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10th International Forum on Electrical Engineering and Automation, IFEEA 2023

作者： Zhu, Yihua Hu, Yun Tu, Liang Su, Mingzhang Luo, Chao Csg State Key Laboratory of Hvdc Electric Power Research Institute Guangzhou China National Energy Power Grid Technology R&d Centre Guangzhou China Guangdong Provincial Key Laboratory of Intelligent Operation and Control for New Energy Power System Guangzhou China China Southern Power Grid Csg Key Laboratory for Power System Simulation Electric Power Research Institute Guangzhou China

ISBN: (纸本)9798350309379

This paper establishes simulation modeling for large-scale grid connected wind power with energy storage system (ESS). The conventional grid-following (GFL) based ESS is used as a reference object to test the active support performance of large-scale grid-connected wind power with grid-forming (GFM) based ESS with active support performance evaluation indices in different scenarios. (1) Small disturbance evaluation indices: The point of common coupling (PCC) frequency/voltage drop depth and recovery time. (2) Large disturbance evaluation indices: The PCC frequency/voltage drop depth and rise height after fault removal. The output active/reactive power drop depth and rise height/recovery time after fault removal. (3) Island capability evaluation indices: The PCC frequency/voltage fluctuation amplitude at the moment of switching and system stability after switching. © 2023 IEEE.

关键词： active support performance evaluation indices different scenarios grid-following (GFL) grid-forming (GFM)

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Modeling and small-signal stability analysis of doubly-fed induction generator integrated system

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Global energy Interconnection 2023年第4期6卷 438-449页

作者： Tianming Gu Puyu Wang Dingyuan Liu Ao Sun Dejian Yang Gangui Yan Key Laboratory of Modern Power System Simulation and Control&Renewable Energy Technology Ministry of Education(Northeast Electric Power University)Jilin132012P.R.China School of Automation Nanjing University of Science and TechnologyNanjing 210094Jiangsu ProvinceP.R.China

Owing to their stability,doubly-fed induction generator(DFIG)integrated systems have gained considerable interest and are the most widely implemented type of wind turbines and due to the increasing escalation of the wind generation penetration rate in power *** this study,we investigate a DFIG integrated system comprising four modules:(1)a wind turbine that considers the maximum power point tracking and pitch-angle control,(2)induction generator,(3)rotor/grid-side converter with the corresponding control strategy,and(4)AC power *** detailed small-signal modeling of the entire system is performed by linearizing the dynamic characteristic equation at the steady-state ***,a dichotomy method is proposed based on the maximum eigenvalue real part function to obtain the critical value of the ***-locus analysis is employed to analyze the impact of changes in the phase-locked loop,short-circuit ratio,and blade inertia on the system ***,the accuracy of the small-signal model and the real and imaginary parts of the calculated dominant poles in the theoretical analysis are verified using PSCAD/EMTDC.

关键词： Doubly-fed induction generator(DFIG) Maximum power point tracking Dichotomy Small-signal stability

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Research on the Grid-connected Photovoltaic power Scheduling Strategy Considering the Flexible Load 3

Research on the Grid-connected Photovoltaic Power Scheduling...

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3rd International Conference on energy Engineering and power systems, EEPS 2023

作者： Meng, Tao Li, Chenggang Li, Dexin Zhang, Jiajun State Grid Jilin Electric Power Co. Ltd Electric Power Research Institute China Northeast Electric Power University Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education School of Electrical Engineering Changchun China State Grid Jilin Electric Power Co. Ltd Electric Power Research Institute Changchun China

ISBN: (纸本)9798350313857

With the target of "peak carbon dioxide emission"and "carbon neutrality", the installed capacity of renewable energy power generation is increasing rapidly. To improve the absorption capacity of renewable energy, the frequency regulation ability of flexible load is considered. Diffusion strategy is an optimal strategy for the distributed multi-agent system. Considering the flexible load, the grid-connected photovoltaic power applies the diffusion strategy to optimize the scheduling strategy. The effectiveness of the proposed optimal algorithm is verified by a simulation example. The results show that the proposed algorithm can realize frequency regulation, and improve the installed capacity of photovoltaic power generation. © 2023 IEEE.

关键词： Multi agent systems

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simulation Analysis of EFDC of Oil-Paper Insulation under Typical Electrode Structures with the Influence of Harmonic Voltage

Simulation Analysis of EFDC of Oil-Paper Insulation under Ty...

