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共 565 条记录，以下是41-50 订阅

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An Enhanced Feature Extraction Method for power Cable FDR Test Results Based on First-Order Derivatives

An Enhanced Feature Extraction Method for Power Cable FDR Te...

引用

2023 Panda Forum on power and Energy, PandaFPE 2023

作者： Pan, Shaoming Zhang, Yiyi Tang, Jie Feng, Bo Zhang, Lei Zhao, Jian Zhang, Longfei Guangxi Key Laboratory of Intelligent Control and Operation of Electric Power Equipment Guangxi Power Grid Co. LTD. Electric Power Research Institute Nanning China

ISBN: (纸本)9798350321173

Nowadays, frequency-domain reflection (FDR) cascaded with inverse Fourier transform (IFT) is widely used to detect the position of a power cable defect and diagnosis the type of the defect. However, due to the lack of the FDR test result in low frequency band width caused by the hard ware, it is hard to directly distinguish the type of the defect with the IFT result. Thus, an enhanced feature extraction method for power cable FDR test results based on first-order derivatives (FODs) is proposed to enlarge the difference of the IFT result between the general part and degraded part of the cable, and make the difference between the results characterized by different types of defects more obvious. Both simulated result and experiment result indicate that the proposed method can valuably enhance the features of cable defects in FDR test result, and reduce the error of defect type judgment caused by the lack of the FDR data within low-frequency band width and some other environment noise. © 2023 IEEE.

关键词： Defects

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Nonlinear Optimal control Method for DC/DC Converters in DC Microgrid Based on the Differential Geometry Theory 7

Nonlinear Optimal Control Method for DC/DC Converters in DC ...

引用

7th IEEE Information Technology and Mechatronics Engineering Conference, ITOEC 2023

作者： Guo, Tianyu Guo, Haiping Tu, Liang Huang, Libin Lu, Yuanhong China Southern Power Grid State Key Laboratory of Hvdc Electric Power Research Institute Guangzhou China Guangdong Provincial Key Laboratory of Intelligent Operation and Control for New Energy Power System Guangzhou China China Southern Power Grid Csg Key Laboratory for Power System Simulation Electric Power Research Institute Guangzhou China

ISBN: (纸本)9798350334197

The DC/DC converter in the DC microgrid is the core device that supports the efficient grid connection of power electronic drive devices such as new energy generation units and energy storage devices. In view of this, this paper proposes a nonlinear optimal control method for DC/DC converters based on differential geometry theory, aiming at the nonlinear characteristics of the mathematical model of the converter. First, the topology structure of the DC microgrid is analyzed, and the mathematical model of the DC/DC converter is established;Secondly, the basic principle of power system nonlinear control based on differential geometry theory is discussed, and the nonlinear optimal controller for DC/DC converter is designed based on the accurate linearization method in differential geometry theory to quickly suppress power disturbance and realize the efficient grid connection application of power electronic drive equipment. Finally, the correctness and effectiveness of the proposed nonlinear optimal method were verified based on MATLAB/simulink. © 2023 IEEE.

关键词： DC-DC converters

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A Coordinated Optimization Method for Source-Load-Storage in Renewable power System Considering Overcharge/Overdischarge Cost of Stored Energy 6

A Coordinated Optimization Method for Source-Load-Storage in...

引用

6th IEEE Information Technology, Networking, Electronic and Automation control Conference, ITNEC 2023

作者： Guo, Tianyu Huang, Libin Guo, Haiping State Key Laboratory of HVDC Electric Power Research Institute China Southern Power Grid 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 Electric Power Research Institute China Southern Power Grid Guangzhou China

ISBN: (纸本)9781665460033

Building a renewable power system with renewable energy as the main part can give full play to the regulatory capacity of sources, network, loads, storage and other types of controllable resources. It is the key to promoting clean energy transformation and achieving the goal of carbon peaking and carbon neutralization, and has become a research hotspot in the energy field. In this paper, a coordinated optimization method for source load storage in renewable power system considering overcharge/overdischarge cost of stored energy is proposed. Two state of Charge (SOC) thresholds for the energy storage are set, when the SOC exceeds the corresponding threshold, the cost of overcharge/overdischarge penalty is added respectively to effectively balance the security and regulation capability of energy storage;Then, set the wind/light abandonment cost and the demand response cost of adjustable load, to coordinate the output of source, load and energy storage, to improve the regulation capacity of the renewable power system. Finally, the correctness and rationality of the method proposed in this paper are effectively verified. © 2023 IEEE.

