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

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

ISBN: (纸本)9798331518066

To address the issue of insufficient accuracy in wind power output forecasting, this paper proposes a Support Vector Machine (VSM) model based on similar day matching and kernel entropy component analysis for wind power prediction. The model effectively extracts similar day features through the similar day approach and optimizes feature representation by combining it with kernel entropy component analysis (KECA), ultimately employing the SVM model for wind farm power forecasting. simulation results demonstrate that using this model for optimizing wind power generation predictions enhances the accuracy of wind power forecasts, surpassing the precision of single-method predictions. The Similar Day-KECA-SVM method leverages historical data from similar days and features extracted through KECA, with SVM performing the final prediction. This approach adeptly handles complex patterns and nonlinear relationships in wind power forecasting, thereby achieving superior predictive performance. © 2024 IEEE.

关键词： Wind forecasting

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Design and Implementation of power system simulation Platform Based on Cloud Computing 4

Design and Implementation of Power System Simulation Platfor...

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

作者： Lu, Yuanhong Guo, Haiping Zhao, Yanjun Huang, Libin Hu, Binjiang Luo, Hui Zhang, Jingyue National Energy Power Grid Technology R&d Centre Guangzhou China 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)9798331518066

power system simulation involves simulating the operating states and dynamic processes of power systems using mathematical models and computer technology to analyze and predict system behavior. Traditional simulation methods struggle to meet the needs of large-scale, complex power grids due to significant demands for computational resources. Cloud computing, with its high scalability, resource pooling, and on-demand services, is ideally suited for the extensive simulation calculations required by modern power systems. Despite its advantages, the application of cloud computing in power system simulation poses challenges related to data security and privacy, particularly in collaborative simulations involving multiple power entities. This paper presents the design and implementation of a cloud computing-based power system simulation platform. The proposed platform leverages the distributed computing capabilities of cloud computing, integrates federated learning to ensure data privacy, and utilizes advanced power system simulation technologies. This approach significantly enhances simulation efficiency and accuracy while providing data security and privacy protection. The platform offers reliable decision support for power system planning, operation, and control. © 2024 IEEE.

关键词： Cloud platforms

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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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Distributed power system simulation and Monitoring Supported by Cloud Technology : A grid optimization scheduling method based on MADRL 4

Distributed Power System Simulation and Monitoring Supported...

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

作者： Luo, Hui Zhang, Jie Hu, Yufeng Zhang, Jingyue Guo, Haiping Huang, Libin Csg Key Laboratory for Power System Simulation Electric Power Research Institute China Southern Power Grid Guangzhou China 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 National Energy Power Grid Technology R&d Centre Guangzhou China

ISBN: (纸本)9798331518066

This study explores the optimization of Distributed Generation systems (DGS) within a Multi-Agent Deep Reinforcement Learning (MADRL) framework. The focus is on transforming the overall optimization goal of the system into a global reward function and designing local rewards adapted to heterogeneous agents. Using the IEEE 33 node system as a case study, the impact of power aggregation and load management from photovoltaic systems, energy storage systems, electric vehicle charging facilities, and HVAC systems is analyzed. The results demonstrate that the proposed edge-cloud collaborative framework optimizes resource allocation and scheduling. The cloud platform is capable of integrating data from diverse sources and managing it in a unified manner, thereby coordinating the operations of multiple heterogeneous agents. The scalability and flexibility of cloud technology allow for the dynamic adjustment of computational resources according to demand, ensuring global optimization and the judicious allocation of resources. © 2024 IEEE.

关键词： Cloud platforms

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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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Design and Implementation of a Cross-Platform Real-Time power system simulation Software for the New power system 4

Design and Implementation of a Cross-Platform Real-Time Powe...

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4th International Conference on Intelligent power and systems, ICIPS 2024

作者： Huang, Ying Lu, Yuanhong Zhang, Jingyue Zhan, Jie Zhao, Yanjun Hu, Yufeng China Southern Power Grid State Key Laboratory of HVDC Electric Power Research Institute China Southern Power Grid 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 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 National Energy Power Grid Technology R & D Centre Guangzhou Guangzhou510663 China China Southern Power Grid Guangzhou CSG Key Laboratory for Power System Simulation Electric Power Research Institute Guangzhou510663 China

ISBN: (纸本)9798331532765

With the rapid increase in renewable energy installation nodes and the substantial enhancement of switching frequencies in the new power system, this paper proposes a design scheme for a cloud simulation software that employs the Latency Insertion Method (LIM) to decompose large-scale new power system models into several subsystems, enabling multi-platform integrated parallel computing. The self-developed platform meets the demands of ultra-large simulation scales, ultra-small simulation time steps, and massive simulation computations in power systems. Experimental results demonstrate that the accelerated simulation technology, which integrates model segmentation using LIM with multi-core parallel execution, can enhance the simulation speed by up to 858 times while maintaining simulation accuracy. This significantly improves simulation efficiency and is suitable for large-scale simulations of new power systems. © 2024 IEEE.

