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

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Security and Stability Checking Method of Dispatching Plan Considering Uncertainty of New Energy 1

引用

7th Purple Mountain Forum on smart grid protection and control, PMF2022

作者： Haifeng, Zhou Licheng, Sha Qi, Pan Wei, Xu Yinghao, Li Xiaoqin, Xia Jiacheng, Liu Nanjing211106 China State Key Laboratory of Smart Grid Protection and Control Nanjing211106 China State Grid Beijing Electric Power Company Beijing100032 China

ISBN: (数字)9789819900633

ISBN: (纸本)9789819900626

The uncertainty of new energy power forecasting makes it difficult to implement the dispatching plan. Therefore, a security and stability checking method of the dispatching plan considering the uncertainty of new energy is proposed. The security and stability margin minimization calculation model considering the uncertainty constraints of new energy is established. A high-risk planning situation set that may lead to the abnormal implementation of the planning is generated based on the conservative principle. Based on the high-risk planning situation set, the security and stability of the assessment fault set are evaluated by quantitative analysis method. The security and stability check results and the implementation of the dispatching plan are obtained considering the uncertainty of the new energy power forecasting. The effectiveness of the proposed method is verified by an example of actual power grid. © State grid Electric Power Research Institute 2023.

关键词： Risk assessment

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Improved Droop control for Power grid Considering State-of-charge of Battery Energy Storage 3

Improved Droop Control for Power Grid Considering State-of-c...

引用

3rd International Conference on Electrical Engineering and control Science, IC2ECS 2023

作者： Chen, Yuge Li, Zhicheng Deng, Chaoping Zhang, Weijun Zhang, Shuling Gao, Tongtong Electric Power Research Institute State Grid Fujian Electric Power Co. Ltd Fujian Key Laboratory of Smart Grid Protection and Operation Control Fuzhou China

ISBN: (纸本)9798350382426

The constant droop coefficient (DC) in the traditional f-P and V-Q droop control is not conducive to the state-of-charge (SoC) management of the battery energy storage (BES) system. This paper proposes an improved droop control strategy (DCS) for the power grid which considers both the power frequency adjustment of the power system and the SoC management constraints of the BES. The proposed improved DCS is enabled to adjust the DC according to the SoC status of the BES. Case studies verify the effectiveness of the proposed DCS, which significantly reduces the frequency change deviation in the dynamic process of the weak power grid. © 2023 IEEE.

关键词： battery energy storage (BES) droop control frequency regulation state-of-charge

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A Coupled RTK/INS Positioning Method Based on Robust Estimation 14th

A Coupled RTK/INS Positioning Method Based on Robust Estimat...

引用

14th China Satellite Navigation Conference, CSNC 2024

作者： Yu, Huizhen Teng, Xianliang Pan, Shuguo Zhang, Min Shen, Jian Gao, Wang School of Instrument Science and Engineering Southeast University Nanjing210096 China State Key Laboratory of Smart Grid Protection and Control Nari Group Corporation Jiangsu Nanjing211106 China

ISBN: (纸本)9789819969319

In the urban environment, the positioning results of RTK/INS integrated navigation are often influenced by grosses, which degrades the positioning accuracy and damages the stability of the navigation system. To solve this dilemma, a loose coupled RTK/INS positioning method based on robust estimation is proposed. Firstly, during RTK positioning, for eliminating corrupted measurements caused by Non-Line-of-Sight (NLOS) signals and multipath, this paper researches the RTK positioning algorithm based on bifactor robust estimation. In this method, the ambiguity is fixed and solved back into the Double-Difference (DD) equation in least square model. The posterior residual vector is used for the bifactor robust processing to eliminate the influence of some abnormal observations. Then, the RTK positioning results are loosely integrated with Inertial Navigation System (INS), and the robust processing based on Huber equivalent weight function is implemented in the process of the Kalman filter update. Finally, the proposed algorithm is validated by vehicle data in a typical urban environment. The experimental results show that compared with the traditional least squares-based RTK, the accuracy of the bifactor RTK method is improved by 2.48 cm in the horizontal direction. Meanwhile, in contrast with the RTK/INS method based on the single robust processing, the accuracy of the proposed robust bifactor error method in the horizontal direction is increased by 3.85 cm. The navigation accuracy and reliability are significantly enhanced. In dynamic environment, this research has certain theoretical reference and practical value for vehicular and autonomous driving applications. © Aerospace Information Research Institute 2024.

