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检索条件"机构=Key Laboratory of Intelligent Dispatching and Control of Power Grid"

共 1326 条记录，以下是371-380 订阅

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DOFF-RLS-Based Equivalent Inertia Estimation for power System with PV 4

DOFF-RLS-Based Equivalent Inertia Estimation for Power Syste...

引用

4th IEEE International Conference on power, intelligent Computing and Systems, ICPICS 2022

作者： Ma, Huan Yang, Dong Qin, Hao Cao, Yongji Gao, Zhimin Zhang, Bing Cheng, Dingyi Zhang, Zhixuan State Grid Shandong Electric Power Research Institute State Grid Shandong Electric Power Company Jinan China Key Laboratory of Power System Intelligent Dispatch and Control The Ministry of Education Shandong University Jinan China Shandong Power Dispatch & Control Center State Grid Shandong Electric Power Company Jinan China

ISBN: (数字)9781665467735

ISBN: (纸本)9781665467735

With the use of photovoltaic (PV) generation, a large number of synchronous generation units have been replaced, resulting in obvious decline in the equivalent inertia of power system. Facing a lack of inertia, virtual inertia control techniques are applied to PV, but there is a lack of methods to estimate the equivalent inertia of PV in real time, making it difficult to quantitatively estimate the effect of control method with virtual inertia. Therefore, this paper adopts the controlled autoregressive (CAR) identification model and the recursive least square algorithm of dynamic optimal forgetting factor (DOFF-RLS) to estimate the PV equivalent inertia, in order to address the time varying characteristics of the PV equivalent virtual inertia. The proposed identification model and solution algorithm have superior tracking capability and good convergence. All that is required is to obtain the disturbance data of frequency and active power from the point of common coupling from the phasor measurement unit (PMU). Finally, the accuracy and suitability of the identification model and method are verified by simulation. © 2022 IEEE.

关键词： Virtual addresses

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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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Research on the Mechanism and Evaluation Method of DC Side Harmonic Oscillation of LCC HVDC System

Research on the Mechanism and Evaluation Method of DC Side H...

引用

power Energy Systems and Applications (ICoPESA), International Conference on

作者： Yinsheng Su Qingming Xin Rinbin Cao Huifan Xie Hongtao Liu Xiaobin Zhao Long Guo Kang Qin Power Dispatching Control Center China Southern Power Grid China State Key Laboratory of HVDC Electric Power Research Institute China Southern Power Grid Guangzhou China

With the wide application of HVDC system, the harmonic oscillation occurs from time to time, and even leads to bipolar blocked, which affects the safe and stable operation of HVDC system. The mechanism of harmonic oscillation on DC side of LCC HVDC system is analyzed in this paper, and comprehensive impedance calculation method including main circuit impedance and control system impedance is proposed. The influence of the triggering mechanism of converter valve on the impedance characteristics of control system is studied, and harmonic oscillation evaluation method based on comprehensive impedance is proposed. The method is verified by simulation and actual project.

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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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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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Research and Implementation of Distribution Network Operating Analysis Platform Based on Multi-source Heterogeneous Data 7

Research and Implementation of Distribution Network Operatin...

引用

2022 7th International Conference on Information Science, Computer Technology and Transportation, ISCTT 2022

作者： Zhou, Yangjun Yi, Chenying Liang, Shuo Yu, Xiaoyong Feng, Bin Li, Shan Zhang, Wei Guangxi Key Laboratory of Intelligent Control and Maintenance of Power Equipment Electric Power Research Institute of Guangxi Power Grid Co. Ltd Nanning530023 China Guangxi Power Grid Co. Ltd Nanning530023 China

ISBN: (纸本)9783800760565

Big data technology is an effective way to mine the value of massive data on distribution and consumption, which can significantly improve the production, operation monitoring and control of distribution network. This paper presents a method to establish a distribution network operating analysis platform. Based on analysis of source and type of big data in smart power distribution and consumption systems, functional requirements are proposed, such as evaluation of distribution network scare, power distribution reliability, equipment running state and so on. In application, system structure is proposed which including levels of business, application, data center and data base. By means of big data processing and visualization technology, platform shows the whole picture of distribution operating through integrating basic information such as power system, equipment, circumstance, and big data analysis results. And it also develops some advanced applications such as fault analysis. © VDE VERLAG GMBH ∙ Berlin ∙ Offenbach.

关键词： Electric power distribution

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power System Equivalent Inertia Estimation Method Using System Identification 5

Power System Equivalent Inertia Estimation Method Using Syst...

