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

作者： Dongbao Lv Shanshan Qiu Yujun Zhou Changgang Li Junjun Yang Wei Xu Xing Lei Changhui Ma Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Shandong University Jinan China NARI Group Corporation State Grid Electric Power Research Institute Nanjing China State Grid Shanghai Municipal Electric Power Company Shanghai China Shandong Smart Grid Technology Innovation Center State Grid Shandong Electric Power Company Electric Power Science Research Institute Jinan China

ISBN: (数字)9798331523527

ISBN: (纸本)9798331523534

With the rapid development of renewable generation, the evolution process of fast cascading failures in the power system with a high proportion of renewable generation turns out to be more complicated. There are few existing fast cascading failure models that take into account the voltage ride through (VRT) capability of renewable generation. The portrayal of the dynamic characteristics of renewable generation still needs to be improved. In response to this, the VRT control model and VRT protection model have been established to comprehensively depict the output characteristics and disturbance tolerance capability of renewable generation in fast cascading failures. Finally, the simulation results of the AC-DC hybrid receiving-end system with a high proportion of renewable generation show that the established models can effectively depict the influence of VRT capability of renewable generation in fast cascading failures, providing a more comprehensive basis for the analysis of fast cascading failures under the access of a high proportion of renewable generation.

关键词： Renewable energy sources Voltage fluctuations Simulation Power system protection Power system dynamics System integration Delays Power system faults Voltage control Transient analysis

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Fault diagnosis method for ship power-system DC–DC converter using augmented WPD and multi-branch CNN-BiLSTM network

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Journal of the Franklin Institute 2025年第9期362卷

作者： Ren, Yuanjie Zhang, Lanyong Shi, Peng Peng, Huimin College of Intelligent Systems Science and Engineering Harbin Engineering University Harbin150001 China School of Electrical and Mechanical Engineering The University of Adelaide SA5000 Australia State Key Laboratory of Smart Grid Protection and Control Nari Group Corporation Jiangsu Nanjing211106 China

Direct current (DC) –DC converters are indispensable energy conversion devices in medium-voltage DC power systems of ships. Herein, the fault diagnosis problem of bidirectional DC–DC converters is investigated. Considering that the fault diagnosis of bidirectional DC–DC converters requires the effective combination of information from multiple diagnostic signals and differences in characteristic data in different time scales, a parallel stacking of multiple branches based on enhanced wavelet packet decomposition technology is proposed as a hybrid model of a convolutional neural network and bidirectional long short-term memory network. First, a multi-input method is used to extract effective features in the sequence data. Second, a multi-model fusion processing framework is used to perform fault diagnosis analysis on the DC–DC converter. Finally, the squeeze and excitation attention mechanism is used to weight all types of fault features and adaptively obtain them. The important weights of the classification feature maps learned by different branches generate fault classification results. Experimental results reveal that the proposed method can extract highly discriminative features from raw data and exhibits robustness in noisy environments. © 2025 The Franklin Institute

关键词： Convolutional neural networks

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Distributed Power Service Restoration Method of Distribution Network with Soft Open Point

Distributed Power Service Restoration Method of Distribution...

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2020 IEEE/IAS Industrial and Commercial Power System Asia, I and CPS Asia 2020

作者： Sun, Shoujing Cong, Wei Sheng, Yaru Chen, Ming Wei, Zhen Shandong University Key Laboratory of Power System Intelligent Dispatch and Control Jinan China Tianjin University Key Laboratory of Smart Grid of Ministry of Education Tianjin China Qingdao Power Supply Company Shandong Electric Power Company State Grid Qingdao China

ISBN: (纸本)9781728143033

Soft open point (SOP) is applied to the power service restoration of the distribution network because of the advantages of flexible control mode and optimizing the operation of the distribution network. Taking advantage of parallel collaborative between independent peer smart terminals unit (STU) in distribution network and information interaction ways of working, distributed power service restoration method of distribution network considering soft open point is put forward, which brings the superiority of SOP in the aspect of power service restoration into full play and avoids the problem of large information collection and calculation in the centralized power service restoration method. Firstly, the structure, control mode and power service restoration model of SOP are introduced, and then the distributed power service restoration method of distribution network with SOP is described, which mainly includes distributed network topology search and the expression and calculation of constraint conditions. Finally, a numerical simulation is carried out to verify the effectiveness of the proposed method. © 2020 IEEE.