关键词： power systems computer aided design

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Identifiability Analysis of Load Model Parameters by Estimating Confidential Intervals

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CSEE Journal of power and Energy systems 2023年第5期9卷 1666-1675页

作者： Xinran Zhang Chao Lu Ying Wang Qiantu Ruan Hongbo Ye Weihong Wang the School of Automation Science and Electrical Engineering Beihang UniversityBeijing 100191China. the State Key Laboratory of Control and Simulation of Power System and Generation Equipment Tsinghua UniversityBeijing 100084China School of Technology Beijing Forestry UniversityBeijing 100083China the State Grid Shanghai Electric Power Company Shanghai 200122China

The identification of load model parameters from practical measurement data has become an essential method to build load models for power system simulation,analysis and *** practical situations,the accuracy of the load model parameters identification results is impacted by data quality and measurement accuracy,which leads to the problem of *** this paper,an identifiability analysis methodology of load model parameters,by estimating the confidential intervals(CIs)of the parameters,is *** load model structure and the combined optimization and regression method to identify the parameters are first ***,the definition and analysis method of identifiability are *** CIs of the parameters are estimated through the profile likelihood method,based on which a practical identifiability index(PII)is defined to quantitatively evaluate ***,the effectiveness of the proposed analysis approach is validated by the case study results in a practical provincial power *** results show that the impact of various disturbance magnitudes,measurement errors and data length can all be reflected by the proposed ***,the proposed PII can provide guidance in data length selection in practical load model identification situations.

关键词： Confidential interval Load modeling parameter estimation practical identifiability

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The Fault Diagnosis Method of Photovoltaic DC Transmission Line Based on the Current Polarity Zero-Crossing Characteristics 6

The Fault Diagnosis Method of Photovoltaic DC Transmission L...

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6th International Conference on HVDC, HVDC 2024

作者： Ma, Jian Qi, Xiaoxiao Liu, Zhen Wang, Xiaoyun Ma, Xing Zao, Weihong Electric Power Research Institute of State Grid Xinjiang Electric Power Co. Ltd. Xinjiang Key Laboratory of Whole Process Simulation for Power System Urumqi China

ISBN: (纸本)9798350387759

When the large-scale photovoltaic power station adopts the method of DC step-up collection access system, the fault of DC transmission line needs to be identified quickly and accurately. By analyzing the fault characteristics of inter-pole short circuit of photovoltaic DC transmission line, a fault diagnosis method based on current polarity zero-crossing characteristics of fault current polarity is proposed. This method combines the zero-crossing times of fault current and its slope characteristics to construct a diagnosis method. The least square method is used to describe the slope characteristics of the fault current, and the number of zero-crossings is added to construct the criterion, so as to avoid the misjudgment caused by the single instantaneous current change rate and the damage to the DC system caused by the long discrimination time when the inter-pole short-circuit fault occurs. The simulation model of 1 MW / ±30 kV photovoltaic DC step-up access system is built by PSIM simulation software. The simulation results show that the method can quickly and accurately diagnose the fault section. © 2024 IEEE.

关键词： DC transmission DC-DC converter fault diagnosis photovoltaic power generation zero-crossing

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Coordinated optimal configuration scheme of wind-solar ratio and energy storage considering wind-solar complementary characteristics 6

Coordinated optimal configuration scheme of wind-solar ratio...

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6th International Conference on Energy, power and Grid, ICEPG 2024

作者： Yang, Xiuyu Li, Zhiwen Peng, Jian Miu, Gang Yuan, Shaowei Zhu, Zhengyin Northeasst Electric Power University Key Laboratory of Modern Power System Simulation Control and New Green Energy Technology Ministry of Education Jilin China State Grid Xinjiang Power Supply Company State Grid Urumqi Power Supply Company Urumqi City China

ISBN: (纸本)9798350377798

This study proposes a collaborative optimization configuration scheme of wind-solar ratio and energy storage based on the complementary characteristics of wind and light. On the premise of maintaining the stability of the wind-solar hybrid power generation system, the optimal allocation model of wind-solar ratio and energy storage considering the complementary characteristics of wind-solar is established with the minimum total cost of planning. At the same time, three indicators of power fluctuation index, wind-solar permeability and new energy abandonment rate are proposed to evaluate the scheme. © 2024 IEEE.

关键词： Windmill

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Research on Back-to-Back HVDC Additional Frequency Synchronous control Strategy Applied to Asynchronous Interconnected systems

Research on Back-to-Back HVDC Additional Frequency Synchrono...

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2023 IEEE Sustainable power and Energy Conference, iSPEC 2023

作者： Chen, Qinlei Huang, Libin Li, Shuyong Lin, Xuehua Wu, Wencong Wu, Mingkang Tu, Liang Guo, Qi CSG Key Laboratory for Power System Simulation Electric Power Research Institute China Southern Power Grid Guangzhou China State Key Laboratory of HVDC 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

ISBN: (纸本)9798350322699

When regional power grid is asynchronized by high voltage direct current (HVDC) systems, the division of frequency regulation resources and reserve capacity weakens the system's ability to resist load fluctuation and fault disturbance. With the continuous promotion of electricity market construction in China, the demand of building a unified frequency regulation auxiliary market for the whole power grid is increasingly frequent. In this paper, with the objectives of improving the overall frequency regulation performance of asynchronous interconnected systems and refers to the power transmission characteristics of AC transmission lines. The additional frequency synchronous control (AFSC) strategy of back-to-back HVDC was studied, which enables back-to-back HVDC to automatically adjust the transmission power based on the frequency difference on both sides. Then, taking Luxi back-to-back HVDC of China Southern power Grid (CSG) as an example, the specific implementation of AFSC strategy is studied, and the effectiveness of the proposed strategy is verified by real-time simulation. Finally, the on-site practical application of this strategy was analyzed. © 2023 IEEE.

关键词： additional frequency synchronous control (AFSC) Asynchronous interconnected systems back-to-back HVDC

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