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

共 546 条记录，以下是41-50 订阅

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Ground Circulating Current Suppression of Flexible Interconnection System of Distribution Station Area based on Three-Phase Four-Leg Converter

Ground Circulating Current Suppression of Flexible Interconn...

引用

2023 International Conference on Power Energy Systems and Applications, ICoPESA 2023

作者： Zeng, Xiaoming Wang, Zhigang Nari Group Corporation State Grid Electric Power Reasearch Insitute State Key Laboratory of Smart Grid Protection and Control Nanjing China

ISBN: (纸本)9798350345605

Flexible interconnection of low-voltage distribution station area with power electronic device can realize dynamic capacity increase and coordination. When three-phase four-leg converter is used as a flexible interconnection device, there is no need to the isolation transformer, which can reduce the volume and cost of the system, but it will generate circulating current on the ground line. According to the main circuit topology of the system, the average circuit model of ground circulating current is established, and the influencing factors of ground circulating current are deduced. The low-frequency circulating current suppression strategy based on the average duty cycle control of the fourth leg and the high-frequency circulating current suppression method based on the DC side common mode inductor are proposed respectively for the low frequency and high frequency components of the ground circulating current. Finally, the simulation results show the effectiveness of the proposed average circuit model and the suppression method. © 2023 IEEE.

关键词： Topology

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Digital Management and Application Platform for Security and Stability control Devices

Digital Management and Application Platform for Security and...

引用

2023 Panda Forum on Power and Energy, PandaFPE 2023

作者： Shen, Fengjie Xu, Jianbing Hou, Yuqiang Zhao, Kang State Key Laboratory of Smart Grid Protection and Control Nanjing China State Grid Shandong Electric Power Research Institute Jinan China

ISBN: (纸本)9798350321173

The management of massive security and stability control devices (SSCD) configured for power grids is relatively decentralized, and there is an urgent need for refinement and intensification. Focusing on the purpose of improving the reliability level of SSCD, and referring to the power grid digitization work plan, this paper constructs a digital management and application platform for SSCDs based on 'running on the cloud platform+localization'. First, it introduces the platform positioning and overall framework, and then elaborates the business functions such as device management, version management, test management, evaluation and decision-making. This achieves digital management and reliability test evaluation of mass SSCDs, also improves the reliability level of SSCDs. Finally, illustrates the actual application effect of this platform in a laboratory. © 2023 IEEE.

关键词： Big data

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Research on intelligent evaluation model of transient stability based on K-means grouping 5

Research on intelligent evaluation model of transient stabil...

引用

5th IEEE International Electrical and Energy Conference, CIEEC 2022

作者： Ren, Xiancheng Zhang, Yin Wu, Feng Yuan, Huling Zhang, Jinlong Chang, Haijun Nari Technology Co. Ltd. State Key Laboratory of Smart Grid Protection and Control Nanjing China

ISBN: (数字)9781665411042

ISBN: (纸本)9781665411042

In a large number of actual power system operation scenarios, the transient instability scenarios are far smaller than the stable operation scenarios. In the case of imbalanced samples, the rapid transient stability assessment based on machine learning will lead to the learning algorithm preferring to the majority of classes with more samples, thus causing the problem of missing judgment for the transient instability scenarios. This paper proposes an under-sampling method for grouping majority class samples based on K-means. Under the constraint that the proportion of stable samples and unstable samples meets certain conditions, the majority of class stable samples are grouped with the center sample and the sample nearest to the center sample as initial values, and the K-means algorithm is adopted. By regrouping the samples of the majority class successively, multiple training sample subsets composed of unstable samples and multiple groups of stable samples are finally formed. Model training is performed for each training sample set, and the evaluation model of the new mode is judged by the comprehensive distance from the unstable center sample and the stable center sample of each sample subset, and then the transient stability judgment is carried out, so as to improve the accuracy of rapid evaluation under the unbalanced condition of training samples. The effectiveness of the proposed method is verified by an actual power grid example. © 2022 IEEE.

关键词： Learning algorithms

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A Hybrid Simulation Study of the Herding Behavior Effects in the China National Carbon Market 5

A Hybrid Simulation Study of the Herding Behavior Effects in...