关键词： Energy storage

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Emergency control methods for power systems based on improved deep reinforcement learning 6

Emergency control methods for power systems based on improve...

引用

2024 6th International Conference on Artificial Intelligence Technologies and Applications, ICAITA 2024

作者： Zhang, Jie Zhu, Yihua Liang, Zhuohang Ma, Qinfeng Zhang, Qingqing Liu, Mingshun An, Su Pu, Qingxin Dai, Jiang State Key Laboratory of HVDC Electric Power Research Institute China Southern Power Grid Guangdong Guangzhou510663 China Guangdong Provincial Key Laboratory of Intelligent Operation and Control for New Energy Power System Guangdong Guangzhou510663 China CSG Key Laboratory for Power System Simulation Electric Power Research Institute China Southern Power Grid Guangdong Guangzhou510663 China Power Dispatching and Control Center of Guizhou Power Grid Co. Ltd. Guizhou Guiyang550000 China

In order to achieve fast and accurate transient stability analysis and emergency control, this paper proposes a transient stability emergency control method based on improved deep reinforcement learning. In order to fully explore the temporal and spatial variation trend of transient response, a multi-dimensional feature containing information such as transient situation energy is constructed, and the deep reinforcement learning model is transformed based on the time-space graph neural network. On this basis, an emergency control model is constructed, and the power grid knowledge is integrated into the emergency control decision-making scheme to reduce the exploration of invalid decision-making and improve the performance of the model. The effectiveness of the proposed method is verified in the IEEE-39 system. © 2024 Institute of Physics Publishing. All rights reserved.

关键词： Deep reinforcement learning

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Application research of time-slot task synchronization method based on timestamp counter polling in electromagnetic transient real-time simulation 6

Application research of time-slot task synchronization metho...

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6th International Conference on Information Science, Electrical, and Automation Engineering, ISEAE 2024

作者： Guo, Qi Lu, Yuanhong Guo, Tianyu Zhang, Jie Huang, Libin Tu, Liang Guo, Zhilong Xu, Dehuai Guo, Chuang State Key Laboratory of HVDC Electric Power Research Institute China Southern Power Grid 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 Electric Power Research Institute China Southern Power Grid Guangzhou China Dawning Network Technology Corp. Ltd. Wuhan China

ISBN: (纸本)9781510682924

In the practical application of electromagnetic transient real-time simulation computing platform, due to the large amount of calculation and long calculation time of electromagnetic transient simulation calculation, in order to improve the calculation speed and accuracy, it is usually necessary to use multiple CPU cores for parallel calculation at the same time, and ensure that each task synchronization and coordination among the computing cores. So, it is of great significance to select an appropriate task synchronization method for the realization of the electromagnetic transient real-time simulation computing platform. The paper puts forward a kind of based on TSC (Time Stamp Counter) Time Stamp Counter polling Time slot task synchronization method, this method supports high precision Time synchronization and coordination between different tasks, and can adapt to the transmission and efficient processing of large amounts of data. The test results prove that this method can avoid the overhead and delay of a large number of interrupts and thread switching, improve the efficiency, stability and predictability of task execution, and meet the performance requirements of the task synchronization method based on the centralized tightly coupled electromagnetic transient real-time simulation prototype. © 2024 SPIE.

关键词： Electromagnetic transients

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Clustering and Equivalent Modeling Method for Direct-Drive Wind Farms Based on Particle Swarm Neural Network 4

Clustering and Equivalent Modeling Method for Direct-Drive W...

