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2019 IEEE PES Innovative Smart grid Technologies Asia, ISGT 2019

作者： Xue, Yusheng Zhu, Xueqiong Li, Ze NARI Group Corporation State Grid Electric Power Research Institute China State Key Laboratory of Smart Grid Protection and Control Nanjing China School of Electrical Engineering Southeast University Nanjing China

ISBN: (纸本)9781728135205

Study the influence of generator-tripping time on transient stability is of great significance for guiding the setting of the optimal generator-tripping time. Based on the extended equal area criterion (EEAC), the paper points out that the generator-tripping operation affects transient power angle stability margin of the system by changing the equivalent electromagnetic power, the equivalent mapping rotor angle and its corresponding energy accumulation interval, and clarifies accordingly the paths of generator-tripping time affects transient power angle stability margin. For the first swing of angle instability of the Hamiltonian system, the complex influences of generator-tripping time on the control effect are revealed. As generator-tripping time increases, the transient power angle stability margin may present an evolution situation that first increases and then decreases, and reaches a maximum value when generator-tripping time equals to the fault clearing time, and may also present decreases monotonically. The analysis conclusions are verified by simulation experiments. © 2019 IEEE.

关键词： Transients

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Concept and Research Framework for Coordinated Situation Awareness and Active Defense of Cyber-physical Power Systems Against Cyber-attacks

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Journal of Modern Power Systems and Clean Energy 2021年第3期9卷 477-484页

作者： Ming Ni Manli Li Jun’e Li Yingjun Wu Qi Wang the NARI Group Corporation(State Grid Electric Power Research Institute) NARI Technology Co.Ltd.and the State Key Laboratory of Smart Grid Protection and ControlNanjing 211106China the School of Cyber Science and Engineering Wuhan Universityand the Key Laboratory of Aerospace Information Security and Trusted Computing of the Ministry of EducationWuhan 430072China the College of Energy and Electrical Engineering Hohai UniversityNanjing 211100China the School of Electrical Engineering Southeast UniversityNanjing 210096China

Due to the tight coupling between the cyber and physical sides of a cyber-physical power system(CPPS),the safe and reliable operation of CPPSs is being increasingly impacted by cyber *** situation poses a challenge to traditional security defense systems,which considers the threat from only one side,i.e.,cyber or *** cope with cyberattacks,this paper reaches beyond the traditional one-side security defense systems and proposes the concept of cyber-physical coordinated situation awareness and active defense to improve the ability of *** example of a regional frequency control system is used to show the validness and potential of this ***,the research framework is presented for studying and implementing this ***,key technologies for cyber-physical coordinated situation awareness and active defense against cyber-attacks are introduced.

关键词： Cyber-physical power system(CPPS) cyber security cyber-attack situation awareness active defense

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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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Power Flow Optimization of Intelligent Distribution Network with Distributed Energy Resources

Power Flow Optimization of Intelligent Distribution Network ...

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2019 IEEE PES Innovative Smart grid Technologies Asia, ISGT 2019

作者： Gu, Xuenan Xu, Xi Yu, Zhipeng Huang, Sujuan Lu, Bin NARI Group Corporation State Grid Electric Power Research Institute Nanjing China State Key Laboratory of Smart Protection and Control China Southeast University Nanjing China

ISBN: (纸本)9781728135205

With the increasing penetration of distributed energy resources in distribution network, it is necessary to strengthen the research on optimal power flow control of intelligent distribution network. Aiming at the characteristics of distributed energy resources decentralized access in intelligent distribution network, a zonal collaborative control structure of intelligent distribution network based on multi-agent system (MAS) theory is designed. An optimal power flow model of the intelligent distribution network is established, which aims at minimizing the cost of power consumers, voltage deviation and power losses. The intelligent single particle algorithm is used to optimize power flow in the intelligent distribution network. The distribution system of the intelligent distribution network laboratory is analyzed to verify the effectiveness of the model and the algorithm. © 2019 IEEE.

关键词： Multi agent systems

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A Synchronization Stability Enhancement control Method for 100% Converter-based System Based on An Improved Kuramoto Model 5

A Synchronization Stability Enhancement Control Method for 1...

