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2021 IEEE Sustainable Power and Energy Conference, iSPEC 2021

作者： Xie, Dongliang Wang, Cai Xue, Yusheng Lai, Yening Zhang, Zheng Cai, Linjun Song, Xiaofang Zhang, Huilin Yu, Chen State Key Laboratory of Smart Grid Protection and Control Nanjing China

ISBN: (纸本)9781665414395

Traditional power grids for volatility, uncertainty, usually set a pro rata sufficient spare margin, but when the new energy grid capacity increases, if the volatility is so great, this 'one size fits all' decision is often expensive, too high thermal power start-up and even result in waste of resources. Therefore, based on the study of the multi-scale flexibility control measures of source network load storage, this paper puts forward the operation planning algorithm to reduce the total operation control risk effectively by coordinating and lowering the backup measures. Synergy with the value of various flexible resources in short-term operation planning to prevent and control the risk of wind, light and power outages in power systems, to achieve flexible operation planning. Finally, through the study, the algorithm proposed in this paper is verified that the algorithm can solve the problem of risk prevention and control in operation planning more economically and safely under the condition of large-scale grid-connected new energy. © 2021 IEEE.

关键词： Electric power transmission networks

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A Risk-Averse Just-In-Time Scheme for Learning-Based Operation of Microgrids With Coupled Electricity-Hydrogen-Ammonia Under Uncertainties

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IEEE Transactions on Sustainable Energy 2025年

作者： Li, Longyan Ning, Chao Pan, Guangsheng Zhang, Leiqi Gu, Wei Zhao, Liang Du, Wenli Shahidehpour, Mohammad Shanghai Jiao Tong University Department of Automation Shanghai200240 China Ministry of Education of China Key Laboratory of System Control and Information Processing Shanghai200240 China School of Electrical Engineering Southeast University Nanjing210096 China Zhejiang Key Laboratory of Distributed Generations and Microgrid Technology State Grid Zhejiang Electric Power Research Institute Hangzhou310014 China Key Laboratory of Smart Manufacturing in Energy Chemical Process Ministry of Education East China University of Science and Technology China Department of Electrical and Computer Engineering Illinois Institute of Technology ChicagoIL60616 United States

This paper proposes a Risk-Averse Just-In-Time (RAJIT) operation scheme for Ammonia-Hydrogen-based Micro-grids (AHMGs) to boost electricity-hydrogen-ammonia coupling under uncertainties. First, an off-grid AHMG model is developed, featuring a novel multi-mode ammonia synthesis process and a hydrogen-ammonia dual gas turbine with tunable feed-in ratios. Subsequently, a state-behavior mapping strategy linking hydrogen storage levels with the operation modes of ammonia synthesis is established to prevent cost-ineffective shutdowns. The proposed model substantially improves operational flexibility but results in a challenging nonlinear fractional program. Based upon this model, a data-driven RAJIT scheme is developed for the real-time rolling optimization of AHMGs. Unlike conventional one-size-fits-all schemes using one optimization method throughout, the data-driven RAJIT intelligently switches between cost-effective deterministic optimization and risk-averse online-learning distributionally robust optimization depending on actual risk profiles, thus capitalizing on the respective strengths of these two optimization methods. To facilitate the solution of the resulting nonlinear program, we develop an equivalent-reformulation-based solution methodology by leveraging a constraint-tightening technique. Numerical simulations demonstrate that the proposed scheme guarantees safety and yields an overall cost reduction up to 14.6% compared with several state-of-the-art methods. © 2025 IEEE.

关键词： Ammonia

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High-impedance Fault Section Location for Distribution Networks Based on t-distributed Stochastic Neighbor Embedding and Variable Mode Decomposition

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Journal of Modern Power Systems and Clean Energy 2024年第5期12卷 1495-1505页

作者： Zhihua Yin Yuping Zheng Zhinong Wei Guoqiang Sun Sheng Chen Haixiang Zang the College of Energy and Electrical Engineering Hohai UniversityNanjing 210098China State Key Laboratory of Smart Grid Protection and Control NARI Group CorporationNanjing 211106China