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

作者： Ning Zhang Jian Hao Jing Xu Jixiang Wang Houhe Chen Ruijin Liao Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin China State Key Laboratory of Power Transmission Equipment Technology School of Electrical Engineering Chongqing University Chongqing China

ISBN: (数字)9798350309638

ISBN: (纸本)9798350309645

The primary sources of harmonic distortion in the new power system are a high percentage of access to power electronic equipment and a high percentage of renewable energy grid connections. These factors pose a major risk to the UHV converter transformer oil-paper insulation performance. However, the influence law of harmonic voltage on the electric field distribution characteristics (EFDC) of oil-paper insulation is still unclear; thus, the law of variation of spatial maximum electric field strength (SMEFS) under the action of harmonic voltage and the EFDC on the surface of oil-immersed insulating paper are investigated in this paper by building a two-dimensional simulation model of the electric field distribution of oil-paper insulation under ball-plate and cylinder-plate electrode structure. The results indicate that the two electrode structures' SMEFS are situated in the narrow oil gap between the oil-impregnated insulating paper and the high-voltage electrode; under the influence of the same harmonic components, the insulating paper's surface exhibits an inverse power function decay in the electric field distribution, with the cylinder-plate electrode decaying more quickly than the ball-plate electrode. Meanwhile, for both electrode structures, with the increase of the 5th and 13th harmonics, the SMEFS and the insulating paper surface field strength both increase linearly and are higher than that of the power frequency field strength, while for the 7th and 11th harmonics, the ball-plate electrode weakens the electric field and then increases it with the increase of the harmonic content, whereas the cylinder-plate electrode only increases the electric field.

关键词： Electrodes renewable energy sources Voltage power system harmonics Harmonic analysis Predistortion power electronics

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Experimental Study on Dual parameter WeiBull Failure Model of Oil-Paper Insulation in Converter Transformers Considering the Influence of Harmonic Voltage

Experimental Study on Dual parameter WeiBull Failure Model o...

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International Conference on High Voltage Engineering and Application, ICHVE

ISBN: (数字)9798350374988

ISBN: (纸本)9798350374995

The main causes of harmonic distortion in new power systems are high percentage renewable energy grid connections and high percentage power electronic equipment access. These factors pose a serious threat to the ultra-high voltage converter transformers’ ability to perform as oil-paper insulation, and little research has been done on the failure law of oil-paper insulation that takes the effects of harmonic voltage into account. This paper presents the design and construction of a typical oil-paper insulation structure breakdown test platform, as well as the oil-paper insulation breakdown voltage under various frequency and content of harmonic voltage superimposed on the fundamental voltage. The dual parameter WeiBull distribution model is used to investigate the oil-paper insulation failure law under the influence of various harmonic voltage components. The experimental results show that the breakdown voltage of oil-paper insulation significantly decreases relative to the breakdown voltage of power frequency under the action of harmonic voltages with different frequencies and contents, and all follow a dual parameter WeiBull probability distribution. Among them, the minimum $\boldsymbol{U}_{63.2 \%}$ is about 13.47 kV when the 7 th and 11th harmonic voltage are superimposed, and the minimum $U_{63.2 \%}$ is about 13 kV when the 5th and 13th harmonic voltage are superimposed, which is about $\mathbf{2 3 \%}$ lower than the power frequency. Secondly, the fitting distribution of test data under the action of harmonic voltage of different frequencies and contents is approximately parallel, indicating that the failure mechanism of oil-paper insulation is the same.

关键词： Breakdown voltage renewable energy sources power system harmonics Oil insulation Harmonic analysis Probability distribution power electronics

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Research on a New Integrated Device for Remote control of power Cable Testing and Cutting

Research on a New Integrated Device for Remote Control of Po...

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2024 Boao New power system International Forum - power system and New energy technology Innovation Forum, NPSIF 2024

作者： Cao, Kangyangyong Xing, Hongquan Zhang, Yilin Xue, Chuan Li, Feiyi Gao, Ziyang State Grid Changchun Power Supply Company Changdian Group Cable Engineering Branch Jilin Changchun130000 China State Grid Changchun Power Supply Company Operation Maintenance Department Jilin Changchun130000 China Northeast Electric Power University Engineering Training and Teaching Center Jilin Jilin132011 China Jilin Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Jilin132011 China

ISBN: (纸本)9798331504557

With the continuous improvement and development of urban power grid structures, it is inevitable that cable lines will need to be renovated and replaced. In the process of cable construction, the traditional cable cutting process involves independent operations, requiring a large amount of equipment and occupying a large area. Workers need to wear protective clothing when cutting, which is inflexible and inefficient. This approach is no longer adequate for the diverse and complex construction sites of today. To this end, a new type of integrated power cable cutting device is specially designed and developed, which combines testing and cutting, reducing the use of cable cutting tools. The newly developed circuit cutter is designed with features such as compact size, high structural strength, good cutting effect, strong adaptability, and remote control function. It can significantly improve the safety and convenience of cable cutting operations, which is of positive significance for improving construction quality and efficiency and ensuring the personal safety of operators. © 2024 IEEE.

关键词： Remote control

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Visual simulation Platform for Optimization Configuration and Coordinated control of Thermal-Storage Joint Frequency Regulation

Visual Simulation Platform for Optimization Configuration an...

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IEEE Conference on energy Internet and energy system Integration (EI2)

作者： Cuiping Li Ziyun Zong Zheng Fang Zhijun Li Ping Zhang Qinglin Sui Xingxu Zhu Junhui Li Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education Northeast Electric Power University China Huadian Electric Power Research Institute Co. LTD Hangzhou China

ISBN: (数字)9798331523527

ISBN: (纸本)9798331523534

First, analyze the frequency modulation demand situation and propose an optimized configuration method for coordinating the control strategy of a thermal-mixed energy storage system to assist thermal power units in frequency modulation. Then, based on the proposed optimized configuration method and coordination control strategy, develop a visualization simulation platform for the optimized configuration and coordinated control of thermal energy storage joint frequency modulation using Matlab App Designer. Finally, the case study is based on the measured data from a 300 MW thermal power unit in a certain region of China, and it conducts an analysis to verify the effectiveness of the visualization simulation platform.