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5th IEEE International Electrical and Energy Conference, CIEEC 2022

作者： Zou, Yan Wang, Zhen Li, Zhicheng Xiong, Jiali Deng, Chaoping Cai, Qiang Zhejiang University School of Electrical Engeerning Hangzhou China State Grid Fujian Electric Power Research Institute Fujian Key Laboratory of Protection and Operation Control for Smart Grid Fuzhou China

ISBN: (数字)9781665411042

ISBN: (纸本)9781665411042

In this paper, a synchronization stability enhancement control method is developed to improve the stability performance of power systems with 100% converter-based renewable generation. An improved Kuramoto-type model is established with a time-variable power injection taken into consideration, which can represent load and/or generation variation. Then a consensus tracking controller (CTC) to help all generators to trace a reference bus with specified common frequency rapidly is developed. A group of new synchronization conditions and the attraction region based on the improved Kuramoto-type model are then derived. Further, a control gain design scheme for CTC is proposed based on the two derived stability rules, i.e., the phase angle cohesiveness and the frequency bounded. Finally, a modified three-machine nine-bus system is used to validate the effectiveness of the proposed method and a comparison study result show that the transient stability performance of 100% power-converter system can be greatly improved. © 2022 IEEE.

关键词： Synchronization

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Source-Load Joint Probability Prediction Based on Transformer Model 5

Source-Load Joint Probability Prediction Based on Transforme...

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5th IEEE International Conference on Artificial Intelligence and Big Data, ICAIBD 2022

作者： Hu, Pingzhao Shan, Xin Hu, Diangang Fu, Jiayu Wang, Chen Zhang, Kaifeng Southeast University Key Laboratory of Measurement and Control of Cse Ministry of Education Nanjing China Co. Ltd. State Grid Nari Technology Co. Ltd. State Key Laboratory of Smart Grid Protection and Operation Control Nanjing China State Grid Gansu Electric Power Co. Ltd. Gansu China

ISBN: (纸本)9781665499132

Renewable energy power generation prediction, including wind and photovoltaic power prediction, is usually performed separately from load prediction, while there are significant internal relationships between renewable energy power generation and load consumption. Therefore, exploring the relationship between source and load, and implementing sourceload joint prediction may improve the accuracy of source-load prediction simultaneously. This paper proposes a source-load joint probability prediction method, PCMDT (Probability-CNN-Multi-Decoder-Transformer), based on Transformer model. Firstly, we analyzed the possible aspects of the relationship between renewable energy and load. Then the CMDT(CNN-Multi-Decoder-Transformer) model was used to realize the point prediction of renewable energy power generation and load power. Next, the conditional quantile was obtained by optimizing the quantile loss function (Pinball Loss) to realize the joint probability prediction of source and load. Finally, the model was tested on a public state-level dataset. Comparing the results of source-load joint prediction with non-joint prediction, the proposed model can improve the accuracy of renewable energy and load prediction. © 2022 IEEE.

关键词： Forecasting

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Compressed Sensing Algorithm for Short Data Window in Distribution Network 1

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

作者： Cao, Yuhan Wu, Tonghua Chen, Wei Zeng, Xiang Luo, Bing Huazhong University of Science and Technology Wuhan China State Key Laboratory of Smart Grid Protection and Control Nari Group Corporation Jiangsu Nanjing211106 China

ISBN: (数字)9789819900633

ISBN: (纸本)9789819900626

To effectively cope with the problems of surging data volume, high data acquisition cost, and congested communication transmission in distribution networks containing distributed new energy sources, this paper proposes a short data window data acquisition and intercommunication scheme based on compressed sensing theory and builds a corresponding model with the distribution network longitudinal differential protection data intercommunication process as a specific research scenario. The paper analyzes the shortcomings of the Gaussian random matrix, a universal observation matrix commonly used in traditional compressive sensing, in the distribution network, and constructs a deterministic matrix for the current signal characteristics of the distribution network to solve the problem of data reconstruction in the application of compressive sensing in the field of the power system. The problem of unstable recovery is solved. In addition, a sparse base satisfying the constrained isotropy condition is selected from the commonly used sparse bases for the constructed deterministic observation matrix, and a tracking algorithm with unbiased estimation is combined to design a targeted data compression reconstruction algorithm that can apply the compressive sensing theory to the distribution network longitudinal differential protection information intercommunication scenario in a more suitable way. This algorithm has a significant improvement in reconstruction accuracy, and the reconstruction time is short and adaptable to the real-time current signal of the distribution network. © state grid Electric Power Research Institute 2023.

关键词： Compressed sensing

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Developing Characteristics of Oil-immersed Transformer Internal Fault with Dignostic Method Using Convergence Patterns of Free Gas 2

Developing Characteristics of Oil-immersed Transformer Inter...

