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Review on Optimization of Nuclear Power Development:A Cyber-Physical-Social System in Energy Perspective

Journal of Modern Power Systems and Clean Energy 2022年第3期10卷 547-561页

作者： Xinxin Yang Bin Cai Yusheng Xue School of Electrical Engineering Southeast UniversityNanjingChina State Grid Electric Power Research Institute(NARI Group Corporation) NanjingChina State Key Laboratory of Smart Grid Protection and Operation Control NanjingChina

Nuclear power development is a complex issue spanning cyber,physical,and social systems that is essential to achieving energy security and climate *** the ongoing worldwide trend towards carbon neutrality,the positioning of nuclear power in energy mix should be *** paper aims to present a systematic review of current research on optimization of nuclear power *** concept of cyber-physical-social system in energy(CPSSE)is adopted,which provides a suitable perspective and enables the review of relevant studies to achieve some novel *** on the CPSSE,firstly,a research framework is established and the main research elements in optimization are identified,followed by a proposed conceptual risk-based optimization ***,current studies are analyzed and classified into four categories according to the research *** status quo and limitations are *** is found that the research results of nuclear-specific issues have not been well integrated into the optimization of nuclear *** a relatively reliable power supply,nuclear power is capable of maintaining power and electricity adequacy of the whole system,especially in the case of power shortage caused by long-period low output of renewable energy or extreme external *** superiority should not be ignored in the *** critical factors that should be further considered include disruptive technologies,nuclear safety,energy policies,and stakeholder ***,suggestions are given for future research.

关键词： Carbon emission carbon neutrality cyber-physical-social system in energy(CPSSE) comprehensive evaluation dynamic interactive hybrid simulation energy transition multi-objective optimization

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Comparison of Adaptive Virtual Impedance Coefficient to Suppress Power Oscillation in Multi-VSG grids 16

Comparison of Adaptive Virtual Impedance Coefficient to Supp...

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16th IEEE PES Asia-Pacific Power and Energy Engineering Conference, APPEEC 2024

作者： Ji, Jie Li, Xingshuo Ding, Shuye Chen, Yizhi School of Electrical and Automation Engineering Nanjing Normal University Nanjing China Nari Group Corporation State Key Laboratory of Smart Grid Protection and Control Nanjing China

ISBN: (纸本)9798350386127

The virtual synchronous generator(VSG) technology offers inertia support but also introduces active power oscillation, which are more serious when in multi-VSG. The previous studies proposed adaptive virtual impedance aimed at suppressing power oscillation in multi-VSG system. However, further research is still needed to thoroughly examine the adaptive virtual impedance coefficient. In this article, how the power oscillation of multi-VSG to be influenced by adaptive virtual impedance coefficient is investigated. Firstly, an analysis is conducted on the active power oscillation mechanism. Subsequently, the variation law of adaptive virtual impedance coefficient affecting active power oscillation is studied. Finally, The effects of different adaptive virtual impedance coefficient values is compared in simulations and experiment. © 2024 IEEE.

关键词： Synchronous generators

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An Feature Data Extraction Method Based on BPCA-SPCA

An Feature Data Extraction Method Based on BPCA-SPCA

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2024 IEEE International Conference on Sensing, Diagnostics, Prognostics, and control, SDPC 2024

作者： Xing, Xiangyu Yan, Bingrong Su, Yan Tang, Lingyun College of Civil Aviation Nanjing University of Aeronautics and Astronautics Nanjing China State Key Laboratory of Smart Grid Protection and Control Nari Group Corporation Nanjing China

ISBN: (纸本)9798350388855

With the increasing integration of systems and the rapid development of sensor monitoring technology, the types of monitoring data are more diverse and the number of samples are larger in flight test and operation than before. Due to the large volume and high complexity of monitoring data, the system fault diagnosis and prediction based on monitoring data is inefficient. In order to solve the problem of monitoring data redundancy, a feature extraction algorithm based on BPCA-SPCA is proposed. A system with high failure rate is selected as an example to extract the features of the system monitoring data and realize the verification of data sparseness. The experimental results show that based on BPCA-SPCA the principal components extracted monitoring data can effectively express the features of the original data, and the feature sparse vector can provide effective input information for subsequent fault diagnosis and indirectly improve the efficiency of fault diagnosis. © 2024 IEEE.

