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检索条件"机构=Key Laboratory of Intelligent Dispatching and Control of Power Grid"

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Prediction of Distributed Photovoltaic Accommodation Capability Based on Ridge Regression 9th

Prediction of Distributed Photovoltaic Accommodation Capabil...

引用

9th Purple Mountain Form on Smart grid Protection and control, PMF 2024

作者： Ji, Xingquan Zhang, Bowen Zhang, Yumin Sun, Pengkai Zhang, Xiaofeng Liu, Wei dong Shandong University of Science and Technology Qingdao266590 China Key Laboratory of Power System Intelligent Dispatch and Control Shandong University Jinan250061 China Information and Communication Company State Grid Shandong Electric Power Company Jinan250013 China Qingdao Yihe Electric Group Co. Ltd. Qingdao266510 China

ISBN: (纸本)9789819616701

A prediction method of distributed photovoltaic accommodation capability is proposed based on ridge regression. First, the factors influencing the distributed photovoltaic accommodation capacity are analyzed, and the concept of the contribution degree of distributed photovoltaic accommodation is introduced. The gray relation analysis method is used to evaluate the correlation between different factors and distributed photovoltaic accommodation, and a model of factors affecting distributed photovoltaic accommodation is constructed. Then, a prediction model of distributed photovoltaic accommodation capability is established based on ridge regression. The factors with high photovoltaic accommodation contribution degrees are incorporated in the prediction model. The mapping relationship between the driving factors of distributed photovoltaic accommodation and the prediction model is derived, then the development strategies for future photovoltaic accommodation capacity are formulated. Finally, simulation is performed on the SPSSPRO platform, and the results show that the proposed method can predict the distributed photovoltaic accommodation capability accurately and provide strategic suggestions for improving future photovoltaic accommodation capacity. © State grid Electric power 2025.

关键词： Photovoltaics

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Analysis of action mechanism of positive sequence fault component directional element considering energy storage access

Analysis of action mechanism of positive sequence fault comp...

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IEEE Asia power and Energy Engineering Conference (APEEC)

作者： Feng Xue Jiawei He Bin Li Rui Mu Cheng Yao Yongwu Zhang Key Laboratory of Smart Grid of Ministry of Education Tianjin University Tianjin China Electric Power Research Institute State Grid Tianjin Electric Power Company Tianjin China Electric Power Dispatching and Control Center State Grid Tianjin Electric Power Company Tianjin China

ISBN: (数字)9798350373479

ISBN: (纸本)9798350373486

When the energy storage system is connected to the AC distribution network, the action characteristics of the fault component direction element are different from other new energy systems due to its special control strategies and working modes. Under the same fault condition, the different charging and discharging modes of the energy storage system will lead to different operating characteristics of the positive sequence fault component direction element. Based on the control strategies and working modes of the energy storage system, this paper focuses on the phasor characteristics of the positive sequence voltage and current before and after the symmetrical fault of the AC side line connected to the energy storage system, and analyzes the action mechanism of the positive sequence fault component direction element. Finally, the correctness of the theoretical analysis is verified by PSCAD simulation.

关键词： Lead acid batteries Electrical engineering Reactive power Simulation Asia Distribution networks Fault location

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Anti-collision Alarm System of Crane Against High-Voltage Lines Based on Multimodal Information

Anti-collision Alarm System of Crane Against High-Voltage Li...

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2023 International Conference on Electronic Information Engineering and Data Processing, EIEDP 2023

作者： Luo, Xi Yin, Mengqi Xu, Ce Tang, Guanrong Second Substation Management Station of Guangzhou Power Supply Bureau of China Southern Power Grid Co. Ltd Guangzhou510620 China Institute of Intelligent Manufacturing Guangdong Academy of Sciences Guangdong Key Laboratory of Modern Control Technology Guangzhou510070 China

ISBN: (纸本)9781510666160

With the rapid development of high-voltage transmission engineering, more and more cranes are operated around the high-voltage lines. Due to the high altitude construction crane is too close to the high-voltage transmission lines, some accidents of the transmission lines often occur such as the short circuit and tripping, which has brought great impact on daily life and production. Therefore, it is necessary to design a system about anti-collision alarming against high-voltage transmission lines to prevent damages to operators. Considering the above situation, a system about anti-collision alarm of crane against high-voltage lines based on multi-modal information is proposed in this paper. The framework of this system is mainly divided into perception layer, detection layer and application layer. Through the simulation analysis and experimental verification of multimodal information, it indicates that our proposed system has a good effect both in real detection and anti-collision, which can effectively avoid the occurrence of accidents in the process of crane operation. © 2023 SPIE.

关键词： Electric lines

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Optimization of silicone rubber materials for high voltage switchgear and study on characteristic gas of thermal decomposition 2

Optimization of silicone rubber materials for high voltage s...