When high-impedance faults(HIFs)occur in resonant grounded distribution networks,the current that flows is extremely weak,and the noise interference caused by the distribution network operation and the sampling error of the measurement devices further masks the fault ***,locating a fault section with high sensitivity is *** existing technologies,this study presents a novel fault feature identification framework that addresses this *** framework includes three key steps:(1)utilizing the variable mode decomposition(VMD)method to denoise the fault transient zero-sequence current(TZSC);(2)employing a manifold learning algorithm based on t-distributed stochastic neighbor embedding(t-SNE)to further reduce the redundant information of the TZSC after denoising and to visualize fault information in high-dimensional 2D space;and(3)classifying the signal of each measurement point based on the fuzzy clustering method and combining the network topology structure to determine the fault section *** simulations and field testing confirm that the proposed method accurately detects the fault location,even under the influence of strong noise interference.

关键词： High-impedance fault noise interference fault section location t-distributed stochastic neighbor embedding(t-SNE) transient zero-sequence current

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

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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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Empirical Study of the Influence of AC/DC Touch Fault on Transformer Differential protection 1

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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： Gu, Qiaogen Lv, Hang Zhang, Xiaoyu Cheng, Lulu Cheng, Xiao State Key Laboratory of Smart Grid Protection and Control Nanjing211106 China

ISBN: (数字)9789811597466

ISBN: (纸本)9789811597459

In practical engineering, the cross and crossing of AC and DC lines are more common at present. The communication lines are complex, especially in the South. With many DC projects, the cross over phenomenon of AC and DC in the China Southern Power grid is more obvious. This paper is based on the practical PSCAD simulation model of Jin-Zhong converter station, built a simulation model of AC and DC concomitant systems, and selecte 220 kV and 500 kV communication systems as typical scenarios for analysis by simulation of metal touch faults outside the AC transformer protection range. According to the simulation waveform, The characteristic analysis results of transformer differential protection are given in the end. © 2021, Springer Nature Singapore Pte Ltd.

关键词： Transformer protection

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Research on DC protection Strategy in Multi-Terminal Hybrid HVDC System

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Engineering 2021年第8期7卷 1064-1075页

作者： Yuping Zheng Jiawei He Bin Li Tonghua Wua Wei Dai Ye Li State Key Laboratory of Smart Grid Protection and Control State Grid Electric Power Research Institute(NARI Group Corporation)Nanjing 211106China Key Laboratory of Smart Grid of Ministry of Education Tianjin UniversityTianjin 300072China College of Energy and Electrical Engineering Hohai UniversityNanjing 210098China

Multi-terminal hybrid high-voltage direct current(HVDC)systems have been developed quickly in recent years in power transmission ***,for voltage-source converter(VSC)stations in hybrid HVDC systems,no direct current(DC)filters are *** addition,the DC reactor is also not installed at the line end because the DC fault can be limited by the converter *** means that the boundary element at the line end is absent,and the single-ended protections used in line commutated converter(LCC)based HVDC(LCC-HVDC)systems or VSC-HVDC systems cannot distinguish the fault line in multi-terminal hybrid HVDC *** paper proposes a novel singleended DC protection strategy suitable for the multi-terminal hybrid HVDC system,which mainly applies the transient information and active injection concept to detect and distinguish the fault *** with the single-ended protections used in LCC-HVDC and VSC-HVDC systems,the proposed protection strategy is not dependent on the line boundary element and is thus suitable for the multiterminal hybrid HVDC *** corresponding simulation cases based on power systems computer aided design(PSCAD)/electromagnetic transients including DC(EMTDC)are carried out to verify the superiority of the proposed protection.

关键词： Multi-terminal hybrid HVDC system Single-ended protection Transient information Active injection

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Assessment of Static Voltage Stability Margin for Power Systems with Causal Decomposition and Reverse Feature-Enhanced Temporal Convolutional Networks 16

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

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

作者： Zhou, Haifeng Zha, Xianyu Pan, Qi Li, Naishuang Zhang, Jiabin Liu, Jiacheng State Key Laboratory of Smart Grid Protection and Operation Control Nanjing China

ISBN: (纸本)9798350386127

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. © 2024 IEEE.