引用

5th IEEE Conference on Energy Internet and Energy System Integration, EI2 2021

作者： Chen, Xuetong Huang, Jie Jin, Shuai Zhang, Yifei Ling, HengYu NARI Technology Co. Ltd. State Key Laboratory of Smart Grid Protection and Control Nanjing China

ISBN: (纸本)9781665434256

Mitigating climate change is a global consensus. C hina is aiming to have carbon emissions peak before 2030 and ac hieve carbon neutrality before 2060. The China national carbon market is one of the key measures to achieve this ambitious "30 •60" target. Compliance enterprises, financial institutions, and i ndividual investors are allowed to participate in the national car bon market and the complex trading interactions among these h eterogeneous participants will make the market dynamics diffic ult to predict and analyze, bringing challenges to market design and regulations. Guided by the framework of cyber-physical-soc ial system in energy (CPSSE), this paper constructs a hybrid si mulation environment based on the Dynamic Simulation platfor m for Macro-Energy Systems (DSMES), in order to study the he rding behavior effects on carbon market under different scenari o settings. The behavior models of different carbon traders such as compliance enterprises, offset developers and financial instit utions are analyzed and constructed. Then, the herding behavio reffects are studied under different market scenario settings sue has the supply of carbon emission allowance (CEA) and carbon offset credits (COC). Finally, key insights are discussed based o nmulti-scenario case studies, which provide decision support fo rmarket design and regulation. © 2021 IEEE

关键词： Climate change

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Marginal Unit Location Method Based on Dual Simplex Sensitivity Analysis 1

引用

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

作者： Zhang, Yantao Chang, Li Cao, Rongzhang Wang, Wen Zang, Zhendong Wu, Shuomin Jiangsu Nanjing211106 China State Key Laboratory of Smart Grid Protection and Control Jiangsu Nanjing211106 China

ISBN: (数字)9789819900633

ISBN: (纸本)9789819900626

With the continuous settlement and trial operation in the domestic power spot market, the price volatility analysis scenarios of the LMP widely used by power spot pilot provinces have gradually increased, and the real-time nature has gradually increased. Since LMP is affected by many factors, and different factors are coupled with each other, it is impossible to quickly and accurately analyze the reasons for node price fluctuations and pricing units. Therefore, combined with the domestic spot market clearing and pricing two-stage optimization strategy and the mature dual simplex theory, a marginal unit location method based on dual simplex sensitivity analysis is proposed. The method supports different scenarios such as unit independent pricing, unit, and constraint slack variable joint pricing, etc. The rationality of the positioning method is verified by the PJM 5 node and practical example. The results show that the method is universal and has been applied to several spot pilots. © state grid Electric Power Research Institute 2023.

关键词： Sensitivity analysis

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National Carbon Market Supply Demand Balance Analysis Based on Unit Level Heterogeneous Characteristic Modeling 11

National Carbon Market Supply Demand Balance Analysis Based ...

引用

11th International Conference on Innovative smart grid Technologies - Asia, ISGT-Asia 2022

作者： Lai, Yening Zhang, Yifei Huang, Jie Chen, Xuetong NARI Technology Co. Ltd. State Key Laboratory of Smart Grid Protection and Control Nanjing China

ISBN: (纸本)9798350399660

The national carbon market is the major market mechanism supporting China's '30•60' target. This market involves natural sciences, such as energy technology and climate science, and social sciences, such as politics and economics related to energy economy, policy, and human behavior. This makes the carbon market a typical cyber-physical-social system in energy (CPSSE). This paper focuses on modeling objective physical parameters associated with market participants. The paper proposes a model and value assignment method for unit-level heterogeneous parameters and constructs a unit-level dataset of national carbon market participants. The influences of the heterogeneous levels of different parameters on the micro supply-demand balance are then evaluated. The study details the quantitative influences of the proportion of units without key parameter measurements and the shape of the distribution of the units' coal consumption rates. This study establishes a unit-level model and parameter foundation for conducting a national carbon market hybrid simulation. © 2022 IEEE.

关键词： Carbon

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Comparison and improvement of key feature selection methods for intelligent assessment of transient power angle stability 5

Comparison and improvement of key feature selection methods ...

引用

5th IEEE International Electrical and Energy Conference, CIEEC 2022

作者： Zhang, Yin Xu, Taishan Ren, Xiancheng Bao, Yanhong Wu, Feng Zhang, Jinlong Nari Technology Co. Ltd. State Key Laboratory of Smart Grid Protection and Control Nanjing China

ISBN: (数字)9781665411042

ISBN: (纸本)9781665411042

key feature selection is of great significance for intelligent assessment of transient power angle stability of power system. This paper proposes a key feature selection method for improved Relief. Through analyzing and comparing the applicability of correlation coefficient, mutual information and Relief, three representative key feature selection methods, in the intelligent assessment of transient angle stability of power system, the applicability of Relief is better. The Relief index reflects the strength of the feature to classify transient power angle stability and instability. By eliminating redundancy and increasing the weight of unstable samples, the accuracy of index calculation and the ability to adapt to sample imbalance are improved. Based on improved Relief, feature is selected by iterative optimization, which can automatically screen out the optimal key feature set. The effectiveness of the method is verified by an example of power grid. © 2022 IEEE.