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2nd International Conference on Electronics, Electrical and Information Engineering, ICEEIE 2022

作者： Tang, Bin Liang, Qinqin Zhang, Longfei Luo, Zongchang Luo, Chuansheng Hu, Mengzhu Wang, Jialin Zhu, Liping Guangxi Key Laboratory of Intelligent Control and Maintenance of Power Equipment Electric Power Research Institute of Guangxi Power Grid Co. Ltd. China Nanning Power Supply Bureau of Guangxi Power Grid Co. Ltd. China Guangxi Power Grid Co. Ltd. China

In this paper, three kinds of silicone rubber materials, methyl silicone rubber, phenyl silicone rubber and fluorosilicone rubber, are used as the research object, contact angle tester, thermal conductivity tester, insulation resistance tester, differential scanning calorimeter and thermogravimetric analyzer to explore the effect of side groups on the properties of silicone rubber. The results show that the thermal conductivity of three kinds of silicone rubber materials is poor, but they all have good hydrophobicity, insulation and thermal stability. Among them, phenyl silicone rubber shows better hydrophobicity and thermal stability. In addition, the type and relative content of characteristic gases of thermal decomposition of silicone rubber materials at different temperatures are analyzed in detail by gas chromatography mass spectrometer. The results show that C6H18O3Si3 and C8H24O4Si4 are the common characteristic gases of thermal decomposition of three kinds of silicone rubber. © Published under licence by IOP Publishing Ltd.

关键词： Differential scanning calorimetry

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An Instance Segmentation Approach for power Lines Detection based on Image Enhancement and Deep Neural Networks 2

An Instance Segmentation Approach for Power Lines Detection ...

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2nd International Conference on Energy, power, and Electrical Technology, ICEPET 2023

作者： Luo, Xi Yin, Mengqi Xu, Ce Tang, Guanrong Second substation management station of Guangzhou Power Supply Bureau of China Southern Power Grid Co. Ltd Guangzhou510620 China Institute of Intelligent Manufacturing Guangdong Academy of Sciences Guangdong Key Laboratory of Modern Control Technology Guangzhou510070 China

ISBN: (纸本)9781510668270

power lines detection (PLD) plays a key role in ensuring the convenience and stability of social urban life. Deep learning-based methods have been widely investigated for power lines detection, which can prevent the operators from damage. However, due to the influence of light, angle, position and other factors, how to realize the reliable power line detection (PLD) automatically in real time and prevent accidents is a challenging problem. In this paper, a novel framework based yolcat is proposed to enhance the images and automatically detect power lines based on deep learning. The novel framework is by design fully convolutional, and it consists of two modules: (i) an image enhancement with Gaussian Pyramid, (ii) a line segment regressor. To evaluate the proposed methods, a public dataset is utilized to test the performance of line detection with standard metric of mean average precision (mAP). Results indicate that the proposed methods show the best performance of power line detection with the image enhancement across baseline methods. © 2023 SPIE.

关键词： Image enhancement

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Transient voltage stability margin prediction method based on lightgbm 4

Transient voltage stability margin prediction method based o...

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4th International Conference on Advanced Electronic Materials, Computers and Software Engineering, AEMCSE 2021

作者： Jie, Zhang Binjiang, Hu Qi, Guo Yihua, Zhu Zhiyuan, Sun Mingpo, Li Yan, Sun Electric Power Research Institute CSG State Key Laboratory of HVDC China Guangdong Provincial Key Laboratory of Intelligent Operation and Control for New Energy Power System China CSG Key Laboratory of Power System Simulation Guangzhou China Guangxi Power Grid Electrical Power Research Institute Nanning China Guangxi Power Grid Dispatching Control Center Nanning China

ISBN: (纸本)9781665415965

Traditional time-domain simulation method has long calculation time on transient voltage stability margin prediction problem, the direct method is difficult to adapt to the complex power grid model, and the deep neural network method requires a large data set. In this paper, we propose the method based on LightGBM, which has the advantages of appropriate model complexity and less training time demand. Based on a regional subsystem of Guangxi power grid with more electrolytic aluminum load, and a power system transient voltage stability margin prediction model based on LightGBM is constructed. To solve the long tail distribution learning problem, target clipping and log transformation techniques are proposed to enhance the model. The effectiveness of them is verified by experiment results. And we propose a new metric, partial RMSE, to evaluate the performance of the model fitting the instability data. The experiment results also show that it has achieved better performance and training time than other machine learning models. © 2021 IEEE.

关键词： Forecasting

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Photovoltaic Data Cleaning Method Based on DBSCAN Clustering, Quartile Algorithm and Pearson Correlation Coefficient Interpolation Method 6

Photovoltaic Data Cleaning Method Based on DBSCAN Clustering...