关键词： Kalman filters

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Prediction of Day-Ahead Electricity Price Based on N-BEATSx Model Optimized by SSA Considering Coupling Between Features 1

引用

7th Purple Mountain Forum on smart grid protection and control, PMF2022

作者： Xu, Feihong Teng, Xianliang Lu, Jixiang Zheng, Tao Jin, Yulong Nanjing211106 China NARI-TECH Nanjing Control System Ltd Nanjing211106 China State Key Laboratory of Smart Grid Protection and Control Nanjing211106 China

ISBN: (数字)9789819900633

ISBN: (纸本)9789819900626

With the continuous advancement of Chinese electricity market reform, the continuous improvement of the market mechanism and the integration of a large number of new energy sources have brought great challenges to the market’s clear electricity price forecast. The new energy output, load data, and tie-line power schedule are fused to obtain an improved input feature variable, which can better reflect the electricity price trend. Then, the maximum information coefficient method (MIC) was used to analyze the correlation between each characteristic variable and electricity price, and an interpretable time series prediction model (N-BEATSx) based on neural network base expansion analysis of fusion characteristic variables was adopted. It is interpretable and can solve nonlinear forecasting problems of time series with the trend, seasonality, and significant random fluctuations. For the selection of hyperparameters in the N-BEATSx prediction model, the sparrow search algorithm (SSA) is used for optimization, the optimal grid structure hyperparameters are obtained with the minimum loss function of the validation set as the objective function. To verify the validity of the proposed model, the Shanxi Province market electricity price data is taken as an example to analyze and compare with other forecasting models, the results show that the proposed model can predict the electricity price of the day before clearing well. © State grid Electric Power Research Institute 2023.

关键词： Power markets

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Sensitivity Analysis of the Flexible Spiral Magnetic Field Energy Harvester 10

Sensitivity Analysis of the Flexible Spiral Magnetic Field E...

引用

10th International Conference on Power and Energy Systems Engineering, CPESE 2023

作者： Wang, Wei Xu, Chenjin Wang, He Su, Wenbo Ji, Zhenya Hu, Minqiang Nanjing Normal University State Key Laboratory of Smart Grid Protection and Control Nari Group Corporation Nari School of Electrical and Automation Engineering Nanjing China State Key Laboratory of Smart Grid Protection and Control Nari Group Corporation Nanjing China Nanjing Normal University Nari School of Electrical and Automation Engineering Nanjing China

ISBN: (纸本)9798350327625

The magnetic field energy harvesting has become a more suitable method for powering the monitoring sensors due to its simple energy harvesting structure, high power density, and stable energy source. However, existing magnetic field energy harvester have limitations such as restricted installation size, single application scenario, and difficulty in installation or disassembly. Motivated by the above problems, this paper proposes a flexible spiral magnetic field energy harvesting (SMFH) method, which is verified by the establishment of energy harvesting models, theoretical derivation, and simulation analysis. On this basis, a comprehensive performance analysis is performed on the number of windings, load characteristics, flexibility, weight, and non-ideal resonant state. Also, the sensitivity of the flexible SMFEH to various parameter changes is deeply analyzed. Finally, the experiments have verified the feasibility of the flexible SMFEH. © 2023 IEEE.

关键词： Energy harvesting

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Future grid Configuration of AC/DC Distribution Network Considering the Influence of Photovoltaic Permeability

Future Grid Configuration of AC/DC Distribution Network Cons...

