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12th International Conference on Renewable power Generation, RPG 2023

作者： He, Xiaocai Wang, Bin Dong, Xinzhou Zhang, Minglong Chao, Wujie Huang, Junwei Dai, Liyu National Key Laboratory of New Power System Operation and Control Department of Electrical Engineering Tsinghua University Beijing China State Grid Fujian Electric Power Co. Ltd. Electric Power Science Research Institute Fujian China

The short circuit current characteristics of LCC-HVDC transmission system are directly related to the action characteristics of AC protection at the inverter side. However, the single-end equivalent model of the existing LCC-HVDC transmission system regards the sending end as a pure traditional AC power supply, and the equivalent error is large when the sending end contains a high proportion of new energy. Based on the dynamic phasor equivalent calculation framework, this paper establishes a single-end equivalent model of the LCC-HVDC transmission system based on the AC information of the inverter side only, and analyzes the impact of different new energy proportion scenarios on the single-end equivalent error and the causes of the error. In this paper, simulation verification is carried out under the scenario of multiple new energy ratios at the sending end. The results show that the simulation error of the single-end equivalent model increases with the increase of the proportion of new energy, which reduces the credibility of the single-end equivalent calculation. © The Institution of Engineering & Technology 2023.

关键词： Errors

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Study on Block Strategy Optimization of Passive Isolated Island operation of DXB UHVDC Project 6th

Study on Block Strategy Optimization of Passive Isolated Isl...

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

作者： Huang, Run Zhang, Lifei Wu, Chen Li, Chengxiang Yang, Lei Wu, Mingkang Yunnan Power Grid Co. Ltd Kunming650011 China State Key Laboratory of HVDC China Southern Power Grid Electric Power Research Institute Guangzhou China Guangdong Provincial Key Laboratory of Intelligent Operation and Control for New Energy Power System Guangzhou China CSG Key Laboratory for Power System Simulation China Southern Power Grid Electric Power Research Institute Guangzhou China

ISBN: (纸本)9789811671555

Due to the lack of generators at sending end in the early operation stage of the DXB UHVDC project, if it passively entered into island operation mode, the system will encounter harmonic instability and will cause a great risk to the steady operation. In previous projects, the common solution is to disconnect AC filters and block bipolar DC with a certain time delay when receiving island operation signal. However HVDC system may block valves, cut generation capacity or shed power by error when receiving false island operation signal. Therefore, the blocking strategy at low power under passive island mode has been improved. In DXB UHVDC project, the power on AC tie lines is used as criteria for island operation to prevent false action. The logic and realization of the control strategy are illustrated, then RTDS simulations are carried out and it is verified that by judging the power on AC tie lines, the system can effectively prevent from entering island mode by error. Finally, the field test proved that the proposed improved strategy will not cause rejecting of the existing "island blocking logic". The proposed strategy can be a reference to other DC projects. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Computer circuits

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Advanced Out-of-Step Splitting protection Simulation Platform with Considering High Frequency Generation Tripping and Low Frequency Load Shedding

Advanced Out-of-Step Splitting Protection Simulation Platfor...

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2022 IEEE International Conference on power Systems and Electrical Technology, PSET 2022

作者： Liu, Ren Zhu, Yukun Zhu, Yihua Chang, Dongxu Wu, Mingkang Huang, Libin a. State Key Laboratory of HVDC b. National Energy Power Grid Technology R&D Centre c. Guangdong Provincial Key Laboratory of Intelligent Operation and Control for New Energy Power System d. CSG Key Laboratory for Power System Simulation Electric Power Research Institute China Southern Power Grid Guangzhou China

ISBN: (纸本)9781665489157

This paper presents an advanced out-of-step (OOS) splitting protection simulation platform considering high frequency generation tripping and low frequency load shedding. In the proposed simulation platform, Real-Time Digital Simulator (RTDS) is utilized as the real-time power system simulator. Through the high-speed I/O card, real industry OOS splitting protection device is integrated into the proposed simulation platform. Based on the real China South power grid (CSG) control strategy, high frequency generation tripping and low frequency load shedding components are modelled in the simulation. CSG real grid is modelled in the RTDS to perform the Real-time hardware-in-the-loop simulation. Simulation results present that there is a clear difference between with high frequency generation tripping results and without high frequency generation tripping results. © 2022 IEEE.

