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Power and Energy systems Engineering (CPESE), International Conference on

作者： Wei Wang Chenjin Xu He Wang Wenbo Su Zhenya Ji Minqiang Hu NARI School of Electrical and Automation Engineering State Key Laboratory of Smart Grid Protection and Control Nari Group Corporation Nanjing Normal University Nanjing China State Key Laboratory of Smart Grid Protection and Control Nari Group Corporation Nanjing China NARI School of Electrical and Automation Engineering Nanjing Normal University Nanjing China

The magnetic field energy harvesting has become a more suitable method for powering the monitoring sensors due to its simple energy harvesting structure, high power density, and stable energy source. However, existing magnetic field energy harvester have limitations such as restricted installation size, single application scenario, and difficulty in installation or disassembly. Motivated by the above problems, this paper proposes a flexible spiral magnetic field energy harvesting (SMFH) method, which is verified by the establishment of energy harvesting models, theoretical derivation, and simulation analysis. On this basis, a comprehensive performance analysis is performed on the number of windings, load characteristics, flexibility, weight, and non-ideal resonant state. Also, the sensitivity of the flexible SMFEH to various parameter changes is deeply analyzed. Finally, the experiments have verified the feasibility of the flexible SMFEH.

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Transient Response Characteristics Analysis of DFIG under Symmetric Voltage Sudden Changes in the grid

Transient Response Characteristics Analysis of DFIG under Sy...

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Sustainable Power and Energy Conference (iSPEC)

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

Large-scale grid-connection of wind power has a profound impact on the characteristics of power grids. To study the mechanism of the influence of voltage sudden changes on the transient response characteristics of double-fed wind fields is the basis of ensuring the safe and stable operation of power grids. In this paper, the expression of rotor current under symmetrical voltage sudden changes is derived, and the related factors affecting the transient response characteristics of rotor current are analyzed. Then, a detailed DFIG model is built in PSCAD, and a variety of scenarios are simulated to verify the accuracy of the proposed doubly-fed fan’s transient response characteristics under symmetrical voltage sudden changes.

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

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

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Power and Energy Engineering (ICPEE), International Conference on

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

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.

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Multi-dimensional Quantitative Evaluation of Fault Transient Characteristic Accuracy of DFIG Farm Equivalent Model

Multi-dimensional Quantitative Evaluation of Fault Transient...

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Electrical Engineering and control Technologies (CEECT), Conference on

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

An accurate wind farm model is a crucial prerequisite to ensure that the simulation results of the power system containing wind power align with reality. Hence, it is imperative to establish a system for evaluating the accuracy of wind farm models. This paper examines the fault response characteristics of wind turbines and proposes a multi-dimensional quantitative index system for assessing the equivalency of wind farm models. The entire process can be segmented into two stages: the transient period immediately following the fault occurrence and the subsequent steady-state phase. The evaluation indexes for assessing the accuracy of wind farm models are voltage dynamic response, active power dynamic response, and reactive power dynamic response. These indexes are formulated to evaluate the equivalency of wind farm models across various stages.

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Decision Support system for Adaptive Restoration control of Transmission system

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Journal of Modern Power systems and Clean Energy 2021年第4期9卷 870-885页

作者： Ze Li Yusheng Xue Haohao Wang Lili Hao School of Electrical Engineering Southeast UniversityNanjingChina State Grid Electric Power Research Institute(NARI Group Corporation) NanjingChina State Grid Electric Power Research Institute(NARI Group Corporation) NanjingChinaand they are also with State Key Laboratory of Smart Grid Protection and Operation ControlNanjingChina School of Electrical Engineering and Control Science Nanjing Tech UniversityNanjingChina

The power system restoration control has a higher uncertainty level than the preventive control of cascading failures. In order to ensure the feasibility of the decision support system of restoration control, a decision support framework for adaptive restoration control of transmission system is proposed, which can support the coordinated restoration of multiple partitions, coordinated restoration of units and loads, and coordination of multi-partition decision-making process and actual restoration process. The proposed framework is divided into two layers, global coordination layer and partition optimization layer. The upper layer partitions the transmission system according to the power outage scenario, constantly and dynamically adjusts the partitions during the restoration process, and optimizes the time-space decision-making of inter-partition connectivity. For each partition, the lower layer pre-selects restoration targets according to the estimated restoration income, optimizes the corresponding restoration paths, and evaluates the restoration plans according to the expected net income per unit of power consumption. During the restoration process, if the restoration operation such as energizing the outage branch fails, the current restoration plan will be adaptively switched to the sub-optimal one or re-optimized if necessary. The framework includes two operation modes, i.e., the on-line operation mode and training simulation mode, and provides an information interaction interface for collaborative restoration with related distribution systems. The effectiveness and adaptability of the proposed framework is demonstrated by simulations using the modified IEEE 118-bus system.