引用

2022 International Conference on smart Energy and Electrical Engineering, SEEE 2022

作者： Ni, Jianfu Liang, Feng Zhang, Kun Yu, Zhuofei R&D Department in NARI Technology NARI Group Corporation State Key Laboratory of Smart Grid Protection and Control Nanjing China R&D Department in NARI Technology NARI Group Corporation State Key Laboratory of Smart Grid Protection and Controlline Nanjing China Tianjin China

With the implementation of China's "carbon neutral, carbon peak"dual carbon target action plan and the construction of a new power system, access to a high proportion of new energy and microgrid has changed the function and form of the distribution network. The current capacity of the distribution network to absorb a high proportion of new energy cannot fully meet the needs of future development. Through rational planning, the carrying capacity of a distribution network for new energy can be improved, operation efficiency can be improved, and expansion investment can be delayed. Therefore, based on the analysis of the current typical network architecture of the distribution network, combined with the development trend of the AC/DC distribution network and the development trend of a high proportion of new energy penetration, this paper puts forward the future architecture and network shape of the AC/DC distribution network, focusing on the short-term, long-term and cellular AC/DC distribution network shape characteristics. It also discusses the influence of Photovoltaic (PV) permeability level on the grid configuration selection of AC/DC distribution network. Finally, it discusses the problems worthy of attention in the future planning of AC/DC distribution networks. © Published under licence by IOP Publishing Ltd.

关键词： Electric power distribution

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Hybrid HVDC Transmission Line protection Method Based on Synchrosqueezing Wavelet Transform 1

引用

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

作者： Li, Xindong Dai, Wei Wu, Tonghua Teng, Xianliang Zheng, Kuncheng Hou, Xiaofan Wu, Dan State Key Laboratory of Smart Grid Protection and Control Nanjing211106 China Nanjing211106 China

ISBN: (数字)9789811671562

ISBN: (纸本)9789811671555

The electromagnetic transient simulation model of hybrid HVDC transmission system is constructed based on the Baihetan—Southern Jiangsu Hybrid MTDC Transmission Project. The theoretical and simulation analysis targeting the transmission characteristics of boundary elements to line mode voltage fault components in Hybrid DC transmission system is conducted. Accordingly, a hybrid transmission line protection method based on fault voltage transient is proposed. The high and low-frequency energy ratio in line mode voltage fault components at both ends of the line is calculated to identify the internal and external faults of hybrid HVDC transmission line. Specifically, the extraction of transient component of line mode voltage and the characterization of its high-frequency energy are completed by synchrosqueezing wavelet transform. The calculation results show that, compared with the traditional continuous wavelet transform, the synchrosqueezing wavelet transform has better time–frequency concentration. According to the simulation results, such protection method can identify the internal and external faults of the line in a quickly and reliably manner, and can reliably act in case of high resistance grounding fault. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Wavelet transforms

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Rapid Generation of DFIG Farm Equivalent Model Evaluation Scenario Based on Deep Belief Network 7

Rapid Generation of DFIG Farm Equivalent Model Evaluation Sc...

引用

7th International Conference on Power and Energy Engineering, ICPEE 2023

作者： Jiang, Hao Xu, Lixiong Cui, Xiaodan Wu, Jialong Feng, Jiaqi Liu, Yang School of Electrical Engineering Sichuan University Chengdu China State Key Laboratory of Smart Grid Protection and Control Nari Group Corporation Jiangsu Nanjing China