关键词： BPCA monitoring data.feature extraction SPCA

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A Fault Ranging Method Applicable for the Four-Terminal Lines 7th

A Fault Ranging Method Applicable for the Four-Terminal Line...

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

作者： Yu, Hong Sun, Liangkai Wu, Tonghua Wang, Xiaohong Yang, Pingyi Jiang, Yuan NARI Group Corporation Jiangsu Nanjing211106 China State Key Laboratory of Smart Grid Protection and Control Jiangsu Nanjing211106 China

ISBN: (纸本)9789819900626

With the rapid development of new energy resources and the economic consideration for the construction of the grid, the four-terminal and above lines are being used more and more, but subject to technical and other conditions, the fault ranging of the current multi-terminal line is mostly single-terminal ranging achieved by distance protection, which has large errors when a single-phase ground fault occurs via transition resistance. In this paper, a double-terminal data ranging method is introduced for multi-terminal line faults based on the combined sequence component. First, the fault section selection is performed by the combined sequence component bucking voltage algorithm. Then the fault ranging is performed based on the fault section selection results with the analog information collected at the first end of the faulty branch and the virtual analog information at the nearest T-point of the branch. After theoretical analysis and RTDS simulation experiments, it is verified that the above fault ranging methods can accurately range the multi-terminal line faults under various conditions of line faults. © state grid Electric Power Research Institute 2023.

关键词： Energy resources

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Evaluation Methods for the Degree of Interaction and Coupling between New Energy and DC

Evaluation Methods for the Degree of Interaction and Couplin...

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7th International Conference on Electronics Technology, ICET 2024

作者： Xuelian, Wu Fusuo, Liu Zhaowei, Li Hongli, Zhang Yening, Lai Nari Group Corporation State grid electric power research institute Power Grid Analysis and Consulting Department Nanjing China Nari Group Corporation State grid electric power research institute State Key Laboratory of Smart Grid Protection and control Nanjing China

ISBN: (纸本)9798350363951

The high proportion of new energy connected to multi-infeed direct current power system may cause large-scale new energy to enter low voltage ride-through and multiple DC commutation failures under severe grounding faults, and the interactive coupling effect may affect the subsequent recovery process. In response to this phenomenon, interactive indicators are proposed to evaluate the risk of simultaneous faults between DC and new energy during grounding faults, as well as coupling indicators to evaluate the risk of secondary faults during the recovery process of DC and new energy after grounding faults are cleared. Simulation analysis based on actual power grids shows that this indicator can evaluate the interactive coupling process between new energy low voltage ride-through and DC commutation failure intuitively. © 2024 IEEE.

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A quantitative evaluation method for the performance of primary frequency regulation of system resources

A quantitative evaluation method for the performance of prim...

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7th International Conference on Electronics Technology, ICET 2024

作者： Xuelian, Wu Fusuo, Liu Hui, Huang Hongli, Zhang Wei, Li Nari Group Corporation State Grid Electric Power Research Institute Power Grid Analysis and Consulting Department Nanjing China Nari Group Corporation State Grid Electric Power Research Institute State Key Laboratory of Smart Grid Protection and control Nanjing China

ISBN: (纸本)9798350363951

With large scale new energy power being connected to the grid, the frequency support capability of the system decreases gradually. In order to meet the regulation requirements of system frequency stability and lay the foundation for frequency stability coordination and optimization control, it is necessary to use reasonable quantitative evaluation indicators for primary frequency regulation performance. Firstly, the dynamic response characteristics of frequency modulation resources in load fluctuation scenarios and large power disturbance scenarios are analyzed separately. Then, by mastering the frequency response characteristics of the system considering primary frequency regulation in different scenarios, the key factors affecting the safety and stability characteristics of the system frequency are determined. Finally, a quantitative evaluation method for the primary frequency regulation performance of frequency modulation resources is proposed, and the applicability of the proposed evaluation method is verified based on typical scenario examples. © 2024 IEEE.

关键词： Frequency stability

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Distributed Continuation Power Flow for High Penetration New Energy Power grid 6

Distributed Continuation Power Flow for High Penetration New...