关键词： Transients

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Frequency Regulation Potential Evaluation of Temperature-controlled Load Aggregators Considering Demand Response Willingness 6

Frequency Regulation Potential Evaluation of Temperature-Con...

引用

6th IEEE Conference on Energy Internet and Energy System Integration, EI2 2022

作者： Yu, Jie Yang, Jiaqi Ding, Qia Tu, Mengfu Ji, Weixi Southeast University Electrical Engineering Nanjing China State Key Laboratory of Smart Grid Protection and Control Nanjing China

ISBN: (纸本)9798350347159

The frequency regulation potential of temperature-controlled load aggregators means that, the total load reduction that all the aggregated temperature-controlled load users can participate in the frequency regulation. User demand response willingness refers to the willingness of users to adjust electricity consumption according to the price of electricity sales to provide demand response based on their own demand response elasticity. This paper establishes a user demand response willingness model including two parts of electricity cost change and temperature change, which is used to characterize the relationship between user frequency regulation potential and electricity price;then proposes a time series chained two-dimensional cloud generator algorithm for the willingness model to predict the temperature-controlled load operating state in the temperature-controlled load, and finally establish a two-layer model to optimize the frequency regulation potential of the temperature-controlled load aggregator, with the frequency regulation potential as the solution variable. The effectiveness of the algorithm and the model are verified through calculation examples, and sensitivity analysis is carried out. © 2022 IEEE.

关键词： Sensitivity analysis

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Deep-Learning Based Reactive Voltage control of Regional Power grids Integrated with Renewable Energy Resources 7th

Deep-Learning Based Reactive Voltage Control of Regional Pow...

引用

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

作者： Wang, Haozhe Lu, Jixiang Zhang, Tao Chen, Jianhua Tang, Ningkai Shu, Jiao Jiangsu Nanjing211106 China State Key Laboratory of Smart Grid Protection and Control Jiangsu Nanjing211106 China

ISBN: (纸本)9789819900626

With the increasing penetration rate of distributed renewable energy and more complexity of grid, it is essential to keep a secure voltage profile for the safety, stability and economy of the power system. A reactive voltage control approach in regional power grid is proposed in this paper, which can provide online decisions without the requirement of the model and parameters. The proposed approach enhances the ability to rapidly restore the voltage back to normal after severe system disturbances. Furthermore, to regulate voltage profiles and reduce shunt operations, an LSTM based reactive voltage control model is also proposed by considering transformers and capacitors. A case of a regional power grid in Jiangsu is studied to verify the proposed scheme. The experimental results show the capability and efficiency of the proposed scheme. In contrast to traditional methods, our approach improves the accuracy of the control strategy by prediction model meanwhile limiting the action times of control devices. © state grid Electric Power Research Institute 2023.

关键词： Renewable energy

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A Practical Method for Generating Day-Ahead Output Probabilistic Scenarios of Multiple Wind Farms Based on K-Shape Clustering 13

A Practical Method for Generating Day-Ahead Output Probabili...

引用

13th International Conference on Power and Energy Systems, ICPES 2023

作者： Bo, Lin Xu, Taishan Tu, Mengfu Lu, Jinjun Nari Group Co. Ltd. State Key Laboratory of Smart Grid Protection and Control Nanjing China

ISBN: (纸本)9798350345063

The volatility and uncertainty of wind power bring severe challenges to the power system, and the modeling of multi-wind farm output scenarios considering the uncertainty of wind power is of great significance in power system dispatching decision-making. Especially for area/ province with abundant wind power resources, where the reliability of the dispatching plan can be strongly affected by the volatility of large amount of wind power. In this paper, a practical method of generating probabilistic scenarios for day-ahead wind power output is proposed for provincial power grid with high proportion of wind power. Firstly, the K-Shape clustering algorithm is used to cluster the wind farm stations, and then the output scenario are generated by using the total wind power forecast value and forecast error probability distribution characteristics of each aggregated station. After arrangement and combination of the aggregated stations' scenes, the scenario minimization based on probability distance was conducted for clustering reduction to obtain the typical output scenes, and then the typical output scenes were assigned to each station according to the forecast value of the station to obtain the probability output scenes of each station. It is verified by actual power grid data that the scenarios generated by this method can combine with wind power predictions to well depict the random fluctuation of multi-wind farms output and has a good application prospect in the practice of day-ahead dispatching decision making. © 2023 IEEE.

关键词： Stochastic programming

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