关键词： Simulation platform

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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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Research on substation inspection behavior recognition algorithm based on human feature points 4

Research on substation inspection behavior recognition algor...

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4th International Conference on Advanced Algorithms and Neural Networks, AANN 2024

作者： Liu, Xu Zhang, Yubo Zou, Lin Lu, Yufeng Huang, Chengwei China Southern Power Grid Science Research Institute Co. Ltd. Guangdong GuangZhou510000 China Electric Power Science Research Institute of Guangxi Power Grid Co. Ltd. Guangxi Nanning530023 China Guangxi Key Laboratory of Intelligent Control and Operation of Electric Power Equipment Guangxi Zhuang Autonomous Region Nanning City530023 China Hezhou Power Supply Bureau Hezhou542800 China

ISBN: (纸本)9781510686106

With the rapid development of computer vision and machine learning, behavior recognition technology has become a research hotspot and is widely used in video surveillance, human-computer interaction, virtual reality and other fields. Traditional behavior recognition methods mostly rely on complex pre-processing and manual feature extraction, which has high computational cost and poor robustness. In order to overcome these limitations, this paper proposes a new behavior recognition algorithm based on human feature points. Firstly, the deep learning technology is used to realize the real-time positioning and tracking of the key feature points of the human body through the openpose framework. This technology can accurately identify the 34 key points of the human body under various postures and lighting conditions. Secondly, based on these key point data, we build a lightweight convolutional neural network model to analyze the dynamics of human behavior and capture the spatio-temporal characteristics of behavior. Through training and testing on the public human3.6m data set, our model achieves 92% accuracy in behavior recognition, and can process 30 frames of video stream per second, showing excellent real-time performance. This research not only improves the efficiency and accuracy of behavior recognition, but also provides a valuable reference for future deployment in practical applications. © 2024 SPIE.

关键词： Convolutional neural networks

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Impedance Network Modeling of GFL and GFM Converters System Considering AC/DC Couplings

Impedance Network Modeling of GFL and GFM Converters System ...

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IEEE International Conference on power and power and Renewable Energy (ICPRE)

作者： Kun Zheng Chao Luo Zhiyuan Sun Yihua Zhu Jiawei Yu Guangxi Key Laboratory of Intelligent Control and Maintenance of Power Equipment Guangxi Power Grid Electric Power Research Institute China Southern Power Grid Nanning China State Key Laboratory of HVDC Electric Power Research Institute China Southern Power Grid National Energy Power Grid Technology R&D Centre Guangdong Provincial Key Laboratory of Intelligent Operation and Control for New Energy Power System Guang zhou China

ISBN: (数字)9798350377460

ISBN: (纸本)9798350377477

With the rapid development of grid-forming (GFM) control technology, integrating GFM control into grid-following (GFL) control-dominated systems has been attached with great importance due to the enhancement of grid supporting capability. To keep the normal operation of such GFL/GFM hybrid system, its small-signal stability needs to be studied, while the current research mainly focuses on the GFL/GFM converters' ac-side dynamics and usually ignore their ac/dc couplings. Therefore, this paper proposes an impedance network modeling method for GFL/GFM multi-converters system, and then a nodal admittance matrix retaining both ac and dc nodes is obtained. With such model, system marginal unstable condition can be accurately determined. Further, the influence of the capacity ratio between GFL and GFM converter is discussed. Simulation results of a typical GFL/GFM hybrid system verify the theoretical analysis.

关键词： Couplings Renewable energy sources grid following Simulation power system stability Stability analysis Admittance Impedance Matrix converters grid forming

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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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Enhancing power System Stability: A Machine Learning Approach with SVM, Random Forest and Deep Learning Utilizing Wide Area Measurements 7

Enhancing Power System Stability: A Machine Learning Approac...