关键词： Transmission system restoration two-layer decision support framework restoration risk and income restoration uncertainty sand table deduction

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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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International Conference on Electronics Technology (ICET)

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

ISBN: (数字)9798350363951

ISBN: (纸本)9798350363968

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.

关键词： Performance evaluation Frequency modulation Power system dynamics Power system stability Stability analysis Regulation Power grids

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Research on control Strategy and Simulation of MMC-HVDC system Based on Battery Energy Storage system

Research on Control Strategy and Simulation of MMC-HVDC Syst...

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Electrical Engineering and control Science (IC2ECS), International Conference on

作者： Liyu Dai Chaoping Deng Wujie Chao Jinke Wang Junwei Huang Electric Power Research Institute State Grid Fujian Electric Power Co. Ltd Fujian Key Laboratory of Smart Grid Protection and Operation Control Fuzhou China

This paper presents a method of applying MMC based on battery energy storage system (BESS) to HVDC system to realize power decoupling control on AC and DC side. Firstly, the basic structure and working principle of MMC-HVDC system based on BESS are analyzed. Then, based on the mathematical equivalent model, the MMC-BESS decoupling control method based on DC power control is derived, and the AC-DC power decoupling control is realized. Finally, a +400kV MMC-HVDC system is built on the RTDS platform, and the proposed control strategy and power decoupling effect are verified. The results show that the MMC-BESS control strategy proposed in this paper is effective. The MMC-HVDC system based on BESS can realize active power decoupling control between AC side and DC side, and the unbalanced power between AC side and DC side can be compensated by the charge and discharge of BESS.

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A Flow-Guided Anomaly Detection Method For Substation Equipment in Changing Scenarios

A Flow-Guided Anomaly Detection Method For Substation Equipm...

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2021 China Automation Congress, CAC 2021

作者： Zhang, Qingwei Wang, Jing Wang, Peng Zhou, Wenhao Li, Yingxuan Zhao, Chunhui State Key Laboratory of Smart Grid Protection and Control NAPJ Technology Development Company Limited Nanjing China State Key Laboratory of Industrial Control Technology College of Control Science and Engineering Zhejiang University Hangzhou China

ISBN: (纸本)9781665426473

The anomaly detection for substation equipment is of great significance to maintain the safe operation of substations. With the development of deep learning, many anomaly detection methods based on deep convolutional neural networks (CNN) have been proposed. However, the challenge lies in the diversity of the environment and the variety of anomaly types in the substation. This paper proposes a Flow-Guided Anomaly Detection Method, which contains a data augmentation module and a flow-guided feature fusion module. The data augmentation module utilizes CycleGAN to transfer the style of the images to adapt to changing scenarios, such as different illumination and season conditions. The flow-guided feature fusion module extracts the optical flow between the test image and the template image by a pre-trained FlowNet, which represents the change information between the image pair and is universal for different anomaly types. Then the appearance information and change information of the image are aggregated to obtain the fused feature, which contains more semantic information. Finally, the fused feature is utilized to accurately detect a wider range of abnormal types. Experiments show that our proposed method has superior performance in anomaly detection for substation equipment and is more robust to changing scenarios. © 2021 IEEE

关键词： Anomaly detection

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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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International Conference on Electronics Technology (ICET)

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

ISBN: (数字)9798350363951

ISBN: (纸本)9798350363968

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.

关键词： Couplings Low voltage Time-frequency analysis Grounding Electric shock Voltage Power system stability

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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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作者： Chao Shen Jinxia Dai Mengge Mao Kun Zhao Zhen Yan Kun Huang NARI Group Corporation (State Grid Electric Power Research Institute) State Key Laboratory of Smart Grid Protection and Control

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 *** 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 *** method constructs a professional dictionary in the field of power grid regulation by using the Double-Array Tree storage *** 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 *** 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.

关键词： Chinese word segmentation Dictionary Statistical methods Scenario application of power grid regulation

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