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Evaluation and Management of Operation state of Distribution Station Area Based on Incentive Demand Response 1

引用

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

作者： Jin, Peng Wu, Hai Hu, Guo Shen, Qian State Key Laboratory of Smart Grid Protection and Control Nari Group Corporation Jiangsu Nanjing211106 China

ISBN: (数字)9789811671562

ISBN: (纸本)9789811671555

The popularization and promotion of smart home appliances and electric vehicles represents a challenge as well as an opportunity for distribution system operators. On the one hand, these new loads will significantly increase the operating burden of the distribution area;on the other hand, the controllability of these new devices also makes it possible to meet various technical and commercial purposes through flexible solutions such as incentive demand response. Based on the massive operation data collected from electricity meters, low-voltage fault indicators, leakage protection units and other devices in the distribution station area, a fuzzy comprehensive evaluation method is proposed to manage the operation status of low-voltage circuit in distribution station area. Then the evaluation results are applied to the incentive demand response, which realizes the comprehensive management of three-phase unbalance and under-voltage of low-voltage circuit in distribution station area through reducing load. The simulation results show that the proposed strategy can quantitatively evaluate the operation status of the distribution station area, and improve the load distribution and voltage level of distribution station area significantly through utilizing incentive demand response. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Domestic appliances

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An Improved Single-Phase Fault Line Selection Method for Non-effectively Grounded System Based on Transient Energy 6th

An Improved Single-Phase Fault Line Selection Method for Non...

引用

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

作者： Xia, Lei Hu, Guo Wu, Hai Hu, Song State Key Laboratory of Smart Grid Protection and Control Nari Group Corporation Jiangsu Nanjing211106 China

ISBN: (纸本)9789811671555

The domestic distribution network is mainly non-effectively grounded system, single-phase grounding fault accounts for more than 80% of the total number of faults, the fault characteristics are not obvious and easy to be affected by noise signals, at the same time, the polarity of zero sequence voltage and current transformer is unknown or reverse connection often occurs, which makes the local fault identification and line selection more difficult, and directly affects the fault response speed and disposal efficiency. In this paper, an improved single-phase to ground fault line selection method based on transient energy is proposed. By using the energy matching degree of transient zero mode current in each interval and the polarity relationship between transient zero mode current and steady-state zero sequence current in this interval, the existing fault line selection methods are easy to be affected by the polarity of external mutual inductors, and the polarity of mutual inductors can’t be checked online in the fault process. The physical concept of the method is clear, and the criterion threshold is not affected by the grounding mode and fault location of the system. RTDS simulation experiment and field engineering application verify the effectiveness and universality of the proposed fault line selection method. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Electric grounding

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The Analysis of AC Faults in AC/DC Hybrid Distribution System with SOP 1

引用

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

作者： Jin, Peng Wu, Tonghua Wu, Hai Hu, Guo Shen, Qian NARI Group Co. Ltd. State Key Laboratory of Smart Grid Protection and Operation Control Nanjing211000 China School of Automation Nanjing University of Science and Technology Nanjing210094 China

ISBN: (数字)9789819900633

ISBN: (纸本)9789819900626

AC/DC hybrid distribution system becomes increasingly necessary for integration of distributed renewable energy resources (DER) and management of carbon emissions. However, the fault characteristics of AC/DC hybrid power distribution network are vastly different from traditional AC distribution system for their varied structures. Considering the strong capability in controlling power flow and fault current of soft open point (SOP), this paper establishes the model of AC fault sequence network of hybrid distribution system with SOP, in which positive and negative separation control strategy is adopted by the converter. The model includes traditional AC equivalent network, DC equivalent network, back-to-back converter and its control system, based on which the AC fault characteristics in AC/DC hybrid distribution system are analyzed. Through utilizing PSCAD/EMTDC, different simulation scenarios are carried out to verify the effectiveness of AC fault modeling and analysis method of AC/DC hybrid power distribution system with SOP, thus providing a theoretical basis for AC side protection scheme of AC/DC hybrid system. © state grid Electric Power Research Institute 2023.

关键词： Electric load flow

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Transient Stability Analysis of Paralleled grid-Forming Converters 3

Transient Stability Analysis of Paralleled Grid-Forming Conv...

