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6th International Conference on power and Energy Technology, ICPET 2024

作者： Guo, Xiaoyu Fan, Libo Han, Rongjie Huang, Jiabin Shi, Yuchao Lai, Yibo Sun, Min Power System Wide Area Measurement and Control of the Key Laboratory of Sichuan Province University of Electronic Science and Technology Chengdu China State Grid Zhejiang Electric Power Company Hangzhou China

ISBN: (纸本)9798350375855

The sensing technology of the power system promotes the deep integration of energy network and data information and helps to build a new type of power system with deep integration of digital and system. It can ensure the stable operation of the power grid. RFID sensors are widely used as passive wireless sensors. While they still face the disadvantage of missing data information when the reader is not actively interrogated. In this paper, a shape memory polymer material is introduced and its thermo-mechanical property of deformation recovery above and below the glass transition temperature is exploited to design a temperature threshold sensor. By measuring the backscatter power of the RFID tag, whether the target exceeds the threshold temperature could be determined. This method can record historical information in a non-electric form when the reader is not actively interrogated, facilitating quick problem solving or troubleshooting. In this paper, a prototype of the SMP material was fabricated using 3D printing technology. And several reader-tag temperature threshold detection experiments at different distances were conducted. The results show that the SMP material recovers its deformation near 60 °C in the reader antenna field range. And the backscatter power amplitude of the two tags is significantly flipped. This validates the feasibility of temperature threshold sensors. When electrical equipment malfunctions lead to high temperatures, temperature threshold sensors can detect the malfunction and solve the hidden problem. © 2024 IEEE.

关键词： Antennas

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HIGH-FREQUENCY OSCILLATION ANALYSIS OF WIND FARM-SIDE MMC STATION UNDER NO-LOAD CHARGING CONDITION 20

HIGH-FREQUENCY OSCILLATION ANALYSIS OF WIND FARM-SIDE MMC ST...

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20th International Conference on AC and DC power Transmission 2024, ACDC 2024

作者： Yang, Yongqing Ye, Hua Li, Guanqun Yang, Jialun Zhao, Yujing Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Shandong University 17923 Jingshi Road Jinan China State Grid Jinan Power Supply Company Jinan China

ISBN: (纸本)9781837242672

Existing research on high-frequency oscillation indicates that the high-frequency oscillation during no-load charging of modular multilevel converter (MMC) station is primarily linked to time delay and the ground capacitance of AC lines. Nevertheless, a high-frequency oscillation around 2000 Hz has been observed in Rudong high voltage direct current project even when the AC lines are not connected. Except time delay, there still exists another key factor of the high-frequency oscillation, i.e., the transformer stray capacitance. This paper delves into the interaction among the dynamics of MMC station and the transformer. And the mechanism of high-frequency oscillation under no-load charging condition is determined. Firstly, the harmonic state space (HSS) model of MMC station considering the effect of stray capacitance is established. By plotting the eigenvalue trajectory, the essentiality of taking into account stray capacitance is elucidated. Subsequently, a simplified model is obtained by neglecting the dynamics of elements with low participation in the oscillation modes. Next, the mechanism of high-frequency oscillation is clarified according to impedance characteristics. Finally, the impact of proportional gain and shear frequency on small signal stability is revealed. The correctness and accuracy are identified by electromagnetic transient simulations. © The Institution of Engineering & Technology 2024.

关键词： Eigenvalues and eigenfunctions

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STDHL: Spatio-Temporal Dynamic Hypergraph Learning for Wind power Forecasting

arXiv

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arXiv 2024年

作者： Dong, Xiaochong Zhang, Xuemin Yang, Ming Mei, Shengwei State Key Laboratory of Power System Operation and Control Department of Electrical Engineering Tsinghua University Beijing100084 China Key Laboratory of Power System Intelligent Dispatch and Control Shandong University Jinan250061 China