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2nd IEEE China International Youth Conference on Electrical Engineering, CIYCEE 2021

作者： Zhang, Yucheng Hao, Zhiguo Zheng, Yuping Pan, Shuyan Li, Boyu Xue, Zhongxin Deng, Jinzhao Xi'An Jiaotong University School of Electrical Engineering Xi'an712000 China State Key Laboratory of Smart Grid Protection and Operation Control Nanjing210000 China

ISBN: (纸本)9781665400640

Light gas protection only operates when gas within the transformer collection chamber reaches threshold volume. Such criterion failed to reflect transformer conditions accurately due to the lack of understanding for defect developing process and corresponding gas generation- convergence pattern, which has led to lower protection reliability and has caused several transformer explosions. To address current problem, an experimental tank with structure resembling that of a power transformer is set up, inside which the needle-plate oil-pressboard breakdown model is planted. Experimental results indicate that throughout fault development, voltage drops became more frequent until arcing occurs, so is HFCT signal;meanwhile gas generation rate increases through slight partial discharge, spark discharge and arcing stage, the collected gas volume corresponds with patterns above. The purpose of this study is to clarify the defect developing process and the gas generation-convergence pattern for oil-immersed transformer internal fault in guidance for a more reliable protection method. © 2021 IEEE.

关键词： Partial discharges

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Rapid Generation of DFIG Farm Equivalent Model Evaluation Scenario Based on Deep Belief Network 7

Rapid Generation of DFIG Farm Equivalent Model Evaluation Sc...

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7th International Conference on Power and Energy Engineering, ICPEE 2023

作者： Jiang, Hao Xu, Lixiong Cui, Xiaodan Wu, Jialong Feng, Jiaqi Liu, Yang School of Electrical Engineering Sichuan University Chengdu China State Key Laboratory of Smart Grid Protection and Control Nari Group Corporation Jiangsu Nanjing China

ISBN: (纸本)9798350381146

The protection link within the wind farm is the key link that affects the transient characteristics of the wind farm, and also has the greatest impact on the complexity of scene construction. Therefore, it is urgent to study the method that can quickly build the chopper circuit and crowbar circuit action scene during the evaluation of the equivalent model of the wind farm. In this paper, a fast generation method of wind farm protection state scenarios based on Deep Belief Network (DBN) is proposed. Firstly, characteristic quantities that affect the protection action of a single fan in a wind farm are extracted, such as terminal voltage drop (the junction voltage of a single fan is equal to the terminal voltage), wind speed, etc. Simulation is carried out on a single fan in scenarios with different characteristic quantities, and records of characteristic quantities and protection actions are put into the DBN model for training as a sample set. Through training, a DBN model which can directly and accurately generate the fan protection state according to the characteristic quantity is obtained. Then, the topological structure and line impedance information of the wind farm are obtained, and the relationship between the voltage drop at the junction point and the voltage drop at the end of each fan in the wind farm is obtained. Combined with the voltage drop at the end of each fan in the wind farm and the deep belief network model, the fan protection action scene in the wind farm can be quickly generated for equivalent model evaluation. Finally, a numerical example is given to verify the effectiveness of the proposed method. © 2023 IEEE.

关键词： Numerical methods

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Power cycling method of power semiconductor devices based on mission profiles 1

Power cycling method of power semiconductor devices based on...

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1st IEEE International Power Electronics and Application Symposium, PEAS 2021

作者： Zhang, Jin Wang, Jianpeng Zhang, Zhenjun Wang, Laili Liu, Yi Wu, Yuwei Xi'An Jiaotong University Department of Electrical Engineering Xi'an China Nari Group Corporation State Key Laboratory of Smart Grid Protection And Control Nanjing China

ISBN: (纸本)9781665413596

With the wide application of power semiconductor devices in severe working conditions, the reliability and lifetime estimation of power semiconductor devices have become the research hotspot. Power cycling test is a significant method to study the reliability issues. This paper first analyzes the existing methods and then proposes a new power cycling method which considers not only realistic electrical conditions but also the thermal stress from different regions. Firstly, rainflow algorithm is used to extract the temperature cycles with large amplitude. Next, the junction temperature cycles and case temperature cycles are matched using integer programming algorithm and modified by means of equivalent substitution. At the same time, a method to control the case temperature and the junction temperature simultaneously is proposed. Afterwards, modified rainflow reconstruction algorithm is used to combine these matched cycles to temperature arrays. Finally, test load profile is formed. An electric vehicle motor drive system based on the Worldwide Harmonized Light Vehicle Test Procedure mission profile is used to verify the proposed method. This method can simultaneously stress the bonding wire and the solder layer, which provides a new way to access the reliability of power devices in real application. © 2021 IEEE.

关键词： Reliability

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