Nanjing211106 China State Key Laboratory of Smart Grid Protection and Control Nari Group Corporation Jiangsu Nanjing211106 China

With the increase in power system load, the number of switch cabinets increases rapidly, and the accidents caused by DC operating circuits become more and more obvious. Abnormal detection has become an important part of the DC operating circuit. Abnormal data, mainly voltage measurement, often contain important information. Finding and analyzing these abnormal data can give early warning for circuit failure or failure. However, abnormal data is often difficult to obtain and lacks marks, that is, the problem of sample imbalance and unsupervised problems, resulting in abnormal detection methods that can not meet the increasing accuracy and efficiency requirements. Generative adversarial network (GAN) is an unsupervised deep learning model, which has been successfully applied to unsupervised time series anomaly detection. However, GAN has technical difficulties in the anomaly detection process, and there is still room for optimization in accuracy. In this paper, the unsupervised time series anomaly detection method based on GAN is studied, and an anomaly detection method of a DC operating circuit combined with LSTM and GAN is designed. © Published under licence by IOP Publishing Ltd.

关键词： Generative adversarial networks

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Research on Secure Data Circulation and Sharing protection Technology Framework for Power Monitoring System

Research on Secure Data Circulation and Sharing Protection T...

引用

2023 International Conference on Networking and Network Applications, NaNA 2023

作者： Huang, Weicong Zhou, Jieying Jin, Minghui Han, Zheng Wei, Sijia State Grid Smart Grid Research Institute Co. LTD. State Grid Laboratory of Power Cyber-Security Protection and Monitoring Technology Nanjing China National Power Dispatching and Control Center State Grid Corporation of China Beijing China State Grid Shanghai Municipal Electric Power Company Shanghai China

ISBN: (纸本)9798350327380

With the increasing frequency of data circulation and sharing in power monitoring systems, traditional network-centric protection strategies are insufficient to resist the growing risk of data leakage. This article analyzes the security risks in existing typical data circulation and sharing scenarios based on the demand for data security sharing in power monitoring systems. A data security protection technology framework covering the source layer, interaction layer, and terminal layer has been proposed from the perspectives of basic protection capabilities and key protection technologies, as well as an evaluation method for the protection technology capabilities of data circulation and sharing. This provides a reference idea for effectively enhancing the data circulation and sharing protection capabilities of power monitoring systems. © 2023 IEEE.

关键词： Risk perception

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A New Differential protection Scheme of Distribution Network Line Based on Improved DTW Algorithm and 5G Communication 1

引用

6th PURPLE MOUNTAIN FORUM on smart grid protection and control, PMF2021

作者： Pu, Hongfei Wu, Tonghua Yao, Gang Hong, Feng Zheng, Xiaojiang Wang, Weiwei Li, Xindong State Key Laboratory of Smart Grid Protection and Control Jiangsu Nanjing211106 China NARI Group Corporation Jiangsu Nanjing211106 China

ISBN: (数字)9789811671562

ISBN: (纸本)9789811671555

With the massive access of new energy, the differential protection will replace the traditional single-ended protection as the main protection of the distribution network line. Among the current differential protection channels, only 5G communication technology has both advantages of performance and price. However, using 5G communication as a communication channel needs to overcome the problems of delay jitter and data packet loss. This article first analyzes the principle of differential protection based on dynamic time warping (DTW) distance algorithm, and uses the nearest previous normal sampling point to replace the current abnormal one to deal with the problem of data packet loss, which is called alternative processing method. Secondly, the main starting criterion based on DTW distance of two-phase current and the auxiliary starting criterion based on DTW distance of the triple zero-sequence current are proposed. Thirdly, the calculation method of DTW algorithm under the short data window is proposed and the two operating criteria based on DTW algorithm are improved. And then, these 4 criteria are combined as a differential protection scheme for distribution network. Both theoretical calculation and simulation analysis show that the proposed scheme can operate well under different types of faults in different locations. With 5G communication delay being ignored, the scheme can operate in only 4–7 ms, and the data window of main operating criterion is only 3.75 ms. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： 5G mobile communication systems

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Electric vehicle identification and demand response capability assessment based on non-intrusive monitoring 5

Electric vehicle identification and demand response capabili...

