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

共 531 条记录，以下是61-70 订阅

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An Assessment Method for the Contribution of Electrochemical Energy Storage to the FM Auxiliary Service Market

An Assessment Method for the Contribution of Electrochemical...

引用

2022 Asian Conference on Frontiers of power and Energy, ACFPE 2022

作者： Xiong, Jiali Chen, Dawei Li, Zhicheng Zhang, Weijun Cai, Qiang Dai, Liyu Chao, Wujie Electric Power Research Institute State Grid Fujian Electric Power Co. Ltd Fujian Key Laboratory of Smart Grid Protection and Operation Control Fujian China

ISBN: (数字)9781665470841

ISBN: (纸本)9781665470841

This paper proposes an evaluation method for energy storage (ESS) to participate in the FM auxiliary service market. The Area control Error is used as an influencing variable reflecting the FM effect of ESS, the correlation between 'FM power of ESS' and 'Area control Error' is established, and the FM effect value of ESS on Area control Error is obtained, eventually constructing an index to measure the FM contribution of ESS. Analyze the distribution of the FM contribution index of ESS based on confidence level, determining the contribution and economic benefits of energy storage in the FM market. Measure and calculate based on the actual operation data of a provincial power grid, this method can measure the FM contribution of ESS, providing a reference for the investment in ESS and development of mechanisms for participating in FM auxiliary service. © 2022 IEEE.

关键词： Investments

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A Generic grid-forming control Structure for Modular Multilevel Converters

A Generic Grid-forming Control Structure for Modular Multile...

引用

2023 power Electronics and power System Conference, PEPSC 2023

作者： Yang, Renxin Shi, Gang Liu, Qi Cai, Xu State Grid Smart Grid Research Institute Co. Ltd. State Key Laboratory of Advanced Power Transmission Technology Beijing China Shanghai Jiao Tong University Key Laboratory of Control of Power Transmission and Conversion Shanghai China

ISBN: (纸本)9798350341294

The grid-forming control is recognized as an effective method to cope with the power grid stability problems with high renewable power penetration. The application of grid-forming control in modular multilevel converter-based high-voltage direct-current (MMC-HVDC) transmission systems is a promising trend. However, the MMC usually needs to switch between different control modes, such as DC voltage control, active power control, AC voltage control, etc. Conventional grid-forming control structures are hard to meet the above requirements. To solve this problem, a generic grid-forming control structure is proposed in this paper. The stored energy in the submodule capacitors of the MMC is utilized to construct the grid-synchronization mechanism. On this basis, a multi-variable control structure is applied on the DC side, making it easy to switch between different operation modes. Finally, simulation results in PSCAD/EMTDC show the effectiveness of the proposed control structure. © 2023 IEEE.

关键词： power converters

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Capacitor Voltage Balancing Strategy Based on Zero-Sequence Voltage Injection for Half-Wave Commutated Modular Multilevel Converter 10

Capacitor Voltage Balancing Strategy Based on Zero-Sequence ...

引用

10th IEEE International power Electronics and Motion control Conference, IPEMC 2024 ECCE Asia

作者： Fu, Nan Liu, Bao Xu, Yunfei Zhu, Sitong Wang, Kui Li, Yongdong Tsinghua University State Key Laboratory of Control and Simulation of Power System and Generation Equipment Department of Electrical Engineering Beijing100084 China State Grid Smart Grid Research Institute Co. Ltd State Key Laboratory of Advanced Power Transmission Technology Changping Beijing China Electric Power Research Institute of State Grid Liaoning Electric Power Co. Ltd. Shenyang110000 China

ISBN: (纸本)9798350351330

Half-wave commutated modular multilevel converter (HWC-MMC) is suitable for high-voltage large-capacity AC-AC conversion, and an appropriate capacitor voltage balancing strategy is essential. This paper analyzes the condition of capacitor voltage balancing and proposes a capacitor voltage balancing strategy based on optimal zero-sequence voltage injection using the model predictive control. Finally, the simulation is carried out to verify the proposed strategy. © 2024 IEEE.

关键词： Model predictive control

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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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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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Converter Recovery Strategy to Reduce the Commutation Failure Risk of Capacitor Commuted HVDC Transmission System 6th

Converter Recovery Strategy to Reduce the Commutation Failur...

引用

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

作者： Pan, Yue Li, Wei Wang, Yu Lei, Jie Zhu, Ling Liu, Qianwei Nanjing China State Grid Corporation of China Beijing China State Key Laboratory of Smart Grid Protection and Control Nanjng China

ISBN: (纸本)9789811671555

Commutation failure is an important factor affecting the grid-connected safety of LCC DC systems. The Capacitor Commutated Converter (CCC) is used to improve the ability of DC to resist commutation failure, but it also introduces new problems. In this paper, firstly, the recovery characteristics of the CCC converter in the AC asymmetric fault scenario is analyzed, based on which, a "capacitor bypass-parallel grounding" fault recovery strategy is proposed. This strategy can reduce the risk of commutation failure during AC fault period and accelerate the speed of the power recovery after the fault cleaning, so as to reduce the impact of the fault on the system. Base on Cigre_Benchmark electromagnetic transient model, CCC HVDC system has been verified in simulation experiments. The proposed strategy can effectively reduce the number of commutation failures, the duration of commutation failures and the loss of active power. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： HVDC power transmission

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Identification Methods for Transformer Turn-to-Turn Faults and Inrush Current Based on Electrical Information

Identification Methods for Transformer Turn-to-Turn Faults a...

引用

2021 International Conference on Intelligent power and Systems, ICIPS 2021

作者： Gong, Xinyi Zheng, Yuping Pan, Shuyan Wu, Chonghao Deng, Jinzhao NARI Research Institute NARI Group Corporation State Grid Electric Power Research Institute Nanjing China State Key Laboratory of Smart Grid Protection and Control China

power transformer is the most imperative and crucial equipment in electrical power system. Accurately monitoring the occurrence of transformer faults and rapidly isolating the faults are of great significance to ensure the reliability of power supply and avoid serious damage to the transformer. There are many methods used in the transformer to monitor transformer running state. This paper provides a comprehensive overview of transformer turn-to-turn fault and inrush current identification methods based on electrical information, and expounds the systematic research content that needs to be carried out for transformer turn-to-turn fault identification methods based on magnetic flux leakage information. © Published under licence by IOP Publishing Ltd.

关键词： power transformers

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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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