引用

4th International Conference on Energy, power and Electrical Engineering, EPEE 2024

作者： Tu, Liang Huang, Libin Guo, Haiping Hu, Binjiang Zhang, Jingyue Luo, Hui State Key Laboratory of Hvdc Electric Power Research Institute China Southern Power Grid Guangzhou China National Energy Power Grid Technology R&d Centre China Southern Power Grid Guangzhou China Guangdong Provincial Key Laboratory of Intelligent Operation and Control for New Energy Power System China Southern Power Grid Guangzhou China Csg Key Laboratory for Power System Simulation Electric Power Research Institute China Southern Power Grid Guangzhou China National Energy Power Grid Technology R&d Centre Guangzhou China

ISBN: (纸本)9798331518066

In the realm of large-scale integration of wind farms or clusters into power grids, the fault transient characteristics of these grids have experienced significant transformations. Unfortunately, the prevalent single-machine equivalent models are inadequate in accurately depicting the fault transient behavior of wind farms or clusters. Moreover, their simulation computations are exceedingly intensive, resulting in suboptimal simulation efficiency. To address these challenges, this paper introduces a clustering and equivalent modeling approach tailored for direct-drive wind farms, leveraging the capabilities of a particle swarm neural network. Initially, a transient model for direct-drive wind turbines is formulated, and fault characteristic influence factors are established through theoretical analysis. These factors encompass the distance between the wind turbine and the point of common coupling (PCC), the implementation of DC-side current limiting measures, wind speed, and reactive power at the outlet. Following this, the Euclidean distance of the influence factor set is computed, and the initial cluster centers of wind turbines are derived using an enhanced max-min distance method. Ultimately, an equivalent clustering model is formulated by utilizing the influence factors and initial cluster centers as the training set. Simulation outcomes reveal that, in comparison to the single-machine equivalent model, this method enhances simulation efficiency by a range of 62% to 67% and reduces the steady-state error in fault current simulation by 0.8% to 1.9%. © 2024 IEEE.

关键词： Windmill

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An Equivalent Modeling Method for Integrated Hydro-Photovoltaic-Wind Systems Based on Particle Swarm Optimization and Neural Networks 4

An Equivalent Modeling Method for Integrated Hydro-Photovolt...

引用

4th International Conference on intelligent power and Systems, ICIPS 2024

作者： Huang, Ying Lu, Yuanhong Zhao, Yanjun Hu, Yufeng Zhang, Jie Guo, Haiping China Southern Power Grid State Key Laboratory of HVDC Electric Power Research Institute China Southern Power Grid Guangzhou Guangzhou510663 China China Southern Power Grid National Energy Power Grid Technology R & D Centre Guangzhou Guangzhou510663 China China Southern Power Grid Guangdong Provincial Key Laboratory of Intelligent Operation and Control for New Energy Power System Guangzhou Guangzhou510663 China China Southern Power Grid CSG Key Laboratory for Power System Simulation Electric Power Research Institute China Southern Power Grid Guangzhou Guangzhou510663 China

ISBN: (纸本)9798331532765

The fault transient characteristics of power grids have undergone a fundamental transformation as a consequence of the advent of hybrid scale access to power grids by new energy sources. Nevertheless, the existing stand-alone equivalent model is unable to accurately characterise the fault transient characteristics of the hybrid light-water-wind electric field/cluster. Furthermore, the simulation computation of the stand-alone equivalent model is considerable in scale and the simulation efficiency is low. This paper proposes a particle swarm neural network-based clustered equivalent modelling method for a light-water-wind hybrid electric field. Firstly, a transient model of the light-water-wind hybrid electric field is established, and the characteristic influence factors of faults are constructed through theoretical analysis. These include the distance between the light-water-wind hybrid electric field and the point of common coupling (PCC), the input of current limiting measures on the DC side, the light, the water speed, the wind speed, and the reactive power at the outlet. Subsequently, the Euclidean distance is calculated for the set of characteristic influencing factors, and the initial centre of clustering of wind turbines is extracted based on the improved maximum-minimum distance method. Ultimately, the clustering equivalent modelling is accomplished through the utilisation of the aforementioned feature influencing factors and the classification initial centre as the training set. The simulation results show that compared with the single-machine equivalent model, The simulation error has been reduced from the order of magnitude of 10-2 p.u. to the order of magnitude of 10-4 p.u., while the simulation efficiency of this method is has been reduced from the order of magnitude of 10-2 s to the order of magnitude of 10-4 s. © 2024 IEEE.