关键词： Restoration

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Probabilistic Charging Power Forecast of EVCS: Reinforcement Learning Assisted Deep Learning Approach

arXiv

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arXiv 2022年

作者： Li, Yuanzheng He, Shangyang Li, Yang Ge, Leijiao Lou, Suhua Zeng, Zhigang School of Artificial Intelligence and Automation Key Laboratory on Image Information Processing and Intelligent Control of Ministry of Education Huazhong University of Science and Technology Wuhan430074 China China-Belt and Road Joint Laboratory on Measurement and Control Technology Wuhan430074 China China-EU Institute for Clean and Renewable Energy Huazhong University of Science and Technology Wuhan430074 China School of Electrical Engineering Northeast Electric Power University Jilin 132012 China The Key Laboratory of Smart Grid of Ministry of Education Tianjin University Tianjin 300072 China School of Electrical and Electronic Engineering Huazhong University of Science and Technology Wuhan430074 China

The electric vehicle (EV) and electric vehicle charging station (EVCS) have been widely deployed with the development of large-scale transportation electrifications. However, since charging behaviors of EVs show large uncertainties, the forecasting of EVCS charging power is non-trivial. This paper tackles this issue by proposing a reinforcement learning assisted deep learning framework for the probabilistic EVCS charging power forecasting to capture its uncertainties. Since the EVCS charging power data are not standard time-series data like electricity load, they are first converted to the time-series format. On this basis, one of the most popular deep learning models, the long short-term memory (LSTM) is used and trained to obtain the point forecast of EVCS charging power. To further capture the forecast uncertainty, a Markov decision process (MDP) is employed to model the change of LSTM cell states, which is solved by our proposed adaptive exploration proximal policy optimization (AePPO) algorithm based on reinforcement learning. Finally, experiments are carried out on the real EVCSs charging data from Caltech, and Jet Propulsion laboratory, USA, respectively. The results and comparative analysis verify the effectiveness and outperformance of our proposed framework. Copyright © 2022, The Authors. All rights reserved.

关键词： Markov processes

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Corrigendum to ‘Distributional two-level synergetic unit commitment considering three scheduling states’

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Electric Power Systems Research 2023年 216卷

作者： Yumin Zhang Xuan Zhang Xingquan Ji Ming Yang Xueshan Han Ziyang Yin College of Electrical Engineering and Automation Shandong University of Science and Technology Qingdao 266590 China Key Laboratory of Smart Grid of Ministry of Education Tianjin University 300072 Tianjin China Key Laboratory of Power System Intelligent Dispatch and Control (Shandong University) Ministry of Education Jinan 250061 China

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Distributed Power Service Restoration Method of Distribution Network with Soft Open Point

Distributed Power Service Restoration Method of Distribution...

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IEEE/IAS Industrial and Commercial Power System Asia (I&CPS Asia)

作者： Shoujing Sun Wei Cong Yaru Sheng Ming Chen Zhen Wei Key Laboratory of Power System Intelligent Dispatch and Control (Shandong University) Jinan China Key Laboratory of Smart Grid of Ministry of Education (Tianjin University) Tianjin China Qingdao Power Supply Company Shandong Electric Power Company State Grid Qingdao China

ISBN: (数字)9781728143033

ISBN: (纸本)9781728143040

关键词： Switches Power supplies Network topology Topology Impedance Voltage control Switching circuits

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Robust Integrated optimization of Active Distribution Network Based on System Risk Index

Robust Integrated optimization of Active Distribution Networ...

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IEEE Student Conference on Electric Machines and Systems

作者： Yumin Zhang Haishu Gao Xingquan Ji Qi Liu Yixiao Yu College of Electrical Engineering and Automation Shandong University of Science and Technology Qingdao China Key Laboratory of Smart Grid of Ministry of Education Tianjin University Tianjin China Key Laboratory of Power System Intelligent Dispatch and Control Shandong University Jinan China

ISBN: (数字)9781728156224

ISBN: (纸本)9781728156231

This paper presents a comprehensive distribution robust optimization model based on the distribution network risk index to address the distributional uncertainties of distributed generations (DGs) and loads. To analyze the security of active distribution network (ADN) systematically, a risk assessment method based on improved semi-invariant method and clustering technique is proposed. The risk assessment method is performed on the integrated dynamic reconfiguration and reactive power optimization model. This method can consider the correlation between distributed power sources, and when the injected power is large, the calculation results with higher accuracy can be obtained Case studies on the PG&E 69-bus system verify the robustness and feasibility of the proposed model.