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6th International Conference on Energy, Electrical and power Engineering, CEEPE 2023

作者： Wang, Biyuan Deng, Xingye Chen, Taowei Li, Yidong Huizhou Power Supply Bureau Guangdong Power Grid Co Guangdong China School of Automation China University of Geosciences Wuhan China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan China Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education Wuhan China

ISBN: (纸本)9798350348279

The proportion of photovoltaic power generation in the global energy structure is increasing year by year. Because of its volatility and periodicity, grid-connected photovoltaic challenges the safe and stable operation of power grid. One of the ways to solve this problem is data mining. Data mining needs high-quality data support, and data cleaning is one of the important means to improve data quality. Aiming at the problem of poor quality of original PV data, this paper analyzes two typical outliers of PV data and proposes a PV output data cleaning method based on Density-Based Spatial Clustering of Applications with Noise (DBSCAN) clustering algorithm, quartile algorithm and Pearson correlation coefficient interpolation method. Comparison of DBSCAN clustering algorithm combined with the quartile method of outlier identification with the quartile method alone outlier identification, the effectiveness of the method proposed in this paper is verified. Then using the method proposed in this paper for outlier identification based on Pearson correlation coefficient interpolation and cubic spline interpolation to verify the data filling effect, the results show that Pearson correlation coefficient interpolation is superior to cubic spline interpolation. Finally, two sets of data with different data cleaning methods are substituted into the Long short-term memory (LSTM) Model to verify accuracy of the cleaning method proposed in this paper. © 2023 IEEE.

关键词： Data mining

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Real-time grid Impedance Identification for Synchronization Stability control in grid-following Converter 5

Real-time Grid Impedance Identification for Synchronization ...

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5th IEEE International Electrical and Energy Conference, CIEEC 2022

作者： Cheng, Liang Ye, Hua Wang, Ting Dong, Xin Li, Yanran Shandong University Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Jinan China State Grid Shandong Electric Power Co. Ltd Jinan China State Grid Jinan Power Supply Company Jinan China

ISBN: (数字)9781665411042

ISBN: (纸本)9781665411042

The synchronization instability is one of the serious problems for grid-following converter (GFL). Real-time identification of AC grid impedance enables improves the application of adaptive current injection synchronous stabilization control method in practical power systems. In this paper, a Thevenin equivalent (TE) impedance identification method using Fast Fourier Transform (FFT) analysis is proposed and applied to GFL synchronous stability control. First, according to the analysis of the static and dynamic instability mechanism of phase-locked loop (PLL), the necessity of impedance identification is explained. Then, using FFT analysis, the TE impedance of the AC system is calculated in real-time. Finally, the estimated TE parameters are used to determine the current references of GFL during the fault to ensure that no loss of synchronization (LOS) occurs in the GFL. The simulation results show that the proposed identification method can quickly track the AC grid impedance changes of system after a fault, and can be used in the adaptive current control strategy. © 2022 IEEE.

关键词： Fast Fourier transforms

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Frequency Stability Characteristics and Parameters Optimization of Isolated grids with High Proportion of New Energy and Small Hydropower

Frequency Stability Characteristics and Parameters Optimizat...

引用

Sustainable power and Energy Conference (iSPEC)

作者： Pu Qingxin He Xianqiang Chang Dongxu Li Chengxiang Zhu Yihua power dispatching control center of Guizhou Power Grid Co. Ltd Guizhou China China Southern Power Grid State Key Laboratory of HVDC Electric Power Research Institute Guangzhou China

When the regional power grid with a high proportion of new energy and small hydropower is operated in a passive isolated grid, the speed regulation parameters of internal small hydropower systems and the configurations for controlling and protecting new energy sources within isolated grids play a pivotal role in determining the stability of these isolated grids. Based on the typical cases of actual isolated power grid operation, this paper focuses on investigating the main characteristics affecting the frequency stability of the isolated grid, and constructs a typical simulation example for benchmarking multiple types of isolated grid operation scenarios; through multi-dimensional quantitative simulation comparison analysis, the proposed General principles for small hydropower grid coordination and new energy grid-related parameter optimization when regional power grids operate in isolated grids. The outcomes of this research provide substantial backing for the development of a comprehensive safety and stability control strategy tailored to the operation of isolated grids. Furthermore, these findings contribute significantly to the establishment of novel power systems and the assurance of dependable power provisioning within regional grid networks.

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Peak shaving market mechanism of captive power plants considering energy consumption characteristics of enterprises

Peak shaving market mechanism of captive power plants consid...

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2021 International Conference on power System Technology, powerCON 2021

作者： Liu, Hanghang You, Daning Cai, Yanbin Zhang, Guoqiang Wang, Hao Zhang, Li State Grid Shandong Electric Power Company Dongying Power Supply Company Dongying China State Grid Shandong Electric Power Company Power Dispatching Control Center Jinan China Shandong University Key Laboratory of Power System Intelligent Dispatch and Control Jinan China

ISBN: (纸本)9781665407373

The continuously increased renewable energy has brought tremendous pressure to the operation of power system. To enhance dispatching flexibility, it is necessary to build peak shaving market and include captive power plants in the transaction. Considering the peculiarity of captive power plants, a mechanism of captive power plants to participate in peak shaving auxiliary services market is proposed, in which the captive power plant must meet the enterprise's own demand for steam and heat when it takes part in market bidding and clearing. The mechanism is established on the basis of the provincial spot market, emphases are focused on declaration and settlement rules. Case studies show that the mechanism can make the captive power plant play its peak shaving role without affecting the production of the enterprise. Thus, the mechanism is practicable and promising in promoting the consumption of renewable energy. © 2021 IEEE.

关键词： Energy utilization

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