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6th International Conference on Power and Energy Technology, ICPET 2024

作者： Dai, Zemei Chen, Tianhua Tang, Yi Zhao, Jinquan State Key Laboratory of Smart Grid Protection and Control NARI Group Corporation State Grid Electric Power Research Institute Nanjing China College of Power and Electrical Engineering Hohai University Nanjing China

ISBN: (纸本)9798350375855

The high penetration of new energy integration into the power grid has highlighted the problem of voltage stability. Continuation Power Flow (CPF) is an important tool for Voltage Stability Analysis (VSA). As the scale of new energy grid integration continues to expand, the method of power equivalent modeling of the aggregated grid in the main transmission network fails due to the neglect of the network structure and new energy models. This paper proposes a distributed voltage stability assessment method for high proportion new energy grids based on Distributed Continuation Power Flow (DCPF). The proposed method decomposes the global grid at the Point of Common Coupling (PCC) into new energy Sub-grids (SGs) and the transmission Main-grid (MG), achieving distributed computation of global grid voltage stability assessment by exchanging state information at the PCC between MG and SGs. Simulation results of the global power system show that the proposed method is effective. © 2024 IEEE.

关键词： Power grids

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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...

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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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Research and Application of Data on Demand Penetration Retrieval Based on DL/T860CMS Standard 8

Research and Application of Data on Demand Penetration Retri...

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8th International Conference on Energy System, Electricity, and Power, ESEP 2023

作者： Zeng, Jincheng Tan, Zhijun He, Mingyi Tian, Hui Gong, Shaoqi Wu, Yongyi Nari Group Corporation State Grid Electric Power Research Institute Nanjing211106 China Nari Technology Co. Ltd. Nanjing211106 China State Key Laboratory of Smart Grid Protection and Control Nanjing211106 China

ISBN: (数字)9781510679801

ISBN: (纸本)9781510679795

To address the continuous growth of equipment scale and the number of measurement points in autonomous and controllable intelligent substations, while existing data collection strategies, equipment modeling methods, and data transmission dimensions cannot meet the requirements of panoramic monitoring and deep data mining analysis for the new-generation of substation centralized monitoring system, this paper proposes a data penetration and retrieval method based on DL/T860 CMS standard. This article introduces the background and technical advantages of the DL/T860 CMS standard, as well as the overall process of on-demand access. It also designs the overall architecture, and discusses in detail the key technologies involved in file access, dynamic dataset access, and remote process *** application results of on-site operation of multiple centralized control systems in Jiangsu, Shandong, Anhui, and other provinces show that on-demand penetration and retrieval services provide reliable technical support for centralized monitoring of substations, effectively improving the monitoring level of the centralized control system regarding the primary and auxiliary equipment of the substation. © 2024 SPIE.

关键词： Data mining

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A Coupled RTK/INS Positioning Method Based on Robust Estimation 14th

A Coupled RTK/INS Positioning Method Based on Robust Estimat...

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14th China Satellite Navigation Conference, CSNC 2024

作者： Yu, Huizhen Teng, Xianliang Pan, Shuguo Zhang, Min Shen, Jian Gao, Wang School of Instrument Science and Engineering Southeast University Nanjing210096 China State Key Laboratory of Smart Grid Protection and Control Nari Group Corporation Jiangsu Nanjing211106 China

ISBN: (纸本)9789819969319

In the urban environment, the positioning results of RTK/INS integrated navigation are often influenced by grosses, which degrades the positioning accuracy and damages the stability of the navigation system. To solve this dilemma, a loose coupled RTK/INS positioning method based on robust estimation is proposed. Firstly, during RTK positioning, for eliminating corrupted measurements caused by Non-Line-of-Sight (NLOS) signals and multipath, this paper researches the RTK positioning algorithm based on bifactor robust estimation. In this method, the ambiguity is fixed and solved back into the Double-Difference (DD) equation in least square model. The posterior residual vector is used for the bifactor robust processing to eliminate the influence of some abnormal observations. Then, the RTK positioning results are loosely integrated with Inertial Navigation System (INS), and the robust processing based on Huber equivalent weight function is implemented in the process of the Kalman filter update. Finally, the proposed algorithm is validated by vehicle data in a typical urban environment. The experimental results show that compared with the traditional least squares-based RTK, the accuracy of the bifactor RTK method is improved by 2.48 cm in the horizontal direction. Meanwhile, in contrast with the RTK/INS method based on the single robust processing, the accuracy of the proposed robust bifactor error method in the horizontal direction is increased by 3.85 cm. The navigation accuracy and reliability are significantly enhanced. In dynamic environment, this research has certain theoretical reference and practical value for vehicular and autonomous driving applications. © Aerospace Information Research Institute 2024.

关键词： Kalman filters

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