引用

5th IEEE International Electrical and Energy Conference, CIEEC 2022

作者： Deng, Jiewen Wang, Jiarui Liu, Yu Wang, Yi Nanjing China Southeast University School of Electrical Engineering Nanjing China State Key Laboratory of Smart Grid Protection and Control Nanjing China

ISBN: (数字)9781665411042

ISBN: (纸本)9781665411042

The current rapid development and large number of applications of electric vehicles make it necessary to further strengthen the research on the state sensing and demand responsiveness of electric vehicles for residential measurements. Based on the non-intrusive load monitoring technology and deep learning algorithm, the user's power data is processed to obtain the start and end time of possible EV charging behavior, and then the user's power magnitude data and the obtained possible charging start and end time data are used as the input data of BP neural network to identify the EV charging behavior and establish the load sensing model of residential EVs. Based on the load perception model of electric vehicles, we identify the electric load data of residential measurement, obtain the charging status information such as power and electricity of electric vehicles of users, and use the status information as the data base to evaluate the demand response capability of residential measurement electric vehicles. Finally, the simulation modeling of the above method shows that the method can identify the charging status of electric vehicles more accurately and effectively evaluate the ability of residential measurement electric vehicles to participate in demand response. © 2022 IEEE.

关键词： Electric vehicles

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Analysis of the Status and the Prospects of Pilot protection in Distribution Network Based on 5G Communication 1

引用

6th PURPLE MOUNTAIN FORUM on smart grid protection and control, PMF2021

ISBN: (数字)9789811671562

ISBN: (纸本)9789811671555

With the massive access of new energy resources, distribution network urgently needs to popularize the principle of pilot protection. As a suitable data transmission channel at present, 5G communication technology still has the problem of time delay and its jitter, which also directly affects the data synchronization method of pilot protection. On the basis of analyzing the composition of 5G time delay and reasons for its jitter, this paper first summarizes the current methods to alleviate this problem and proposes a new solution to deal with it, namely regional ad hoc network technology based on 5G CPEs. Secondly, after elaborating the advantages and disadvantages of data synchronization and self-synchronization technology based on 5G communication, in order to cooperate with regional ad hoc network technology based on 5G CPEs, the improved ping-pong time synchronization method is proposed. Thirdly, the principle of pilot protection based on waveform similarity is explained in detail, which has good performance of anti-synchronization error and anti-data packet loss. And then, the data transmission security and 5G data traffic problem are analyzed. Finally, the overall communication strategy of the regional distribution network based on 5G communication is proposed, and several suggestions for the development of the pilot protection of distribution network based on 5G are proposed. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Time delay

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Identification Methods for Transformer Turn-to-Turn Faults and Inrush Current Based on Electrical Information

Identification Methods for Transformer Turn-to-Turn Faults a...

引用

2021 International Conference on Intelligent Power and Systems, ICIPS 2021

作者： Gong, Xinyi Zheng, Yuping Pan, Shuyan Wu, Chonghao Deng, Jinzhao NARI Research Institute NARI Group Corporation State Grid Electric Power Research Institute Nanjing China State Key Laboratory of Smart Grid Protection and Control China

Power transformer is the most imperative and crucial equipment in electrical power system. Accurately monitoring the occurrence of transformer faults and rapidly isolating the faults are of great significance to ensure the reliability of power supply and avoid serious damage to the transformer. There are many methods used in the transformer to monitor transformer running state. This paper provides a comprehensive overview of transformer turn-to-turn fault and inrush current identification methods based on electrical information, and expounds the systematic research content that needs to be carried out for transformer turn-to-turn fault identification methods based on magnetic flux leakage information. © Published under licence by IOP Publishing Ltd.

关键词： Power transformers

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An Assessment Method for the Contribution of Electrochemical Energy Storage to the FM Auxiliary Service Market

An Assessment Method for the Contribution of Electrochemical...

引用

2022 Asian Conference on Frontiers of Power and Energy, ACFPE 2022

作者： Xiong, Jiali Chen, Dawei Li, Zhicheng Zhang, Weijun Cai, Qiang Dai, Liyu Chao, Wujie Electric Power Research Institute State Grid Fujian Electric Power Co. Ltd Fujian Key Laboratory of Smart Grid Protection and Operation Control Fujian China

ISBN: (数字)9781665470841

ISBN: (纸本)9781665470841

This paper proposes an evaluation method for energy storage (ESS) to participate in the FM auxiliary service market. The Area control Error is used as an influencing variable reflecting the FM effect of ESS, the correlation between 'FM power of ESS' and 'Area control Error' is established, and the FM effect value of ESS on Area control Error is obtained, eventually constructing an index to measure the FM contribution of ESS. Analyze the distribution of the FM contribution index of ESS based on confidence level, determining the contribution and economic benefits of energy storage in the FM market. Measure and calculate based on the actual operation data of a provincial power grid, this method can measure the FM contribution of ESS, providing a reference for the investment in ESS and development of mechanisms for participating in FM auxiliary service. © 2022 IEEE.

关键词： Investments

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