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检索条件"机构=State Key Laboratory Of Smart Grid Protection And Control"

共 544 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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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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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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key Feature Selection Method for Intelligent Assessment of Transient Power Angle Stability based on Physical Mechanism and Improved Relief

Key Feature Selection Method for Intelligent Assessment of T...

引用

2022 Power System and Green Energy Conference, PSGEC 2022

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

ISBN: (数字)9781665499934

ISBN: (纸本)9781665499934

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 combining physical mechanism and improved Relief. 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. Through the combination of physical mechanism and improved Relief, the key feature quantities reflecting the stability of transient angle can be comprehensively selected by iterative optimization, and the problem of missing selection of key feature parameters under complex transient stability can be solved. The effectiveness of the method is verified by an actual power grid example. © 2022 IEEE.

关键词： Transients

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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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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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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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Leakage flux-based method to identify the inrush current in transformers 12

Leakage flux-based method to identify the inrush current in ...

引用

12th International Conference on Measuring Technology and Mechatronics Automation, ICMTMA 2020

作者： Zheng, Yu-Ping Zhang, Zhen-Ya Wu, Chong-Hao Pan, Shu-Yan Li, Zhou NARI Technology Co. Ltd State Key Laboratory of Smart Grid Protection and Control Nanjing211106 China

ISBN: (纸本)9781728170817

Inrush current occurrence in the power transformers is an unavoidable event that can happen due to energizing no-load transformer. Although various protection methods based on the terminal current and/or voltage have been proposed for transformer protection, the protection malfunction caused by the inrush current still occurs occasionally. In this paper, By comparing different closing angles of transformers with normal condition and differences in leakage flux near the yoke, a simple and accurate method is presented to identify transformer inrush current conditions. The change of the flux density on the leakage flux sensor can effectively identify the transformer inrush current. This identification method has been initially verified in the simulation in Maxwell. © 2020 IEEE.

关键词： Power transformers

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Real-Time Transaction Prediction Method Based on Generalized Tie-Line 1

引用

International Top-Level Forum on Engineering Science and Technology Development Strategy and 5th PURPLE MOUNTAIN FORUM on smart grid protection and control, PMF2020

作者： Zhang, Yantao Jiang, Jingxiao Tu, Mengfu Xu, Fan Wang, Wen Nanjing Jiangsu211106 China State Key Laboratory of Smart Grid Protection and Control Nanjing Jiangsu211106 China

ISBN: (数字)9789811597466

ISBN: (纸本)9789811597459

In order to cope with the rapid development of renewable energy in the Northwest Power grid, it is an urgent need to predict the renewable energy consumption capacity and transaction needs of the provinces, and promote the timely consumption of renewable energy within and between provinces. Therefore, this paper proposes a real-time transaction prediction method based on the generalized tie-line. Based on the definition of generalized tie lines, a multi-objective optimization model is established. The optimization objectives include positive and negative reserve of the provincial power grid and generalized positive and negative reserve of the main and sub-control areas. The method analyzes the power transmission and reception capacity and power transmission and reception needs of the main and sub-control areas in the next few hours, calculates the power purchase and sales capacity among the provinces, and automatically generates intra-provincial replacement and inter-provincial transaction plan based on the transaction rule library to enhance the intelligence level of renewable energy consumption in the Northwest Power grid. © 2021, Springer Nature Singapore Pte Ltd.

关键词： Forecasting

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Quantitative Intelligent Evaluation of Transient Power Angle Stability based on Cluster Grouping

Quantitative Intelligent Evaluation of Transient Power Angle...

引用

2022 Power System and Green Energy Conference, PSGEC 2022

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

ISBN: (数字)9781665499934

ISBN: (纸本)9781665499934

Aiming at the problem that it is difficult to achieve the quantitative evaluation of transient power angle stability based on artificial intelligence, a quantitative intelligent evaluation method of transient power angle stability based on cluster grouping is proposed. Firstly, the key features of transient power angle stability are selected by the method of comprehensive physical mechanism and data mining. According to the difference requirement parameters of the key features of the train samples, the similar samples are minimized and clustered into groups. The center sample of each group is determined based on the comprehensive minimum of the stable mode difference index. Based on each group of center samples, a transient power angle stability margin estimation model is established and parameters are optimized by linear programming. Determine the effective group to which the new mode belongs by the effective mode distance of each group of samples. Use the model corresponding to each effective group to estimate the margin of the new mode, and take the minimum value of the estimated margin of all effective groups as the estimated value of the transient stability margin of the new mode to realize quantitative intelligent evaluation of transient power angle stability. The effectiveness of the proposed method is verified by an example of power grid. © 2022 IEEE.

关键词： Transients

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