Leveraging spatio-temporal correlations among wind farms can significantly enhance the accuracy of ultra-short-term wind power forecasting. However, the complex and dynamic nature of these correlations presents significant modeling challenges. To address this, we propose a spatio-temporal dynamic hypergraph learning (STDHL) model. This model uses a hypergraph structure to represent spatial features among wind farms. Unlike traditional graph structures, which only capture pair-wise node features, hypergraphs create hyperedges connecting multiple nodes, enabling the representation and transmission of higher-order spatial features. The STDHL model incorporates a novel dynamic hypergraph convolutional layer to model dynamic spatial correlations and a grouped temporal convolutional layer for channel-independent temporal modeling. The model uses spatio-temporal encoders to extract features from multi-source covariates, which are mapped to quantile results through a forecast decoder. Experimental results using the GEFCom dataset show that the STDHL model outperforms existing state-of-the-art methods. Furthermore, an in-depth analysis highlights the critical role of spatio-temporal covariates in improving ultra-short-term forecasting accuracy. Copyright © 2024, The Authors. All rights reserved.

关键词： Wind forecasting

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Effect of Battery Energy Storage system Frequency Regulation on Frequency Characteristic of power systems

Effect of Battery Energy Storage System Frequency Regulation...

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2022 IEEE International Conference on power systems and Electrical Technology, PSET 2022

作者： Deng, Lijun Huang, Libin Cai, Haiqing Hu, Yun Liao, Mengjun Huang, Yunhui China Southern Power Grid Research Institute Co. Ltd Guangdong Provincial Key Laboratory of Intelligent Operation and Control for New Energy Power System Guangzhou China Wuhan University of Technology Guangdong Provincial Key Laboratory of Intelligent Operation and Control for New Energy Power System Wuhan China

ISBN: (纸本)9781665489157

This paper investigates the impact of battery energy storage system (BESS) frequency regulation on frequency characteristic of power systems. To begin with, a model of BESS participating in frequency regulation of power systems is established for analyzing effects of BESS control dynamics on grid frequency characteristic. And the analysis model is proved by comparison with time domain model. Furthermore, grid frequency characteristic analysis with including BESS frequency regulation is studied. Virtual inertia control and virtual inertia frequency control of BESS are investigated for Participate in power grid frequency regulation. Finally, Influence of energy storage inertia and primary frequency regulation control on system frequency characteristics are investigated in Matlab/Simulink. © 2022 IEEE.

关键词： Battery storage

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The Regional Distributed PV Ultra-short-term power Forecasting Based on Static-dynamic Spatiotemporal Correlation Modeling

The Regional Distributed PV Ultra-short-term Power Forecasti...

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2023 IEEE International Conference on Energy Technologies for Future Grids, ETFG 2023

作者： Zhu, Yu Yang, Le Yang, Xizai Xu, Fei Su, Zinuo Zhen, Zhao Information and Communication Technology R & D Center State Grid Shaanxi Electric Power Co. Ltd. Information and Communication Company Xi'an710048 China State Key Laboratory of Power System Operation and Control Tsinghua University Beijing100084 China

ISBN: (纸本)9781665471640

Accurate prediction of distributed photovoltaic power can help the arrange the scheduling plan reasonably to Maintain the safe and stable operation of the distribution network. However, distributed photovoltaic power generation exists lack of meteorological data and real-time monitoring data, the distribution range is large and dispersed, the installed capacity is relatively small and so on, the centralized photovoltaic power prediction method is not applicable to distributed photovoltaic power prediction, so it is necessary to carry out a regional power prediction study for distributed photovoltaic. Distributed PV is located in close proximity, in a similar external environment, and the power output between stations has strong spatial and temporal correlation, which can be captured to improve the accuracy of power forecasting. To this end, a regional distributed PV power prediction model based on static-dynamic spatiotemporal correlation modeling is proposed. The k-means is firstly used to cluster the regional distributed photovoltaic sites into several sub-regions, according to the geographical location and output characteristics that reflect the long-term static correlation between power stations. Then, graph convolutional neural network are applied to capture the dynamic correlation between subregions according to the power. In this way, the static and dynamic correlation are effectively considered in power prediction modeling, and the prediction accuracy has been improved. The superiority of the proposed method is verified by a real world dataset in China. © 2023 IEEE.