引用

3rd International Conference on Energy, Power and Electrical Engineering, EPEE 2023

作者： Yang, Kexin Bao, Yanhong Wu, Feng Ren, Xiancheng Zhang, Jinlong Nanjing Normal University Nari Technology Co. Ltd. Nanjing China Nari Technology Co. Ltd. State Key Laboratory of Smart Grid Protection and Control Nanjing China

ISBN: (纸本)9798350318180

Interaction exists in multiple grid-forming converter parallel systems, resulting in different transient stability issues between multiple converter systems and single converter under large disturbances. During the current limiting period, the external characteristics of the grid-forming converter become current source, which causes three different external characteristic models of parallel converter. In this study, three models of parallel system were established, and the effect of different coupling power directions was analyzed based on the power angle curve. Further, the influence of different parameters of converter was discussed and three different cases of converter transient stability due to interaction was revealed. The interaction between converters is mainly determined by the coupling power direction. When the external characteristics of the converters are the same, the coupling power direction is mainly determined by the power angle. When the external characteristics are different, the coupling power direction is determined by the current limiting strategy. The correctness of the theoretical analysis was verified based on the PSCAD platform. © 2023 IEEE.

关键词： current limiting equal area criterion grid-forming converter paralleled system transient stability

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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...

引用

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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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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Influence Analysis of control Parameters on Transient Stability of Single-loop Voltage-Magnitude controlled grid-Forming Converter 6

Influence Analysis of Control Parameters on Transient Stabil...

引用

6th Asia Conference on Energy and Electrical Engineering, ACEEE 2023

作者： Yang, Kexin Bao, Yanhong Ren, Xiancheng Wu, Feng Zhang, Jinlong Nanjing Normal University NARI Technology Co. Ltd. Nanjing China State Key Laboratory of Smart Grid Protection and Control NARI Technology Co. Ltd. Nanjing China

ISBN: (纸本)9798350312690

With the gradual increase in the proportion of new energy generation, grid-forming control with dynamic regulation and support capability of frequency and voltage has become a research hotspot. However, the current-limiting control of the converter reduces the transient stability margin and leads to the complex evolution of the transient instability mode, which poses a great challenge to the stable operation of new energy units. In this paper, the influence of different current limiting strategies on the transient stability of the single-loop voltage-magnitude controlled grid-forming converter is analyzed, and three typical instability evolution modes are summarized. Further, the influence law of virtual inertia and damping parameters on the transient stability is analyzed by critical clearing angle (CCA), and critical clearing time (CCT), the mechanism of abnormal phenomena of virtual inertia and damping parameters on transient stability is revealed based on the equal area criterion, and the conditions for abnormal phenomena are clarified, finally, the transient instability evolution modes and the mechanism of abnormal phenomena is verified by electromagnetic transient time domain simulation. © 2023 IEEE.

关键词： Stability

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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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DC operating circuit anomaly detection based on node voltage unsupervised time series 2

DC operating circuit anomaly detection based on node voltage...

引用

2nd International Conference on New Energy and Power Engineering, ICNEPE 2022

作者： Zhang, Shen Qi Yuan, Wei Yi, Ran Chen, Li State Grid NanTongPower Supply Company Jiangsu NanTong226000 China NARI Technology Nanjing Control Systems Co. Ltd Jiangsu Nanjing211106 China State Key Laboratory of Smart Grid Protection and Control Nari Group Corporation Jiangsu Nanjing211106 China

With the increase in power system load, the number of switch cabinets increases rapidly, and the accidents caused by DC operating circuits become more and more obvious. Abnormal detection has become an important part of the DC operating circuit. Abnormal data, mainly voltage measurement, often contain important information. Finding and analyzing these abnormal data can give early warning for circuit failure or failure. However, abnormal data is often difficult to obtain and lacks marks, that is, the problem of sample imbalance and unsupervised problems, resulting in abnormal detection methods that can not meet the increasing accuracy and efficiency requirements. Generative adversarial network (GAN) is an unsupervised deep learning model, which has been successfully applied to unsupervised time series anomaly detection. However, GAN has technical difficulties in the anomaly detection process, and there is still room for optimization in accuracy. In this paper, the unsupervised time series anomaly detection method based on GAN is studied, and an anomaly detection method of a DC operating circuit combined with LSTM and GAN is designed. © Published under licence by IOP Publishing Ltd.

关键词： Generative adversarial networks

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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...

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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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