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5th IEEE International Conference on Electronics Technology, ICET 2022

作者： Ma, Huan Yang, Dong Qin, Hao Cao, Yongji Cheng, Dingyi Zhang, Bing Hao, Xudong Zhou, Ning State Grid Shandong Electric Power Research Institute State Grid Shandong Electric Power Company Jinan China Shandong University Key Laboratory of Power System Intelligent Dispatch and Control Ministry of Education Jinan China Shandong Power Dispatch & Control Center State Grid Shandong Electric Power Company Jinan China

ISBN: (纸本)9781665485081

As the proportion of renewable energy sources increase, the inertia of the power system continues to decrease, leading to a serious impact on frequency security and stability. There is an urgent need for an online estimation of the equivalent inertia of power systems. Most of the existing inertia estimation methods are based on the rate of change of frequency under large disturbance scenarios. According to the measurement data under normal operation, this paper estimates the equivalent inertia using system identification. The inertia response of the power system is analysed and an expression for the equivalent inertia is derived. An improved numerical algorithm based on subspace state space system identification and a least squares estimation method is used to calculate the equivalent inertia of the system. The validity of the proposed method is verified in a WSCC 9-bus power system case, showing that the proposed method has a high identification accuracy and can be adapted to different forms of load fluctuations. © 2022 IEEE.

关键词： Numerical methods

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Optimal Scheduling of Multiple Energy Storage-Thermal power Units under Electricity Market

Optimal Scheduling of Multiple Energy Storage-Thermal Power ...

引用

New Energy and Energy Storage System control Summit Forum (NEESSC)

作者： Baoju Li Shuguang Xu Jiyue Fu Xiaobiao Fu Yao Wang Xingxu Zhu Cuiping Li Junhui Li Dispatching and Control Center State Grid Jilin Electric Power Co. Ltd Chang Chun China Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education (Northeast Electric Power University) China The Power Dispatching and Control Center State Grid Jilin Electric Power Co. Ltd Chang Chun China

ISBN: (数字)9798350389012

ISBN: (纸本)9798350389029

Aiming at the increasing burden of power system peaking caused by the integration of large-scale new energy generation into the grid and the imperfect participation mechanisms for peaking entities in the power market, this paper proposes an optimal dispatch method for multiple storage and thermal power units. Firstly, to reduce the impact of the volatility of new energy generation on system peaking, the planned market trading power of new energy is optimally allocated with the goal of minimizing the net load on the grid. Secondly, a multi-storage lease transaction mechanism and an energy storage lease declaration model based on the whole life cycle cost are designed, and the charging and discharging power of individual storage units is optimized with the objective of maximizing revenue from multi-storage leasing. Finally, typical daily data are selected and simulated in the improved IEEE 30-bus system. The results show that the proposed method reduces the curtailment rate of new energy and effectively improves the economic efficiency of peaking for power market entities.

关键词： Supply and demand Optimal scheduling Vanadium Redox Lithium power markets Iron Batteries power systems Load modeling

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Modeling and Parameter Identification of Constant-Speed Centrifugal Chiller Based on Experiments

Modeling and Parameter Identification of Constant-Speed Cent...

引用

2023 International Conference on power System Technology, powerCon 2023

作者： Han, Xinchan Zhang, Wen Cheng, Dingyi Zhang, Tingting Liu, Meng Xie, Yuxin Shandong University Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Jinan China State Grid Shandong Electric Power Research Institute Jinan China JinXianDai Information Industry Co. Ltd. Jinan China

ISBN: (纸本)9798350300222

The expanding penetration of intermittent renewable energy resources is motivating the development of demand response (DR) services for balancing generation and load. Central air conditionings (CACs) are potential candidates due to their thermal energy storage capability. A suitable load model is the foundation for DR services. However, CACs contain multiple control subsystems whose parameters are difficult to obtain because of trade secrets. This paper focuses on the modeling and parameter identification of the constant-speed centrifugal chiller, which accounts for 60-70% of the power of CAC. A thermal-electrical model of a constant-speed centrifugal chiller is established to describe the dynamic operation process. In addition, the critical control parameters and the delay time of control systems are identified based on experimental data for a practical building chiller. The experimental results verified the effectiveness of the proposed model. © 2023 IEEE.

关键词： Air conditioning

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Analysis on Participation Strategy of Independent Energy Storage Station in Electricity Spot Market

Analysis on Participation Strategy of Independent Energy Sto...

引用

power and Electrical Engineering (ACPEE), 5th Asia Conference on

作者： Daning You Guoqiang Zhang Shihang Song Hanghang Liu Yanbin Cai Yuanyuan Wang Li Zhang Power Dispatching Control Center State Grid Shandong Electric Power Company Jinan China Key Laboratory of Power System Intelligent Dispatch and Control Shandong University Jinan China Dongying Power Supply Company State Grid Shandong Electric Power Company Dongying China

To implement the carbon peaking and carbon neutrality goals, improving market mechanism to maximize the utilization of energy storage is attracting more and more attention. This paper addresses the trading strategy of independent energy storage station participating in both energy market and frequency regulation market. A restrictive coefficient of available capacity of energy storage participating in frequency regulation market is introduced, which characterizes the constraints of the energy storage between the two markets. Consequently, the market optimization model with the restrictive coefficient is constructed. Then, different strategies are set based on the capacity allocation of energy storage in the two markets, and the energy storage station’s role and revenue are analyzed. Simulations under different participation strategies are done, the results show that with the increase of renewable energy connected to the grid, taking the energy storage more as an excellent frequency regulation resource is beneficial to renewable energy consumption and system operation.

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