关键词： distributed photovoltaic graph convolution Regional power prediction

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Conflict Mechanism Analysis Method for Electric Vehicles Participating in Multiple Types of power Grid Ancillary Services

Conflict Mechanism Analysis Method for Electric Vehicles Par...

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2023 International Conference on power system Technology, powerCon 2023

作者： Xue, Yinjuan Chen, Qifang Cai, Haiqing Xia, Mingchao Gu, Haohan School of Electrical Engineering Beijing Jiaotong University Beijing China State Key Laboratory of Hvdc Electric Power Research Institute China Southern Power Grid 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 Csg Key Laboratory for Power System Simulation Electric Power Research Institute China Southern Power Grid Guangzhou China

ISBN: (纸本)9798350300222

As the high-quality flexible resource of the grid, electric vehicles (EVs) can provide multiple auxiliary services for the grid at the same time. However, due to the one-way charging and discharging of EVs, as well as the limitation of power and capacity, which may cause availability conflicts when EVs participate in different auxiliary services simultaneously. This paper focuses on the analysis of the conflict mechanism of EVs participating in the secondary frequency regulation and peak shaving ancillary services at the same time. The impact mechanism between different auxiliary services in this conflict mode is revealed from the two aspects of limit conflict and charging and discharging instruction conflict, and the results of availability conflict of the two types of auxiliary services are verified and analyzed through simulation examples. © 2023 IEEE.

关键词： Frequency modulation

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Detection method of icing thickness of overhead transmission lines based on canny algorithm

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International Journal of Energy Technology and Policy 2024年第3-4期19卷 344-362页

作者： Yang, Yang Hua, Shenbing Wang, Hongxia Li, Meng He, Qifei Zhao, Minguan Wan, Yuanhao Ma, Shuyang Xinjiang Power Transmission and Transformation Extreme Environment Operation and Testing Technology Autonomous Region Key Laboratory Urumqi830000 China State Grid Xinjiang Electric Power Co. Ltd. Electric Power Science Research Institute Urumqi830000 China China Electric Power Research Institute Co. Ltd. Beijing100000 China Power Dispatch Control Center of State Grid Corporation of China Beijing100031 China

This study proposes a novel detection approach utilising the canny algorithm to address the low accuracy issues in traditional icing thickness detection on overhead transmission lines. Employing an unmanned aerial vehicle equipped with a camera for collecting icing images, noise interference is mitigated via compressive sensing theory. Converting the images into greyscale enables edge detection using the canny algorithm. Utilising random Hough transform for extracting edge lines, which are then fused with edge images for subsequent processing and ice thickness calculation. Experimental results validate the substantial enhancement in detection accuracy and efficiency for icing thickness detection on overhead transmission lines with the application of this method. © 2024 Inderscience Enterprises Ltd.

关键词： Unmanned aerial vehicles (UAV)

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Stochastic Optimal Configuration of Shared Energy Storage and Wind Farms for Primary Frequency Support Considering Wind Speed Correlations 4

Stochastic Optimal Configuration of Shared Energy Storage an...

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4th Energy Conversion and Economics Annual Forum, ECE Forum 2024

作者： Liu, Jiajie Jia, Yanbing Shi, Junyi Zhang, Guoqiang Li, Changlin Jia, Ying Key Laboratory of Cleaner Intelligent Control on Coal & Electricity Ministry of Education澿 Taiyuan China Shanxi Key Lab. of Power System Operation and Control Taiyuan University of Technology Taiyuan China State Grid Sichuan Electric Power Company Ziyang Power Supply Company Ziyang China