关键词： Particle swarm optimization (PSO)

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Forecasting-Aided Voltage Estimation for Distribution Network Considering the Integrated Management of Virtual power Plants Platform 7

Forecasting-Aided Voltage Estimation for Distribution Networ...

引用

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

作者： Jia, Yujian Liu, Zhao Kan, Changtao Yu, Yue Li, Changgang State Grid Jinan Power Supply Company Jinan China Key Laboratory of Power System Intelligent Dispatch and Control Ministry of Education Shandong University Jinan China

ISBN: (纸本)9798350366945

As more distributed energy sources integrate into distribution networks, issues such as voltage fluctuations and reduced observability become increasingly prominent. Therefore, this paper proposes an algorithm for forecasting-aided state estimation (FASE) in virtual power plants' integrated operation management platform. Firstly, a Bidirectional Long Short-Term Memory (BiLSTM)-Extended Kalman Filter (EKF) algorithm for distribution network FASE is introduced. Secondly, the integrated management of virtual power plant platforms (IM-VPPP) enhances the observability of distribution networks. To evaluate the performance of the proposed method, simulations are conducted using the IEEE 33-bus standard distribution system. Results demonstrate significant advantages of the algorithm in terms of accuracy and robustness. © 2024 IEEE.

关键词： power distribution networks

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Research on Operating System Runtime Jitter control Method for Electromagnetic Transient Real time Simulation Calculation 3

Research on Operating System Runtime Jitter Control Method f...

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3rd International Symposium on Computer Technology and Information Science, ISCTIS 2023

作者： Guo, Qi Guo, Tianyu Lu, Yuanhong Guo, Haiping Huang, Libin Tu, Liang Control for New Energy Power System Guangdong Provincial Key Laboratory of Intelligent Operation Guangzhou China Electric Power Research Institute China Southern Power Grid Csg Key Laboratory for Power System Simulation Guangzhou China

ISBN: (纸本)9798350325386

Real-time electromagnetic transient simulation can quickly analyze and solve the problems in complex large-scale power systems, realize accurate prediction and diagnosis of faults, and is a necessary means to promote the implementation of new power systems. However, the real-time simulation of electromagnetic transient puts forward strict requirements for the real-time performance of the underlying operating system. In this paper, the test method of system runtime jitter on Linux platform is designed, and the causes of jitter are analyzed based on the test results, and the control method of runtime jitter is studied. The experimental results show that the jitter of the system can be controlled in nanosecond level after using the methods of interrupt shutdown, CPU core binding and configuration of NOHZ_FULL, which can meet the needs of real-time simulation of electromagnetic transient. © 2023 IEEE.

关键词： Jitter

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Low-Carbon Dispatch Strategy for Virtual power Plant Based on Bagging Ensemble Learning Forecasting Method 7

Low-Carbon Dispatch Strategy for Virtual Power Plant Based o...

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

作者： Li, Guang Dong, Xin Li, Li Yu, Yue Li, Changgang State Grid Jinan Power Supply Company Jinan China Key Laboratory of Power System Intelligent Dispatch and Control Ministry of Education Shandong University Jinan China

ISBN: (纸本)9798350366945

Virtual power plants (VPPs) struggle with peak-shaving due to unreliable distributed generation (DG) data and the intermittent nature of wind and solar power, impacting carbon emissions. This paper proposes a low-carbon dispatch strategy for VPPs based on a Bagging ensemble forecasting model. Firstly, a VPP dispatch framework based on DG output and load forecasting is established, and a Bagging ensemble forecasting model with feature selection is proposed. Secondly, the control characteristics of flexible industrial, commercial, and residential loads are analyzed to establish a control cost model, which is then integrated with the balanced relationship between wind, photovoltaic, and energy storage, as well as the carbon emission mechanism, to formulate a low-carbon dispatch model. Finally, the simulation results show that the proposed strategy can improve the accuracy of DG output and load forecasting in complex feature environments while realizing the interaction between source-grid-load and reducing the generation and operation costs of the grid. © 2024 IEEE.

关键词： Carbon capture and utilization

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