ISBN: (纸本)9798350381146

The protection link within the wind farm is the key link that affects the transient characteristics of the wind farm, and also has the greatest impact on the complexity of scene construction. Therefore, it is urgent to study the method that can quickly build the chopper circuit and crowbar circuit action scene during the evaluation of the equivalent model of the wind farm. In this paper, a fast generation method of wind farm protection state scenarios based on Deep Belief Network (DBN) is proposed. Firstly, characteristic quantities that affect the protection action of a single fan in a wind farm are extracted, such as terminal voltage drop (the junction voltage of a single fan is equal to the terminal voltage), wind speed, etc. Simulation is carried out on a single fan in scenarios with different characteristic quantities, and records of characteristic quantities and protection actions are put into the DBN model for training as a sample set. Through training, a DBN model which can directly and accurately generate the fan protection state according to the characteristic quantity is obtained. Then, the topological structure and line impedance information of the wind farm are obtained, and the relationship between the voltage drop at the junction point and the voltage drop at the end of each fan in the wind farm is obtained. Combined with the voltage drop at the end of each fan in the wind farm and the deep belief network model, the fan protection action scene in the wind farm can be quickly generated for equivalent model evaluation. Finally, a numerical example is given to verify the effectiveness of the proposed method. © 2023 IEEE.

关键词： Numerical methods

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Compressed Sensing Algorithm for Short Data Window in Distribution Network 1

引用

7th Purple Mountain Forum on smart grid protection and control, PMF2022

作者： Cao, Yuhan Wu, Tonghua Chen, Wei Zeng, Xiang Luo, Bing Huazhong University of Science and Technology Wuhan China State Key Laboratory of Smart Grid Protection and Control Nari Group Corporation Jiangsu Nanjing211106 China

ISBN: (数字)9789819900633

ISBN: (纸本)9789819900626

To effectively cope with the problems of surging data volume, high data acquisition cost, and congested communication transmission in distribution networks containing distributed new energy sources, this paper proposes a short data window data acquisition and intercommunication scheme based on compressed sensing theory and builds a corresponding model with the distribution network longitudinal differential protection data intercommunication process as a specific research scenario. The paper analyzes the shortcomings of the Gaussian random matrix, a universal observation matrix commonly used in traditional compressive sensing, in the distribution network, and constructs a deterministic matrix for the current signal characteristics of the distribution network to solve the problem of data reconstruction in the application of compressive sensing in the field of the power system. The problem of unstable recovery is solved. In addition, a sparse base satisfying the constrained isotropy condition is selected from the commonly used sparse bases for the constructed deterministic observation matrix, and a tracking algorithm with unbiased estimation is combined to design a targeted data compression reconstruction algorithm that can apply the compressive sensing theory to the distribution network longitudinal differential protection information intercommunication scenario in a more suitable way. This algorithm has a significant improvement in reconstruction accuracy, and the reconstruction time is short and adaptable to the real-time current signal of the distribution network. © State grid Electric Power Research Institute 2023.

关键词： Compressed sensing

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Multi-dimensional Quantitative Evaluation of Fault Transient Characteristic Accuracy of DFIG Farm Equivalent Model 5

Multi-dimensional Quantitative Evaluation of Fault Transient...

引用

5th International Conference on Electrical Engineering and control Technologies, CEECT 2023

作者： Jiang, Hao Xu, Lixiong Cui, Xiaodan Wu, Jialong Feng, Jiaqi Zheng, Zixuan Sichuan University School of Electrical Engineering Chengdu China State Key Laboratory of Smart Grid Protection and Control Nari Group Corporation Jiangsu Nanjing China

ISBN: (纸本)9798350342253

An accurate wind farm model is a crucial prerequisite to ensure that the simulation results of the power system containing wind power align with reality. Hence, it is imperative to establish a system for evaluating the accuracy of wind farm models. This paper examines the fault response characteristics of wind turbines and proposes a multi-dimensional quantitative index system for assessing the equivalency of wind farm models. The entire process can be segmented into two stages: the transient period immediately following the fault occurrence and the subsequent steady-state phase. The evaluation indexes for assessing the accuracy of wind farm models are voltage dynamic response, active power dynamic response, and reactive power dynamic response. These indexes are formulated to evaluate the equivalency of wind farm models across various stages. © 2023 IEEE.

关键词： Dynamic response

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