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

共 394 条记录，以下是61-70 订阅

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Assessment of Static Voltage Stability Margin for Power Systems with Causal Decomposition and Reverse Feature-Enhanced Temporal Convolutional Networks

Assessment of Static Voltage Stability Margin for Power Syst...

引用

IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC)

作者： Haifeng Zhou Xianyu Zha Qi Pan Naishuang Li Jiabin Zhang Jiacheng Liu State Key Laboratory of Smart Grid Protection and Operation Control NARI Group Corporation (China Electric Power Research Institute) Nanjing China

ISBN: (数字)9798350386127

ISBN: (纸本)9798350386134

Rapid and accurate static voltage stability assessment is crucial for the safe operation of large-scale interconnected power grids. Existing methods have failed to effectively filter key input variables in massive measurement data, limiting assessment accuracy. This study proposes an assessment method based on causal decomposition and reverse feature-enhanced temporal convolution networks. Initially, using bottom-layer measurement data as input, key variables are selected through causal decomposition, reducing the original feature set and enhancing computational efficiency. Subsequently, a reverse feature-enhanced temporal convolution model is constructed to fully mine data characteristics and achieve high precision assessment. Validation in an improved four-machine two-area simulation system demonstrates that this method significantly enhances estimation accuracy and algorithm performance while reducing the dimensionality of original variables.

关键词： Adaptation models Accuracy Correlation Convolution Power system stability Predictive models Feature extraction Stability analysis Data models Convolutional neural networks

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Transient Performance Optimization of grid Forming Converter 6

Transient Performance Optimization of Grid Forming Converter

引用

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

作者： Wang, Sichao Li, Chunpeng Yang, Yuexi Han, Congda Zhang, Hanbin Huang, Junwei State Grid Smart Grid Research Institute Co. Ltd. State Key Laboratory of Advanced Power Transmission Technology Beijing China State Grid Fujian Electric Power Research Institute Fujian Key Laboratory of Protection and Operation Contorl for Smart Grid Fuzhou China

ISBN: (纸本)9798350347159

With the increased penetration of renewable energy sources (RES), the power system is emerging a lower inertial characteristic. This can lead to a higher rate-of-change of frequency (RoCoF) and the voltage instability issue during grid disturbance conditions, thus threatening the security of the power grid. Accordingly, researchers have recently proposed a novel grid-forming (GFM) control strategy. Compared to the traditional grid-following (GFL) control method, the GFM control can emulate the dynamic behaviors of the synchronous generator (SG), inherently providing inertial support to stabilize the grid frequency and transient AC voltage. However, it may lead to abnormal transient stress, such as over/under DC voltage and AC overcurrent, raising the risk of unexpected tripping. The paper will present the operating principles of multiple types of GFM and GFL control strategies, and evaluate their dynamic performance during the grid voltage variation events. To address the issue of transient stress, the paper will propose a novel control strategy for suppressing the over/under DC voltage and AC overcurrent so that prevented disconnection of the GFM converters. The proposed method is validated with an example of PV generation scenario, and the effectiveness in improving the dynamic performance has been demonstrated by studying the frequency variation cases. © 2022 IEEE.

关键词： Transients

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

Quantitative Intelligent Evaluation of Transient Power Angle...

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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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Remote closed-loop test method of safety and stability control system based on step-by-step implementation 2

Remote closed-loop test method of safety and stability contr...

引用

2nd International Conference on Digital Society and Intelligent Systems, DSInS 2022

作者： Zhao, Wei Hou, Yuqiang Chen, Xiong Xue, Feng Chen, Wei Chen, Luofei Nanjing211106 China State Key Laboratory of Smart Grid Protection and Control Nanjing211106 China PONOVO Power Co. Ltd. Beijing100000 China

ISBN: (纸本)9781510663244

The safe operation of the safety stability control system is an important means to ensure the safe and stable operation of AC and DC power grids. Aiming at the shortage of existing test methods that cannot perform closed-loop testing of field safety stability control systems, a remote closed-loop test method for safety stability control systems based on step-by-step implementation is proposed. Using the simulation results of real-time digital simulation system (RTDS) as the signal source, a remote test platform architecture integrating laboratory and field safety and stability control devices is designed, key modules such as platform management system, test master and test terminal are developed, specific solutions are given for platform communication, and a remote closed-loop test procedure is formulated. Finally, a pilot application is carried out with an actual power grid security and stability control system as an example, and the effectiveness of the proposed method is verified. © 2023 SPIE.

关键词： Real time systems

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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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The Risk of Cyber Security for Power Stability control System and Its Test Platform 4

The Risk of Cyber Security for Power Stability Control Syste...

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4th IEEE International Conference on Power, Intelligent Computing and Systems, ICPICS 2022

作者： Tong, Heqin Xu, Jianbing Zhang, Liquan Liang, Shizhe Mai, Cheng Ding, Weidong Hu, Kunxuan State Grid Electric Power Research Institute State Key Laboratory of Smart Grid Protection and Control Nanjing China State Grid Electric Power Research Institute Nanjing China

ISBN: (数字)9781665467735

ISBN: (纸本)9781665467735

With the development of the smart grid and cross-regional power stability control technology, communication system and the infrastructure of power system combines together to become a coupled system. Thus, the cyber-attack on the communication and information system may cause serious threat on the power system. So, in this paper, a cyber-security test platform for the power stability control system is proposed and built. By this test platform, the cyber security can be tested and analyzed, and the ability to resist cyber-attacks can be evaluated. In this paper, the structure of communication network for the power stability control system and its cyber security risk is analyzed;then, the cyber security test platform for the power stability control system is proposed, and the structure, test items and the implementation scheme of the test platform is provided;finally, we use an operating typical power stability control system as the test case to evaluate the applicability of the test platform and provide some advantages of this platform. © 2022 IEEE.

关键词： Cyber attacks

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