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7th IEEE Student Conference on Electric Machines and Systems, SCEMS 2024

作者： Song, Chao Tan, Mengcan Chu, Mingzhao Zhou, Chihan Tian, Guojie Mu, Longfei Shandong Future Intelligent Technology Co. Ltd Shandong Electrical Engineering & Equipment Group Co. Ltd Jinan China Fengtai Supply Company Distribution Operation and Maintenance Center State Grid Beijing Electric Power Company Beijing China State Grid Shandong Electric Power Company Changyi Supply Company Marketing Department Changyi China State Grid Kunming Power Supply Company Kunming China Shandong Tianyu Changtong Energy Group Co. Ltd. Qingdao China Key Laboratory of Power System Intelligent Dispatch and Control Ministry of Education Shandong University Jinan China

ISBN: (纸本)9798350366945

As the scale and complexity of modern power systems continue to expand, the importance of system stability has become increasingly critical. To ensure the stable operation of the power system, this paper proposes a power system stability analysis and optimal control strategy based on the Wide Area Measurement System (WAMS). Initially, a novel stability evaluation method is established using WAMS data and machine learning techniques, enabling effective handling of complex power system data and providing accurate stability assessments. Following this, an optimal control strategy is designed based on the evaluation method, aimed at real-time adjustments of power resource allocation to enhance system stability and responsiveness. Simulation analyses confirm the effectiveness and reliability of the proposed approach, indicating that the optimized control strategy significantly improves the system's performance under disturbances. This paper presents an innovative method for the stable operation of integrated power systems, contributing to the enhancement of power supply quality within the grid and ensuring the safe and efficient operation of the overall power system. © 2024 IEEE.

关键词： control system stability

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A Study of Nanosecond Clock Synchronization Methods for Real-Time Transient Simulation

A Study of Nanosecond Clock Synchronization Methods for Real...

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International Conference on Communications, Information System and Computer Engineering (CISCE)

作者： Qi Guo Yuanhong Lu Jingyue Zhang Jie Zhang Haiping Guo Binjiang Hu State Key Laboratory of HVDC Electric Power Research Institute China Southern Power Grid Guangdong Provincial Key Laboratory of Intelligent Operation and Control for New Energy Power System CSG Key Laboratory for Power System Simulation Electric Power Research Institute China Southern Power Grid Guangdong China

ISBN: (数字)9798350353174

ISBN: (纸本)9798350353181

Conventional nanosecond clock synchronization protocols are generally target-type or content-type, the synchronization rate is low, which leads to the increasing of the mean value difference of synchronization, so we propose to study the design of nanosecond clock synchronization method for real-time transient simulation. Combined with the actual clock synchronization requirements, we first calculate the link congestion coefficient, adopt a multilevel approach to strengthen the synchronization rate, set up a multilevel clock synchronization protocol, based on which we determine the clock source quality coefficients and construct a nanosecond clock synchronization model for real-time transient simulation, and use redundancy processing to achieve clock synchronization. The test results show that compared with the high-efficiency phase-color clock synchronization method and the cross-clock synchronization method, the mean synchronization difference of the designed transient simulation nanosecond clock synchronization method is controlled to be less than 0.5, which indicates that the designed clock synchronization method is more efficient, stable, and targeted, and the synchronization effect is significantly improved.

关键词： Protocols Redundancy Real-time systems Stability analysis Synchronization Transient analysis Thermal stability

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A method for transformer substation personnel behavior recognition based on improved alphapose algorithm 4

A method for transformer substation personnel behavior recog...

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4th International Conference on Advanced Algorithms and Neural Networks, AANN 2024

作者： Zou, Lin Zhang, Yubo Liu, Xu Lu, Yufeng Huang, Chengwei China Southern Power Grid Science Research Institute Co. Ltd. Guangdong GuangZhou510000 China Electric Power Science Research Institute of Guangxi Power Grid Co. Ltd. Guangxi Nanning530023 China Guangxi Key Laboratory of Intelligent Control and Operation of Electric Power Equipment Guangxi Zhuang Autonomous Region Nanning530023 China Hezhou Power Supply Bureau Hezhou542800 China

ISBN: (纸本)9781510686106

In recent years, the safety and efficiency of transformer substation operations have gained significant attention. Monitoring personnel behavior within these facilities is crucial for maintaining safety standards and optimizing performance. This paper presents a novel approach to personnel behavior recognition in transformer substations using an improved AlphaPose algorithm. By enhancing the AlphaPose algorithm with additional preprocessing steps, optimized model parameters, and integration with machine learning classifiers, our method achieves superior accuracy and robustness in recognizing various personnel activities. Experimental results demonstrate the effectiveness of the proposed method in real-world transformer substation environments. © 2024 SPIE.

关键词： Transformer substations

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