关键词： Uncertainty Power supplies Computational modeling Risk management Indexes Optimization Load modeling

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Surface Charging Phenomena on HVDC Spacers for Compressed SF_(6) Insulation and Charge Tailoring Strategies

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CSEE Journal of Power and Energy Systems 2020年第1期6卷 83-99页

作者： Chuanyang Li Yuan Xu Chuanjie Lin Geng Chen Youping Tu Yao Zhou Zhipeng Lei Tao Han Simone Vincenzo Suraci Jian Wang Weidong Liu M.Tariq Nazir Shun He Andrea Cavallini Giovanni Mazzanti Davide Fabiani Jinliang He Electrical Insulation Research Center Institute of Materials ScienceElectrical and Computer EngineeringUniversity of ConnecticutStorrsCT 06269USA. China Electric Power Research Institute Beijing 100192China Department of Electrical Electronicand Information Engineering“Guglielmo Marconi”University of BolognaViale Risorgimento 2Bologna40136Italy State Key Laboratory of Power Systems Department of Electrical EngineeringTsinghua UniversityBeijing 100084China Beijing Area Major Laboratory of High Voltage and Electromagnetic Compatibility North China Electric Power UniversityBeijing 102206China Shanxi Key Laboratory of Mining Electrical Equipment and Intelligent Control National and Provincial Joint EngineeringTaiyuan University of TechnologyTaiyuan 030024China Key Laboratory of Smart Grid of Education Ministry School of Electrical and Information EngineeringTianjin UniversityTianjin 300072China School of Mechanical and Manufacturing Engineering University of New South Wales SydneyNSW 2052Australia Electric Power Research Institute Yunnan Electric Power Grid Co.ltd.KunmingYunnan 650217China

Surface flashover of spacers is a key factor limiting the application of HVDC GIS/GIL,while the charge accumula-tion on the surface of the spacer could have a potential adverse effect on the surface flashover *** paper discusses the laws regarding distribution patterns of surface charges and the related *** field-dependent property is discussed in detail to comprehensively illustrate the charge transport mecha-nism and explain the research differences regarding different surface charge patterns obtained by previous *** addition,the main surface charge control methods for epoxy resin are summarized and *** potential research directions of charge control methods and key points in manufacturing of spacers used in HVDC GIS/GIL are also explored.

关键词： GIL HVDC insulator SF6 surface charge accumulation surface flashover

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Effect of long-term fluorination on surface electrical performance of ethylene propylene rubber

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High Voltage 2019年第4期4卷 339-344页

作者： Rujia Men Zhipeng Lei Tao Han Davide Fabiani Chuanyang Li Simone Vincenzo Suraci Jian Wang Shanxi Key Laboratory of Mining Electrical Equipment and Intelligent Control College of Electrical and Power EngineeringTaiyuan University of TechnologyTaiyuan 030024People's Republic of China Department of Electrical Electronicand Information Engineering‘Guglielmo Marconi’University of BolognaViale Risorgimento 2Bologna 40136Italy Key Laboratory of Smart Grid of Education Ministry School of Electrical and Information Engineering Tianjin UniversityTianjin 300072People's Republic of China State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources North China Electric Power UniversityChangping DistrictBeijing 102206People's Republic of China

To investigate the effect of fluorination on surface electrical performance of ethylene propylene rubber(EPR),four pieces of EPR specimens are prepared and fluorinated for different duration ranging from 120 min to 480 *** surface morphology and element compositions of experimental specimens are *** surface potential decay and complex permittivity are *** tracking discharge property and the erosion properties after tracking test are *** surface charge transport and electrical property tailoring mechanism are *** results show that when the fluorination duration is from 120 min to 360 min,the surface morphology gradually becomes flat and compact with time,and the surface resistance to electrical tracking is *** an excessive fluorination with the duration of 480 min leads to a significant increase in surface conductivity and a weakening in the resistance to electrical tracking,which is mainly due to a change in surface *** recommended fluorination duration for an optimised surface property is between 240 and 360 min for EPR specimen.

关键词： electrical propylene rubber

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Interactions Between Gas Networks and Microgrids Through Microturbines

Interactions Between Gas Networks and Microgrids Through Mic...

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IEEE Power and Energy Society General Meeting

作者： Xiandong Xu Kang Li Hongjie Jia Yuanjun Guo Energy Power and Intelligent Control Cluster Queen's University Belfast Key Laboratory of Smart Grid of Ministry of Education Tianjin University Shenzhen Institute of Advanced Technology Chinese Academy of Sciences

ISBN: (纸本)9781538622131;9781538622124

By supplying thermal and electric energies to host facilities, microgrids with combined heat and power can enhance the resilience of urban energy systems. However, the increasing use of gas-fired distributed generations is pushing gas distribution networks to their operating limits, which may cause significant adverse impacts on microgrids. This paper investigates the interactions between gas networks and microgrids from the viewpoint of integrated energy systems. Four operating modes of microgrids are discussed to describe their connections with external energy networks. A novel model for gas-fired distributed generations, particularly microturbines, is first proposed to capture the interactions between gas networks and microgrids. An integrated system model is then developed to characterize the behaviors of the interrelated gas network and microgrids under different scenarios. Numerical results demonstrate that the variation of microturbine outputs may cause a large pressure drop of the gas network, especially during the transient process of gas flow adjustments. The results also reveal that microgrids can alter the operations among themselves through the accessed gas network.

关键词： Microgrids Load modeling Pipelines Cogeneration Power system dynamics Resilience

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