ISBN: (纸本)9781837242627

To address the issue of frequency stability caused by the integration of renewable energy into the grid, the shared energy storage (SES) is coordinated with multiple wind farms (WFs). The scientific PFR reserve capacity configuration of them is essential to balance reliability and cost. Nevertheless, due to the desynchronization of wind resources between WFs and on-site wind turbines (WTs), there are differences in the reserve capacity and allocated SES capacity of different WFs. The traditional unified capacity configuration method easily increases costs. Therefore, this paper proposes a stochastic optimal configuration method considering wind speed (WS) correlations. Firstly, the high-dimensional vine Copula is used and the effects of wake, terrain, and time-delay are considered to portray the WS correlation of multiple WFs and multiple WTs, respectively. Subsequently, the PFR reserve capacity optimal strategy is established to minimize the total cost of the WFs and the SES. In particular, the p-efficient point algorithm based on the Copula function is utilized to solve the chance constraint. The simulation results show that the proposed method reasonably configures each WT's deloading capacity and the SES capacity with consideration of WS correlations and uncertainties, meeting the PFR demand and reducing the reserve cost. © The Institution of Engineering & Technology 2024.

关键词： Windmill

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Identifiability Analysis of Load Model Parameters by Estimating Confidential Intervals

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CSEE Journal of power and Energy systems 2023年第5期9卷 1666-1675页

作者： Xinran Zhang Chao Lu Ying Wang Qiantu Ruan Hongbo Ye Weihong Wang the School of Automation Science and Electrical Engineering Beihang UniversityBeijing 100191China. the State Key Laboratory of Control and Simulation of Power System and Generation Equipment Tsinghua UniversityBeijing 100084China School of Technology Beijing Forestry UniversityBeijing 100083China the State Grid Shanghai Electric Power Company Shanghai 200122China

The identification of load model parameters from practical measurement data has become an essential method to build load models for power system simulation,analysis and *** practical situations,the accuracy of the load model parameters identification results is impacted by data quality and measurement accuracy,which leads to the problem of *** this paper,an identifiability analysis methodology of load model parameters,by estimating the confidential intervals(CIs)of the parameters,is *** load model structure and the combined optimization and regression method to identify the parameters are first ***,the definition and analysis method of identifiability are *** CIs of the parameters are estimated through the profile likelihood method,based on which a practical identifiability index(PII)is defined to quantitatively evaluate ***,the effectiveness of the proposed analysis approach is validated by the case study results in a practical provincial power *** results show that the impact of various disturbance magnitudes,measurement errors and data length can all be reflected by the proposed ***,the proposed PII can provide guidance in data length selection in practical load model identification situations.

关键词： Confidential interval Load modeling parameter estimation practical identifiability

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Research on Asymmetric Fault Location of Wind Farm Collection system Based on Compressed Sensing

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Energy Engineering 2023年第9期120卷 2029-2057页

作者： Huanan Yu Gang Han Hansong Luo He Wang Key Laboratory of Modern Power System Simulation and Control&Renewable Energy Technology Ministry of EducationNortheast Electric Power UniversityJilin132012China Qinhuangdao Power Supply Company State Grid Jibei Electric Power Co.Ltd.Qinhuangdao066099China

Aiming at the problem that most of the cables in the power collection systemof offshore wind farms are buried deep in the seabed,whichmakes it difficult to detect faults,this paper proposes a two-step fault location method based on compressed sensing and ranging *** first step is to determine the fault zone through compressed sensing,and improve the datameasurement,dictionary design and algorithmreconstruction:Firstly,the phase-locked loop trigonometric functionmethod is used to suppress the spike phenomenon when extracting the fault voltage,so that the extracted voltage valuewillnot have a large error due to the voltage ***,theλ-NIM dictionary is designed by using the node impedancematrix and the fault location coefficient to further reduce the influence of pseudo-fault ***,the CoSaMP algorithmis improved with the generalized Jaccard coefficient to improve the reconstruction *** second step is to use the ranging equation to accurately locate the asymmetric fault of the wind farm collection system on the basis of determining the fault *** simulation results show that the proposedmethod ismore accurate than the compressedsensingmethod andimpedancemethod in fault section location and fault location accuracy,the relative error is reduced from 0.75%to 0.4%,and has a certain anti-noise ability.

关键词： Offshore wind farm convergence system compression sensing ranging equation fault location

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