关键词： causal decomposition data-driven influencing factor analysis static voltage stability margin temporal convolutional network

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Remote Attestation for Intelligent Electronic Devices in smart grid Based on Trusted Level Measurement

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Chinese Journal of Electronics 2020年第3期29卷 437-446页

作者： WANG Yong LI Jun'e CHEN Xiong LIN Hai YU Fajiang LUO Jianbo Key Laboratory of Aerospace Information Security and Trusted Computing Ministry of EducationSchool of Cyber Science and Engineering Wuhan University NARI Group Corporation State Grid Electric Power Research Institute NARI Technology Co.Ltd. State Key Laboratory of Smart Grid Protection and Control

To reduce the implementation complexity and excessive overhead caused by remote attestation,we propose a new remote attestation scheme based on trusted level measurement considering the limited system resources of the Intelligent electronic devices(IEDs) in smart grid. In this scheme, a lightweight trusted level measurement mechanism is designed, and a new dynamic weighted multi-classifier integration method based on Binary tree Support vector machine(BT-SVM) is proposed. The trusted level of configuration information and running state of an IED are measured through trusted third party. The measurement parameters and attestation period are dynamically adjusted according to different trusted levels of an IED, so that reducing computational overhead and communication delays in remote attestation process. Analysis and experiments show that the proposed scheme can enhance the security of IEDs in smart grid by occupying a small amount of computation and communication resources.

关键词： smart grid Intelligent electronic devices(IEDs) Remote attestation Trusted level measurement

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Research on Communication Schemes for Digital-Physical Hybrid Simulation of the SSCS 6

Research on Communication Schemes for Digital-Physical Hybri...

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

作者： Liu, Qitao Xu, Jianbing Xu, Haibo Ding, Zhao Li, Manli Ren, Jinhua Yin, Zhaoyang NARI Technology Co. Ltd State Key Laboratory of Smart Grid Protection and Control Nanjing China State Key Laboratory of Smart Grid Protection and Control School of Electrical of Engineering Nanjing China

ISBN: (纸本)9798350347159

SSCS plays the essential role in power grid operation to ensure the control reliability and effectivity. Due to the power system becomes more complex, it is inevitable to improve the simulation technology for SSCS. Thus, a digital-physical hybrid simulation platform for SSCS is required. In this paper, the requirements of the digital-physical hybrid simulation platform are analyzed and focus on the design of communication schemes for digital-physical hybrid simulation. IEC61850 and Aurora based communication technical roadmaps are proposed for the communication between RTDS and DSSCHP. Also, two options are available for the communication between SSCDs and DSSCHP. © 2022 IEEE.

关键词： Simulation platform

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Research on Chinese Word Segmentation Algorithm based on Dictionary and Statistical Method and Its Application in the field of Power grid control

Research on Chinese Word Segmentation Algorithm based on Dic...

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2022 Global Conference on Robotics, Artificial Intelligence and Information Technology, GCRAIT 2022

作者： Shen, Chao Dai, Jinxia Mao, Mengge Zhao, Kun Yan, Zhen Huang, Kun NanJing China State Key Laboratory of Smart Grid Protection and Control NanJing China

ISBN: (数字)9781665481922

ISBN: (纸本)9781665481922

In view of the particularity of Chinese word segmentation in the professional field of power grid regulation, the performance of Chinese word segmentation based on traditional statistical algorithm is frequently limited by the corpus training in the proprietary field, and the insufficient ability of Chinese word segmentation based on dictionary algorithm in identifying new words and disambiguation in the proprietary field. This paper proposes a Chinese word segmentation method based on the combination of dictionary and statistical method, and applies it to the application scenario of querying the operation status of power grid. This method constructs a professional dictionary in the field of power grid regulation by using the Double-Array Tree storage structure. Then using the CRF(Conditional Random Fields) train the text data to generate the model file, and the FMM(Forward Maximum Matching) method is used for Chinese word segmentation combined with the professional dictionary in the field of power grid regulation. A fast and accurate online word segmentation method in the field of power grid regulation is designed and implemented, it performs well in some main performance indexes. In the application scenario of querying the power grid operation status, the Chinese word segmentation results obtained by this method combined with the standard query sentence pattern realize the rapid classification of application scenario query and the accurate execution of operation commands, greatly improve the efficiency and accuracy of querying the power grid operation status, and improve the human-computer interaction experience. © 2022 IEEE.

关键词： Digital storage

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