关键词： Visualization Frequency modulation Data visualization Thermal conductivity Thermal analysis MATLAB Frequency control Optimization Thermal energy energy storage

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A Short-Term power Prediction Method for Wind Farm Cluster Based on Time Dynamic Graph Network and Improved Transformer Model

A Short-Term Power Prediction Method for Wind Farm Cluster B...

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International Russian Smart Industry Conference (SmartIndustryCon)

作者： Chao Han Zihang Chen Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education (Northeast Electric Power University) Jilin China Jiangmen Power Supply Bureau of Guangdong Power Grid Co. Ltd Jiangmen China

ISBN: (数字)9798331511241

ISBN: (纸本)9798331511258

In recent years, wind power has gradually replaced thermal power as the main source of new energy generation. Wind power prediction in advance can help formulate scheduling strategies and improve the stability of the power system. With the advent of the Industry 4.0 and the widespread application of artificial intelligence technology, artificial algorithms have been extensively used in the field of wind power prediction. To further explore the spatiotemporal correlation of every wind farm in the wind farm cluster, a temporal dynamic graph network is used to divide the wind farm farm into several sub-clusters. Then, the KAN-BiLSTM-Transformer algorithm is used to predict wind power of each wind sub-cluster. Finally, the wind power of each sub-cluster is added to attain the final predicted power of the wind farm cluster. After verification, the RMSE and MAE of the proposed method is 0.06849 and 0.05805 respectively, with an accuracy of 93.15%, which is superior to the compared algorithms. Proposed method can provide more accurate prediction results.

关键词： Accuracy Heuristic algorithms Clustering algorithms Wind power generation Wind farms Predictive models Prediction algorithms Transformers Spatiotemporal phenomena Wind forecasting

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Multi-agent Deep Reinforcement Learning Based Multi-objective Charging control for Electric Vehicle Charging Station 7th

Multi-agent Deep Reinforcement Learning Based Multi-objectiv...

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7th Chinese Conference on Swarm Intelligence and Cooperative control, CCSICC 2023

作者： Gong, Jiabao Fu, Weiming Kang, Yu Qin, Jiahu Xiao, Feng Department of Automation University of Science and Technology of China Hefei230027 China State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources School of Control and Computer Engineering North China Electric Power University Beijing102206 China

ISBN: (纸本)9789819733279

This paper proposes a multi-agent deep reinforcement learning (MADRL) based algorithm for charging control of multiple electric vehicles (EVs) in an electric vehicle charging station (EVCS) with dynamic operations. By taking the uncertainties of EV users’ behaviors and charging prices into consideration, a Markov game with multiple objectives is first established, where the individual objective of reducing EV charging costs and the collective objective of mitigating charging load fluctuations are both studied. Then, a multi-agent actor-double-critic (MAADC) algorithm with a unified advantage actor-critic framework is proposed, where two advantage functions are designed as the local and global critics, and the integrated actor is employed to balance the learning towards the individual and collective objectives. The simulation results obtained in a delicately built EVCS environment show the effectiveness of MAADC. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Reinforcement learning

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Info-Hkelm Wind power Short-Term Prediction Based on Wind power Low Output Event Identification and Multi-Scenario Error Compensation

SSRN

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SSRN 2023年

作者： Yang, Mao Guo, Yunfeng Huang, Yutong Gu, Dake Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin Province Jilin132012 China

The penetration of a high percentage of renewable energy poses a challenge to the safe and stable operation of the power system, frequent wind power low output events have seriously affected power dispatch and power supply reliability, it becomes necessary to anticipate the occurrence of wind power low output events in advance and to develop effective supply assurance measures. In this paper, we propose a method for identifying and accurately predicting wind power low output events, firstly, we define wind power low output events and identify low output event types based on CNN-BiGRU. Secondly, A weighted clustering comprehensive assessment indicator is proposed to evaluate the effect of clustering of low output events, hybrid kernel extreme learning machine based on weighted mean of vectors algorithm optimization (INFO-HKELM) is used for preliminary prediction of low output events in different scenarios, and a multi-scenario error compensation mechanism based on similar fragment matching is proposed for further correction of power prediction results. The proposed method was applied to a wind farm in Inner Mongolia Autonomous Region for validation. Compared with the rest of the methods, the NRMSE of the method in this paper decreases by 1.56%~1.7%, NMAE decreases by 0.6%~1.11%, and R2 increases by 2.50%~2.92%. The multi-scenario error compensation mechanism reduces the NRMSE and NMAE of the preliminary power prediction results by 1.3% and 1.4%, respectively, which further improves the prediction accuracy and proves the effectiveness of the proposed method in this paper. © 2023, The Authors. All rights reserved.

关键词： Wind power

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